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circumference</title> <meta name="description" content="Search results for: child waist circumference"> <meta name="keywords" content="child waist circumference"> <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 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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="child waist circumference"> <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> 1777</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: child waist circumference</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1777</span> The Effects of the Parent Training Program for Obesity Reduction on Child Waist Circumference and Health Behaviors of Pre-School Children at the Samut-Songkhram Kindergarten School, Samut-Songkhram Province, Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muntanavadee%20Maytapattana">Muntanavadee Maytapattana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aims to study the effects of the Parent Training Program for Obesity Reduction (PTPOR) on child waist circumference and health behaviors of pre-school children at the Samut-Songkhram kindergarten school, Samut-Songkhram province, Thailand. The objective of this research is to evaluate the effectiveness of the PTPOR on child waist circumference and health behaviors of the pre-school children. The conceptual framework of this study is developed on the basis of the Ecological Systems Theory (EST), not only do the individual factors such as child characteristics and child risk factors contribute to the child’s weight status, but also other factors such as parenting style and family characteristics, as well as community and demographic factors. This research is a quasi-experimental study. Participants were pre-school overweight and obese children and their parents. Forty-one parent-child dyads were recruited into the program. Parents participated in two sessions including an educational session and a group discussion session. Research methodology uses Paired-Samples t-test to determine the difference between groups in the mean scores of the outcome variables of the children and parents. The research results show that there was significant difference between child waist circumferences mean score at the baseline and finishing the program at the 0.01 level (p = 0.001), mean score of the child waist circumference was decrease after finishing the program. And there was no significant difference between child exercise health behaviors mean score at the baseline and finishing the program at the 0.05 level; however, mean score of the child exercise behavior was increase after finishing the program. Meanwhile, there was significant difference between child dietary health behavior mean score at the baseline and finishing the program at the 0.01 level (p = 0.001), mean score of the child dietary was increase after finishing the program. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=PTPOR" title="PTPOR">PTPOR</a>, <a href="https://publications.waset.org/abstracts/search?q=child%20waist%20circumference" title=" child waist circumference"> child waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=child%20health%20behaviors" title=" child health behaviors"> child health behaviors</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-school%20children" title=" pre-school children"> pre-school children</a> </p> <a href="https://publications.waset.org/abstracts/15675/the-effects-of-the-parent-training-program-for-obesity-reduction-on-child-waist-circumference-and-health-behaviors-of-pre-school-children-at-the-samut-songkhram-kindergarten-school-samut-songkhram-province-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15675.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">570</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">1776</span> Effect of Inulin-Substituted Ice Cream on Waist Circumference and Blood Pressure of Adolescents with Abdominal Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nur%20H.%20Ahmad">Nur H. Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=Silvia%20S.%20Inge"> Silvia S. Inge</a>, <a href="https://publications.waset.org/abstracts/search?q=Vanessa%20A.%20Julliete"> Vanessa A. Julliete</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Veraditias"> A. Veraditias</a>, <a href="https://publications.waset.org/abstracts/search?q=Laila%20F.%20Febinda"> Laila F. Febinda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Abdominal obesity is a risk factor for metabolic syndrome and mostly found in adolescents. Waist circumference is related to abdominal obesity which has a significant effect on the increase of blood pressure. Inulin is one of prebiotic, that has health benefits by offering the potential for lipid management, that can be useful to decrease the risk factor of metabolic syndrome. The aim of the research is to evaluate the effect of 10 gram inulin-substituted ice cream in waist circumference and blood pressure of abdominal obesity adolescents. Inulin had the ability to produce Short Chain Fatty Acid which can improve blood pressure and waist circumference. Systolic blood pressure was significantly decreased in the treatment group (p=0.028) with the mean of reduction 7.35 ± 11.59 mmHg. However, diastolic blood pressure and waist circumference showed no significant effect. Waist circumference, systolic blood pressure and diastolic blood pressure was decreased in control group. These results suggest that inulin-substituted ice cream used as therapeutics and prevention for the early onset of metabolic syndrome. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title="blood pressure">blood pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=inulin" title=" inulin"> inulin</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/66625/effect-of-inulin-substituted-ice-cream-on-waist-circumference-and-blood-pressure-of-adolescents-with-abdominal-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66625.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">410</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">1775</span> The Result of Suggestion for Low Energy Diet (1,000-1,200 kcal) in Obese Women to the Effect on Body Weight, Waist Circumference, and BMI</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Kumchoo">S. Kumchoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The result of suggestion for low energy diet (1,000-1,200 kcal) in obese women to the effect on body weight, waist circumference and body mass index (BMI) in this experiment. Quisi experimental research was used for this study and it is a One-group pretest-posttest designs measurement method. The aim of this study was body weight, waist circumference and body mass index (BMI) reduction by using low energy diet (1,000-1,200 kcal) in obese women, the result found that in 15 of obese women that contained their body mass index (BMI) ≥ 30, after they obtained low energy diet (1,000-1,200 kcal) within 2 weeks. The data were collected before and after of testing the results showed that the average of body weight decrease 3.4 kilogram, waist circumference value decrease 6.1 centimeter and the body mass index (BMI) decrease 1.3 kg.m<sup>2</sup> from their previous body weight, waist circumference and body mass index (BMI) before experiment started. After this study, the volunteers got healthy and they can choose or select some food for themselves. For this study, the research can be improved for data development for forward study in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20weight" title="body weight">body weight</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20energy%20diet" title=" low energy diet"> low energy diet</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI "> BMI </a> </p> <a href="https://publications.waset.org/abstracts/16782/the-result-of-suggestion-for-low-energy-diet-1000-1200-kcal-in-obese-women-to-the-effect-on-body-weight-waist-circumference-and-bmi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16782.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">388</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">1774</span> The Result of Suggestion for Low Energy Diet (1,000 kcal-1,200 kcal) in Obese Women to the effect on Body Weight, Waist Circumference, and BMI</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Kumchoo">S. Kumchoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The result of suggestion for low energy diet (1,000-1,200 kcal) in obese women to the effect on body weight, waist circumference and body mass index (BMI) in this experiment. Quisi experimental research was used for this study and it is a One-group pretest-posttest designs measurement method. The aim of this study was body weight, waist circumference and body mass index (BMI) reduction by using low energy diet (1,000-1,200 kcal) in obese women, the result found that in 15 of obese women that contained their body mass index (BMI) ≥ 30, after they obtained low energy diet (1,000-1,200 kcal) within 2 weeks. The data were collected before and after of testing the results showed that the average of body weight decrease 3.4 kilogram, waist circumference value decrease 6.1 centimeter and the body mass index (BMI) decrease 1.3 kg.m2 from their previous body weight, waist circumference and body mass index (BMI) before experiment started. After this study, the volunteers got healthy and they can choose or select some food for themselves. For this study, the research can be improved for data development for forward study in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20weight" title="body weight">body weight</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=low%20energy%20diet" title=" low energy diet"> low energy diet</a> </p> <a href="https://publications.waset.org/abstracts/19658/the-result-of-suggestion-for-low-energy-diet-1000-kcal-1200-kcal-in-obese-women-to-the-effect-on-body-weight-waist-circumference-and-bmi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19658.