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prevalence</title> <meta name="description" content="Search results for: obesity prevalence"> <meta name="keywords" content="obesity prevalence"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="obesity prevalence"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2269</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: obesity prevalence</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2269</span> Driving towards Better Health: A Cross-Sectional Study of the Prevalence and Correlates of Obesity among Commercial Drivers in East London, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Ter%20Goon">Daniel Ter Goon</a>, <a href="https://publications.waset.org/abstracts/search?q=Aanuoluwa%20O.%20Adedokun"> Aanuoluwa O. Adedokun</a>, <a href="https://publications.waset.org/abstracts/search?q=Eyitayo%20Omolara%20Owolabi"> Eyitayo Omolara Owolabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Oladele%20Vincent%20Adeniyi"> Oladele Vincent Adeniyi</a>, <a href="https://publications.waset.org/abstracts/search?q=Anthony%20Idowu%20Ajayi"> Anthony Idowu Ajayi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The unhealthy food choices and sedentary lifestyle of commercial drivers predisposes them to obesity and obesity related diseases. Yet, no attention has been paid to obesity burden among this high risk group in South Africa. This study examines the prevalence of obesity and its risk factors among commercial drivers in East London, South Africa. Methods: This cross-sectional study utilized the WHO STEP wise approach to screen for obesity among 403 drivers in Buffalo City Metropolitan Municipality (BCMM), South Africa. Anthropometric, blood pressure and blood glucose measurements were taken following a standard procedure. Overweight and obesity was defined as a body mass index (BMI) of 25.0 kgm⁻²–29.9 kg/m² and≥ 30 kg/ m², respectively. Bivariate and multivariate analysis were used to determine the prevalence and determinants of obesity. Result: The mean age of the participants was 43.3 (SD12.5) years, mean height (cm) and weight (kg) were 170.1(6.2cm) and 83(SD18.7), respectively. The prevalence of overweight and obesity was 34.0% and 38.0%, respectively. After adjusting for confounding factors, only age (OR 1.6, CI 1.0-2.7), hypertension (OR 3.6, CI 2.3-5.7) and non-smoking (OR 2.0, CI 1.3-3.1) were independent predictors of obesity. Conclusion: The prevalence of overweight and obesity is high among commercial drivers. Age, hypertension, and non-smoking were independent predictors of obesity among the sample. Measures aimed at promoting health and reducing obesity should be prioritized among this group. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity%20and%20overweight" title="obesity and overweight">obesity and overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=commercial%20taxi%20drivers" title=" commercial taxi drivers"> commercial taxi drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20Africa" title=" South Africa"> South Africa</a> </p> <a href="https://publications.waset.org/abstracts/93959/driving-towards-better-health-a-cross-sectional-study-of-the-prevalence-and-correlates-of-obesity-among-commercial-drivers-in-east-london-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93959.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">345</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2268</span> The Prevalence of Overweight and Obesity among Adolescents in Public and Private Schools in Two Senatorial Districts of Osun State, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20Akinola">O. Akinola</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Mustapha"> R. Mustapha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is the most serious long-term health problem currently facing adolescents and its prevalence increasing worldwide including developing countries. A cross-sectional study was carried out among age 11-19 years in both public and private school in the urban area of the state. The data was collected using pretest self-administered questionnaire; Anthropometric measurement was also used to examine their nutritional status. Obesity status were determined using BMI cut off point, the overweight was found to be 3.06% among female and 0.6% among male whereas the prevalence of obesity was 0.46% in female and non among male. 62.6% snack daily, fruit consumption pattern was low 0.6%, and 43.7% spend between 4-5 hours watching television daily after school. A positive association exists between the lifestyle and nutritional status of the respondents. Education effort to improve nutrition knowledge can be incorporated into course curriculum and focus on various components within the system when implementing preventive measure on obesity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adolescent" title="adolescent">adolescent</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a> </p> <a href="https://publications.waset.org/abstracts/83183/the-prevalence-of-overweight-and-obesity-among-adolescents-in-public-and-private-schools-in-two-senatorial-districts-of-osun-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">332</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2267</span> The Effect of Parents BMI on Overweight and Obesity Elementary School Students in Behbahan City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hosseini%20Siahi%20Zohreh">Hosseini Siahi Zohreh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sana%20Mohammad%20Jafar"> Sana Mohammad Jafar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The prevalence of overweight and obesity in children and adolescents has increased in recent decades in different countries. Childhood obesity, increases the risk of adult obesity and its related diseases. Determine the prevalence of the problem in different populations results to screening and adequate intervention and the effects of early and late complications. Various studies have shown Parents and family environment has a significant impact on the incidence of overweight and obesity in children. As parental obesity is directly related to child obesity. In this study were selected randomly 60 girl students with a BMI above the 95th percentile (as fat) and BMI greater than 85 and less than 95 (overweight). So 60 were selected randomly of girl students with a BMI of between 5 and 85 (normal). In the case of boys was done exactly the same. Case and control groups were matched according to age and grade for statistical analysis of SPPS software version 17. According to results the prevalence of overweight and obesity in girl students respectively is 8.7 percent and 13.76 percent and in boy students 9.9 percent and 10.42 percent. Also was not found in boys group the relationship significant between obesity and overweight with parents BMI. Whereas in girls group was found a significant relationship. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parents%20BMI" title="parents BMI">parents BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=primary%20school%20students" title=" primary school students"> primary school students</a> </p> <a href="https://publications.waset.org/abstracts/33950/the-effect-of-parents-bmi-on-overweight-and-obesity-elementary-school-students-in-behbahan-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33950.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">518</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2266</span> Pilot Study of Overweight and Obesity among 8-9 Year Old Schoolchildren in the Republic of Kazakhstan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Z.%20E.%20Battakova">Z. E. Battakova </a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Z.%20Tokmurziyeva"> G. Z. Tokmurziyeva</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Z.%20Abdrakhmanova"> S. Z. Abdrakhmanova</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Akimbaeva"> A. A. Akimbaeva</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Adaeva"> A. A. Adaeva </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: In the Republic of Kazakhstan few studies have quantified overweight rates among children. Assessment of overweight and obesity in school children based on measured inter country comparable data has not been implemented. In this regard, in a pilot region, Aktobe oblast, prevalence of obesity among school children was studied based on the protocol of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative. Methods: The study was conducted on sample of 800 children of 2-3 grades in September 2014. The anthropometric variables were measured by standardized equipment to calculate body mass index. Prevalence of overweight and obesity was determined for 8 and 9 year old children by gender using WHO growth reference 2007. Results: 21,4% of children aged 8 years old were overweight, and 8,7% were obese. Among 8 year old boys the prevalence of overweight and obesity was 23,7% and 10,6% respectively, among girls 18,9% and 6,7% respectively. The prevalence of overweight was 25,7% and obesity was 10,8% for 9 year old children. 29,6% boys of 9 years of age were overweight and 8,6% were obese respectively.20,9% of 9 year old girls were overweight and 13,4% were obese. Conclusion: Thus, 22,6% of children 8-9 years of age at the study population were overweight and 9,3% obese. The results of the survey demonstrate the need for further study of indicators at the national level for internationally comparable data and actions to tackle childhood obesity epidemic as well as the need for monitoring trends of overweight and obesity among children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=8-9%20year%20old%20school%20children" title="8-9 year old school children">8-9 year old school children</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title=" body mass index"> body mass index</a> </p> <a href="https://publications.waset.org/abstracts/29301/pilot-study-of-overweight-and-obesity-among-8-9-year-old-schoolchildren-in-the-republic-of-kazakhstan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29301.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2265</span> Prevalence of Obesity in Kuwait: A Case Study among Kuwait University Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Alnasrallah">Mohammad Alnasrallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Almatar"> Muhammad Almatar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study seeks to understand the relationship between the effect of geography and obesity prevalence among Kuwait University students. The sample involved 735 participants, 231 male, and 504 females, where there is a high percentage of them are overweight and obese. The percentage of overweight is 21% (BMI >25 - 30) while the percentage of obesity is 13.7% (BMI > 30). Both overweight and obese people account for 34.7%. In the study area, there are 327 fast food restaurants located in different places of in the urban area. This study uses the Geographic Information System to analyze the distribution of obesity and fast food restaurants. The study found that within half kilometers of fast food outlets, there are 33% of normal weight (BMI < 25), 30% of overweight while for the obese people there are 43 %, which shows that obesity is linked to the location of fast food restaurants. One of the significant tools that were used in this study hot and cold spots. The study found that areas of hot spots of fast food restaurants tend to be located in areas of hot spots of obese people. In conclusion, studying the prevalence of obesity from geographical perspective help to understand this public health issue and its relation to the effect of geography. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence" title="obesity prevalence">obesity prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20food" title=" fast food"> fast food</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuwait" title=" Kuwait"> Kuwait</a> </p> <a href="https://publications.waset.org/abstracts/97952/prevalence-of-obesity-in-kuwait-a-case-study-among-kuwait-university-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97952.