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weight obesity</title> <meta name="description" content="Search results for: normal weight obesity"> <meta name="keywords" content="normal weight obesity"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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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="normal weight obesity"> <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> 6667</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: normal weight obesity</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6667</span> Normal Weight Obesity among Female Students: BMI as a Non-Sufficient Tool for Obesity Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Krzysztof%20Plesiewicz">Krzysztof Plesiewicz</a>, <a href="https://publications.waset.org/abstracts/search?q=Izabela%20Plesiewicz"> Izabela Plesiewicz</a>, <a href="https://publications.waset.org/abstracts/search?q=Krzysztof%20Chi%C5%BCy%C5%84ski"> Krzysztof Chiżyński</a>, <a href="https://publications.waset.org/abstracts/search?q=Marzenna%20Zieli%C5%84ska"> Marzenna Zielińska</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is an independent risk factor for cardiovascular diseases. There are several anthropometric parameters proposed to estimate the level of obesity, but until now there is no agreement which one is the best predictor of cardiometabolic risk. Scientists defined metabolically obese normal weight, who suffer from metabolic abnormalities, the same as obese individuals, and defined this syndrome as normal weight obesity (NWO). Aim of the study: The aim of our study was to determine the occurrence of overweight and obesity in a cohort of young, adult women, using standard and complementary methods of obesity assessment and to indicate those, who are at risk of obesity. The second aim of our study was to test additional methods of obesity assessment and proof that body mass index using alone is not sufficient parameter of obesity assessment. Materials and methods: 384 young women, aged 18-32, were enrolled into the study. Standard anthropometric parameters (waist to hips ratio (WTH), waist to height ratio (WTHR)) and two other methods of body fat percentage measurement (BFPM) were used in the study: electrical bioimpendance analysis (BIA) and skinfold measurement test by digital fat body mass clipper (SFM). Results: In the study group 5% and 7% of participants had waist to hips ratio and accordingly waist to height ratio values connected with visceral obesity. According to BMI 14% participants were overweight and obese. Using additional methods of body fat assessment, there were 54% and 43% of obese for BIA and SMF method. In the group of participants with normal BMI and underweight (not overweight, n =340) there were individuals with the level of BFPM above the upper limit, for the BIA 49% (n =164) and for the SFM 36 % (n=125). Statistical analysis revealed strong correlation between BIA and SFM methods. Conclusion: BMI using alone is not a sufficient parameter of obesity assessment. High percentage of young women with normal BMI values seem to be normal weight obese. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electrical%20bioimpedance" title="electrical bioimpedance">electrical bioimpedance</a>, <a href="https://publications.waset.org/abstracts/search?q=normal%20weight%20obesity" title=" normal weight obesity"> normal weight obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=skin-fold%20measurement%20test" title=" skin-fold measurement test"> skin-fold measurement test</a>, <a href="https://publications.waset.org/abstracts/search?q=women" title=" women"> women</a> </p> <a href="https://publications.waset.org/abstracts/48496/normal-weight-obesity-among-female-students-bmi-as-a-non-sufficient-tool-for-obesity-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48496.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">274</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">6666</span> Association of Gln223Arg Polymorphism of Gene LEPR, Levels of Leptin and Nourishing Habits in Mexican Adolescents with Morbid Obesity </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Claudia%20Patricia%20Beltran%20Miranda">Claudia Patricia Beltran Miranda</a>, <a href="https://publications.waset.org/abstracts/search?q=M%C3%B3nica%20L%C3%B3pez%20Anaya"> Mónica López Anaya</a>, <a href="https://publications.waset.org/abstracts/search?q=M%C3%B3nica%20Navarro%20Meza"> Mónica Navarro Meza</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20Leonor%20Valderrama%20Chairez"> Maria Leonor Valderrama Chairez </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Mexico occupies the second world-wide place of morbid obese people (10- 12 million). Factors that predispose the development of MO are genetic, environmental, physiological, psycho-social and behavioral (nourishing habits). Objective: Associate Gln223Arg polymorphism of gene LEPR, levels of leptina and nourishing habits with the presence of morbid obesity in adolescents of the south of Jalisco (México). Methods: In 41 adolescents (18 normal weight and 23 morbid obesity) of 12 to 19 years of age, both sexes that were measure size and weight with tanita scale and stadimeter to determine IMC. Morbid obesity was determined by tables of the WHO and was established with a standard deviation >3. The Gln223Arg polymorphism have been identify by PCR and leptina levels by ELISA. Nourishing habits were evaluate by the questionnaire the Adolescent Food Habits Checklist. The statistical analysis was performed to compare mean scores obtained from the questionnaire when we compare morbid obesity vs. normal weight adolescents with p=0.03 and a significance of 95%. Results: frequencies alellics and genics were not stadistics significatives p= 0,011 and p=0,279 respectly when were compared between normal weight adolescents and morbib obesity Leptin levels and nourishing habits were associated with morbid obesity. The polymorphism not shown significance with morbid obesity. Conclusions: Dietary habits and leptin levels in adolescents are important factor that predisposes the development of obesity in adolescents. The presence of the polymorphism are not associated with morbid obesity in these subjects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=leptin" title="leptin">leptin</a>, <a href="https://publications.waset.org/abstracts/search?q=nourishing%20habits" title=" nourishing habits"> nourishing habits</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=polymorphism" title=" polymorphism"> polymorphism</a> </p> <a href="https://publications.waset.org/abstracts/28023/association-of-gln223arg-polymorphism-of-gene-lepr-levels-of-leptin-and-nourishing-habits-in-mexican-adolescents-with-morbid-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28023.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">573</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">6665</span> Nutritional Status and Body Image Perception among Thai Adolescents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nareemarn%20Neelapaichit">Nareemarn Neelapaichit</a>, <a href="https://publications.waset.org/abstracts/search?q=Sookfong%20Wongsathapat"> Sookfong Wongsathapat</a>, <a href="https://publications.waset.org/abstracts/search?q=Noppawan%20Piaseu"> Noppawan Piaseu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Body image plays an important role in adolescents. Thai adolescents put high concern on their body image result in unsatisfied their body shapes. Therefore, inappropriate weight management methods have been used. This study examined the body image perception and the nutritional status of Thai adolescents. Body mass index screening was done on 181 nursing students of Ramathibodi School of Nursing to categorized obesity, overweight, normal weight and underweight respondents by using recommended body-mass index (BMI) cut-off points for Asian populations. Self report questionnaire on demographics and body image perception were completed. Results showed that the respondents were mainly female (93.4%) and their mean age were 19.2 years. The prevalence of obesity, overweight, normal weight and underweight of the nursing students were 5.5%, 7.2%, 55.2% and 32.0%, respectively. Of all the respondents, 57.5% correctly perceived themselves, with 37.0% overestimating and 5.5% underestimating their weight status. Of those in the obesity category, 20.0% correctly perceived themselves and 80.0% perceived themselves as overweight. For overweight category, total respondents correctly perceived themselves. Fifty two percent of the normal weight respondents perceived themselves as overweight and 2.0% perceived themselves as obesity. Of the underweight respondents, 77.6% correctly perceived themselves and 20.7% perceived themselves as normal weight. These findings show high occurrence of body image misperception among Thai adolescents. Being concerned with this situation can promote adolescents for healthy weight and practice appropriate weight management methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutritional%20status" title="nutritional status">nutritional status</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20image%20perception" title=" body image perception"> body image perception</a>, <a href="https://publications.waset.org/abstracts/search?q=Thai%20adolescents" title=" Thai adolescents"> Thai adolescents</a>, <a href="https://publications.waset.org/abstracts/search?q=body-mass%20index%20%28BMI%29" title=" body-mass index (BMI)"> body-mass index (BMI)</a> </p> <a href="https://publications.waset.org/abstracts/6385/nutritional-status-and-body-image-perception-among-thai-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6385.