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">456</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">1773</span> An Evaluation of the Relationship between the Anthropometric Measurements and Blood Lipid Profiles in Adolescents </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nalan%20Hakime%20Nogay">Nalan Hakime Nogay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Childhood obesity is a significant health issue that is currently on the rise all over the world. In recent years, the relationship between childhood obesity and cardiovascular disease risk has been pointed out. The purpose of this study is to evaluate the relationship between some of the anthropometric indicators and blood lipid levels in adolescents. The present study has been conducted on a total of 252 adolescents -200 girls and 52 boys- within an age group of 12 to 18 years. Blood was drawn from each participant in the morning -after having fasted for 10 hours from the day before- to analyze their total cholesterol, HDL, LDL and triglyceride levels. Their body weight, height, waist circumference, subscapular skinfold thicknesses and triceps skinfold thicknesses measurements were taken and their individual waist/height ratios, BMI and body fat ratios were calculated. The blood lipid levels of the participants were categorized as acceptable, borderline and high in accordance with the 2011 Expert Panel Integrated Guidelines. The body fat ratios, total blood cholesterol and HDL levels of the girls were significantly higher than the boys whereas their waist circumference values were lower. The triglyceride levels, total cholesterol/HDL, LDL/HDL, triglyceride/HDL ratios of the group with the BMI ≥ 95 percentile ratio (the obese group) were higher than the groups that were considered to be overweight and normal weight as per their respective BMI values, while the HDL level of the obese group was lower; a fact that was found to be statistically significant. No significant relationship could be established, however, between the total blood cholesterol and LDL levels with their anthropometric measurements. The BMI, waist circumference, waist/height ratio, body fat ratio and triglyceride level of the group with the higher triglyceride level ( ≥ 130mg/dl) were found to be significantly higher compared to borderline (90-129 mg/dl) and the normal group (< 90 mg/dl). The BMI, waist circumference, waist/height ratio values of the group with the lower HDL level ( < 40 mg/dl) were significantly higher than the normal ( > 45 mg/dl) and borderline (40-45 mg/dl) groups. All of the anthropometric measurements of the group with the higher triglyceride/HDL ratio ( ≥ 3) were found to be significantly higher than that of the group with the lower ratio (< 3). Having a high BMI, waist/height ratio and waist circumference is related to low HDL and high blood triglyceride and triglyceride/HDL ratio. A high body fat ratio, on the other hand, is associated with a low HDL and high triglyceride/HDL ratio. Tackling childhood and adolescent obesity are important in terms of preventing cardiovascular diseases. <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=body%20fat" title=" body fat"> body fat</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=lipid%20profile" title=" lipid profile"> lipid profile</a> </p> <a href="https://publications.waset.org/abstracts/62821/an-evaluation-of-the-relationship-between-the-anthropometric-measurements-and-blood-lipid-profiles-in-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62821.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">263</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">1772</span> Correlation between Neck Circumference and Other Anthropometric Indices as a Predictor of Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Madhur%20Verma">Madhur Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=Meena%20Rajput"> Meena Rajput</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamal%20Kishore"> Kamal Kishore</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The general view that obesity is a problem of prosperous Western countries has been repealed with substantial evidence showing that middle-income countries like India are now at the heart of a fat explosion. Neck circumference has evolved as a promising index to measure obesity, because of the convenience of its use, even in culture sensitive population. Objectives: To determine whether neck circumference (NC) was associated with overweight and obesity and contributed to the prediction like other classical anthropometric indices. Methodology: Cross-sectional study consisting of 1080 adults (> 19 years) selected through Multi-stage random sampling between August 2013 and September 2014 using the pretested semi-structured questionnaire. After recruitment, the demographic and anthropometric parameters [BMI, Waist & Hip Circumference (WC, HC), Waist to hip ratio (WHR), waist to height ratio (WHtR), body fat percentage (BF %), neck circumference (NC)] were recorded & calculated as per standard procedures. Analysis was done using appropriate statistical tests. (SPSS, version 21.) Results: Mean age of study participants was 44.55+15.65 years. Overall prevalence of overweight & obesity as per modified criteria for Asian Indians (BMI ≥ 23 kg/m2) was 49.62% (Females-51.48%; Males-47.77%). Also, number of participants having high WHR, WHtR, BF%, WC & NC was 827(76.57%), 530(49.07%), 513(47.5%), 537(49.72%) & 376(34.81%) respectively. Variation of NC, BMI & BF% with age was non- significant. In both the genders, as per the Pearson’s correlational analysis, neck circumference was positively correlated with BMI (men, r=0.670 {p < 0.05}; women, r=0.564 {p < 0.05}), BF% (men, r=0.407 {p < 0.05}; women, r= 0.283 {p < 0.05}), WC (men, r=0.598{p < 0.05}; women, r=0.615 {p < 0.05}), HC (men, r=0.512{p < 0.05}; women, r=0.523{p < 0.05}), WHR (men, r= 0.380{p > 0.05}; women, r=0.022{p > 0.05}) & WHtR (men, r=0.318 {p < 0.05}; women, r=0.396{p < 0.05}). On ROC analysis, NC showed good discriminatory power to identify obesity with AUC (AUC for males: 0.822 & females: 0.873; p- value < 0.001) with maximum sensitivity and specificity at a cut-off value of 36.55 cms for males & 34.05cms for females. Conclusion: NC has fair validity as a community-based screener for overweight and obese individuals in the study context and has also correlated well with other classical indices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neck%20circumference" title="neck circumference">neck circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title=" anthropometric indices"> anthropometric indices</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20fat%20percentage" title=" body fat percentage"> body fat percentage</a> </p> <a href="https://publications.waset.org/abstracts/71299/correlation-between-neck-circumference-and-other-anthropometric-indices-as-a-predictor-of-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71299.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">248</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">1771</span> Insulin Resistance in Children and Adolescents in Relation to Body Mass Index, Waist Circumference and Body Fat Weight</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Vlachopapadopoulou">E. Vlachopapadopoulou</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Dikaiakou"> E. Dikaiakou</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Anagnostou"> E. Anagnostou</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Panagiotopoulos"> I. Panagiotopoulos</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Kaloumenou"> E. Kaloumenou</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Kafetzi"> M. Kafetzi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Fotinou"> A. Fotinou</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Michalacos"> S. Michalacos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aim: To investigate the relation and impact of Body Mass Index (BMI), Waist Circumference (WC) and Body Fat Weight (BFW) on insulin resistance (MATSUDA INDEX < 2.5) in children and adolescents. Methods: Data from 95 overweight and obese children (47 boys and 48 girls) with mean age 10.7 ± 2.2 years were analyzed. ROC analysis was used to investigate the predictive ability of BMI, WC and BFW for insulin resistance and find the optimal cut-offs. The overall performance of the ROC analysis was quantified by computing area under the curve (AUC). Results: ROC curve analysis indicated that the optimal-cut off of WC for the prediction of insulin resistance was 97 cm with sensitivity equal to 75% and specificity equal to 73.1%. AUC was 0.78 (95% CI: 0.63-0.92, p=0.001). The sensitivity and specificity of obesity for the discrimination of participants with insulin resistance from those without insulin resistance were equal to 58.3% and 75%, respectively (AUC=0.67). BFW had a borderline predictive ability for insulin resistance (AUC=0.58, 95% CI: 0.43-0.74, p=0.101). The predictive ability of WC was equivalent with the correspondence predictive ability of BMI (p=0.891). Obese subjects had 4.2 times greater odds for having insulin resistance (95% CI: 1.71-10.30, p < 0.001), while subjects with WC more than 97 had 8.1 times greater odds for having insulin resistance (95% CI: 2.14-30.86, p=0.002). Conclusion: BMI and WC are important clinical factors that have significant clinical relation with insulin resistance in children and adolescents. The cut off of 97 cm for WC can identify children with greater likelihood for insulin resistance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20fat%20weight" title="body fat weight">body fat weight</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=insulin%20resistance" title=" insulin resistance"> insulin resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=obese%20children" title=" obese children"> obese children</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/64737/insulin-resistance-in-children-and-adolescents-in-relation-to-body-mass-index-waist-circumference-and-body-fat-weight" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64737.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">320</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">1770</span> Health Effect of the Central European Diet in Postmenopausal Women with Increased Waist Circumference: A Preliminary Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joanna%20Bajerska">Joanna Bajerska</a>, <a href="https://publications.waset.org/abstracts/search?q=Agata%20Chmurzy%C5%84ska"> Agata Chmurzyńska</a>, <a href="https://publications.waset.org/abstracts/search?q=Agata%20Muzsik"> Agata Muzsik</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrycja%20Krzy%C5%BCanowska"> Patrycja Krzyżanowska</a>, <a href="https://publications.waset.org/abstracts/search?q=Klaudia%20%C5%81ochocka"> Klaudia Łochocka</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaros%C5%82aw%20Walkowiak"> Jarosław Walkowiak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Mediterranean diet (MED) is regarded as beneficial in the therapy of central obesity-associated metabolic abnormalities. However, in the traditional diet of the Central European countries, food items with positive nutritional profiles (rye bread, oats, buckwheat, herrings, linseed and rapeseed oil, berries, apples, plums, root vegetables etc.) are also used. We hypothesized that the Central European Diet (CED) may be comparatively effective in reducing symptoms of central obesity as MED. We tested the health effects of the CED, which is an environmentally friendly regional diet and the traditional MED diet in a group of postmenopausal centrally obese women. A total 58 with a mean age of 60 y (50-70y), body mass index (in kg/m(2)) of 33.4 (22.6-47.3), and waist circumference of 105 cm (87.5-137 cm) were randomly assigned to receive either the diet based on food items commonly used in Central Europe (the CED group; n = 29) or the Mediterranean diet (the MED group; n = 29) for 15 weeks. Body mass and body composition were measured with a Bod Pod (Cosmed, Italy). A non-elastic flexible measuring tape was used to measure waist circumference. Additionally, blood pressure, plasma lipid and glucose levels were assessed with the use of a biochemical analyzer. A total of 50 subjects [86% (CED 83%; MED 90%)] completed the intervention. A high dietary compliance for both described diets was achieved. The mean (±SEM) weight and waist circumference changes were -7.4 ± 0.7 kg; -8.3 ± 0.7 cm and -8.1 ± 0.5 kg; -7.1 ± 0.6 cm for the CED and MED groups, respectively. Moreover, there were no differences between the effectiveness of the diets used in terms of the influence on fat mass, blood pressure, and biochemical parameters. The preliminary data suggest that both described diets may be successfully used for improving central obesity-associated metabolic abnormalities. The project was financed by the National Science Centre awarded based on the number of decision DEC-013/09/B/NZ9/02365 <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=central%20european%20diet" title="central european diet">central european diet</a>, <a href="https://publications.waset.org/abstracts/search?q=central%20obesity" title=" central obesity"> central obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=Mediterranean%20diet" title=" Mediterranean diet"> Mediterranean diet</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20abnormalities" title=" metabolic abnormalities"> metabolic abnormalities</a> </p> <a href="https://publications.waset.org/abstracts/30440/health-effect-of-the-central-european-diet-in-postmenopausal-women-with-increased-waist-circumference-a-preliminary-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30440.