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2264</span> Similar Correlation of Meat and Sugar to Global Obesity Prevalence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenpeng%20You">Wenpeng You</a>, <a href="https://publications.waset.org/abstracts/search?q=Maciej%20Henneberg"> Maciej Henneberg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Sugar consumption has been overwhelmingly advocated as a major dietary offender to obesity prevalence. Meat intake has been hypothesized as an obesity contributor in previous publications, but a moderate amount of meat to be included in our daily diet still has been suggested in many dietary guidelines. Comparable sugar and meat exposure data were obtained to assess the difference in relationships between the two major food groups and obesity prevalence at population level. Methods: Population level estimates of obesity and overweight rates, per capita per day exposure of major food groups (meat, sugar, starch crops, fibers, fats and fruits) and total calories, per capita per year GDP, urbanization and physical inactivity prevalence rate were extracted and matched for statistical analysis. Correlation coefficient (Pearson and partial) comparisons with Fisher’s r-to-z transformation and β range (β ± 2 SE) and overlapping in multiple linear regression (Enter and Stepwise) were used to examine potential differences in the relationships between obesity prevalence and sugar exposure and meat exposure respectively. Results: Pearson and partial correlations (controlled for total calories, physical inactivity prevalence, GDP and urbanization) analyses revealed that sugar and meat exposures correlated to obesity and overweight prevalence significantly. Fisher's r-to-z transformation did not show statistically significant difference in Pearson correlation coefficients (z=-0.53, p=0.5961) or partial correlation coefficients (z=-0.04, p=0.9681) between obesity prevalence and both sugar exposure and meat exposure. Both Enter and Stepwise models in multiple linear regression analysis showed that sugar and meat exposure were most signiﬁcant predictors of obesity prevalence. Great β range overlapping in the Enter (0.289-0.573) and Stepwise (0.294-0.582) models indicated statistically sugar and meat exposure correlated to obesity without significant difference. Conclusion: Worldwide sugar and meat exposure correlated to obesity prevalence at the same extent. Like sugar, minimal meat exposure should also be suggested in the dietary guidelines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=meat" title="meat">meat</a>, <a href="https://publications.waset.org/abstracts/search?q=sugar" title=" sugar"> sugar</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20surplus" title=" energy surplus"> energy surplus</a>, <a href="https://publications.waset.org/abstracts/search?q=meat%20protein" title=" meat protein"> meat protein</a>, <a href="https://publications.waset.org/abstracts/search?q=fats" title=" fats"> fats</a>, <a href="https://publications.waset.org/abstracts/search?q=insulin%20resistance" title=" insulin resistance"> insulin resistance</a> </p> <a href="https://publications.waset.org/abstracts/48050/similar-correlation-of-meat-and-sugar-to-global-obesity-prevalence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48050.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2263</span> Prevalence of Selected Cardiovascular Risk Factors Obesity among University of Venda Staff</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Avhasei%20Dorothy%20Rasifudi">Avhasei Dorothy Rasifudi</a>, <a href="https://publications.waset.org/abstracts/search?q=Josephine%20Mandizha"> Josephine Mandizha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cardiovascular risk factors continue to be the leading cause of death in the majority of developed and developing countries. In 2011, the World Health Organization reported that every year an estimated 17 million people globally die of CVD, representing 30% of all global deaths, particularly caused by heart attacks and strokes. The purpose of the study was to determine and describe the prevalence of selected cardiovascular risk factors among university of Venda staff. A cross-sectional study was conducted among 100 staff aged 20-65 years. The anthropometric measurements were conducted in accordance to and with standardized procedures advocated by the International Society for the Advanced Kinanthropometry. Weight, Height, waist circumference and hip circumference were measured for calculation of body mass index and waist-hip ratio. Blood pressure was measured using a Heine cuff and sphygmomanometer. Questionnaire was administered to gather demographic details and cardiovascular risk factors of hypertension and obesity. Data were analyzed using mean and standard deviation. The parameter t-test was applied to test significance level at p ≤ 0.05 between sexes. The statistical significance was set at p ≤ 0.05. The prevalence of hypertension was 23% with the highest prevalence amongst those aged 40 years and above. Factors found to be to be significantly associated with hypertension were gender, age, physical inactivity and family history. Prevalence of obesity was 43%, with the highest prevalence among those aged 40 years. The factors associated with obesity were diet, age and physical activity. The prevalence of hypertension and obesity in the study were high. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cardiovascular" title="cardiovascular">cardiovascular</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=staff" title=" staff"> staff</a> </p> <a href="https://publications.waset.org/abstracts/52225/prevalence-of-selected-cardiovascular-risk-factors-obesity-among-university-of-venda-staff" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52225.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2262</span> Stakeholders Views on Why Childhood Obesity is Rising in Lagos, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20A.%20Adedini">A. A. Adedini</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20A.%20Aina"> B. A. Aina</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20U.%20Ogbo"> P. U. Ogbo </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Child obesity is on the rise globally. According to the World Health Organization, the number of obese children would increase to 70 million by 2025 if no intervention is made. An increase in the prevalence of overweight and obesity amongst school children in Lagos State, Nigeria has been established but specific factors promoting its prevalence are unknown. This aim of this study is to identify the commonly expressed factor(s) responsible for the rise in prevalence of child overweight and obesity in Lagos, Nigeria. Five focus group discussions were conducted with different groups of stake-holders involved in child care, namely: parents, teachers and health workers. Participants were recruited using a purposive sampling method; a validated question guide was employed for the discussion sessions. The discussions were recorded, collated, analysed using Grounded theory to extract themes. Six themes emerged from the discussions as follows: Civilization and lifestyle imbalance resulting from busy work schedules of young mothers leading to adoption of westernized culture promoting preference for processed and fast food meals; insecurity and congestion of the state which discourages out-door activities; ignorance of the populace on the prevalence of child obesity in the state; inadequate educative and enlightenment programmes in schools and by the Nigerian government; myths on child care and body physique and societal perceptions of the children born into affluent homes. Some of the factors responsible for the rise in the prevalence of child obesity in Lagos, Nigeria have been identified. Preventive strategies to control the prevalence of obesity in children residing in Lagos state is considered for further studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Childhood%20Obesity" title="Childhood Obesity">Childhood Obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=factors" title=" factors"> factors</a>, <a href="https://publications.waset.org/abstracts/search?q=lagos%20state" title=" lagos state"> lagos state</a>, <a href="https://publications.waset.org/abstracts/search?q=stakeholders" title=" stakeholders"> stakeholders</a> </p> <a href="https://publications.waset.org/abstracts/26957/stakeholders-views-on-why-childhood-obesity-is-rising-in-lagos-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26957.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">375</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2261</span> Trend of Overweight and Obesity, Based on Population Study among School Children in North West of Iran: Implications for When to Intervene</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sakineh%20Nouri%20Saeidlou">Sakineh Nouri Saeidlou</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Rezaiegoyjeloo"> Fatemeh Rezaiegoyjeloo</a>, <a href="https://publications.waset.org/abstracts/search?q=Parvin%20Ayremlou"> Parvin Ayremlou</a>, <a href="https://publications.waset.org/abstracts/search?q=Fariba%20Babaie"> Fariba Babaie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Childhood overweight and obesity is a major public health problem in both developed and developing countries. Overweight and obesity in children may have severe consequences later in adolescence and adulthood. The aim of current study was to determine the prevalence trend of overweight and obesity in school-aged children from 2009 to 2011. Methods: The present study was a population-based study and conducted in three consecutive years, from 2009 to 2011. The study population included all of primary, secondary and high school children in rural and urban regions of West Azarbijan province in West-North of Iran. Body mass index (BMI), the ratio of weight to height squared [weight (kg)]/ [height (m)]2, was calculated to the nearest decimal place. Overweight and obesity were classified using CDC recommendations for age and sex: a BMI 85th–95th percentile was classified as overweight and a BMI>95th percentile was classified as obese. All statistical analyses were performed using the Excel Software. Descriptive statistics were used to characterize the sample in different time periods. The prevalence was calculated as the ratio of number present cases to a given population number in a given subgroup at a given time. Results: Overall, 165740, 145146 and 146203 school children were assessed at 2009, 2010 and 2011, respectively. Prevalence of overweight in primary school children among girls were 52.83, 86.93 and 116.36 and for boys were 57.07, 53.4 and 93.55 per 1000 person in 2009, 2010 and 2011 years ,respectively. The prevalence of obesity in secondary school children for girls were 22.26, 27.75 and 28.43 and 26.52, 25.72 and 35.85 for boys per 1000 person in 2009, 2010 and 2011, respectively, The highest prevalence of overweight was 77.58, 142.4 and 126.46 per 1000 person among primary, secondary and high school children, respectively, in 2011. The lowest prevalence of obesity was 12.52, 24.1 and 21.61 per 1000 person among primary, secondary and high school children, respectively, in 2009. Conclusion: However, the rapid increase in both obesity and overweight should have a special attention. Research on prevalence trend of overweight and obesity in children is poorly reported in Iran. So that, future studies need to follow-up on the associations between overweight and obesity with health outcomes when children develop and reach adolescence and adulthood. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=overweight" title="overweight">overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=school%20children" title=" school children"> school children</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence%20trend" title=" prevalence trend"> prevalence trend</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a> </p> <a href="https://publications.waset.org/abstracts/42479/trend-of-overweight-and-obesity-based-on-population-study-among-school-children-in-north-west-of-iran-implications-for-when-to-intervene" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2260</span> Intimate Partner Violence and Risk of Obesity among Women</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Abdollahi">Fatemeh Abdollahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Munn-Sann%20Lye"> Munn-Sann Lye</a>, <a href="https://publications.waset.org/abstracts/search?q=Jamshid%20Yazdani%20Charati"> Jamshid Yazdani Charati</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehran%20Zarghami"> Mehran Zarghami</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Both obesity and intimate partner violence (IPV) are growing health threats. This study aimed to assess the prevalence and risk factors of both IPV and obesity and their association. In this cross-sectional study, 530 women aged 16-65 years attending Mazandaran primary health centers were recruited through the stratified random sampling method (2019-2020). Data were collected using the modified World Health Organization Domestic Violence questionnaire, Perceived Stress Scale, and socio-demographic, obstetric, and anthropometric questionnaires. The data were analyzed using descriptive statistics, the chi-square test, and multiple logistic regression. The prevalence of overweight, obesity and psychological, physical, and sexual IPV were 47.6%, 26.7%, 70.4%, 17.9%, and 6.4%, respectively. Increasing women’s educational level and exposure to violence during their lifespan increased the odds of any type of IPV while living in a nuclear family reduced it. In groups of women who were subjected to any type of IPV and only psychological IPV, experiencing violence during the lifespan was significant in predicting obesity. The alarming prevalence of IPV and obesity-overweight in this study points to the need for collaborative socio-political and health intervention. The link between experiencing violence during lifespan and obesity in some subgroups of women highlights the detrimental consequences of chronic violence and the urgent need for effective preventive programs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intimate%20partner%20violence" title="intimate partner violence">intimate partner violence</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title=" body mass index"> body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factor" title=" risk factor"> risk factor</a>, <a href="https://publications.waset.org/abstracts/search?q=women" title=" women"> women</a> </p> <a href="https://publications.waset.org/abstracts/161620/intimate-partner-violence-and-risk-of-obesity-among-women" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161620.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">102</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2259</span> Socioeconomic Disparities in the Prevalence of Obesity in Adults with Diabetes in Israel</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yael%20Wolff%20Sagy">Yael Wolff Sagy</a>, <a href="https://publications.waset.org/abstracts/search?q=Yiska%20Loewenberg%20Weisband"> Yiska Loewenberg Weisband</a>, <a href="https://publications.waset.org/abstracts/search?q=Vered%20Kaufman%20Shriqui"> Vered Kaufman Shriqui</a>, <a href="https://publications.waset.org/abstracts/search?q=Michal%20Krieger"> Michal Krieger</a>, <a href="https://publications.waset.org/abstracts/search?q=Arie%20Ben%20Yehuda"> Arie Ben Yehuda</a>, <a href="https://publications.waset.org/abstracts/search?q=Ronit%20Calderon%20Margalit"> Ronit Calderon Margalit</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is both a risk factor and common comorbidity of diabetes. Obesity impedes the achievement of glycemic control, and enhances damage caused by hyperglycemia to blood vessels; thus it increases diabetes-related complications. This study assessed the prevalence of obesity and morbid obesity among Israeli adults with diabetes, and estimated disparities associated with sex and socioeconomic position (SEP). Methods: A cross-sectional study was conducted in the setting of the Israeli National Program for Quality Indicators in Community Healthcare. Data on all the Israeli population is retrieved from electronic medical records of the four health maintenance organizations (HMOs). The study population included all Israeli patients with diabetes aged 20-64 with documented body mass index (BMI) in 2016 (N=180,451). Diabetes was defined as the existence of one or more of the following criteria: (a) Plasma glucose level >200 mg% in at least two tests conducted at least one month apart in the previous year; (b) HbA1c>6.5% at least once in the previous year (c) at least three prescriptions of diabetes medications were dispensed during the previous year. Two measures were included: the prevalence of obesity (defined as last BMI≥ 30 kg/m2 and <35 kg/m2) and the prevalence of morbid obesity (defined as last BMI≥ 35 kg/m2) in individuals aged 20-64 with diabetes. The cut-off value for morbid obesity was set in accordance with the eligibility criteria for bariatric surgery in diabetics. Data were collected by the HMOs and aggregated by age, sex and SEP. SEP was based on statistical areas ranking by the Israeli Central Bureau of Statistics and divided into 4 categories, ranking from 1 (lowest) to 4 (highest). Results: BMI documentation among adults with diabetes was 84.9% in 2016. The prevalence of obesity in the study population was 30.5%. Although the overall rate was similar in both sexes (30.8% in females, 30.3% in males), SEP disparities were stronger in females (32.7% in SEP level 1 vs. 27.7% in SEP level 4; 18.1% relative difference) compared to males (30.6% in SEP level 1 vs. 29.3% in SEP level 4; 4.4% relative difference). The overall prevalence of morbid obesity in this population was 20.8% in 2016. The rate among females was almost double compared to the rate in males (28.1% and 14.6%, respectively). In both sexes, the prevalence of morbid obesity was strongly associated with lower SEP. However, in females, disparities between SEP levels were much stronger (34.3% in SEP level 1 vs. 18.7% in SEP level 4; 83.4% relative difference) compared to SEP-disparities in males (15.7% in SEP level 1 vs. 12.3% in SEP level 4; 27.6% relative difference). Conclusions: The overall prevalence of BMI≥ 30 kg/m2 among adults with diabetes in Israel exceeds 50%; and the prevalence of morbid obesity suggests that 20% meet the BMI-criteria for bariatric surgery. Prevalence rates show major SEP- and sex-disparities; especially strong SEP disparities in morbid obesity among females. These findings highlight the need for greater consideration of different population groups when implementing interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diabetes" title="diabetes">diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20disparities" title=" health disparities"> health disparities</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20policy" title=" health policy"> health policy</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-economic%20position" title=" socio-economic position"> socio-economic position</a> </p> <a href="https://publications.waset.org/abstracts/97256/socioeconomic-disparities-in-the-prevalence-of-obesity-in-adults-with-diabetes-in-israel" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97256.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2258</span> Childhood Obesity in Japan: Trends in Obesity Prevalence among Japanese Kids under 17 Years Old from 2007 to 2016</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Houda%20Mnif%20Sellami">Houda Mnif Sellami</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshi%20Umehara"> Toshi Umehara</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuriko%20Yamazaki"> Yuriko Yamazaki</a>, <a href="https://publications.waset.org/abstracts/search?q=Reie%20Matoba"> Reie Matoba</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Sakashita"> Anna Sakashita</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshimi%20Abe"> Yoshimi Abe</a>, <a href="https://publications.waset.org/abstracts/search?q=Hiroyuki%20Otake"> Hiroyuki Otake</a>, <a href="https://publications.waset.org/abstracts/search?q=Satoko%20Morita"> Satoko Morita</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshitaka%20Akiyama"> Yoshitaka Akiyama</a>, <a href="https://publications.waset.org/abstracts/search?q=Chieko%20Morisawa"> Chieko Morisawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Eiji%20Omura"> Eiji Omura</a>, <a href="https://publications.waset.org/abstracts/search?q=Masako%20Yazawa"> Masako Yazawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshie%20Koike"> Yoshie Koike</a>, <a href="https://publications.waset.org/abstracts/search?q=Mitsugu%20Tokunaga"> Mitsugu Tokunaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Seiki%20Wada"> Seiki Wada</a>, <a href="https://publications.waset.org/abstracts/search?q=Shinya%20Minagawa"> Shinya Minagawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Masafumi%20Matsuda"> Masafumi Matsuda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Childhood obesity has been, for decades, a very serious public health problem worldwide. Some Asian countries have already reached alarming rates, as lifestyle changed dramatically in this part of the world. In many concerned countries, strategies including educational, promotional and awareness-raising activities have been established to combat obesity within kids. Objective: To estimate the obesity and also the underweight trends of Japanese kids from 5 to 17 years, by single year of age and by gender, over the last decade. Methods We used the data from the cross-sectional annual Nationwide surveys (National Nutrition Survey, Japan, Ministry of education, culture, sports, science and technology) conducted from 2007 to 2016. We compared trajectories of obesity prevalence, with the data on sex and age groups. We also analyzed energy and macronutrients intakes of Japanese kids using Ministry of Health, Labor and Welfare-Japan annual data, from 2007 to 2014. Results: From 2007 to 2016, Boys obesity was higher than Girls obesity for the over 6 YO participants. Both Boys and Girls obesity trends had 2 peaks of prevalence at (11-13 YO) and then at (15-16 YO). From 2007 to 2012, Kids obesity decreased considerably in both sex and all year of age; then obesity decline was more modest till 2016.On the other side, Kids underweight prevalence increased in both sexes. The macronutrients analyze couldn’t show an evident association between obesity trends and foods intake. Conclusion: Japanese kids’ obesity has been decreased since 2007, in opposition to some other countries reports. We didn’t find an observed association with food intake using Health Ministry data; we need further investigation to estimate energy intake, lifestyle and physical activity by year of age to know whether there is any possible relation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=childhood" title="childhood">childhood</a>, <a href="https://publications.waset.org/abstracts/search?q=Japan" title=" Japan"> Japan</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=underweight" title=" underweight"> underweight</a> </p> <a href="https://publications.waset.org/abstracts/74974/childhood-obesity-in-japan-trends-in-obesity-prevalence-among-japanese-kids-under-17-years-old-from-2007-to-2016" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74974.