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">396</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">6664</span> Vitamin D Deficiency and Insufficiency in Postmenopausal Women with Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vladyslav%20Povoroznyuk">Vladyslav Povoroznyuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Musiienko"> Anna Musiienko</a>, <a href="https://publications.waset.org/abstracts/search?q=Nataliia%20Dzerovych"> Nataliia Dzerovych</a>, <a href="https://publications.waset.org/abstracts/search?q=Roksolana%20Povoroznyuk"> Roksolana Povoroznyuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Oksana%20Ivanyk"> Oksana Ivanyk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Deficiency and insufficiency of Vitamin D is a pandemic of the 21<sup>st</sup> century. Obesity patients have a lower level of vitamin D, but the literature data are contradictory. The purpose of this study is to investigate deficiency and insufficiency vitamin D in postmenopausal women with obesity. We examined 1007 women aged 50-89 years. Mean age was 65.74±8.61 years; mean height was 1.61±0.07 m; mean weight was 70.65±13.50 kg; mean body mass index was 27.27±4.86 kg/m<sup>2</sup>, and mean 25(OH) D levels in serum was 26.00±12.00 nmol/l. The women were divided into the following six groups depending on body mass index: I group – 338 women with normal body weight, II group – 16 women with insufficient body weight, III group – 382 women with excessive body weight, IV group – 199 women with obesity of class I, V group – 60 women with obesity of class II, and VI group – 12 women with obesity of class III. Level of 25(OH)D in serum was measured by means of an electrochemiluminescent method - Elecsys 2010 analyzer (Roche Diagnostics, Germany) and cobas test-systems. 34.4% of the examined women have deficiency of vitamin D and 31.4% insufficiency. Women with obesity of class I (23.60±10.24 ng/ml) and obese of class II (22.38±10.34 ng/ml) had significantly lower levels of 25 (OH) D compared to women with normal body weight (28.24±12.99 ng/ml), p=0.00003. In women with obesity, BMI significantly influences vitamin D level, and this influence does not depend on the season. <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=body%20mass%20index" title=" body mass index"> body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D%20deficiency" title=" vitamin D deficiency"> vitamin D deficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D%20insufficiency" title=" vitamin D insufficiency"> vitamin D insufficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=postmenopausal%20women" title=" postmenopausal women"> postmenopausal women</a>, <a href="https://publications.waset.org/abstracts/search?q=age" title=" age"> age</a> </p> <a href="https://publications.waset.org/abstracts/89669/vitamin-d-deficiency-and-insufficiency-in-postmenopausal-women-with-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89669.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">180</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">6663</span> Metabolically Healthy Obesity and Protective Factors of Cardiovascular Diseases as a Result from a Longitudinal Study in Tebessa (East of Algeria)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salima%20Taleb">Salima Taleb</a>, <a href="https://publications.waset.org/abstracts/search?q=Kafila%20Boulaba"> Kafila Boulaba</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahlem%20Yousfi"> Ahlem Yousfi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nada%20Taleb"> Nada Taleb</a>, <a href="https://publications.waset.org/abstracts/search?q=Difallah%20Basma"> Difallah Basma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Obesity is recognized as a cardiovascular risk factor. It is associated with cardio-metabolic diseases. Its prevalence is increasing significantly in both rich and poor countries. However, there are obese people who have no metabolic disturbance. So we think obesity is not always a risk factor for an abnormal metabolic profile that increases the risk of cardiometabolic problems. However, there is no definition that allows us to identify the individual group Metabolically Healthy but Obese (MHO). Objective: The objective of this study is to evaluate the relationship between MHO and some factors associated with it. Methods: A longitudinal study is a prospective cohort study of 600 participants aged ≥18 years. Metabolic status was assessed by the following parameters: blood pressure, fasting glucose, total cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides. Body Mass Index (BMI) was calculated as weight (in kg) divided by height (m2), BMI = Weight/(Height)². According to the BMI value, our population was divided into four groups: underweight subjects with BMI <18.5 kg/m2, normal weight subjects with BMI = 18.5–24.9 kg/m², overweight subjects with BMI=25–29.9 kg/m², and obese subjects who have (BMI ≥ 30 kg/m²). A value of P < 0.05 was considered significant. Statistical processing was done using the SPSS 25 software. Results: During this study, 194 (32.33%) were identified as MHO among 416 (37%) obese individuals. The prevalence of the metabolically unhealthy phenotype among normal-weight individuals was (13.83%) vs. (37%) in obese individuals. Compared with metabolically healthy normal-weight individuals (10.93%), the prevalence of diabetes was (30.60%) in MHO, (20.59%) in metabolically unhealthy normal weight, and (52.29%) for metabolically unhealthy obese (p = 0.032). Blood pressure was significantly higher in MHO individuals than in metabolically healthy normal-weight individuals and in metabolically unhealthy obese than in metabolically unhealthy normal weight (P < 0.0001). Familial coronary artery disease does not appear to have an effect on the metabolic status of obese and normal-weight patients (P = 0.544). However, waist circumference appears to have an effect on the metabolic status of individuals (P < 0.0001). Conclusion: This study showed a high prevalence of metabolic profile disruption in normal-weight subjects and a high rate of overweight and/or obese people who are metabolically healthy. To understand the physiological mechanism related to these metabolic statuses, a thorough study is needed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metabolically%20health" title="metabolically health">metabolically health</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=factors%20associated" title=" factors associated"> factors associated</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20diseases" title=" cardiovascular diseases"> cardiovascular diseases</a> </p> <a href="https://publications.waset.org/abstracts/158947/metabolically-healthy-obesity-and-protective-factors-of-cardiovascular-diseases-as-a-result-from-a-longitudinal-study-in-tebessa-east-of-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158947.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">117</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">6662</span> Weight Status, Body Appreciation Correlated with Husbands' Satisfaction in Saudi Women</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hala%20Hzam%20Al%20Otaibi">Hala Hzam Al Otaibi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is more common among Saudi women compared to men, with 75–88% of adult women suffering from overweight or obesity and most of them married. Weight status and body appreciation are an important factor in maintaining or loss weight behaviors and for husbands satisfaction. Aims: To assess weight status, body appreciation and related factors, including age, level of education, occupation status husbands satisfaction in adult women. Methods: A cross-sectional study conducted among 326 married women, aged 18 to 60 years old in Eastern of Saudi Arabia. Data were collected by face to face interview, height and weight were measured to calculate body mass index (BMI). Body Appreciation Scale (BAS) and husbands satisfied were evaluated through questioning. Results: The majority of women has a university education, not employed and less than 40 years old (66.5%, 69.9%, 67.5%; respectively). Fifty-four percent of women overweight/obese and the rest were normal weight, BAS mean score was lower in younger women (>40 years) 7.39+2.20 and obese women (6.83+2.16) which is reflected lower body appreciation. Husbands' satisfaction regarding the weight status shows 47.6% of normal weight believed their husbands were dissatisfied with their weight and consider them as overweight/obese, 28.3% of overweight/obese thought their husbands satisfied with their weight and consider them as normal weight. Body appreciation correlated with age (r.139,p<0.05) and no correlation found for level of education and employed status. Husbands satisfaction strongly correlated with body appreciation (r.189,p<0.01) and weight status (r .570,p <0.01). Conclusion: Our findings indicate that women had a low body appreciation related to age, weight status and husbands' dissatisfaction. Future interventions aimed to weight reduction, it is important to consider husband satisfaction, as well as we need more assessment of weight satisfaction in younger women. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20appreciation" title="body appreciation">body appreciation</a>, <a href="https://publications.waset.org/abstracts/search?q=husbands%20satisfaction" title=" husbands satisfaction"> husbands satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=weight%20status" title=" weight status"> weight status</a>, <a href="https://publications.waset.org/abstracts/search?q=women" title=" women"> women</a> </p> <a href="https://publications.waset.org/abstracts/45905/weight-status-body-appreciation-correlated-with-husbands-satisfaction-in-saudi-women" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45905.