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">428</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">1769</span> Maintaining Healthy Body Weight: Beyond Exercise Routines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nahwera%20L.">Nahwera L.</a>, <a href="https://publications.waset.org/abstracts/search?q=Constance%20A.%20N.%20Nsibamb"> Constance A. N. Nsibamb</a>, <a href="https://publications.waset.org/abstracts/search?q=Mukana%20R."> Mukana R.</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20T.%20Goon"> Daniel T. Goon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Regular physical activity is a cornerstone of maintaining good health. Studies have shown that physical inactivity leads to overweight and obesity, a risk factor for non-communicable diseases and a public health challenge. Health clubs provide therapeutic exercises to clients desiring to reduce their weight; however, the exercise routines offered in these health clubs are insufficient to reduce their body weight. A convenient sample of 100 clients. Exercise routines were determined using a questionnaire. Height, weight, waist, and hip circumferences were measured. Body mass index (BMI), waist circumference, and waist-to-hip ratio (WHR) assessed body weight status. About 75% of clients exercised three or more times per week; 96% participated in modern intensity exercises for 30 minutes, aerobic dance (88%), treadmill (56%), cycling (51%), rope skipping (45%), and 14% in strengthening activities. The BMI of male and female clients was 64.2% and 83.0%, respectively. There was no significant correlation (p≤0.05) between BMI and WHR (p=0.336), although there was a significant correlation between BMI and waist circumference (p=0.000). There was no significant relationship between BMI and WHR for males (p= .336) and between BMI and WHR for females (p=.806). Although most clients visiting health clubs meet the recommended frequency, intensity, and duration of exercise, they are overweight and obese. Appropriate exercise and nutritional programs should be incorporated into health clubs offering therapeutic and rehabilitative exercises to clients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Body%20weight%20status" title="Body weight status">Body weight status</a>, <a href="https://publications.waset.org/abstracts/search?q=exercise%20routines" title=" exercise routines"> exercise routines</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20clubs" title=" health clubs"> health clubs</a>, <a href="https://publications.waset.org/abstracts/search?q=exercises" title=" exercises"> exercises</a> </p> <a href="https://publications.waset.org/abstracts/158969/maintaining-healthy-body-weight-beyond-exercise-routines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158969.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">85</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">1768</span> Nutritional Wellness at the Workplace</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siveshnee%20Devar">Siveshnee Devar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The rate of absenteeism and prevalence of NCDs in South Africa is extremely high. This is consistent with other educational institutions and workplaces around the globe. In most cases the absence of health and the presence of one or more non communicable diseases coupled with the lack of physical exercise is a major factor in absenteeism. Absenteeism at the workplace comes at a huge cost to the employer and the country as a whole. Aim: Findings from this study was to develop a suitable nutritional wellness program for the workplace. Methodology: A needs analysis in the form of 24-hour recall, food frequency, health and socio demographic questionnaires was undertaken to determine the need for a wellness program for the institution. Anthropometric indices such as BMI, waist circumference and blood pressure were also undertaken to determine the state of health of the staff. Results: This study has found that obesity, central obesity, hypertension as well as deficiencies in nutrients and minerals were prevalent in this group. Fruit and vegetable consumption was also below the WHO recommendation. This study showed a link between diet, physical activity and diseases of lifestyle. There were positive correlations between age and systolic blood pressure, waist circumference and systolic blood pressure, waist circumference and diastolic blood pressure and waist-to-height ratio and BMI. Conclusion: The results indicated the need for immediate intervention in the form of a wellness program. Nutrition education is important for both the workplace and out. Education and knowledge are important factors for lifestyle changes. The proposed intervention is aimed at improving presenteeism and decreasing the incidence of non- communicable diseases. Presenteeism and good health are important factors for quality education at all educational institutions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=absenteeism" title="absenteeism">absenteeism</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=nutrition" title=" nutrition"> nutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=wellness" title=" wellness"> wellness</a> </p> <a href="https://publications.waset.org/abstracts/28463/nutritional-wellness-at-the-workplace" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28463.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">577</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">1767</span> Association of Neck Circumference as an Indicator of Upper Body Obesity with Cardio-Metabolic Risk Factors among First Degree Relatives of Diabetes Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hadi%20Abdollahi">Hadi Abdollahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Bijan%20Iraj"> Bijan Iraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Mirpourian"> Maryam Mirpourian</a>, <a href="https://publications.waset.org/abstracts/search?q=Behzad%20Shariatifar"> Behzad Shariatifar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The aim of the present study was to determine the relationship between neck circumferences (NC), as an indicator of upper body obesity, with anthropometric and cardio-metabolic factors among the first degree relatives of diabetes patients. Materials and Methods: This cross-sectional study was performed on first degree relatives of diabetes patients (n = 213). Weight, height, waist circumference (WC), hip circumference (HC), systolic blood pressure (SBP), diastolic blood pressure (DBP) and NC were measured. Laboratory data included oral glucose tolerance test (OGTT) results, high density lipoprotein (HDL), low density lipoprotein, triglyceride (TG) and total cholesterol. Results: There was no difference in NC among different results of OGTT in men or women. Factors including weight, body mass index (BMI), WC and HC were strongly associated with NC in both genders (r = 0.420-0.711). NC was weakly associated with SBP in women (r = 0.195) and moderately with DBP in men (r = 0.314). Regarding lipid profile, HDL and TG were associated with NC only in women (r = −0.268-0.325). Conclusions: NC has a significant correlation with gender and anthropometric variables, including BMI, weight and waist and HCs in both men and women, but it does not differ significantly in patients with different status in OGTT. <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=cardiovascular" title=" cardiovascular"> cardiovascular</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes" title=" diabetes"> diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=neck%20circumference" title=" neck circumference"> neck circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/166630/association-of-neck-circumference-as-an-indicator-of-upper-body-obesity-with-cardio-metabolic-risk-factors-among-first-degree-relatives-of-diabetes-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166630.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">75</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">1766</span> Waist Circumference-Related Performance of Tense Indices during Varying Pediatric Obesity States and Metabolic Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Metin%20Donma">Mustafa Metin Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity increases the risk of elevated blood pressure, which is a metabolic syndrome (MetS) component. Waist circumference (WC) is accepted as an indispensable parameter for the evaluation of these health problems. The close relationship of height with blood pressure values revealed the necessity of including height in tense indices. The association of tense indices with WC has also become an increasingly important topic. The purpose of this study was to develop a tense index that could contribute to differential diagnosis of MetS more than the indices previously introduced. One hundred and ninety-four children, aged 06-11 years, were considered to constitute four groups. The study was performed on normal weight (Group 1), overweight+obese (Group 2), morbid obese [without (Group 3) and with (Group 4) MetS findings] children. Children were included in the groups according to the recommendations of World Health Organization based on age- and gender dependent body mass index percentiles. For MetS group, MetS components well-established before were considered. Anthropometric measurements, as well as blood pressure values were taken. Tense indices were computed. The formula for the first tense index was (SP+DP)/2. The second index was Advanced Donma Tense Index (ADTI). The formula for this index was [(SP+DP)/2] * Height. Statistical calculations were performed. 0.05 was accepted as the p value indicating statistical significance. There were no statistically significant differences between the groups for pulse pressure, systolic-to-diastolic pressure ratio and tense index. Increasing values were observed from Group 1 to Group 4 in terms of mean arterial blood pressure and advanced Donma tense index (ADTI), which was highly correlated with WC in all groups except Group 1. Both tense index and ADTI exhibited significant correlations with WC in Group 3. However, in Group 4, ADTI, which includes height parameter in the equation, was unique in establishing a strong correlation with WC. In conclusion, ADTI was suggested as a tense index while investigating children with MetS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title="blood pressure">blood pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=child" title=" child"> child</a>, <a href="https://publications.waset.org/abstracts/search?q=height" title=" height"> height</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/175738/waist-circumference-related-performance-of-tense-indices-during-varying-pediatric-obesity-states-and-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175738.