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2257</span> Smart Kids Coacher: Model for Childhood Obesity in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pornwipa%20Daoduong">Pornwipa Daoduong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jairak%20Loysongkroa"> Jairak Loysongkroa</a>, <a href="https://publications.waset.org/abstracts/search?q=Napaphan%20Viriyautsahakul"> Napaphan Viriyautsahakul</a>, <a href="https://publications.waset.org/abstracts/search?q=Wachira%20Pengjuntr"> Wachira Pengjuntr</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is on of serious health problem in many countries including Thailand where the prevalence of childhood obesity has increased from 8.8 % in 2014 to 9.5 % in 2015 and 12.9 % in 2016. The Ministry of Public Health’s objective is to reduce prevalence of childhood Obesity to 10% or lower in 2017, by implementing the measure in relation to nutrition, physical activity (PA) and environment in 6,405 targeted school with proportion of school children with obesity is higher than 10 %. Smart Kids Coacher (SKC)” is a new innovative intervention created by Department of Health and consists of 252 regional and provincial officers. The SKC aims to train the super trainers about food and nutrition.PA and emotional control through implementing three learning activities including 1) Food for Fun is about Nutrition flag, Nutrition label, food portion and Nutrition surveillance; 2) Fun for Fit includes intermediated- and advanced level workouts within 60 minutes such as kangaroo dance, Chair stretching; and 3) Control emotional is about to prevent probability of access to unhealthy food, to ensure for having meal in appropriate time, and to recruit peers and family member to increase awareness among target groups. Apart from providing SKC lesson for 3,828 officers at district level, a number of students (2,176) as role model are selected through implementing “Smart Kids Leader: (SKL)”.Consequently. The SKC lowers proportion of childhood obesity from 17% in 2012 to 12.9% in 2016. Further, the SKC coverage should be expanded to other setting. Policy maker should be aware of the important of reduction of the prevalence of childhood obesity, and it’s related risk. Network and Collaboration between stakeholders are essential as well as an improvement of holistic intervention and knowledge “NuPETHS” for kids in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=childhood%20obesity" title="childhood obesity">childhood obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=model" title=" model"> model</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20kids%20coacher" title=" smart kids coacher"> smart kids coacher</a> </p> <a href="https://publications.waset.org/abstracts/60930/smart-kids-coacher-model-for-childhood-obesity-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60930.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">244</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2256</span> Factors Associated with Overweight and Obesity among Recipients of Antiretroviral Therapy at HIV Clinics in Botswana</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jose%20G.%20Tshikuka">Jose G. Tshikuka</a>, <a href="https://publications.waset.org/abstracts/search?q=Goabaone%20Rankgoane-Pono"> Goabaone Rankgoane-Pono</a>, <a href="https://publications.waset.org/abstracts/search?q=Mgaywa%20G.%20M.%20D.%20Magafu"> Mgaywa G. M. D. Magafu</a>, <a href="https://publications.waset.org/abstracts/search?q=Julius%20C.%20Mwita"> Julius C. Mwita</a>, <a href="https://publications.waset.org/abstracts/search?q=Tiny%20Masupe"> Tiny Masupe</a>, <a href="https://publications.waset.org/abstracts/search?q=Fortunat%20M.%20Kandanda"> Fortunat M. Kandanda</a>, <a href="https://publications.waset.org/abstracts/search?q=Shimeles%20G.%20Hamda"> Shimeles G. Hamda</a>, <a href="https://publications.waset.org/abstracts/search?q=Roy%20Tapera"> Roy Tapera</a>, <a href="https://publications.waset.org/abstracts/search?q=Mooketsi%20Molefi"> Mooketsi Molefi</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20T.%20Tlhakanelo"> John T. Tlhakanelo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Factors associated with overweight and obesity among antiretroviral therapy (ART) recipients have not been sufficiently studied in Botswana. We aimed to study (i) the prevalence and trends in overweight/obesity by duration of exposure to ART among recipients, (ii) changes in body mass index (BMI) categories among recipients before ART initiation (BMI-1) and after ART initiation (BMI-2), (iii) associations between ART and overweight/obesity and (iv) factors associated with BMI changes among ART recipients. Methods: A 12 years retrospective record-based review was conducted. Factors potentially associated with BMI change among patients after at least three years of ART exposure were examined using multiple regression model. Adjusted odds ratios (AOR) and their 95% confidence intervals (CIs) were computed. ART regimens, duration of exposure to ART, and recipients’ demographic and biomedical characteristics including the presence or absence of diabetes mellitus related comorbidities (DRC) were investigated as potential factors associated with overweight/obesity. Results: Twenty-nine percent of recipients were overweight, 16.6% had obesity of whom 2.4% were morbidly-obese at the last clinic visit. Overweight/obesity recipients were more likely to be female, to have DRC and less likely to have nadir CD4 count or CD4 count between 201 – 249 cells/mm³. Neither the first-line nor the second-, third-line ART regimens predicted overweight/obesity more than the other and neither did the duration of exposure to ART. No significant linear trends were observed in the prevalence of overweight/obesity by the duration of exposure to ART. Conclusions: These results indicate that overweight/obesity seen among ART recipients is not directly induced by ART. ART used CD4 and/or DRC pathway to induce overweight/obesity seen among recipients; suggesting that, weight gain documented herein is likely a reflection of improved health status that mirrors trends in the general population or a DRC related effect. Weight management programs may be important components of HIV care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=overweight%2Fobesity" title="overweight/obesity">overweight/obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=recipients%20of%20antiretroviral%20therapy" title=" recipients of antiretroviral therapy"> recipients of antiretroviral therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=HIV%2FAIDS" title=" HIV/AIDS"> HIV/AIDS</a>, <a href="https://publications.waset.org/abstracts/search?q=Botswana" title=" Botswana"> Botswana</a> </p> <a href="https://publications.waset.org/abstracts/101279/factors-associated-with-overweight-and-obesity-among-recipients-of-antiretroviral-therapy-at-hiv-clinics-in-botswana" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101279.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">159</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2255</span> Prevalence of Obesity and Associated Risk Factors in South African Employees</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeanne%20Grace">Jeanne Grace</a>, <a href="https://publications.waset.org/abstracts/search?q=Shereen%20Currie"> Shereen Currie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity associated comorbidities increase the risk of morbidity and mortality among employees in the workplace. Objectives: The study aimed to determine the prevalence of obesity and comorbidities like diabetes, hypertension, and hypercholesterolemia associated with obesity within the workplace in South Africa. Methods: A total of 17359 male (n = 8561) and female (n = 8798) employees, aged between 18-64 years (40.8 ± 11.0), from various corporate and industrial companies in South Africa participated in the study. Subjects were assigned to one of five body mass index (BMI) categories, according to their BMI: normal weight, BMI of 18.5‒24.9 kg/m² (n = 7338); overweight, BMI of 25.0‒29.9 kg/m² (n = 6323); obese class I, BMI of 30.0-34.9 kg/m² (n = 2552); obese class II, BMI of 35.0-39.9 kg/m² (n = 782); and obese class III, BMI of ≥ 40 kg/m² (n = 364). Height, weight, blood pressure, random blood glucose, and total cholesterol were measured. Results: The prevalence of normal weight men was 29.2% and women 55.0%; overweight men 46.4% and women 26.7%, obese men 24.4% and women 18.3%. A significant association (p<0.01) of BMI with diabetes, systolic and diastolic hypertension, and hypercholesterolemia were noted. Conclusion: Obesity is strongly associated with adverse comorbidities that may impact employees’ quality of life and performance. If unaddressed, it can increase comorbidities, not only affecting the bottom line of companies but causing morbidity and mortality, including sudden death. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title="body mass index">body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=cholesterol" title=" cholesterol"> cholesterol</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20glucose" title=" blood glucose"> blood glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=workplace" title=" workplace"> workplace</a> </p> <a href="https://publications.waset.org/abstracts/141292/prevalence-of-obesity-and-associated-risk-factors-in-south-african-employees" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141292.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">187</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2254</span> Gestational Vitamin D Levels Mitigate the Effect of Pre-pregnancy Obesity on Gestational Diabetes Mellitus: A Birth Cohort Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Majeda%20S.%20Hammoud">Majeda S. Hammoud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Aim: Gestational diabetes mellitus (GDM) is a common pregnancy complication affecting around 14% of pregnancies globally that carries short and long-term consequences to the mother and her child. Pre-pregnancy overweight or obesity is the most consistently and strongly associated modifiable risk factor with GDM development. This analysis aimed to determine whether vitamin D status during pregnancy modulates the effect of pre-pregnancy obesity/overweight on GDM risk while stratifying by maternal age. Methods: Data from the Kuwait Birth Cohort (KBC) study were analyzed, which enrolled pregnant women in the second or third trimester of gestation. Pre-pregnancy body mass index (BMI; kg/m2) was categorized as under/normal weight (<25.0), overweight (25.0 to <30.0), and obesity (≥30.0). 25 hydroxyvitamin D levels were measured in blood samples that were collected at recruitment and categorized as deficiency (<50 nmol/L) and insufficiency/sufficiency (≥50 nmol/L). GDM status was ascertained according to international guidelines. Logistic regression was used to evaluate associations, and adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated. Results: The analyzed study sample included a total of 982 pregnant women, with a mean (SD) age of 31.4 (5.2) years. The prevalence of GDM was estimated to be 17.3% (95% CI: 14.9-19.7), and the prevalence of pre-pregnancy overweight and obesity was 37.8% (95% CI: 34.8-40.8) and 28.8% (95% CI: 26.0-31.7), respectively. The prevalence of gestational vitamin D deficiency was estimated to be 55.3% (95% CI: 52.2-58.4). The association between pre-pregnancy overweight or obesity with GDM risk differed according to maternal age and gestational vitamin D status (Pinteraction[BMI × age × vitamin D = 0.047). Among pregnant women aged <35 years, prepregnancy obesity compared to under/normal weight was associated with increased GDM risk among women with gestational vitamin D deficiency (aOR: 3.65, 95% CI: 1.50-8.86, p = 0.004) and vitamin D insufficiency/sufficiency (aOR: 2.55, 95% CI: 1.16-5.61, p = 0.019). In contrast, among pregnant women aged ≥35 years, pre-pregnancy obesity compared to under/normal weight was associated with increased GDM risk among women with gestational vitamin D deficiency (aOR: 9.70, 95% CI: 2.01-46.69, p = 0.005), but not among women with vitamin D insufficiency/sufficiency (aOR: 1.46, 95% CI: 0.42-5.16, p = 0.553). Conclusion: The effect of pre-pregnancy obesity on GDM risk is modulated by maternal age and gestational vitamin D status, with the effect of pre-pregnancy obesity being more pronounced among older pregnant women (aged ≥35 years) with gestational vitamin D deficiency compared to those with vitamin D insufficiency/sufficiency. Whereas, among younger women (aged <35 years), the effect of pre-pregnancy obesity on GDM risk was not modulated by gestational vitamin D status. Therefore, vitamin D supplementation among pregnant women, specifically older women with pre-pregnancy obesity, may mitigate the effect of pre-pregnancy obesity on GDM risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gestational%20diabetes%20mellitus" title="gestational diabetes mellitus">gestational diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D" title=" vitamin D"> vitamin D</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title=" body mass index"> body mass index</a> </p> <a href="https://publications.waset.org/abstracts/187325/gestational-vitamin-d-levels-mitigate-the-effect-of-pre-pregnancy-obesity-on-gestational-diabetes-mellitus-a-birth-cohort-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187325.