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">374</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">6661</span> A Comparison of Three Protocols Weight-Loss Interventions for Obese Females </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nayera%20E.%20Hassan">Nayera E. Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sahar%20A.%20El-Masry"> Sahar A. El-Masry</a>, <a href="https://publications.waset.org/abstracts/search?q=Rokia%20El-Banna"> Rokia El-Banna</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20S.%20El%20Hussieny"> Mohamed S. El Hussieny </a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are several different modalities for treatment of obesity. Common intervention methods for obesity include low-calorie diet, exercise. Also acupuncture has shown good therapeutic results in the treatment of obesity. A recent clinical observation showed that laser acupuncture could reduce body weight and body mass index in obese persons. So, the aim of this research is focused on body composition changes as related to type of intervention, before and after intentional weight loss in overweight and obesity. 76 subjects were included in the study analysis. The present study recommended that every obese female must do lipid profile and fasting blood sugar analysis before weight-loss intervention to take the decision of which method should be used. <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=weight-loss" title=" weight-loss"> weight-loss</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20composition" title=" body composition"> body composition</a>, <a href="https://publications.waset.org/abstracts/search?q=modalities" title=" modalities "> modalities </a> </p> <a href="https://publications.waset.org/abstracts/20193/a-comparison-of-three-protocols-weight-loss-interventions-for-obese-females" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20193.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">488</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">6660</span> The Most Effective Interventions to Prevent Childhood Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarah-Anne%20Schumann">Sarah-Anne Schumann</a>, <a href="https://publications.waset.org/abstracts/search?q=Chintan%20Shah"> Chintan Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandeep%20Ponniah"> Sandeep Ponniah</a>, <a href="https://publications.waset.org/abstracts/search?q=Syeachia%20Dennis"> Syeachia Dennis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effective interventions to prevent childhood obesity include limiting sugar-sweetened beverage intake (SOR: B, longitudinal study), school and home based strategies to reduce total screen time and increase physical activity, behavioral and dietary counseling, and support for parents and families (SOR: A, meta-analysis of randomized and non-randomized controlled trials). Risk factors for childhood obesity include maternal pre-pregnancy weight, high infant birth weight, early infant rapid weight gain and maternal smoking during pregnancy which may provide opportunities to intervene and prevent childhood obesity (SOR: B, meta-analysis of observational studies). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=childhood" title="childhood">childhood</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=prevent%20obesity" title=" prevent obesity"> prevent obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=interventions%20to%20prevent%20obesity" title=" interventions to prevent obesity"> interventions to prevent obesity</a> </p> <a href="https://publications.waset.org/abstracts/36469/the-most-effective-interventions-to-prevent-childhood-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36469.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">445</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">6659</span> Gestational Vitamin D Levels Mitigate the Effect of Pre-pregnancy Obesity on Gestational Diabetes Mellitus: A Birth Cohort Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Majeda%20S.%20Hammoud">Majeda S. Hammoud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Aim: Gestational diabetes mellitus (GDM) is a common pregnancy complication affecting around 14% of pregnancies globally that carries short and long-term consequences to the mother and her child. Pre-pregnancy overweight or obesity is the most consistently and strongly associated modifiable risk factor with GDM development. This analysis aimed to determine whether vitamin D status during pregnancy modulates the effect of pre-pregnancy obesity/overweight on GDM risk while stratifying by maternal age. Methods: Data from the Kuwait Birth Cohort (KBC) study were analyzed, which enrolled pregnant women in the second or third trimester of gestation. Pre-pregnancy body mass index (BMI; kg/m2) was categorized as under/normal weight (<25.0), overweight (25.0 to <30.0), and obesity (≥30.0). 25 hydroxyvitamin D levels were measured in blood samples that were collected at recruitment and categorized as deficiency (<50 nmol/L) and insufficiency/sufficiency (≥50 nmol/L). GDM status was ascertained according to international guidelines. Logistic regression was used to evaluate associations, and adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated. Results: The analyzed study sample included a total of 982 pregnant women, with a mean (SD) age of 31.4 (5.2) years. The prevalence of GDM was estimated to be 17.3% (95% CI: 14.9-19.7), and the prevalence of pre-pregnancy overweight and obesity was 37.8% (95% CI: 34.8-40.8) and 28.8% (95% CI: 26.0-31.7), respectively. The prevalence of gestational vitamin D deficiency was estimated to be 55.3% (95% CI: 52.2-58.4). The association between pre-pregnancy overweight or obesity with GDM risk differed according to maternal age and gestational vitamin D status (Pinteraction[BMI × age × vitamin D = 0.047). Among pregnant women aged <35 years, prepregnancy obesity compared to under/normal weight was associated with increased GDM risk among women with gestational vitamin D deficiency (aOR: 3.65, 95% CI: 1.50-8.86, p = 0.004) and vitamin D insufficiency/sufficiency (aOR: 2.55, 95% CI: 1.16-5.61, p = 0.019). In contrast, among pregnant women aged ≥35 years, pre-pregnancy obesity compared to under/normal weight was associated with increased GDM risk among women with gestational vitamin D deficiency (aOR: 9.70, 95% CI: 2.01-46.69, p = 0.005), but not among women with vitamin D insufficiency/sufficiency (aOR: 1.46, 95% CI: 0.42-5.16, p = 0.553). Conclusion: The effect of pre-pregnancy obesity on GDM risk is modulated by maternal age and gestational vitamin D status, with the effect of pre-pregnancy obesity being more pronounced among older pregnant women (aged ≥35 years) with gestational vitamin D deficiency compared to those with vitamin D insufficiency/sufficiency. Whereas, among younger women (aged <35 years), the effect of pre-pregnancy obesity on GDM risk was not modulated by gestational vitamin D status. Therefore, vitamin D supplementation among pregnant women, specifically older women with pre-pregnancy obesity, may mitigate the effect of pre-pregnancy obesity on GDM risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gestational%20diabetes%20mellitus" title="gestational diabetes mellitus">gestational diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D" title=" vitamin D"> vitamin D</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title=" body mass index"> body mass index</a> </p> <a href="https://publications.waset.org/abstracts/187325/gestational-vitamin-d-levels-mitigate-the-effect-of-pre-pregnancy-obesity-on-gestational-diabetes-mellitus-a-birth-cohort-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187325.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">38</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">6658</span> Prevalence of Obesity and Associated Risk Factors in South African Employees</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeanne%20Grace">Jeanne Grace</a>, <a href="https://publications.waset.org/abstracts/search?q=Shereen%20Currie"> Shereen Currie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity associated comorbidities increase the risk of morbidity and mortality among employees in the workplace. Objectives: The study aimed to determine the prevalence of obesity and comorbidities like diabetes, hypertension, and hypercholesterolemia associated with obesity within the workplace in South Africa. Methods: A total of 17359 male (n = 8561) and female (n = 8798) employees, aged between 18-64 years (40.8 ± 11.0), from various corporate and industrial companies in South Africa participated in the study. Subjects were assigned to one of five body mass index (BMI) categories, according to their BMI: normal weight, BMI of 18.5‒24.9 kg/m² (n = 7338); overweight, BMI of 25.0‒29.9 kg/m² (n = 6323); obese class I, BMI of 30.0-34.9 kg/m² (n = 2552); obese class II, BMI of 35.0-39.9 kg/m² (n = 782); and obese class III, BMI of ≥ 40 kg/m² (n = 364). Height, weight, blood pressure, random blood glucose, and total cholesterol were measured. Results: The prevalence of normal weight men was 29.2% and women 55.0%; overweight men 46.4% and women 26.7%, obese men 24.4% and women 18.3%. A significant association (p<0.01) of BMI with diabetes, systolic and diastolic hypertension, and hypercholesterolemia were noted. Conclusion: Obesity is strongly associated with adverse comorbidities that may impact employees’ quality of life and performance. If unaddressed, it can increase comorbidities, not only affecting the bottom line of companies but causing morbidity and mortality, including sudden death. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title="body mass index">body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=cholesterol" title=" cholesterol"> cholesterol</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20glucose" title=" blood glucose"> blood glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=workplace" title=" workplace"> workplace</a> </p> <a href="https://publications.waset.org/abstracts/141292/prevalence-of-obesity-and-associated-risk-factors-in-south-african-employees" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141292.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">186</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">6657</span> An Indispensable Parameter in Lipid Ratios to Discriminate between Morbid Obesity and Metabolic Syndrome in Children: High Density Lipoprotein Cholesterol</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Orkide%20Donma">Orkide Donma</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20M.%20Donma"> Mustafa M. Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is a low-grade inflammatory disease and may lead to health problems such as hypertension, dyslipidemia, diabetes. It is also associated with important risk factors for cardiovascular diseases. This requires the detailed evaluation of obesity, particularly in children. The aim of this study is to enlighten the potential associations between lipid ratios and obesity indices and to introduce those with discriminating features among children with obesity and metabolic syndrome (MetS). A total of 408 children (aged between six and eighteen years) participated in the scope of the study. Informed consent forms were taken from the participants and their parents. Ethical Committee approval was obtained. Anthropometric measurements such as weight, height as well as waist, hip, head, neck circumferences and body fat mass were taken. Systolic and diastolic blood pressure values were recorded. Body mass index (BMI), diagnostic obesity notation model assessment index-II (D2 index), waist-to-hip, head-to-neck ratios were calculated. Total cholesterol, triglycerides, high-density lipoprotein cholesterol (HDLChol), low-density lipoprotein cholesterol (LDLChol) analyses were performed in blood samples drawn from 110 children with normal body weight, 164 morbid obese (MO) children and 134 children with MetS. Age- and sex-adjusted BMI percentiles tabulated by World Health Organization were used to classify groups; normal body weight, MO and MetS. 15<sup>th</sup>-to-85<sup>th</sup> percentiles were used to define normal body weight children. Children, whose values were above the 99th percentile, were described as MO. MetS criteria were defined. Data were evaluated statistically by SPSS Version 20. The degree of statistical significance was accepted as p≤0.05. Mean±standard deviation values of BMI for normal body weight children, MO children and those with MetS were 15.7±1.1, 27.1±3.8 and 29.1±5.3 kg/m<sup>2</sup>, respectively. Corresponding values for the D2 index were calculated as 3.4±0.9, 14.3±4.9 and 16.4±6.7. Both BMI and D2 index were capable of discriminating the groups from one another (p≤0.01). As far as other obesity indices were considered, waist-to hip and head-to-neck ratios did not exhibit any statistically significant difference between MO and MetS groups (p≥0.05). Diagnostic obesity notation model assessment index-II was correlated with the triglycerides-to-HDL-C ratio in normal body weight and MO (r=0.413, p≤0.01 and r=0.261, (p≤0.05, respectively). Total cholesterol-to-HDL-C and LDL-C-to-HDL-C showed statistically significant differences between normal body weight and MO as well as MO and MetS (p≤0.05). The only group in which these two ratios were significantly correlated with waist-to-hip ratio was MetS group (r=0.332 and r=0.334, p≤0.01, respectively). Lack of correlation between the D2 index and the triglycerides-to-HDL-C ratio was another important finding in MetS group. In this study, parameters and ratios, whose associations were defined previously with increased cardiovascular risk or cardiac death have been evaluated along with obesity indices in children with morbid obesity and MetS. Their profiles during childhood have been investigated. Aside from the nature of the correlation between the D2 index and triglycerides-to-HDL-C ratio, total cholesterol-to-HDL-C as well as LDL-C-to- HDL-C ratios along with their correlations with waist-to-hip ratio showed that the combination of obesity-related parameters predicts better than one parameter and appears to be helpful for discriminating MO children from MetS group. <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=lipid%20ratios" title=" lipid ratios"> lipid ratios</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%20indices" title=" obesity indices"> obesity indices</a> </p> <a href="https://publications.waset.org/abstracts/77349/an-indispensable-parameter-in-lipid-ratios-to-discriminate-between-morbid-obesity-and-metabolic-syndrome-in-children-high-density-lipoprotein-cholesterol" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77349.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">6656</span> A U-shaped Relationship between Body Mass Index and Dysmenorrhea: A Longitudinal Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Ju">H. Ju</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Jones"> M. Jones</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20D.%20Mishra"> G. D. Mishra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Limited longitudinal studies have examined the relationship between BMI and dysmenorrhea, resulting in mixed results. This study aims to investigate the long-term association between BMI and dysmenorrhea. Methods: 9,688 women from Australian Longitudinal Study on Women’s Health (ALSWH), a prospective population-based cohort study, were followed for 13 years. Data were collected through self-reported questionnaires repeatedly on all variables, including dysmenorrhea, weight and height. The longitudinal association between dysmenorrhea and BMI or BMI transition (change of BMI categories between two successive surveys) was investigated by generalized estimating equations. Results: When the women were aged 22 to 27 years, approximately 11% were obese, 7% underweight, and 25% reported dysmenorrhea. Over the study period, the prevalence of obesity doubled whereas that of underweight declined substantially. The prevalence of dysmenorrhea remained relatively stable. Compared to women with a normal weight, significantly higher odds of reporting dysmenorrhea were detected for both women who were underweight (odds ratio (OR) 1.25, 95% confidence interval (CI) 1.09, 1.43) and obese (OR 1.20, 95% CI 1.10, 1.31). Being overweight was not associated with increased risk of dysmenorrhea. Compared to women who remained at normal weight or overweight over time, significant risk was detected for women who: remained underweight or obese (OR 1.35, 95% CI 1.23, 1.49), were underweight but became normal or overweight (OR 1.29, 95% CI 1.11, 1.50), became underweight (OR 1.24, 95% CI 1.01, 1.52). However, the higher risk among obese women disappeared when they lost weight and became normal weight or overweight (OR 1.07, 95% CI 0.87, 1.30). Conclusions: A U-shaped association was revealed between dysmenorrhea and BMI, revealing higher risk of dysmenorrhea for both underweight and obese women. Further, the risk disappeared when obese women lost weight and acquired a healthier BMI. However obesity certainly poses a greater burden of disease from the public health perspective, thus requires greater effort to tackle the increasing problem at the population level. It is important to maintain a healthy weight over time for women to enjoy a better reproductive health. <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=dysmenorrhea" title=" dysmenorrhea"> dysmenorrhea</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=painful%20period" title=" painful period"> painful period</a>, <a href="https://publications.waset.org/abstracts/search?q=underweight" title=" underweight "> underweight </a> </p> <a href="https://publications.waset.org/abstracts/24913/a-u-shaped-relationship-between-body-mass-index-and-dysmenorrhea-a-longitudinal-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24913.