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">56</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">1765</span> The Link between Anthropometry and Fat-Based Obesity Indices in Pediatric Morbid Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20M.%20Donma">Mustafa M. Donma</a>, <a href="https://publications.waset.org/abstracts/search?q=Orkide%20Donma"> Orkide Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anthropometric measurements are essential for obesity studies. Waist circumference (WC) is the most frequently used measure, and along with hip circumference (HC), it is used in most equations derived for the evaluation of obese individuals. Morbid obesity is the most severe clinical form of obesity, and such individuals may also exhibit some clinical findings leading to metabolic syndrome (MetS). Then, it becomes a requirement to discriminate morbid obese children with (MOMetS+) and without (MOMetS-) MetS. Almost all obesity indices can differentiate obese (OB) children from children with normal body mass index (N-BMI). However, not all of them are capable of making this distinction. A recently introduced anthropometric obesity index, waist circumference + hip circumference/2 ((WC+HC)/2), was confirmed to differ OB children from those with N-BMI, however it has not been tested whether it will find clinical usage for the differential diagnosis of MOMetS+ and MOMetS-. This study was designed to find out the availability of (WC+HC)/2 for the purpose and to compare the possible preponderance of it over some other anthropometric or fat-based obesity indices. Forty-five MOMetS+ and forty-five MOMetS- children were included in the study. Participants have submitted informed consent forms. The study protocol was approved by the Non-interventional Ethics Committee of Tekirdag Namik Kemal University. Anthropometric measurements were performed. Body mass index (BMI), waist-to-hip circumference (W/H), (WC+HC)/2, trunk-to-leg fat ratio (TLFR), trunk-to-appendicular fat ratio (TAFR), trunk fat+leg fat/2 ((trunk+leg fat)/2), diagnostic obesity notation model assessment index-2 (D2I) and fat mass index (FMI) were calculated for both groups. Study data was analyzed statistically, and 0.05 for p value was accepted as the statistical significance degree. Statistically higher BMI, WC, (WC+HC)/2, (trunk+leg fat)/2 values were found in MOMetS+ children than MOMetS- children. No statistically significant difference was detected for W/H, TLFR, TAFR, D2I, and FMI between two groups. The lack of difference between the groups in terms of FMI and D2I pointed out the fact that the recently developed fat-based index; (trunk+leg fat)/2 gives much more valuable information during the evaluation of MOMetS+ and MOMetS- children. Upon evaluation of the correlations, (WC+HC)/2 was strongly correlated with D2I and FMI in both MOMetS+ and MOMetS- groups. Neither D2I nor FMI was correlated with W/H. Strong correlations were calculated between (WC+HC)/2 and (trunk+leg fat)/2 in both MOMetS- (r=0.961; p<0.001) and MOMetS+ (r=0.936; p<0.001) groups. Partial correlations between (WC+HC)/2 and (trunk+leg fat)/2 after controlling the effect of basal metabolic rate were r=0.726; p<0.001 in MOMetS- group and r=0.932; p<0.001 in MOMetS+ group. The correlation in the latter group was higher than the first group. In conclusion, recently developed anthropometric obesity index (WC+HC)/2 and fat-based obesity index (trunk+leg fat)/2 were of preponderance over the previously introduced classical obesity indices such as W/H, D2I and FMI during the differential diagnosis of MOMetS+ and MOMetS- children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=children" title="children">children</a>, <a href="https://publications.waset.org/abstracts/search?q=hip%20circumference" title=" hip circumference"> hip circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=morbid%20obesity" title=" morbid obesity"> morbid obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/158891/the-link-between-anthropometry-and-fat-based-obesity-indices-in-pediatric-morbid-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158891.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">1764</span> A New Obesity Index Derived from Waist Circumference and Hip Circumference Well-Matched with Other Indices in Children with Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20M.%20Donma">Mustafa M. Donma</a>, <a href="https://publications.waset.org/abstracts/search?q=Orkide%20Donma"> Orkide Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anthropometric obesity indices such as waist circumference (WC), indices derived from anthropometric measurements such as waist-to-hip ratio (WHR), and indices created from body fat mass composition such as trunk-to-leg fat ratio (TLFR) are commonly used for the evaluation of mild or severe forms of obesity. Their clinical utilities are being compared using body mass index (BMI) percentiles to classify obesity groups. The best of them is still being investigated to make a clear-cut discrimination between healthy normal individuals (N-BMI) and overweight or obese (OB) or morbid obese patients. The aim of this study is to derive a new index, which best suits the purpose for the discrimination of children with N-BMI from OB children. A total of eighty-three children participated in the study. Two groups were constituted. The first group comprised 42 children with N-BMI, and the second group was composed of 41 OB children, whose age- and sex- adjusted BMI percentile values vary between 95 and 99. The corresponding values for the first group were between 15 and 85. This classification was based upon the tables created by World Health Organization. The institutional ethics committee approved the study protocol. Informed consent forms were filled by the parents of the participants. Anthropometric measurements were taken and recorded following a detailed physical examination. Within this context, weight, height (Ht), WC, hip C (HC), neck C (NC) values were taken. Body mass index, WHR, (WC+HC)/2, WC/Ht, (WC/HC)/Ht, WC*NC were calculated. Bioelectrical impedance analysis was performed to obtain body’s fat compartments in terms of total fat, trunk fat, leg fat, arm fat masses. Trunk-to-leg fat ratio, trunk-to-appendicular fat ratio (TAFR), (trunk fat+leg fat)/2 ((TF+LF)/2) were calculated. Fat mass index (FMI) and diagnostic obesity notation model assessment-II (D2I) index values were calculated. Statistical analysis of the data was performed. Significantly increased values of (WC+HC)/2, (TF+LF)/2, D2I, and FMI were observed in OB group in comparison with those of N-BMI group. Significant correlations were calculated between BMI and WC, (WC+HC)/2, (TF+LF)/2, TLFR, TAFR, D2I as well as FMI both in N-BMI and OB groups. The same correlations were obtained for WC. (WC+HC)/2 was correlated with TLFR, TAFR, (TF+LF)/2, D2I, and FMI in N-BMI group. In OB group, the correlations were the same except those with TLFR and TAFR. These correlations were not present with WHR. Correlations were observed between TLFR and BMI, WC, (WC+HC)/2, (TF+LF)/2, D2I as well as FMI in N-BMI group. Same correlations were observed also with TAFR. In OB group, correlations between TLFR or TAFR and BMI, WC as well as (WC+HC)/2 were missing. None was noted with WHR. From these findings, it was concluded that (WC+HC)/2, but not WHR, was much more suitable as an anthropometric obesity index. The only correlation valid in both groups was that exists between (WC+HC)/2 and (TF+LF)/2. This index was suggested as a link between anthropometric and fat-based indices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=children" title="children">children</a>, <a href="https://publications.waset.org/abstracts/search?q=hip%20circumference" title=" hip circumference"> hip circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/144461/a-new-obesity-index-derived-from-waist-circumference-and-hip-circumference-well-matched-with-other-indices-in-children-with-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144461.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">168</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">1763</span> Correlation between Overweightness and the Extent of Coronary Atherosclerosis among the South Caspian Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Nabati">Maryam Nabati</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmood%20Moosazadeh"> Mahmood Moosazadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Soroosh"> Ehsan Soroosh</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanieh%20Shiraj"> Hanieh Shiraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahnaneh%20Gholami"> Mahnaneh Gholami</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Ghaemian"> Ali Ghaemian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Reported effects of obesity on the extent of angiographic coronary artery disease(CAD) have beeninconsistent. The present study aimed to investigate the relationships between the indices of obesity and otheranthropometric markers with the extent of CAD. Methods: This study was conducted on 1008 consecutive patients who underwent coronary angiography. Bodymass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) wereseparately calculated for each patient. Extent, severity, and complexity of CAD were determined by the Gensini andSYNTAX scores. Results: According to the results, there was a significant inverse correlation between the SYNTAX score with BMI(r = − 0.110; P < 0.001), WC (r = − 0.074; P = 0.018), and WHtR (r = − 0.089; P = 0.005). Furthermore, a significant inversecorrelation was observed between the Gensini score with BMI (r = − 0.090; P = 0.004) and WHtR (r = − 0.065; P =0.041). However, the results of multivariate linear regression analysis did not show any association between theSYNTAX and Gensini scores with the indices of obesity and overweight. On the other hand, the patients with anunhealthy WC had a higher prevalence of diabetes mellitus (DM) (P = 0.004) and hypertension (HTN) (P < 0.001) compared to the patients with healthy values. Coexistence of HTN and DM was more prevalent in subjects with anunhealthy WC and WHR compared to that in those with healthy values (P = 0.002 and P = 0.032, respectively). Conclusion: It seems that the anthropometric indices of obesity are not the predictors of the angiographic severityof CAD. However, they are associated with an increased risk of cardiovascular risk factors and higher risk profile. <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=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=coronary%20artery%20disease" title=" coronary artery disease"> coronary artery disease</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/150561/correlation-between-overweightness-and-the-extent-of-coronary-atherosclerosis-among-the-south-caspian-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150561.