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2253</span> Prevalence of the Double Burden of Malnutrition in Women of Childbearing Age in Morocco: Coexistence of Iron Deficiency Anemia and Overweight</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fall%20Abdourahmane">Fall Abdourahmane</a>, <a href="https://publications.waset.org/abstracts/search?q=Lazrak%20Meryem"> Lazrak Meryem</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Hsaini%20Houda"> El Hsaini Houda</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Ammari%20Laila"> El Ammari Laila</a>, <a href="https://publications.waset.org/abstracts/search?q=Gamih%20Hasnae"> Gamih Hasnae</a>, <a href="https://publications.waset.org/abstracts/search?q=Yahyane%20Abdelhakim"> Yahyane Abdelhakim</a>, <a href="https://publications.waset.org/abstracts/search?q=Benjouad%20Abdelaziz"> Benjouad Abdelaziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Aguenaou%20Hassan"> Aguenaou Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Kari%20Khalid"> El Kari Khalid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: The double burden of malnutrition (DBM), characterized by the coexistence of undernutrition and overnutrition, is a significant health challenge, particularly in low- and middle-income countries. In Morocco, 61.3% of women of reproductive age (WRA) are overweight or obese, including 30.4% who were obese, while 34.4% were anaemic, and 49.7% have iron deficiency anaemia. Objective: This study aims to determine the prevalence of DBM at the individual level among Moroccan WRA, defined by the coexistence of iron deficiency anaemia and overweight/obesity. Methods: a cross-sectional national survey was conducted among a representative sample of 2090 Moroccan WRA. Data collected included socio-economic parameters, anthropometric measurements, and blood samples. Haemoglobin levels were measured photometrically using Hemocue, while ferritin and CRP were assessed through immunoturbudimetry. Results: The prevalence of overweight/obesity, iron deficiency, anaemia and iron deficiency anaemia among WRA in Morocco were 60.2%, 30.6%, 34.4% and 50.0% respectively. The coexistence of overweight/obesity with anaemia and iron deficiency was observed in 19.2% and 16.3% of women, respectively. Among overweight/obese women, 32.5% were anaemic, 28.4% were iron deficient, and 47.6% had iron deficiency anaemia. the prevalence of DBM was higher in urban areas compared to rural settings. Conclusion: The coexistence of undernutrition and overnutrition among WRA highlights the urgent need for integrated public health interventions addressing both anaemia and obesity simultaneously. Tailored strategies should consider the specific socio-economic and geographical contexts to effectively combat this dual burden. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20double%20burden%20of%20malnutrition" title="the double burden of malnutrition">the double burden of malnutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=iron%20deficiency%20anaemia" title=" iron deficiency anaemia"> iron deficiency anaemia</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/191962/prevalence-of-the-double-burden-of-malnutrition-in-women-of-childbearing-age-in-morocco-coexistence-of-iron-deficiency-anemia-and-overweight" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191962.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">33</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2252</span> Risk Factors Associated with Obesity Among Adults in Tshikota, Makhado Municipality, Limpopo Province, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ndou%20Rembuluwani%20Moddy">Ndou Rembuluwani Moddy</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Ter%20Goon"> Daniel Ter Goon</a>, <a href="https://publications.waset.org/abstracts/search?q=Takalani%20Grace%20Tshitangano"> Takalani Grace Tshitangano</a>, <a href="https://publications.waset.org/abstracts/search?q=Lindelani%20Fhumudzani%20Mushaphi"> Lindelani Fhumudzani Mushaphi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is a global public health problem. The study aimed to determine the risk factors associated with and the consequences of obesity among residents of Tshikota, Makhado Municipality, Limpopo Province, South Africa. A cross-sectional study involving 318 randomly selected adults aged 18-45 years residing at Tshikota, Makhado Local Municipality, South Africa. Sociodemographic information includes age, gender, educational level, occupation, behavioral lifestyle, environmental, psychological, and family history. Anthropometric, blood pressure, and blood glucose measurements followed standard procedure. The prevalence of obesity and overweight was 35.5% and 28.6%, respectively. About 75.2% of obese do not engage in physical activity. Most participants (63.5%) take meals three times a day, and 19.2% do not skip breakfast. Most participants do not have access to fruits and vegetables. Participants who were pre-hypertensive were 92(28.9%) and 32(10.1%) were in Stage 1 hypertension. Of the participants with Class 1 obesity, 40.9% were pre-hypertensive, and 15.2% were in Stage 1 hypertension. In Class 2 obesity, 37.8% were pre-hypertensive, and 26.7% were in Stage 1 hypertension. There was a significant difference between BMI and blood pressure among participants (p=0.00). About 6.1% of the participants in Class 1 obesity were at high risk, and 3.0% were at very high risk of glucose levels. Regarding cholesterol levels, 65 (20.4%) were at borderline, and 17(5.3%) were at high risk. There was no significant difference in BMI and cholesterol levels among participants (p= 0.20). The prevalence of obesity and overweight was high among residents of this setting. Age, marital and educational status, and employment were significantly associated with obesity. An obesity awareness campaign is crucial, and the availability of supermarkets and full-service grocery stores would provide accessibility to healthy food such as fruits and vegetables. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=adults." title=" adults."> adults.</a> </p> <a href="https://publications.waset.org/abstracts/158970/risk-factors-associated-with-obesity-among-adults-in-tshikota-makhado-municipality-limpopo-province-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158970.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">87</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2251</span> A Literature Review: The Anti-Obesity Effect of Epigallocathecin-3-Gallate of Camellia sinensis (Green Tea) Extraction as a Potential Adjuvant Therapy for Management Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nunuy%20Nuraeni">Nunuy Nuraeni</a>, <a href="https://publications.waset.org/abstracts/search?q=Vera%20Amalia%20Lestari"> Vera Amalia Lestari</a>, <a href="https://publications.waset.org/abstracts/search?q=Atri%20Laranova"> Atri Laranova</a>, <a href="https://publications.waset.org/abstracts/search?q=Viena%20Nissa%20Mien%20Fadhillah"> Viena Nissa Mien Fadhillah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mutia"> Mutia</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Ikhlas%20Abdian%20Putra"> Muhammad Ikhlas Abdian Putra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Obesity is a common disease with high prevalence especially in developing countries including Indonesia. The obesitygenic lifestyle such as excessive intake of food, sedentary lifestyle is the major environmental etiologies of obesity. Obesity is also as one of burden disease with high morbidity due to its complication, such as diabetes mellitus and hypertension. The objective of this literature review is to know how the Epigallocathecin-3-Gallate of Green tea or Camellia sinensis effect as anti-obesity agent and reduce the complication of obesity. Material and Methods: This study based on the secondary data analysis complemented by primary data collection from several journal and textbook. We identified the effect of Epigallocathecin-3-Gallate of Green tea or Camellia sinensis as adjuvant therapy for management obesity and to prevent the complications of obesity. Results: Based on the result, Green tea or Camellia sinensis contain Epigallocathecin-3-Gallate (EGCG) that has anti-obesity effect such as induce apoptosis, inhibit adipogenesis, increasing lipolytic activity, increasing fat oxidation and thermogenesis. Discussion: EGCG are naturally distributed in green tea, that contains a biological activity that has a potential effect to treat obesity. Conclusion: EGCG are capable to treat obesity. By consuming EGCG can prevent obesity in normal health person and prevent complication in patient with obesity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adjuvant%20therapy" title="adjuvant therapy">adjuvant therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=anti-obesity%20effect" title=" anti-obesity effect"> anti-obesity effect</a>, <a href="https://publications.waset.org/abstracts/search?q=complication" title=" complication"> complication</a>, <a href="https://publications.waset.org/abstracts/search?q=epigallocathecin-3-gallate" title=" epigallocathecin-3-gallate"> epigallocathecin-3-gallate</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/43524/a-literature-review-the-anti-obesity-effect-of-epigallocathecin-3-gallate-of-camellia-sinensis-green-tea-extraction-as-a-potential-adjuvant-therapy-for-management-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43524.