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">326</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">6655</span> Vitamin D Status in Relation to Body Mass Index: Population of Carpathian Region</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vladyslav%20Povoroznyuk">Vladyslav Povoroznyuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Pankiv"> Ivan Pankiv</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present research has attempted to link a higher body weight with a lower vitamin D status. Objective: Vitamin D status of Carpathian region population in Ukraine was studied to examine whether serum levels of 25-hydroxyvitamin D [25(OH)D] are associated with body mass index (BMI). Methods: Data collected from 302 adults (18–84 years) were analyzed. Variables measured included serum 25(OH)D, weight and height used to determine BMI status. Results: Mean 25(OH)D level was 23.2 ± 8.1 ng/mL for the group; 26.3 ± 8.4 ng/mL and 22.8 ± 9.1 ng/mL for males and females, respectively. Based on BMI, 3.6% were underweight, 21.2% had a normal weight, 46.4% were overweight and 28.8% obese. Only in 28 cases (9.3%), content of 25(ОН)D in the serum of blood was within the normal limits, and there were vitamin D deficiency and insufficiency observed in other cases (90.7%). Thus, severe vitamin D deficiency was revealed in 1.7% of the inspected. A significant interrelation between levels of 25(OH)D in blood and BMI was found among persons with BMI 25-29.9 kg/m2. Mean value of 25(OH)D levels among persons with obesity did not differ to a significant extent from indexes in persons with normal body weight. Conclusion: Status of vitamin D among the population of Carpathian region remains far from optimal and requires urgent measures in correction and prevention. Results confirmed a poor inverse relationship between vitamin D status and BMI. Intercommunication between maintenance of vitamin D and BMI requires further investigations. <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=Carpathian%20region" title=" Carpathian region"> Carpathian region</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D" title=" vitamin D"> vitamin D</a> </p> <a href="https://publications.waset.org/abstracts/66304/vitamin-d-status-in-relation-to-body-mass-index-population-of-carpathian-region" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66304.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">390</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">6654</span> Diet and Exercise Intervention and Bio–Atherogenic Markers for Obesity Classes of Black South Africans with Type 2 Diabetes Mellitus Using Discriminant Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Oladele%20V.%20Adeniyi">Oladele V. Adeniyi</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Longo-Mbenza"> B. Longo-Mbenza</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> Background: Lipids are often low or in the normal ranges and controversial in the atherogenesis among Black Africans. The effect of the severity of obesity on some traditional and novel cardiovascular disease risk factors is unclear before and after a diet and exercise maintenance programme among obese black South Africans with type 2 diabetes mellitus (T2DM). Therefore, this study aimed to identify the risk factors to discriminate obesity classes among patients with T2DM before and after a diet and exercise programme. Methods: This interventional cohort of Black South Africans with T2DM was followed by a very – low calorie diet and exercise programme in Mthatha, between August and November 2013. Gender, age, and the levels of body mass index (BMI), blood pressure, monthly income, daily frequency of meals, blood random plasma glucose (RPG), serum creatinine, total cholesterol (TC), triglycerides (TG), LDL –C, HDL – C, Non-HDL, ratios of TC/HDL, TG/HDL, and LDL/HDL were recorded. Univariate analysis (ANOVA) and multivariate discriminant analysis were performed to separate obesity classes: normal weight (BMI = 18.5 – 24.9 kg/m2), overweight (BMI = 25 – 29.9 kg/m2), obesity Class 1 (BMI = 30 – 34.9 kg/m2), obesity Class 2 (BMI = 35 – 39.9 kg/m2), and obesity Class 3 (BMI ≥ 40 kg/m2). Results: At the baseline (1st Month September), all 327 patients were overweight/obese: 19.6% overweight, 42.8% obese class 1, 22.3% obese class 2, and 15.3% obese class 3. In discriminant analysis, only systolic blood pressure (SBP with positive association) and LDL/HDL ratio (negative association) significantly separated increasing obesity classes. At the post – evaluation (3rd Month November), out of all 327 patients, 19.9%, 19.3%, 37.6%, 15%, and 8.3% had normal weight, overweight, obesity class 1, obesity class 2, and obesity class 3, respectively. There was a significant negative association between serum creatinine and increase in BMI. In discriminant analysis, only age (positive association), SBP (U – shaped relationship), monthly income (inverted U – shaped association), daily frequency of meals (positive association), and LDL/HDL ratio (positive association) classified significantly increasing obesity classes. Conclusion: There is an epidemic of diabesity (Obesity + T2DM) in this Black South Africans with some weight loss. Further studies are needed to understand positive or negative linear correlations and paradoxical curvilinear correlations between these markers and increase in BMI among black South African T2DM patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atherogenic%20dyslipidaemia" title="atherogenic dyslipidaemia">atherogenic dyslipidaemia</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20interventions" title=" dietary interventions"> dietary interventions</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=south%20africans" title=" south africans"> south africans</a> </p> <a href="https://publications.waset.org/abstracts/27698/diet-and-exercise-intervention-and-bio-atherogenic-markers-for-obesity-classes-of-black-south-africans-with-type-2-diabetes-mellitus-using-discriminant-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27698.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">367</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">6653</span> Stressful Life Events and Their Influence on Childhood Obesity and Emotional Well-Being: Cross-Sectional Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Rojo">M. Rojo</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Blanco"> M. Blanco</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Lacruz"> T. Lacruz</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Solano"> S. Solano</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Beltran"> L. Beltran</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Graell"> M. Graell</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20R.%20Sepulveda."> A. R. Sepulveda. </a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is an association between an early accumulation of Stressful Life Events (SLE) during childhood and various physical and psychological health complications. However, there are only a few studies on this topic in children and adolescents with overweight or obesity. The general aim of the study was to evaluate the accumulation and type of SLE in 200 children from 8 to 12 years old and analyze the relationship with their emotional well-being and weight status (obesity, overweight and normal weight). The children and their families completed an interview. The evaluated variables that are included in this study are sociodemographic measures, medical/psychological history, anthropometric measures (BMI, z-BMI), and psychological variables (children's clinical interview K-SADS-PL(Schedule for Affective Disorders and Schizophrenia for School-Age Children Present and Lifetime Version) and battery of questionnaires). Results: Children with overweight and obesity accumulate more stressful events from an early age and have a significantly higher percentage of psychiatric diagnoses, compared to their peers with normal weight. Presenting a child psychiatric disorder is related to greater z-BMI and the total number of SLE (p < 0.001). A higher z-BMI is also related to a greater number of stressful events during childhood. There is also a positive and significant relationship between the total number of SLE and worse emotional well-being (higher levels of anxious and depressive symptoms and low self-esteem of children) (p < 0.01). Conclusion: Children with overweight and obesity grow up in a family, school, and social context where more stressors are accumulated. This is also directly associated with worse emotional well-being. It is necessary to implement multidisciplinary prevention and intervention strategies in different changes (school, family, and health). This study is included in a project funded by the Ministry of Innovation and Science (PSI2011-23127). <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=emotional%20well-being" title=" emotional well-being"> emotional well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=psychopathology" title=" psychopathology"> psychopathology</a>, <a href="https://publications.waset.org/abstracts/search?q=stressful%20life%20events" title=" stressful life events"> stressful life events</a> </p> <a href="https://publications.waset.org/abstracts/118907/stressful-life-events-and-their-influence-on-childhood-obesity-and-emotional-well-being-cross-sectional-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/118907.