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">140</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">1762</span> Baseline Data from Specialist Obesity Clinic in a Large Tertiary Care Facility, Karachi, Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asma%20Ahmed">Asma Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Farah%20Khalid"> Farah Khalid</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahlah%20Sohail"> Sahlah Sohail</a>, <a href="https://publications.waset.org/abstracts/search?q=Saira%20Banusokwalla"> Saira Banusokwalla</a>, <a href="https://publications.waset.org/abstracts/search?q=Sabiha%20Banu"> Sabiha Banu</a>, <a href="https://publications.waset.org/abstracts/search?q=Inaara%20Akbar"> Inaara Akbar</a>, <a href="https://publications.waset.org/abstracts/search?q=Safia%20Awan"> Safia Awan</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20Iqbal%20Azam"> Syed Iqbal Azam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Objectives: The level of knowledge regarding obesity as a disease condition and health-seeking behavior regarding its management is grossly lacking. We present data from our multidisciplinary obesity clinic at the large tertiary care facility in Karachi, Pakistan, to provide baseline profiles and outcomes of patients attending these clinics. Methods: 260 who attended the obesity clinic between June 2018 to March 2020 were enrolled in this study. The analysis included descriptive and ROC analysis to identify the best cut-offs of theanthropometric measurements to diagnose obesity-related comorbid conditions. Results: The majority of the studied population were women (72.3%) and employed(43.7%) with a mean age of 35.5 years. Mean BMIwas 37.4, waist circumference was 112.4 cm, visceral fat was 11.7%, and HbA1C was 6.9%. The most common comorbidities were HTN & D.M (33 &31%, respectively). The prevalence of MetS was 16.3% in patients and was slightly higher in males. Visceral fat was the main factor in predicting D.M (0.750; 95% CI: 0.665, 0.836) and MetS (0.709; 95% CI: 0.590, 0.838) compared to total body fat, waist circumference, and BMI. The risk of predicting DM &MetS for the visceral fat above 9.5% in women had the highest sensitivity (80% for D.M & 79% for MetS) and an NPV (92.75% for D.M & 95% for MetS). Conclusions: This study describes and establishes characteristics of these obese individuals, which can help inform clinical practices. These practices may involve using visceral fat for earlier identification and counseling-based interventions to prevent more severe surgical interventions down the line. <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=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=tertiary%20care%20facility" title=" tertiary care facility"> tertiary care facility</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=visceral%20fat" title=" visceral fat"> visceral fat</a> </p> <a href="https://publications.waset.org/abstracts/144668/baseline-data-from-specialist-obesity-clinic-in-a-large-tertiary-care-facility-karachi-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144668.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">158</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">1761</span> Mike Hat: Coloured-Tape-in-Hat as a Head Circumference Measuring Instrument for Early Detection of Hydrocephalus in an Infant</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nyimas%20Annissa%20Mutiara%20Andini">Nyimas Annissa Mutiara Andini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Every year, children develop hydrocephalus during the first year of life. If it is not treated, hydrocephalus can lead to brain damage, a loss in mental and physical abilities, and even death. To be treated, first, we have to do a proper diagnosis using some examinations especially to detect hydrocephalus earlier. One of the examination that could be done is using a head circumference measurement. Increased head circumference is a first and main sign of hydrocephalus, especially in infant (0-1 year age). Head circumference is a measurement of a child's head largest area. In this measurement, we want to get the distance from above the eyebrows and ears and around the back of the head using a measurement tape. If the head circumference of an infant is larger than normal, this infant might potentially suffer hydrocephalus. If early diagnosis and timely treatment of hydrocephalus could be done most children can recover successfully. There are some problems with early detection of hydrocephalus using regular tape for head circumference measurement. One of the problem is the infant’s comfort. We need to make the infant feel comfort along the head circumference measurement to get a proper result of the examination. For that, we can use a helpful stuff, like a hat. This paper is aimed to describe the possibility of using a head circumference measuring instrument for early detection of hydrocephalus in an infant with a mike hat, coloured-tape-in-hat. In the first life, infants’ head size is about 35 centimeters. First three months after that infants will gain 2 centimeters each month. The second three months, infant’s head circumference will increase 1 cm each month. And for the six months later, the rate is 0.5 cm per month, and end up with an average of 47 centimeters. This formula is compared to the WHO’s head circumference growth chart. The shape of this tape-in-hat is alike an upper arm measurement. This tape-in-hat diameter is about 47 centimeters. It contains twelve different colours range by age. If it is out of the normal colour, the infant potentially suffers hydrocephalus. This examination should be done monthly. If in two times of measurement there still in the same range abnormal of head circumference, or a rapid growth of the head circumference size, the infant should be referred to a pediatrician. There are the pink hat for girls and blue hat for boys. Based on this paper, we know that this measurement can be used to help early detection of hydrocephalus in an infant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=head%20circumference" title="head circumference">head circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrocephalus" title=" hydrocephalus"> hydrocephalus</a>, <a href="https://publications.waset.org/abstracts/search?q=infant" title=" infant"> infant</a>, <a href="https://publications.waset.org/abstracts/search?q=mike%20hat" title=" mike hat"> mike hat</a> </p> <a href="https://publications.waset.org/abstracts/58285/mike-hat-coloured-tape-in-hat-as-a-head-circumference-measuring-instrument-for-early-detection-of-hydrocephalus-in-an-infant" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58285.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">265</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">1760</span> Blood Pressure and Anthropometric Measurements: A Correlational Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdul-Monim%20Batiha">Abdul-Monim Batiha</a>, <a href="https://publications.waset.org/abstracts/search?q=Manar%20AlAzzam"> Manar AlAzzam</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20ALBashtawy"> Mohammed ALBashtawy</a>, <a href="https://publications.waset.org/abstracts/search?q=Loai%20Tawalbeh"> Loai Tawalbeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20%20Tubaishat"> Ahmad Tubaishat</a>, <a href="https://publications.waset.org/abstracts/search?q=Fadwa%20N.%20Alhalaiqa"> Fadwa N. Alhalaiqa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is the major modifiable risk factor for many chronic illnesses especially high blood pressure. Objectives: To evaluate the relationship between anthropometric indices and high blood pressure, and which one was most strongly correlated with high blood pressure in Jordanian population. Methods: A cross-sectional study was conducted with a total 622 students and workers from three Jordanian universities. Results: Nearly half of the participant are overweight (34.7%) and obese (15.4%) and hypertension was detected among 138 (22.2%) of the participants. Linear correlation was significant (p<0.01) between both systolic blood pressure and diastolic blood pressure for all anthropometric indices, except for A body shape index and diastolic blood pressure was significant at p< 0.05. Stepwise multiple linear regression analysis was used to assess the influence of age and anthropometric measurements. Conclusions: The waist circumference was the only independent predictor of hypertension, showing that this simple measurement may be an importance marker of high blood pressure in Jordanian population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title="anthropometric indices">anthropometric indices</a>, <a href="https://publications.waset.org/abstracts/search?q=Jordan" title=" Jordan"> Jordan</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title=" blood pressure"> blood pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-sectional%20study" title=" cross-sectional study"> cross-sectional 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=hypertension" title=" hypertension"> hypertension</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/54804/blood-pressure-and-anthropometric-measurements-a-correlational-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54804.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">288</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">1759</span> Prevalence of Metabolic Syndrome According to Different Criteria in Population over 20 Years Old in Ahvaz</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armaghan%20Moravej%20Aleali">Armaghan Moravej Aleali</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajieh%20Shahbazian"> Hajieh Shahbazian</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mahmoud%20Latifi"> Seyed Mahmoud Latifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Yazdanpanah"> Leila Yazdanpanah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: Metabolic syndrome or insulin resistance syndrome or syndrome X is a collection of abdominal obesity, hypertension, glucose intolerance and lipid abnormalities (elevated triglycerides, elevated LDL, and decrease the amount of HDL). That increases the incidence of diabetes and risk of cardiovascular disease. The aim of this study is to investigate the prevalence of metabolic syndrome in people over 20 years of Ahvaz according to IDF, ATPIII, Harmonized I and Harmonized II. Material & Methods: A cross-sectional study with a random cluster sampling in six health centers in Ahvaz was done. After obtaining informed consent, questionnaire for each person filled up including demographic data and examinations, including blood pressure in sitting position, weight, height, waist circumference, and waist circumference measurement. Results: From all participating 912 people, (434 (2/47%) male and 478 (2/52%) female) were evaluated. Mean age was 42/27± 14years (44/2±14/26 for male and 40/5±13/5 for female). Prevalence of metabolic syndrome was 22/8%, 28/4%, 30/9% and 16/9% according to ATPIII, IDF, Harmonized I and Harmonized II criteria respectively and increased with age in both sexes. IDF and Harmonized I had most kappa coordination (0/94). Conclusion: The results show a high prevalence of metabolic syndrome in Ahvaz. So, identification of the risk factors should be attempted to prevent metabolic syndrome. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title="metabolic syndrome">metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=IDF" title=" IDF"> IDF</a>, <a href="https://publications.waset.org/abstracts/search?q=ATP%20III" title=" ATP III"> ATP III</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence "> prevalence </a> </p> <a href="https://publications.waset.org/abstracts/16543/prevalence-of-metabolic-syndrome-according-to-different-criteria-in-population-over-20-years-old-in-ahvaz" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16543.