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">279</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2250</span> The Endocrinology of Obesity and Dejenerative Joint Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kebret%20Kebede">Kebret Kebede</a>, <a href="https://publications.waset.org/abstracts/search?q=Anthony%20Scinta"> Anthony Scinta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is the most prevalent global problem that continues to rise at alarming rates both in the industrialized and developing countries. Adipose tissue is an endocrine tissue that secretes numerous chemical signals, hormones, lipids, cytokines and coagulation factors as well as prompting insulin resistance which is a primary contributor to Type II Diabetes- one of its most common adverse effects on health. Other hormones whose levels are linked to obesity and nutritional state are leptin, IGF-1, and adiponectin. Several studies indicate that obesity is the leading cause of high levels of cholesterol that leads to fatty liver disease, gallstones, hypertension, increased risk for cancer and degenerative joint disease that primarily affects the weight bearing joints of the lower extremities. The activation of inflammatory pathways promotes synovial pathology that results in accelerated degeneration of the joints. The study examines the prevalence of obesity in the US female population in comparison to that of the developing world and its emergence as a significant and potentially modifiable risk factor in degenerative disease of the hip and knee joints that has resulted in staggering healthcare cost. Studies have shown that as the prevalence of obesity rises, we continue to see a rise in degenerative joint disease. The percentage of arthritis cases linked directly to obesity has risen from 3 percent in 1971 to 18 percent in 2002. A person with obesity is around 60 percent more likely to develop arthritis than someone of normal body weight. In women, obesity is associated with increased mortality from breast, cervical, endometrial and ovarian cancer that may accompany debilitating joint diseases and restricted mobility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=endocrine" title=" endocrine"> endocrine</a>, <a href="https://publications.waset.org/abstracts/search?q=degenerative" title=" degenerative"> degenerative</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=joint%20diseases" title=" joint diseases"> joint diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=debilitating" title=" debilitating"> debilitating</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a> </p> <a href="https://publications.waset.org/abstracts/18469/the-endocrinology-of-obesity-and-dejenerative-joint-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">449</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2249</span> Association Between Disability and Obesity Status Among US Adults: Findings From 2019-2021 National Health Interview Survey (NHIS)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chimuanya%20Osuji">Chimuanya Osuji</a>, <a href="https://publications.waset.org/abstracts/search?q=Kido%20Uyamasi"> Kido Uyamasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Morgan%20Bradley"> Morgan Bradley</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Obesity is a major risk factor for many chronic diseases, with higher rates occurring among certain populations. Even though disparities in obesity rates exist for those with disabilities, few studies have assessed the association between disability and obesity status. This study aims to examine the association between type of disability and obesity status among US adults during the Covid-19 pandemic (2019-2021). Methods: Data for this cross-sectional study was obtained from the 2019, 2020 and 2021 NHIS. Multinomial logistic regressions were used to assess the relationship between each type of disability and obesity status (reference= normal/underweight). Each model adjusted for demographic, health status and health-related quality of life variables. Statistical analyses were conducted using SAS version 9.4. Results: Of the 82,632 US adults who completed the NHIS in 2019, 2020, and 2021. 8.9% (n= 7,354) reported at least 1 disability-related condition. Respondents reported having a disability across vision (1.5%), hearing (1.5%), mobility (5.3%), communication (0.8%), cognition (2.4%) and self-care (1.1%) domains. After adjusting for covariates, adults with at least 1 disability-related condition were about 30% more likely to have moderate-severe obesity (AOR=1.3; 95% CI=1.11, 1.53). Mobility was the only disability category positively associated with mild obesity (AOR=1.16; 95% CI=1.01, 1.35) and moderate/severe obesity (AOR=1.6; 95% CI=1.35, 1.89). Individuals with vision disability were about 35% less likely to have mild obesity (AOR=0.66; 95% CI=0.51, 0.86) and moderate-severe obesity (AOR=0.66; 95% CI= 0.48, 0.9). Individuals with hearing disability were 28% less likely to have mild obesity (AOR=0.72; 95% CI= 0.56, 0.94). Individuals with communication disability were about 30% less likely to be overweight (AOR=0.66; 95% CI=0.47, 0.93) and 50% less likely to have mild obesity (AOR=0.45; 95% CI= 0.29, 0.71). Individuals with cognitive disability were about 25% less likely to have mild obesity and about 35% less likely to have moderate-severe obesity. Individuals with self-care disability were about 30% less likely to be overweight. Conclusion: Mobility-related disabilities are significantly associated with obesity status among adults residing in the United States. Researchers and policy makers should implement obesity intervention methods that can address the gap in obesity prevalence rates among those with and without disabilities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognition" title="cognition">cognition</a>, <a href="https://publications.waset.org/abstracts/search?q=disability" title=" disability"> disability</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/174015/association-between-disability-and-obesity-status-among-us-adults-findings-from-2019-2021-national-health-interview-survey-nhis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174015.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">70</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2248</span> The Prevalence of Obesity among a Huge Sample of 5-20 Years Old Jordanian Children and Adolescents Based on CDC Criteria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Walid%20Al-Qerem">Walid Al-Qerem</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruba%20Zumot"> Ruba Zumot</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The rise of obesity among children and adolescents remains a primary challenge for healthcare providers globally and in the Middle East. The aim of the present study is to determine the prevalence of obesity among 5-20 years old Jordanians based on CDC criteria. Method: A total of 5722 Jordanians (37% males; 63% females) aged 5-20 years data were retrieved from the Jordanian Ministry of Health electronic database (Hakeem). As per the CDC selection criteria, the chosen data pertains exclusively to healthy Jordanian children and adolescents who are medically sound, not suffering from health conditions, and not undergoing any treatments that could hinder normal growth patterns, such as severe infection, chronic kidney disease (CKD), Down’s syndrome, attention deficit hyperactivity disorder, cancer, heart disease, lung disease, cystic fibrosis, Crohn’s disease, type 1 diabetes, hormonal disturbances, any stress-related conditions, hormonal therapy such as corticosteroids, Growth hormones (GHS) or gonadotropin-releasing hormone agonists, insulin, and amphetamines or any other stimulants. In addition, participants with missing or invalid data values for anthropometric measurements were excluded from the study. Weight for age and body mass index for age were analyzed comparatively for Jordanian children and adolescents against the international growth standards. The Z-score for each record was computed based on CDC equations. As per CDC classifications, BMI for age percentiles, values ≥85th and < 95th are classified as overweight, and value at ≥ 95th is classified as obesity. Results: The average age of the evaluated sample was 12.33 ±4.39 years (10.79 ±3.39 for males and 13.23 ± 4.66 for females). The mean weight for males and females were 33.16±14.17 Kg and 133.54±17.17 cm for males, 43.86 ±18.82 Kg, and 142.19±18.35 for females, while for BMI the mean was for boys and girls 17.81±3.88 and 20.52±5.03 respectively. The results indicated that based on CDC criteria, 8.9% of males were classified as children/adolescents with overweight, and 9.7% were classified as children/adolescents with obesity, while in females, 17.8% were classified as children/adolescents with overweight and 10.2% were classified as children/adolescents with obesity. Discussion: The high prevalence of obesity reported in the present study emphasizes the importance of applying different strategies to prevent childhood obesity, including encouraging physical activity, promoting healthier food options, and behavioral changes. Conclusion: The results presented in this study indicated the high prevalence of overweight/obesity among Jordanian adolescents and children, which must be tagged by healthcare planners and providers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CDC" title="CDC">CDC</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=childhood" title=" childhood"> childhood</a>, <a href="https://publications.waset.org/abstracts/search?q=Jordan" title=" Jordan"> Jordan</a> </p> <a href="https://publications.waset.org/abstracts/180559/the-prevalence-of-obesity-among-a-huge-sample-of-5-20-years-old-jordanian-children-and-adolescents-based-on-cdc-criteria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/180559.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">57</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2247</span> A Review of Type 2 Diabetes and Diabetes-Related Cardiovascular Disease in Zambia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mwenya%20Mubanga">Mwenya Mubanga</a>, <a href="https://publications.waset.org/abstracts/search?q=Sula%20Mazimba"> Sula Mazimba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: In Zambia, much of the focus on nutrition and health has been on reducing micronutrient deficiencies, wasting and underweight malnutrition and not on the rising global projections of trends in obesity and type 2 diabetes. The aim of this review was to identify and collate studies on the prevalence of obesity, diabetes and diabetes-related cardiovascular disease conducted in Zambia, to summarize their findings and to identify areas that need further research. Methods: The Medical Literature Analysis and Retrieval System (MEDLINE) database was searched for peer-reviewed articles on the prevalence of, and factors associated with obesity, type 2 diabetes, and diabetes-related cardiovascular disease amongst Zambian residents using a combination of search terms. The period of search was from 1 January 2000 to 31 December 2016. We expanded the search terms to include all possible synonyms and spellings obtained in the search strategy. Additionally, we performed a manual search for other articles and references of peer-reviewed articles. Results: In Zambia, the current prevalence of Obesity and Type 2 diabetes is estimated at 13%-16% and 2.0 – 3.0% respectively. Risk factors such as the adoption of western dietary habits, the social stigmatization associated with rapid weight loss due to Tuberculosis and/ or the human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) and rapid urbanization have all been blamed for fueling the increased risk of obesity and type 2 diabetes. However, unlike traditional Western populations, those with no formal education were less likely to be obese than those who attained secondary or tertiary level education. Approximately 30% of those surveyed were unaware of their diabetes diagnosis and more than 60% were not on treatment despite a known diabetic status. Socio-demographic factors such as older age, female sex, urban dwelling, lack of tobacco use and marital status were associated with an increased risk of obesity, impaired glucose tolerance and type 2 diabetes. We were unable to identify studies that specifically looked at diabetes-related cardiovascular disease. Conclusion: Although the prevalence of Obesity and Type 2 diabetes in Zambia appears low, more representative studies focusing on parts of the country outside of the main industrial zone need to be conducted. There also needs to be research on diabetes-related cardiovascular disease. National surveillance, monitoring and evaluation on all non-communicable diseases need to be prioritized and policies that address underweight, obesity and type 2 diabetes developed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=type%202%20diabetes" title="type 2 diabetes">type 2 diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=Zambia" title=" Zambia"> Zambia</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a> </p> <a href="https://publications.waset.org/abstracts/74781/a-review-of-type-2-diabetes-and-diabetes-related-cardiovascular-disease-in-zambia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74781.