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">127</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">6652</span> Factors Relating to Motivation to Change Behaviors in Individuals Who Are Overweight</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Teresa%20Wills">Teresa Wills</a>, <a href="https://publications.waset.org/abstracts/search?q=Geraldine%20Mccarthy"> Geraldine Mccarthy</a>, <a href="https://publications.waset.org/abstracts/search?q=Nicola%20Cornally"> Nicola Cornally</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is an emerging healthcare epidemic affecting virtually all age and socio-economic groups and is one of the most serious and prevalent diseases of the 21st century. It is a public health challenge because of its prevalence, associated costs and health effects. The increasing prevalence of obesity has created a social perception that overweight body sizes are healthy and normal. This normalization of obesity within our society and the acceptance of higher body weights have led to individuals being unaware of the reality of their weight status and gravity of this situation thus impeding recognition of obesity. Given the escalating global health problem of obesity and its co-morbidities, the need to re-appraise its management is more compelling than ever. It is widely accepted that the causes of obesity are complex and multi-factorial. Engagement of individuals in weight management programmes is difficult if they do not perceive they have a problem with their weight. Recognition of the problem is a key component of obesity management and identifying the main predictors of behaviour is key to designing health behaviour interventions. Aim: The aim of the research was to determine factors relating to motivation to change behaviours in individuals who perceive themselves to be overweight. Method: The research design was quantitative, correlational and cross-sectional. The design was guided by the Health Belief Model. Data were collected online using a multi-section and multi-item questionnaire, developed from a review of the theoretical and empirical research. A sample of 202 men and women who perceived themselves to be overweight participated in the research. Descriptive and inferential statistical analyses were employed to describe relationships between variables. Findings: Following multivariate regression analysis, perceived barriers to weight loss and perceived benefits of weight loss were significant predictors of motivation to change behaviour. The perceived barriers to weight loss which were significant were psychological barriers to weight loss (p = < 0.019) and environmental barriers to physical activity (p= < 0.032).The greatest predictor of motivation to change behaviour was the perceived benefits of weight loss (p < 0.001). Perceived susceptibility to obesity and perceived severity of obesity did not emerge as significant predictors in this model. Total variance explained by the model was 33.5%. Conclusion: Perceived barriers to weight loss and perceived benefits of weight loss are important determinants of motivation to change behaviour. These findings have important implications for health professionals to help inform their practice and for the development of intervention programmes to prevent and control obesity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motivation%20to%20change%20behaviours" title="motivation to change behaviours">motivation to change behaviours</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=predictors%20of%20behavior" title=" predictors of behavior"> predictors of behavior</a>, <a href="https://publications.waset.org/abstracts/search?q=interventions" title=" interventions"> interventions</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a> </p> <a href="https://publications.waset.org/abstracts/25631/factors-relating-to-motivation-to-change-behaviors-in-individuals-who-are-overweight" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25631.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">414</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">6651</span> A Literature Review on Nutritional Supplements for the Treatment of Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Monika%20Nuffer">Monika Nuffer</a>, <a href="https://publications.waset.org/abstracts/search?q=Wesley%20Nuffer"> Wesley Nuffer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem of obesity is one that continues to be faced in the United States health care system and across the developing world. Prescription medications are available, but are often very expensive with minimal insurance coverage. The over-the-counter diet aid industry is a robust one, selling billions of dollars in products every year. It is important for clinicians to understand the myriad of different nutritional supplements marketed for obesity, and to weigh the evidence behind these products. This manuscript outlines the most commonly used nutritional supplements currently marketed for weight loss, reviewing the evidence with a focus on the efficacy and safety of these products. <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=weight%20loss" title=" weight loss"> weight loss</a>, <a href="https://publications.waset.org/abstracts/search?q=herbal%20products" title=" herbal products"> herbal products</a>, <a href="https://publications.waset.org/abstracts/search?q=nutritional%20supplements" title=" nutritional supplements"> nutritional supplements</a> </p> <a href="https://publications.waset.org/abstracts/75338/a-literature-review-on-nutritional-supplements-for-the-treatment-of-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75338.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">241</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">6650</span> Evaluation of Systemic Immune-Inflammation Index in Obese Children </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> A growing list of cancers might be influenced by obesity. Obesity is associated with an increased risk for the occurrence and development of some cancers. Inflammation can lead to cancer. It is one of the characteristic features of cancer and plays a critical role in cancer development. C-reactive protein (CRP) is under evaluation related to the new and simple prognostic factors in patients with metastatic renal cell cancer. Obesity can predict and promote systemic inflammation in healthy adults. BMI is correlated with <em>hs</em>-CRP. In this study, SII index and CRP values were evaluated in children with normal BMI and those within the range of different obesity grades to detect the tendency towards cancer in pediatric obesity. A total of one hundred and ninety-four children; thirty-five children with normal BMI, twenty overweight (OW), forty-seven obese (OB) and ninety-two morbid obese (MO) participated in the study. Age- and sex-matched groups were constituted using BMI-for age percentiles. Informed consent was obtained. Ethical Committee approval was taken. Weight, height, waist circumference (C), hip C, head C and neck C of the children were measured. The complete blood count test was performed. C-reactive protein analysis was performed. Statistical analyses were performed using SPSS. The degree for statistical significance was p≤0.05. SII index values were progressively increasing starting from normal weight (NW) to MO children. There is a statistically significant difference between NW and OB as well as MO children. No significant difference was observed between NW and OW children, however, a correlation was observed between NW and OW children. MO constitutes the only group, which exhibited a statistically significant correlation between SII index and CRP. Obesity-related bladder, kidney, cervical, liver, colorectal, endometrial cancers are still being investigated. Obesity, characterized as a chronic low-grade inflammation, is a crucial risk factor for colon cancer. Elevated childhood BMI values may be indicative of processes leading to cancer, initiated early in life. Prevention of childhood adiposity may decrease the cancer incidence in adults. To authors’ best knowledge, this study is the first to introduce SII index values during obesity of varying degrees of severity. It is suggested that this index seems to affect all stages of obesity with an increasing tendency and may point out the concomitant status of obesity and cancer starting from very early periods of life. <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=C-reactive%20protein" title=" C-reactive protein"> C-reactive protein</a>, <a href="https://publications.waset.org/abstracts/search?q=systemic%20immune-inflammation%20index" title=" systemic immune-inflammation index"> systemic immune-inflammation index</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/91663/evaluation-of-systemic-immune-inflammation-index-in-obese-children" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91663.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">177</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">6649</span> Evaluation of the Weight-Based and Fat-Based Indices in Relation to Basal Metabolic Rate-to-Weight Ratio</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Orkide%20Donma">Orkide Donma</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20M.%20Donma"> Mustafa M. Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Basal metabolic rate is questioned as a risk factor for weight gain. The relations between basal metabolic rate and body composition have not been cleared yet. The impact of fat mass on basal metabolic rate is also uncertain. Within this context, indices based upon total body mass as well as total body fat mass are available. In this study, the aim is to investigate the potential clinical utility of these indices in the adult population. 