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">579</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">1758</span> Prevalence, Awareness, and Risk Factors of Diabetes in Ahvaz: South West of Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leila%20Yazdanpanah">Leila Yazdanpanah</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajieh%20Shahbazian"> Hajieh Shahbazian</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mahmoud%20Latifi"> Seyed Mahmoud Latifi</a>, <a href="https://publications.waset.org/abstracts/search?q=Armaghan%20Moravej%20Aleali"> Armaghan Moravej Aleali</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Ghanbari"> Saeed Ghanbari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: This study was designed to determine the prevalence of diabetes in people aged over 20 years in Ahvaz, Iran. Material and Methods: The study population selected by cluster sampling. Fasting blood sugar (FBS) assessed after minimum 8 hours night fasting. A questionnaire included: age, sex, weight, height, blood pressure, waist circumference and previous history of diabetes were completed for each patient. FBS≥126mg/dl and/or oral hypoglycemic treatment and/or insulin was defined as diabetes, FBS=100-125 mg/dl as impaired fasting glucose (IFG) and FBS<100mg/dl as normal. Results: Study population was 936 persons (47.2 % male and 52.8% female). The mean age of a population was 42.2±14 years. Diabetes was detected in 15.1 % of population. Only 57cases(6.1%) were aware of their disease and 9% had unknown diabetes. Diabetes was detected in 14.5% of male (11.3% unknown and 3.2 % known diabetes) and in 11.7% of female (7% unknown and 4.7% known diabetes). Prevalence of diabetes had no significant difference (P=0.21) in male and female but unknown diabetes was significantly higher in male (P=0.025). Prevalence of diabetes was increased with rising of age between 20-60 years old but decreasing after 60 years old. Diabetes was related to age, waist circumference and systolic and diastolic blood pressure, TG level and BMI in both sex (P=0.0001). Conclusion: More than half of female and three-fourth of male diabetic patients are unaware of their disease in South of Iran. Diabetes screening should be intensified in this population. <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=prevalence" title=" prevalence"> prevalence</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=awareness" title=" awareness"> awareness</a> </p> <a href="https://publications.waset.org/abstracts/17021/prevalence-awareness-and-risk-factors-of-diabetes-in-ahvaz-south-west-of-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17021.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">465</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">1757</span> Food Insecurity and Other Correlates of Individual Components of Metabolic Syndrome in Women Living with HIV (WLWH) in the United States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Wairimu%20Mwangi">E. Wairimu Mwangi</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Sarpong"> Daniel Sarpong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Access to effective antiretroviral therapy in the United States has resulted in the rise in longevity in people living with HIV (PLHIV). Despite the progress, women living with HIV (WLWH) experience increasing rates of cardiometabolic disorders compared with their HIV-negative counterparts. Studies focusing on the predictors of metabolic disorders in this population have largely focused on the composite measure of metabolic syndrome (METs). This study seeks to identify the predictors of composite and individual METs factors in a nationally representative sample of WLWH. In particular, the study also examines the role of food security in predicting METs. Methods: The study comprised 1800 women, a subset of participants from the Women’s Interagency HIV Study (WIHS). The primary exposure variable, food security, was measured using the U.S. 10-item Household Food Security Survey Module. The outcome measures are the five metabolic syndrome indicators (elevated blood pressure [systolic BP > 130 mmHg and diastolic BP ≥ 85 mmHg], elevated fasting glucose [≥ 110 mg/dL], elevated fasting triglyceride [≥ 150 mg/dL], reduced HDL cholesterol [< 50 mg/dL], and waist circumference > 88 cm) and the composite measure - Metabolic Syndrome (METs) Status. Each metabolic syndrome indicator was coded one if yes and 0 otherwise. The values of the five indicators were summed, and participants with a total score of 3 or greater were classified as having metabolic syndrome. Participants classified as having metabolic syndrome were assigned a code of 1 and 0 otherwise for analysis. The covariates accounted for in this study fell into sociodemographic factors and behavioral and health characteristics. Results: The participants' mean (SD) age was 47.1 (9.1) years, with 71.4% Blacks and 10.9% Whites. About a third (33.1%) had less than a high school (HS) diploma, 60.4% were married, 32.8% were employed, and 53.7% were low-income. The prevalence of worst dietary diversity, low, moderate, and high food security were 24.1%, 26.6%, 17.0%, and 56.4%, respectively. The correlate profile of the five individual METs factors plus the composite measure of METs differ significantly, with METs based on HDL having the most correlates (Age, Education, Drinking Status, Low Income, Body Mass Index, and Health Perception). Additionally, metabolic syndrome based on waist circumference was the only metabolic factor where food security was significantly correlated (Food Security, Age, and Body Mass Index). Age was a significant predictor of all five individual METs factors plus the composite METs measure. Except for METs based on Fasting Triglycerides, body mass index (BMI) was a significant correlate of the various measures of metabolic syndrome. Conclusion: High-density Lipoprotein (HDL) cholesterol significantly correlated with most predictors. BMI was a significant predictor of all METs factors except Fasting Triglycerides. Food insecurity, the primary predictor, was only significantly associated with waist circumference. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title="blood pressure">blood pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20insecurity" title=" food insecurity"> food insecurity</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20glucose" title=" fasting glucose"> fasting glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20triglyceride" title=" fasting triglyceride"> fasting triglyceride</a>, <a href="https://publications.waset.org/abstracts/search?q=high-density%20lipoprotein" title=" high-density lipoprotein"> high-density lipoprotein</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=women%20living%20with%20HIV" title=" women living with HIV"> women living with HIV</a> </p> <a href="https://publications.waset.org/abstracts/173298/food-insecurity-and-other-correlates-of-individual-components-of-metabolic-syndrome-in-women-living-with-hiv-wlwh-in-the-united-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173298.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">58</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">1756</span> Major Dietary Patterns in Relationship with Anthropometric Indices in North West of Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arezou%20Rezazadeh">Arezou Rezazadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Nasrin%20Omidvar"> Nasrin Omidvar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Eini-Zinab"> Hassan Eini-Zinab</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Ghazi-Tabatabaie"> Mahmoud Ghazi-Tabatabaie</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Majdzadeh"> Reza Majdzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeid%20Ghavamzadeh"> Saeid Ghavamzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakineh%20Nouri-Saeidlou"> Sakineh Nouri-Saeidlou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dietary pattern analysis method can reflect more information about the nutritional etiology of chronic diseases such as obesity. The aim of this study was to determine the relationship between major dietary patterns and anthropometric measures in men and women living in the city of Urmia. In this cross-sectional study, 723 participants (427 women and 296 men), aged 20–64 in Urmia city were selected from all four zones of Urmia city, in the north-west of Iran. Anthropometrics (weight, height, waist and hip circumference) were measured with standard methods. Body Mass Index (BMI) was calculated by dividing weight (in kilograms) by the square of height (in meter). Dietary intake information was collected by a semi-quantitative food frequency questionnaire in the last year. Dietary patterns were determined using principal component analysis. The relationship between dietary patterns and obesity was analyzed by logistic regression. Three major dietary patterns (DPs) were identified that were named ‘Traditional Higher SES (THS)’, ‘Traditional Low SES (TLS)’ and ‘Transitional’. THS DP was positively and Transitional DP was negatively associated with BMI and waist circumference (W.C), however, after adjusting for confounding variables (age, gender, ethnicity, energy intake, physical activity and SES), the associations were not significant. The TLS was not significantly associated with BMI, but after adjusting for confounders, a significant positive association was detected with W.C and Waist to hip ratio (WHR). Findings showed that both traditional patterns were positively and the western type transitional pattern was reversely associated with anthropometric indices. But this relationship was highly affected by demographic, socioeconomic and energy input and output determinants. The results indicate the inevitable effect of environmental factors on the relationship between dietary patterns and anthropometric indices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title="anthropometric indices">anthropometric indices</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20pattern" title=" dietary pattern"> dietary pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a>, <a href="https://publications.waset.org/abstracts/search?q=North-west" title=" North-west"> North-west</a> </p> <a href="https://publications.waset.org/abstracts/96680/major-dietary-patterns-in-relationship-with-anthropometric-indices-in-north-west-of-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96680.