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">252</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2246</span> Association of Overweight and Obesity with Breast Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Ghasemlouei">Amir Ghasemlouei</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Khalaj"> Alireza Khalaj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In women, cancer of the breast is one of the most common incident cancer and cause of death from cancer .we reviewed the prevalence of obesity and its association with breast cancer. In this study, a total of 25 articles regarding the subject matter of the article have been presented in which 640 patients were examined that 320 patients with breast cancer and 320 were controls. The distribution of breast cancer patients and controls with respect to their anthropometric indices in patients with higher weight, which was statistically significant (60.2 ± 10.2 kg) compared with control group (56.1 ± 11.3 kg). The body mass index of patients was (26.06+/-3.42) and significantly higher than the control group (24.1+/-1.7). Obesity leads to increased levels of adipose tissue in the body that can be stored toxins and carcinogens to produce a continuous supply. Due to the high level of fat and the role of estrogen in a woman is endogenous estrogen of the tumor and regulate the activities of growth steroids, obesity is a risk factor for breast cancer is confirmed. Our study and other studies show that obesity is a risk factor for breast cancer. And with a weight loss intervention for breast cancer can be prevented in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=review%20study" title=" review study"> review study</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a> </p> <a href="https://publications.waset.org/abstracts/16945/association-of-overweight-and-obesity-with-breast-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16945.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">453</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2245</span> Obese and Overweight Women and Public Health Issues in Hillah City, Iraq</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amean%20A.%20Yasir">Amean A. Yasir</a>, <a href="https://publications.waset.org/abstracts/search?q=Zainab%20Kh.%20A.%20Al-Mahdi%20Al-Amean"> Zainab Kh. A. Al-Mahdi Al-Amean</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In both developed and developing countries, obesity among women is increasing, but in different patterns and at very different speeds. It may have a negative effect on health, leading to reduced life expectancy and/or increased health problems. This research studied the age distribution among obese women, the types of overweight and obesity, and the extent of the problem of overweight/obesity and the obesity etiological factors among women in Hillah city in central Iraq. A total of 322 overweight and obese women were included in the study, those women were randomly selected. The Body Mass Index was used as indicator for overweight/ obesity. The incidence of overweight/obesity among age groups were estimated, the etiology factors included genetic, environmental, genetic/environmental and endocrine disease. The overweight and obese women were screened for incidence of infection and/or diseases. The study found that the prevalence of 322 overweight and obese women in Hillah city in central Iraq was 19.25% and 80.78%, respectively. The obese women types were recorded based on BMI and WHO classification as class-1 obesity (29.81%), class-2 obesity (24.22%) and class-3 obesity (26.70%), the result was discrepancy non-significant, P value < 0.05. The incidence of overweight in women was high among those aged 20-29 years (90.32%), 6.45% aged 30-39 years old and 3.22% among ≥ 60 years old, while the incidence of obesity was 20.38% for those in the age group 20-29 years, 17.30% were 30-39 years, 23.84% were 40-49 years, 16.92% were 50-59 years group and 21.53% were ≥ 60 years age group. These results confirm that the age can be considered as a significant factor for obesity types (P value < 0.0001). The result also showed that the both genetic factors and environmental factors were responsible for incidents of overweight or obesity (84.78%) p value < 0.0001. The results also recorded cases of different repeated infections (skin infection, recurrent UTI and influenza), cancer, gallstones, high blood pressure, type 2 diabetes, and infertility. Weight stigma and bias generally refers to negative attitudes; Obesity can affect quality of life, and the results of this study recorded depression among overweight or obese women. This can lead to sexual problems, shame and guilt, social isolation and reduced work performance. Overweight and Obesity are real problems among women of all age groups and is associated with the risk of diseases and infection and negatively affects quality of life. This result warrants further studies into the prevalence of obesity among women in Hillah City in central Iraq and the immune response of obese women. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=Iraq" title=" Iraq"> Iraq</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title=" body mass index"> body mass index</a> </p> <a href="https://publications.waset.org/abstracts/36582/obese-and-overweight-women-and-public-health-issues-in-hillah-city-iraq" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36582.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2244</span> Patterns of Self-Reported Overweight, Obesity, and Other Chronic Diseases Among University Students in the United Arab Emirates: A Cross-Sectional Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maryam%20M.%20Bashir">Maryam M. Bashir</a>, <a href="https://publications.waset.org/abstracts/search?q=Luai%20A.%20Ahmed"> Luai A. Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Meera%20R.%20Alshamsi"> Meera R. Alshamsi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Almahrooqi"> Sara Almahrooqi</a>, <a href="https://publications.waset.org/abstracts/search?q=Taif%20Alyammahi"> Taif Alyammahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shooq%20A.%20Alshehhi"> Shooq A. Alshehhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Waad%20I.%20Alhammadi"> Waad I. Alhammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatima%20H.%20Alhammadi"> Fatima H. Alhammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hind%20A.%20Alhosani"> Hind A. Alhosani</a>, <a href="https://publications.waset.org/abstracts/search?q=Rami%20H.%20Al-Rifai"> Rami H. Al-Rifai</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatma%20Al-Maskari"> Fatma Al-Maskari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity in the Middle East and North Africa (MENA) region has exponentially increased over the past five decades due to rapid urbanization and unhealthy lifestyle changes. It has been well established that overweight and obesity increase the risk of non-communicable diseases (NCDs) and are the leading cause of mortality and economic burden locally, and globally. In the United Arab Emirates (UAE), there is a growing epidemic of obesity and other chronic diseases like type 2 diabetes mellitus and cardiovascular diseases. Prevalence of overweight and obesity in UAE range up to 70% depending on the group being studied. Hence, there is a need to explore their patterns in the country for more targeted and responsive interventions. Our study aimed to explore the patterns of overweight and obesity and some self-reported chronic diseases among university students in Abu Dhabi, the capital city of UAE. A validated online self-administered questionnaire was used to collect data from UAE University (UAEU) students, 18years and above, from August to September 2021. Students’ characteristics were summarized using appropriate descriptive statistics. Overweight, obesity and self-reported chronic diseases were described and compared between male and female students using chi-square and t tests. Other associated factors were also explored in relation to overweight and obesity. All analyses were conducted using STATA statistical software version 16.1 (StataCorp LLC, College Station, TX, USA). 902 students participated in the study. 79.8% were females and mean age was 21.90 ± 5.19 years. Majority of the respondents were undergraduate students (80.71%). The prevalence of self-reported chronic diseases was 22.95%. Obesity (BMI≥30kg/m2), Diabetes Mellitus, and Asthma/Allergies were the commonest diseases (12.48%, 4.21% & 3.22%, respectively). Approximately 5% of the students reported more than one chronic disease. Out of the 833 participating students who had complete weight and height data, prevalence of overweight and obesity was 34.81% (22.33% and 12.48%, respectively). More than half of the male students (54.36%) were overweight or obese. This is significantly higher than in female students (30.56%, p=0.001). Overweight/obesity when compared to normal weight is associated with increasing mean age [23.40 vs 21.01, respectively (p=0.001)]. In addition to gender and age, being married [57.63% vs 31.05% (p=0.001)], being a postgraduate student [51.59% vs 30.92% (p=0.001)] and having two or more chronic diseases [65.85% vs 33.21% (p=0.001)] were also significantly associated with overweight/obesity. Our study showed that almost a quarter of the participating university students reported at least one chronic disease. Obesity was the commonest and more than 1 in 3 students were either overweight or obese. This shows the need for intensive health promotion and screening programs on obesity and other chronic diseases to meet the health needs of these students. This study is also a basis for further research, especially qualitative, to explore the relevant risk factors and risk groups for more targeted interventions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20disease" title="chronic disease">chronic disease</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=students" title=" students"> students</a>, <a href="https://publications.waset.org/abstracts/search?q=United%20Arab%20Emirates" title=" United Arab Emirates"> United Arab Emirates</a> </p> <a href="https://publications.waset.org/abstracts/148426/patterns-of-self-reported-overweight-obesity-and-other-chronic-diseases-among-university-students-in-the-united-arab-emirates-a-cross-sectional-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148426.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">122</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2243</span> Low Density Lipoprotein: The Culprit in the Development of Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ojiegbe%20Ikenna%20Nathan">Ojiegbe Ikenna Nathan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is a medical condition in which excess body fat has accumulated to the extent that it leads to reduced life expectancy and or increased health problems. Obesity as a worldwide problem is seen clustered in the families and it moves from generation to generation. It causes some disabilities, mortality and morbidity if left unattended to. The predisposing factors to obesity are either genetic or environment in origin. Nevertheless, the main predisposing factor to obesity is the excessive consumption of food rich in low-density lipoprotein (LDL) such as organ meats, saturated fats etc. This low-density lipoprotein causes an increase in adipose tissue and complicates to obesity. There are varieties of obesity which one needs to take appropriate measures to avoid; such as android, gynoid and morbid obesity. Nonetheless, studies have shown that there is hope for the obese individuals, despite the cause, type and degree of their obesity. This is through the use of the different available treatment measures which increase in physical activities, caloric restrictions, drug therapy and surgical intervention. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low-density" title="low-density">low-density</a>, <a href="https://publications.waset.org/abstracts/search?q=lipoprotein" title=" lipoprotein"> lipoprotein</a>, <a href="https://publications.waset.org/abstracts/search?q=culprit" title=" culprit"> culprit</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity "> obesity </a> </p> <a href="https://publications.waset.org/abstracts/23090/low-density-lipoprotein-the-culprit-in-the-development-of-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23090.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2242</span> Prevalence and Risk Factors Associated with Nutrition Related Non-Communicable Diseases in a Cohort of Males in the Central Province of Sri Lanka</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20W.%20I.%20A.%20Jayawardana">N. W. I. A. Jayawardana</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20A.%20T.%20A.%20Jayalath"> W. A. T. A. Jayalath</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20M.%20T.%20Madhujith"> W. M. T. Madhujith</a>, <a href="https://publications.waset.org/abstracts/search?q=U.%20Ralapanawa"> U. Ralapanawa</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20S.%20Jayasekera"> R. S. Jayasekera</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20S.%20B.%20Alagiyawanna"> S. A. S. B. Alagiyawanna</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20M.%20K.%20R.%20Bandara"> A. M. K. R. Bandara</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20S.%20Kalupahana"> N. S. Kalupahana </a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is mounting evidence to the effect that dietary and lifestyle changes affect the incidence of non-communicable diseases (NCDs). This study was conducted to investigate the association of diet, physical activity, smoking, alcohol consumption and duration of sleep with overweight, obesity, hypertension and diabetes in a cohort of males from the Central Province of Sri Lanka. A total of 2694 individuals aged between 17 – 68 years (Mean = 31) were included in the study. Body Mass Index cutoff values for Asians were used to categorize the participants as normal, overweight and obese. The dietary data were collected using a food frequency questionnaire [FFQ] and data on the level of physical activity, smoking, alcohol consumption and sleeping hours were obtained using a self-administered validated questionnaire. Systolic and diastolic blood pressure, random blood glucose levels were measured to determine the incidence of hypertension and diabetes. Among the individuals, the prevalence of overweight and obesity were 34% and 16.4% respectively. Approximately 37% of the participants suffered from hypertension. Overweight and obesity were associated with older age men (P<0.0001), frequency of smoking (P=0.0434), alcohol consumption level (P=0.0287) and the quantity of lipid intake (P=0.0081). Consumption of fish (P=0.6983) and salty snacks (P=0.8327), sleeping hours (P=0.6847) and the level of physical activity were not significantly (P=0.3301) associated with the incidence of overweight and obesity. Based on the fitted model, only age was significantly associated with hypertension (P < 0.001). Further, age (P < 0.0001), sleeping hours (P=0.0953) and consumption of fatty foods (P=0.0930) were significantly associated with diabetes. Age was associated with higher odds of pre diabetes (OR:1.089;95% CI:1.053,1.127) and diabetes (OR:1.077;95% CI:1.055,1.1) whereas 7-8 hrs. of sleep per day was associated with lesser odds of diabetes (OR:0.403;95% CI:0.184,0.884). High prevalence of overweight, obesity and hypertension in working-age males is a threatening sign for this area. As this population ages in the future and urbanization continues, the prevalence of above risk factors will likely to escalate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=age" title="age">age</a>, <a href="https://publications.waset.org/abstracts/search?q=males" title=" males"> males</a>, <a href="https://publications.waset.org/abstracts/search?q=non-communicable%20diseases" title=" non-communicable diseases"> non-communicable diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/35629/prevalence-and-risk-factors-associated-with-nutrition-related-non-communicable-diseases-in-a-cohort-of-males-in-the-central-province-of-sri-lanka" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35629.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">337</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2241</span> Self-Esteem and Emotional Intelligence’s Association to Nutritional Status in Adolescent Schoolchildren in Chile</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peter%20Mc%20Coll">Peter Mc Coll</a>, <a href="https://publications.waset.org/abstracts/search?q=Alberto%20Caro"> Alberto Caro</a>, <a href="https://publications.waset.org/abstracts/search?q=Chiara%20Gandolfo"> Chiara Gandolfo</a>, <a href="https://publications.waset.org/abstracts/search?q=Montserrat%20Labbe"> Montserrat Labbe</a>, <a href="https://publications.waset.org/abstracts/search?q=Francisca%20Schnaidt"> Francisca Schnaidt</a>, <a href="https://publications.waset.org/abstracts/search?q=Michela%20Palazzi"> Michela Palazzi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Self-esteem and emotional intelligence are variables that are related to people's nutritional status. Self-esteem may be at low levels in people living with obesity, while emotional intelligence can play an important role in the way people living with obesity cope. The objective of the study was to measure the association between self-esteem and emotional intelligence to nutritional status in adolescent population. Methodology: A cross-sectional study was carried out with 179 adolescent schoolchildren between 13 and 19 years old from a public school. The objective was to evaluate nutritional status; weight and height were measured by calculating the body mass index and Z score. Self-esteem was evaluated using the Coopersmith Self-esteem Inventory adapted by Brinkmann and Segure. Emotional intelligence was measured using the Emotional Quotient Inventory: short, by Bar On, adapted questionnaire, translated into Spanish by López Zafra. For statistical analysis: Pearson's Chi-square test, Pearson's correlation, and odd ratio calculation were used, with a p value at a significance level < 5%. Results: The study group was composed of 71% female and 29% male. The nutritional status was distributed as eutrophic 41.9%, overweight 20.1%, and obesity 21.1%. In relation to self-esteem, 44.1% presented low and very low levels, without differences by gender. Emotional intelligence was distributed: low 3.4%, medium 81%, and high 13.4% -no differences according to gender. The association between nutritional status (overweight and obesity) with low and very low self-esteem, an odds ratio of 2.5 (95% CI 1.12 – 5.59) was obtained with a p-value = 0.02. The correlation analysis between the intrapersonal sub-dimension emotional intelligence scores and the Z score of nutritional status presented a negative correlation of r = - 0.209 with a p-value < 0.005. The correlation between emotional intelligence subdimension stress management with Z score presented a positive correlation of r = 0.0161 with a p-value < 0.05. In conclusion, the group of adolescents studied had a high prevalence of overweight and obesity, a high prevalence of low self-esteem, and a high prevalence of average emotional intelligence. Overweight and obese adolescents were 2.5 times more likely to have low self-esteem. As overweight and obesity increase, self-esteem decreases, and the ability to manage stress increases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=self-esteem" title="self-esteem">self-esteem</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20intelligence" title=" emotional intelligence"> emotional intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescent" title=" adolescent"> adolescent</a>, <a href="https://publications.waset.org/abstracts/search?q=nutritional%20status" title=" nutritional status"> nutritional status</a> </p> <a href="https://publications.waset.org/abstracts/183439/self-esteem-and-emotional-intelligences-association-to-nutritional-status-in-adolescent-schoolchildren-in-chile" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183439.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">59</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2240</span> Assessing the Double Burden of Malnutrition in Moroccan Women: A Focus on Iron Deficiency and Weight Disorders</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fall%20Abdourahmane">Fall Abdourahmane</a>, <a href="https://publications.waset.org/abstracts/search?q=Lazrak%20Meryem"> Lazrak Meryem</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Hsaini%20Houda"> El Hsaini Houda</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Ammari%20Laila"> El Ammari Laila</a>, <a href="https://publications.waset.org/abstracts/search?q=Gamih%20Hasnae"> Gamih Hasnae</a>, <a href="https://publications.waset.org/abstracts/search?q=Yahyane%20Abdelhakim"> Yahyane Abdelhakim</a>, <a href="https://publications.waset.org/abstracts/search?q=Benjouad%20Abdelaziz"> Benjouad Abdelaziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Aguenaou%20Hassan"> Aguenaou Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=El%20Kari%20Khalid"> El Kari Khalid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: The double burden of malnutrition (DBM), defined by the concurrent occurrence of undernutrition and overnutrition, represents a critical public health issue, particularly in low- and middle-income countries. In Morocco, 61.3% of women of reproductive age (WRA) are classified as overweight or obese, with 30.4% meeting the criteria for obesity. Furthermore, 34.4% of WRA are affected by anaemia, and 49.7% present with iron deficiency anaemia. Objective: The objective of this study is to assess the individual-level prevalence of the double burden of malnutrition (DBM) among Moroccan WRA, focusing on the simultaneous presence of iron deficiency anaemia and overweight/obesity. Methods: A national cross-sectional survey was carried out on a representative sample of 2090 Moroccan WRA. The data collected encompassed blood samples, anthropometric measurements and socio-economic factors. Haemoglobin levels were assessed using a Hemocue device, while ferritin and CRP levels were determined through immunoturbidimetric analysis. Results: The prevalence of overweight/obesity among WRA in Morocco was 60.2%, iron deficiency affected 30.6%, anaemia was found in 34.4%, and 50.0% had iron deficiency anaemia. The coexistence of overweight/obesity with anaemia was observed in 19.2% and with iron deficiency in 16.3%. Among overweight/obese women, 32.5% were anaemic, 28.4% had iron deficiency, and 47.6% had iron deficiency anaemia. The prevalence of DBM was higher in urban areas compared to rural settings. Conclusion: The DBM among women of WRA showed an emergent reality of the interconnection and the coexistence at individual level of the undernutrition and the overnutrition. Therefore, effective and dual actions that could simultaneously address the double dimension of the DBM have to be implemented for the policy solutions to be successful. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=the%20double%20burden%20of%20malnutrition" title="the double burden of malnutrition">the double burden of malnutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=iron%20deficiency%20anemia" title=" iron deficiency anemia"> iron deficiency anemia</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/192091/assessing-the-double-burden-of-malnutrition-in-moroccan-women-a-focus-on-iron-deficiency-and-weight-disorders" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192091.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">20</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence&page=5">5</a></li> <li class="page-item"><a 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