287 individuals, aged from 18 to 79 years, were included into the scope of the study. Based upon body mass index values, 10 underweight, 88 normal, 88 overweight, 81 obese, and 20 morbid obese individuals participated. Anthropometric measurements including height (m), and weight (kg) were performed. Body mass index, diagnostic obesity notation model assessment index I, diagnostic obesity notation model assessment index II, basal metabolic rate-to-weight ratio were calculated. Total body fat mass (kg), fat percent (%), basal metabolic rate, metabolic age, visceral adiposity, fat mass of upper as well as lower extremities and trunk, obesity degree were measured by TANITA body composition monitor using bioelectrical impedance analysis technology. Statistical evaluations were performed by statistical package (SPSS) for Windows Version 16.0. Scatterplots of individual measurements for the parameters concerning correlations were drawn. Linear regression lines were displayed. The statistical significance degree was accepted as p < 0.05. The strong correlations between body mass index and diagnostic obesity notation model assessment index I as well as diagnostic obesity notation model assessment index II were obtained (p < 0.001). A much stronger correlation was detected between basal metabolic rate and diagnostic obesity notation model assessment index I in comparison with that calculated for basal metabolic rate and body mass index (p < 0.001). Upon consideration of the associations between basal metabolic rate-to-weight ratio and these three indices, the best association was observed between basal metabolic rate-to-weight and diagnostic obesity notation model assessment index II. In a similar manner, this index was highly correlated with fat percent (p < 0.001). Being independent of the indices, a strong correlation was found between fat percent and basal metabolic rate-to-weight ratio (p < 0.001). Visceral adiposity was much strongly correlated with metabolic age when compared to that with chronological age (p < 0.001). In conclusion, all three indices were associated with metabolic age, but not with chronological age. Diagnostic obesity notation model assessment index II values were highly correlated with body mass index values throughout all ranges starting with underweight going towards morbid obesity. This index is the best in terms of its association with basal metabolic rate-to-weight ratio, which can be interpreted as basal metabolic rate unit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=basal%20metabolic%20rate" title="basal metabolic rate">basal metabolic rate</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=children" title=" children"> children</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20obesity%20notation%20model%20assessment%20index" title=" diagnostic obesity notation model assessment index"> diagnostic obesity notation model assessment index</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/101857/evaluation-of-the-weight-based-and-fat-based-indices-in-relation-to-basal-metabolic-rate-to-weight-ratio" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101857.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">150</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">6648</span> Role of Pakistani Physicians in the Pharmacotherapy of Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sadia%20Suri%20Kashif">Sadia Suri Kashif</a>, <a href="https://publications.waset.org/abstracts/search?q=Raheeda%20Fatima"> Raheeda Fatima</a>, <a href="https://publications.waset.org/abstracts/search?q=Maqsood%20Ahmed%20Khan"> Maqsood Ahmed Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Purpose of the study: The objective of this research was to determine the perception of Pakistani physicians (whether primary care, specialists or residents) in Karachi, being one of the largest and highly populated cities of Pakistan, regarding clinical approaches towards diet, exercise, and therapy in obese patients. This research determines their understanding of obesity and employability of obesity management in their daily practices. Research methodology: This is a questionnaire-based survey. A minimum of 300 questionnaires (N=300) were distributed and filled by practicing physicians in a random selection of medical setups in Karachi. Randomly 246 physicians responded to the survey. The survey tested their views regarding weight management, importance of general awareness and their strategies to control weight. Results: In the first part of survey the physicians responded to almost 66% regarding the seriousness of obesity management with advising diet modification, physical exercise and decreasing calorie intake; 57% failed to employ Body Mass Index and Waist Hip Ratio as weight measurement tools in their daily practice; 50% disagreed on using pharmacotherapy as an option; 67% were not sure about the proper dosage and indication of anti-obesity medication while almost same disagreed on using surgical options for management of obesity; 83.3% physicians agreed on the increased obesity pandemic in Pakistan. Conclusion: The findings indicate that there is a gap between awareness and knowledge among Pakistani practicing physicians regarding pharmacotherapy for obesity. There is a need to frequently update latest guidelines to help manage this condition, which is becoming more prevalent in our country day by day. Physicians should be obligated to use updated knowledge for managing obesity. <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=physicians" title=" physicians"> physicians</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=weight%20management" title=" weight management"> weight management</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity%20awareness" title=" obesity awareness"> obesity awareness</a> </p> <a href="https://publications.waset.org/abstracts/88445/role-of-pakistani-physicians-in-the-pharmacotherapy-of-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88445.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">170</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">6647</span> How to Evaluate Resting and Walking Energy Expenditures of Individuals with Different Body Mass Index</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zeynep%20Altinkaya">Zeynep Altinkaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ugur%20Dal"> Ugur Dal</a>, <a href="https://publications.waset.org/abstracts/search?q=Figen%20Dag"> Figen Dag</a>, <a href="https://publications.waset.org/abstracts/search?q=Dilan%20D.%20Koyuncu"> Dilan D. Koyuncu</a>, <a href="https://publications.waset.org/abstracts/search?q=Merve%20Turkegun"> Merve Turkegun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is defined as abnormal fat-tissue accumulation as a result of imbalance between energy intake and expenditure. Since 50-70% daily energy expenditure of sedantary individuals is consumed as resting energy expenditure (REE), it takes an important place in the evaluation of new methods for obesity treatment. Also, it is known that walking is a prevalent activity in the prevention of obesity. The primary purpose of this study is to evaluate and compare the resting and walking energy expenditures of individuals with different body mass index (BMI). In this research, 4 groups are formed as underweight (BMI < 18,5 kg/m2), normal (BMI=18,5-24,9 kg/m2), overweight (BMI=25-29,9 kg/m2), and obese (BMI ≥ 30) according to BMI of individuals. 64 healthy young adults (8 man and 8 woman per group, age 18-30 years) with no known gait disabilities were recruited in this study. The body compositions of all participants were measured via bioelectric empedance analysis method. The energy expenditure of individuals was measured with indirect calorimeter method as inspired and expired gas samples are collected breath-by-breath through a special facemask. The preferred walking speed (PWS) of each subject was determined by using infrared sensors placed in 2nd and 12th meters of 14 m walkway. The REE was measured for 15 min while subjects were lying, and walking energy expenditure was measured during subjects walk in their PWS on treadmill. The gross REE was significantly higher in obese subjects compared to underweight and normal subjects (p < 0,0001). When REE was normalized to body weight, it was higher in underweight and normal groups than overweight and obese groups (p < 0,0001). However, when REE was normalized to fat-free mass, it did not differ significantly between groups. The gross walking energy expenditure in PWS was higher in obese and overweight groups than underweight and normal groups (p < 0,0001). The regression coefficient between gross walking energy expenditure and body weight was significiant among normal and obese groups (p < 0.05). It accounted for 70,5% of gross walking energy expenditure in normal group, and 57,9% of gross walking energy expenditure in obese group. It is known that obese individuals have more metabolically inactive fat-tissue compared to other groups. While excess fat-tissue increases total body weight, it does not contribute much to REE. Therefore, REE results normalized to body weight could lead to misleading results. In order to eliminate fat-mass effect on REE of obese individuals, REE normalized to fat-free mass should be used to acquire more accurate results. On the other hand, the fat-mass increasement raises energy requirement while walking to retain the body balance. Thus, gross walking energy expenditure should be taken into consideration for the evaluating energy expenditure of walking. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20composition" title="body composition">body composition</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=resting%20energy%20expenditure" title=" resting energy expenditure"> resting energy expenditure</a>, <a href="https://publications.waset.org/abstracts/search?q=walking%20energy%20expenditure" title=" walking energy expenditure"> walking energy expenditure</a> </p> <a href="https://publications.waset.org/abstracts/48889/how-to-evaluate-resting-and-walking-energy-expenditures-of-individuals-with-different-body-mass-index" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48889.