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">165</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">1755</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">1754</span> An Anthropometric Index Capable of Differentiating Morbid Obesity from Obesity and Metabolic Syndrome in Children</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Metin%20Donma">Mustafa Metin Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Circumference measurements are important because they are easily obtained values for the identification of the weight gain without determining body fat. They may give meaningful information about the varying stages of obesity. Besides, some formulas may be derived from a number of body circumference measurements to estimate body fat. Waist (WC), hip (HC) and neck (NC) circumferences are currently the most frequently used measurements. The aim of this study was to develop a formula derived from these three anthropometric measurements, each giving a valuable information independently, to question whether their combined power within a formula was capable of being helpful for the differential diagnosis of morbid obesity without metabolic syndrome (MetS) from MetS. One hundred and eighty seven children were recruited from the pediatrics outpatient clinic of Tekirdag Namik Kemal University Faculty of Medicine. The parents of the participants were informed about asked to fill and sign the consent forms. The study was carried out according to the Helsinki Declaration. The study protocol was approved by the institutional non-interventional ethics committee. The study population was divided into four groups as normal-body mass index (N-BMI), obese (OB), morbid obese (MO) and MetS, which were composed of 35, 44, 75 and 33 children, respectively. Age- and gender-adjusted BMI percentile values were used for the classification of groups. The children in MetS group were selected based upon the nature of the MetS components described as MetS criteria. Anthropometric measurements, laboratory analysis and statistical evaluation confined to study population were performed. Body mass index values were calculated. A circumference index, advanced Donma circumference index (ADCI) was introduced as WC*HC/NC. The statistical significance degree was chosen as p value smaller than 0.05. Body mass index values were 17.7±2.8, 24.5±3.3, 28.8±5.7, 31.4±8.0 kg/m2, for N-BMI, OB, MO, MetS groups, respectively. The corresponding values for ADCI were 165±35, 240±42, 270±55, and 298±62. Significant differences were obtained between BMI values of N-BMI and OB, MO, MetS groups (p=0.001). Obese group BMI values also differed from MO group BMI values (p=0.001). However, the increase in MetS group compared to MO group was not significant (p=0.091). For the new index, significant differences were obtained between N-BMI and OB, MO, MetS groups (p=0.001). Obese group ADCI values also differed from MO group ADCI values (p=0.015). A significant difference between MO and MetS groups was detected (p=0.043). The correlation coefficient value and the significance check of the correlation was found between BMI and ADCI as r=0.0883 and p=0.001 upon consideration of all participants. In conclusion, in spite of the strong correlation between BMI and ADCI values obtained when all groups were considered, ADCI, but not BMI, was the index, which was capable of differentiating cases with morbid obesity from cases with morbid obesity and MetS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</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=child" title=" child"> child</a>, <a href="https://publications.waset.org/abstracts/search?q=circumference" title=" circumference"> circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/175750/an-anthropometric-index-capable-of-differentiating-morbid-obesity-from-obesity-and-metabolic-syndrome-in-children" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175750.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">63</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">1753</span> Higher Consumption of White Rice Increase the Risk of Metabolic Syndrome in Adults with Abdominal Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Bahadoran">Zahra Bahadoran</a>, <a href="https://publications.waset.org/abstracts/search?q=Parvin%20Mirmiran"> Parvin Mirmiran</a>, <a href="https://publications.waset.org/abstracts/search?q=Fereidoun%20Azizi"> Fereidoun Azizi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Higher consumption of white rice has been suggested as a risk factor for development of metabolic abnormalities. In this study we investigated the association between consumption of white rice and the 3-year occurrence of metabolic syndrome (MetS) in adults with and without abdominal obesity. Methods: This longitudinal study was conducted within the framework of the Tehran Lipid and Glucose Study on 1476 adults, aged 19-70 years. Dietary intakes were measured, using a 168-food items validated semi-quantitative food frequency questionnaire at baseline. Biochemical and anthropometric measurements were evaluated at both baseline (2006-2008) and after 3-year follow-up (2009-2011). MetS and its components were defined according to the diagnostic criteria proposed by NCEP ATP III, and the new cutoff points of waist circumference for Iranian adults. Multiple logistic regression models were used to estimate the occurrence of the MetS in each quartile of white rice consumption. Results: The mean age of participants was 37.8±12.3 y, and mean BMI was 26.0±4.5 kg/m2 at baseline. The prevalence of MetS in subjects with abdominal obesity was significantly higher (40.9 vs. 16.2%, P<0.01). There was no significant difference in white rice consumption between the two groups. Mean daily intake of white rice was 93±59, 209±58, 262±60 and 432±224 g/d, in the first to fourth quartiles of white rice, respectively. Stratified analysis by categories of waist circumference showed that higher consumption of white rice was more strongly related to the risk of metabolic syndrome in participants who had abdominal obesity (OR: 2.34, 95% CI:1.14-4.41 vs. OR:0.99, 95% CI:0.60-1.65) Conclusion: We demonstrated that higher consumption of white rice may be a risk for development of metabolic syndrome in adults with abdominal obesity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=white%20rice" title="white rice">white rice</a>, <a href="https://publications.waset.org/abstracts/search?q=abdominal%20obesity" title=" abdominal obesity"> abdominal obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20science" title=" food science"> food science</a>, <a href="https://publications.waset.org/abstracts/search?q=triglycerides" title=" triglycerides"> triglycerides</a> </p> <a href="https://publications.waset.org/abstracts/21557/higher-consumption-of-white-rice-increase-the-risk-of-metabolic-syndrome-in-adults-with-abdominal-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21557.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">446</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">1752</span> A Comparison between Five Indices of Overweight and Their Association with Myocardial Infarction and Death, 28-Year Follow-Up of 1000 Middle-Aged Swedish Employed Men</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lennart%20Dimberg">Lennart Dimberg</a>, <a href="https://publications.waset.org/abstracts/search?q=Lala%20Joulha%20Ian"> Lala Joulha Ian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Overweight (BMI 25-30) and obesity (BMI 30+) have consistently been associated with cardiovascular (CV) risk and death since the Framingham heart study in 1948, and BMI was included in the original Framingham risk score (FRS). Background: Myocardial infarction (MI) poses a serious threat to the patient's life. In addition to BMI, several other indices of overweight have been presented and argued to replace FRS as more relevant measures of CV risk. These indices include waist circumference (WC), waist/hip ratio (WHR), sagittal abdominal diameter (SAD), and sagittal abdominal diameter to height (SADHtR). Specific research question: The research question of this study is to evaluate the interrelationship between the various body measurements, BMI, WC, WHR, SAD, and SADHtR, and which measurement is strongly associated with MI and death. Methods: In 1993, 1,000 middle-aged Caucasian, randomly selected working men of the Swedish Volvo-Renault cohort were surveyed at a nurse-led health examination with a questionnaire, EKG, laboratory tests, blood pressure, height, weight, waist, and sagittal abdominal diameter measurements. Outcome data of myocardial infarction over 28 years come from Swedeheart (the Swedish national myocardial infarction registry) and the Swedish death registry. The Aalen-Johansen and Kaplan–Meier methods were used to estimate the cumulative incidences of MI and death. Multiple logistic regression analyses were conducted to compare BMI with the other four body measurements. The risk for the various measures of obesity was calculated with outcomes of accumulated first-time myocardial infarction and death as odds ratios (OR) in quartiles. The ORs between the 4th and the 1st quartile of each measure were calculated to estimate the association between the body measurement variables and the probability of cumulative incidences of myocardial infarction (MI) over time. Double-sided P values below 0.05 will be considered statistically significant. Unadjusted odds ratios were calculated for obesity indicators, MI, and death. Adjustments for age, diabetes, SBP, and the ratio of total cholesterol/HDL-C and blue/white collar status were performed. Results: Out of 1000 people, 959 subjects had full information about the five different body measurements. Of those, 90 participants had a first MI, and 194 persons died. The study showed that there was a high and significant correlation between the five different body measurements, and they were all associated with CVD risk factors. All body measurements were significantly associated with MI, with the highest (OR=3.6) seen for SADHtR and WC. After adjustment, all but SADHtR remained significant with weaker ORs. As for all-cause mortality, WHR (OR=1.7), SAD (OR=1.9), and SADHtR (OR=1.6) were significantly associated, but not WC and BMI. However, after adjustment, only WHR and SAD were significantly associated with death, but with attenuated ORs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=BMI" title="BMI">BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=death" title=" death"> death</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a>, <a href="https://publications.waset.org/abstracts/search?q=myocardial%20infarction" title=" myocardial infarction"> myocardial infarction</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=sagittal%20abdominal%20diameter" title=" sagittal abdominal diameter"> sagittal abdominal diameter</a>, <a href="https://publications.waset.org/abstracts/search?q=sagittal%20abdominal%20diameter%20to%20height" title=" sagittal abdominal diameter to height"> sagittal abdominal diameter to height</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=waist-hip%20ratio" title=" waist-hip ratio"> waist-hip ratio</a> </p> <a href="https://publications.waset.org/abstracts/162494/a-comparison-between-five-indices-of-overweight-and-their-association-with-myocardial-infarction-and-death-28-year-follow-up-of-1000-middle-aged-swedish-employed-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162494.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">96</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">1751</span> A Randomized Control Trial Intervention to Combat Childhood Obesity in Negeri Sembilan: The Hebat! Program</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siti%20Sabariah%20Buhari">Siti Sabariah Buhari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ruzita%20Abdul%20Talib"> Ruzita Abdul Talib</a>, <a href="https://publications.waset.org/abstracts/search?q=Poh%20Bee%20Koon"> Poh Bee Koon </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aims to develop and evaluate an intervention to improve eating habits, active lifestyle and weight status of overweight and obese children in Negeri Sembilan. The H.E.B.A.T! Program involved children, parents, and school and focused on behaviour and environment modification to achieve its goal. The intervention consists of H.E.B.A.T! Camp, parent’s workshop and school-based activities. A total of 21 children from intervention school and 22 children from control school who had BMI for age Z-score ≥ +1SD participated in the study. Mean age of subjects was 10.8 ± 0.3 years old. Four phases were included in the development of the intervention. Evaluation of intervention was conducted through process, impact and outcome evaluation. Process evaluation found that intervention program was implemented successfully with minimal modification and without having any technical problems. Impact and outcome evaluation was assessed based on dietary intake, average step counts, BMI for age z-score, body fat percentage and waist circumference at pre-intervention (T0), post-intervention 1 (T1) and post-intervention 2 (T2). There was significant reduction in energy (14.8%) and fat (21.9%) intakes (at p < 0.05) at post-intervention 1 (T1) in intervention group. By controlling for sex as covariate, there was significant intervention effect for average step counts, BMI for age z-score and waist circumference (p < 0.05). In conclusion, the intervention made an impact on positive behavioural intentions and improves weight status of the children. It is expected that the HEBAT! Program could be adopted and implemented by the government and private sector as well as policy-makers in formulating childhood obesity intervention. <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=diet" title=" diet"> diet</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity%20intervention" title=" obesity intervention"> obesity intervention</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20activity" title=" physical activity"> physical activity</a> </p> <a href="https://publications.waset.org/abstracts/71432/a-randomized-control-trial-intervention-to-combat-childhood-obesity-in-negeri-sembilan-the-hebat-program" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71432.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">291</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">1750</span> Prevalence of Pre Hypertension and Its Association to Risk Factors for Cardiovascular Diseases Among Male Undergraduate Students in Chennai</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20S.%20Dinesh%20Madhavan">R. S. Dinesh Madhavan</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Logaraj"> M. Logaraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Recent studies have documented an increase in the risk of cardiovascular diseases (CVD) and a high rate of progression to hypertension in persons with pre hypertension. The risk factors for the growing burden of cardiovascular diseases especially hypertension, diabetes, overweight or obesity and waist hip ratio are increasing. Much study has not been done on cardiovascular risk factors associated with blood pressure (BP) among college students in Indian population. Objectives: The objective of our study was to estimate the prevalence of prehypertension among male students and to assess the association between prehypertension and risk factors for cardiovascular diseases. Material and Methods: A cross-sectional study was conducted among students of a university situated in the suburban area of Chennai. A total of 403 students was studied which included 200 medical and 203 engineering students. The information on selected socio-demographic variables were collected with the help of pre tested structured questionnaire. Measurements of height, weight, blood pressure and postprandial blood glucose were carried out as per standard procedure. Results: The mean age of the participants was 19.56 ± 1.67years. The mean systolic and diastolic blood pressure were 125.80±10.03 mm of Hg and 78.96 ±11.75mm of Hg. The average intake of fruits and vegetable per week were 4.34 ±3.47days and 6.55±4.39 days respectively. Use of smoke and smokeless tobacco were 27.3% and 3% respectively. About 30.3% of the students consume alcohol. Nearly 45.9 % of them did not practice regular exercise. About 29 % were overweight and 5.7% were obese, 24.8% were with waist circumference above 90 centimeters. The prevalence of pre hypertension and hypertension was 49.6% and 19.1% among male students. The prevalence of pre hypertension was higher in medical students (51.5%) compared to engineering students (47.8%). Higher risk of being pre hypertensive were noted above the age of 20 years (OR=4.32), fruit intake less than 3 days a week (OR= 1.03), smokers (OR= 1.13), alcohol intake (OR=1.56), lack of physical exercise (OR=1.90), BMI of more than 25 kg/m2 (OR=1.99). But statistically significant difference was noted between pre hypertensive and normotensive for age (p<0.0001), lack of physical exercise (p=0.004) and BMI (p=0.015). Conclusion: In conclusion nearly half of the students were pre hypertensive. Higher prevalence of smoking, alcohol intake, lack of physical exercise, overweight and increased waist circumference and postprandial blood sugar more than 140 mg/dl was noted among pre-hypertensive compared to normotensive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20diseases" title="cardiovascular diseases">cardiovascular diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=prehypertension" title=" prehypertension"> prehypertension</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=undergraduate%20Students" title=" undergraduate Students "> undergraduate Students </a> </p> <a href="https://publications.waset.org/abstracts/23750/prevalence-of-pre-hypertension-and-its-association-to-risk-factors-for-cardiovascular-diseases-among-male-undergraduate-students-in-chennai" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23750.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">439</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">1749</span> The Factors Associated with Health Status among Community Health Volunteers in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lapatrada%20Numkham">Lapatrada Numkham</a>, <a href="https://publications.waset.org/abstracts/search?q=Saowaluk%20Khakhong"> Saowaluk Khakhong</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeeraporn%20Kummabutr"> Jeeraporn Kummabutr</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-communicable diseases (NCDs) are the leading cause of death in worldwide. Thailand also concerns and focuses on reduction a new case of these diseases. Community Health Volunteers (CHV) is important health personnel in primary health care and performs as a health leader in the community. If the health of CHV changes, it would impact on the performance to promote health of families and community. This cross-sectional study aimed to 1) describe the health status of community health volunteers and 2) examine the factors associated with health status among community health volunteers. The sample included 360 community health volunteers in a province in central Thailand during September-December 2014. Data were collected using questionnaires on health information, knowledge of health behaviors, and health behaviors. Body weight, height, waist circumference (WC), blood pressure (BP), and blood glucose (BS) (fingertip) were assessed. Data were analyzed using descriptive statistics and chi-square test. There were three hundred and sixty participants with 82.5% being women. The mean age was 54 + 8.9 years. Forty-seven percent of the participants had co-morbidities. Hypertension was the most common co-morbidity (26.7%). The results revealed that the health status of the volunteers included: no underlying disease, having risk of hypertension (HT) & diabetes mellitus (DM), and having HT&DM at 38.3%, 30.0%, and 31.7% respectively. The chi-square test revealed that the factors associated with health status among the volunteers were gender, age, WC and body mass index (BMI). The results suggested that community health nurses should; 1) implement interventions to decrease waist circumference and lose weight through education programs, especially females; 2) monitor people that have a risk of HT&DM and that have HT&DM by meeting and recording BP level, BS level, WC and BMI; and 3) collaborate with a district public health officer to initiate a campaign to raise awareness of the risks of chronic diseases among community health volunteers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=community%20health%20volunteers" title="community health volunteers">community health volunteers</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20status" title=" health status"> health status</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20of%20non-communicable%20disease" title=" risk of non-communicable disease"> risk of non-communicable disease</a>, <a href="https://publications.waset.org/abstracts/search?q=Thailand" title=" Thailand"> Thailand</a> </p> <a href="https://publications.waset.org/abstracts/42327/the-factors-associated-with-health-status-among-community-health-volunteers-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42327.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">358</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">1748</span> Obesity and Physical Inactivity: Contributing Factors to Hypertension in Early Adults</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadaf%20Ambreen">Sadaf Ambreen</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayesha%20Bibi"> Ayesha Bibi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Rafiq"> Sara Rafiq</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hypertension is a medical condition in which blood pressure in the arteries is elevated than the normal, having systolic blood pressure more than 120mmHg and diastolic blood pressure more than 80 mmHg. It leads to health complications and increase the risk of diseases such as stroke, heart failure, heart attack, and even death. The aim of the current study was to evaluate nutritional status and activity level among hypertensive early adults in District Mardan Data was collected from the subjects of Public Hospital, Mardan Medical Complex, through questionnaire. A complete information about individual sociodemographic, anthropometry and health status were collected, and physical activity was assessed by using IPAQ questionnaire. A total of 150 individuals were included in the study, in which 90% were females, and 10% were males. Data was analyzed through SPSS Version 22. Majority of the study subjects, 88%, were married, 70% having nuclear living system, 43% were having elementary education, and 43% were working as laborer. Body mass index and waist circumference in female counterpart were found to be positively associated with hypertension and was found statistically significant P=<0.01. Results showed that majority of females were fall in hypertension crisis category with mild activity, and males were having hypertension stage 1 with moderate activity. Our study concluded that non-optimal nutritional status and physical inactivity resulted in elevated blood pressure in females, therefore, lifestyle change such as optimal nutritional status and physical activity may play key role in reducing risk of hypertension. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity%2Foverwight" title="obesity/overwight">obesity/overwight</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=waist%20circumference" title=" waist circumference"> waist circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=early%20adulthood" title=" early adulthood"> early adulthood</a> </p> <a href="https://publications.waset.org/abstracts/145164/obesity-and-physical-inactivity-contributing-factors-to-hypertension-in-early-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/145164.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">147</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=child%20waist%20circumference&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=child%20waist%20circumference&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=child%20waist%20circumference&page=4">4</a></li> <li class="page-item"><a class="page-link" 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