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">6646</span> The Endocrinology of Obesity and Dejenerative Joint Disease</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kebret%20Kebede">Kebret Kebede</a>, <a href="https://publications.waset.org/abstracts/search?q=Anthony%20Scinta"> Anthony Scinta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is the most prevalent global problem that continues to rise at alarming rates both in the industrialized and developing countries. Adipose tissue is an endocrine tissue that secretes numerous chemical signals, hormones, lipids, cytokines and coagulation factors as well as prompting insulin resistance which is a primary contributor to Type II Diabetes- one of its most common adverse effects on health. Other hormones whose levels are linked to obesity and nutritional state are leptin, IGF-1, and adiponectin. Several studies indicate that obesity is the leading cause of high levels of cholesterol that leads to fatty liver disease, gallstones, hypertension, increased risk for cancer and degenerative joint disease that primarily affects the weight bearing joints of the lower extremities. The activation of inflammatory pathways promotes synovial pathology that results in accelerated degeneration of the joints. The study examines the prevalence of obesity in the US female population in comparison to that of the developing world and its emergence as a significant and potentially modifiable risk factor in degenerative disease of the hip and knee joints that has resulted in staggering healthcare cost. Studies have shown that as the prevalence of obesity rises, we continue to see a rise in degenerative joint disease. The percentage of arthritis cases linked directly to obesity has risen from 3 percent in 1971 to 18 percent in 2002. A person with obesity is around 60 percent more likely to develop arthritis than someone of normal body weight. In women, obesity is associated with increased mortality from breast, cervical, endometrial and ovarian cancer that may accompany debilitating joint diseases and restricted mobility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity" title="obesity">obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=endocrine" title=" endocrine"> endocrine</a>, <a href="https://publications.waset.org/abstracts/search?q=degenerative" title=" degenerative"> degenerative</a>, <a href="https://publications.waset.org/abstracts/search?q=mortality" title=" mortality"> mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=joint%20diseases" title=" joint diseases"> joint diseases</a>, <a href="https://publications.waset.org/abstracts/search?q=cancer" title=" cancer"> cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=debilitating" title=" debilitating"> debilitating</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a> </p> <a href="https://publications.waset.org/abstracts/18469/the-endocrinology-of-obesity-and-dejenerative-joint-disease" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18469.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">449</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6645</span> Co-Administration Effects of Conjugated Linoleic Acid and L-Carnitine on Weight Gain and Biochemical Profile in Diet Induced Obese Rats</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maryam%20Nazari">Maryam Nazari</a>, <a href="https://publications.waset.org/abstracts/search?q=Majid%20Karandish"> Majid Karandish</a>, <a href="https://publications.waset.org/abstracts/search?q=Alihossein%20Saberi"> Alihossein Saberi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity as a global health challenge motivates pharmaceutical industries to produce anti-obesity drugs. However, effectiveness of these agents is remained unclear. Because of popularity of dietary supplements, the aim of this study was tp investigate the effects of Conjugated Linoleic Acid (CLA) and L-carnitine (LC) on serum glucose, triglyceride, cholesterol and weight changes in diet induced obese rats. 48 male Wistar rats were randomly divided into two groups: Normal fat diet (n=8), and High fat diet (HFD) (n=32). After eight weeks, the second group which was maintained on HFD until the end of study, was subdivided into four categories: a) 500 mg Corn Oil (as control group), b) 500 mg CLA, c) 200 mg LC, d) 500 mg CLA+ 200 mg LC.All doses are planned per kg body weights, which were administered by oral gavage for four weeks. Body weights were measured and recorded weekly by means of a digital scale. At the end of the study, blood samples were collected for biochemical markers measurement. SPSS Version 16 was used for statistical analysis. At the end of 8<sup>th</sup> week, a significant difference in weight was observed between HFD and NFD group. After 12 weeks, LC significantly reduced weight gain by 4.2%. Trend of weight gain in CLA and CLA+LC groups was insignificantly decelerated. CLA+LC reduced triglyceride level significantly, but just CLA had significant influence on total cholesterol and insignificant decreasing effect on FBS. Our results showed that an obesogenic diet in a relative short time led to obesity and dyslipidemia which can be modified by LC and CLA to some extent. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conjugated%20linoleic%20acid" title="conjugated linoleic acid">conjugated linoleic acid</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20fat%20diet" title=" high fat diet"> high fat diet</a>, <a href="https://publications.waset.org/abstracts/search?q=L-Carnitine" title=" L-Carnitine"> L-Carnitine</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/83959/co-administration-effects-of-conjugated-linoleic-acid-and-l-carnitine-on-weight-gain-and-biochemical-profile-in-diet-induced-obese-rats" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83959.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">157</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">6644</span> Prevalence of Obesity in Kuwait: A Case Study among Kuwait University Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Alnasrallah">Mohammad Alnasrallah</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Almatar"> Muhammad Almatar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study seeks to understand the relationship between the effect of geography and obesity prevalence among Kuwait University students. The sample involved 735 participants, 231 male, and 504 females, where there is a high percentage of them are overweight and obese. The percentage of overweight is 21% (BMI >25 - 30) while the percentage of obesity is 13.7% (BMI > 30). Both overweight and obese people account for 34.7%. In the study area, there are 327 fast food restaurants located in different places of in the urban area. This study uses the Geographic Information System to analyze the distribution of obesity and fast food restaurants. The study found that within half kilometers of fast food outlets, there are 33% of normal weight (BMI < 25), 30% of overweight while for the obese people there are 43 %, which shows that obesity is linked to the location of fast food restaurants. One of the significant tools that were used in this study hot and cold spots. The study found that areas of hot spots of fast food restaurants tend to be located in areas of hot spots of obese people. In conclusion, studying the prevalence of obesity from geographical perspective help to understand this public health issue and its relation to the effect of geography. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obesity%20prevalence" title="obesity prevalence">obesity prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20food" title=" fast food"> fast food</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuwait" title=" Kuwait"> Kuwait</a> </p> <a href="https://publications.waset.org/abstracts/97952/prevalence-of-obesity-in-kuwait-a-case-study-among-kuwait-university-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97952.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">215</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6643</span> Role of Bariatric Surgery in Polycystic Ovarian Syndrome &Infertility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahuja%20Ashish">Ahuja Ashish</a>, <a href="https://publications.waset.org/abstracts/search?q=Nain%20Prabhdeep%20Singh"> Nain Prabhdeep Singh </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Polycystic ovarian syndrome(PCOS) is the most common endocrine disorder among women of reproductive age.Pcos encompasses a broad spectrum of signs&symptoms of ovary dysfunction,obesity,blood pressure,insulin resistance & infertility. Bariatric Surgery can be an effective means of weight loss in Pcos & curing infertility. Materials and Methods: 15 female patients were enrolled in the study from 2012-2014.66%(n=10) were in age group of 20-25 years,33%(n=5) were in age group of 25-33 years who underwent. Bariatric surgery in form of Laproscopic sleeve Gastrectomy(LSG)& Roux-en-Y gastric bypass. LSG 73%(n=11), RYGB26% (n=4). Results: There was a significant improvement in obesity (60% excess weight loss)over 1 year after bariatric surgery, in 12 patients there was gross improvement in restoration of menstrual cycle who had irregular menstrual cycle. In 80% patients the serum insulin level showed normal value. Over two years 8 patients become pregnant. Conclusions: 1)Obese women with Pcos maybe able to conceive after Bariatric Surgery. 2) Women with Pcos should only consider bariatric surgery if they were already considering it for other reasons to treat obesity, blood pressure & other co-morbid conditions. <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=bariatric%20surgery" title=" bariatric surgery"> bariatric surgery</a>, <a href="https://publications.waset.org/abstracts/search?q=polycystic%20ovarian%20syndrome" title=" polycystic ovarian syndrome"> polycystic ovarian syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=infertility" title=" infertility"> infertility</a> </p> <a href="https://publications.waset.org/abstracts/43543/role-of-bariatric-surgery-in-polycystic-ovarian-syndrome-infertility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43543.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">292</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">6642</span> The Effects of Acupoint Catgut Embedding for Weight Control in Mice Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chanya%20Inprasit">Chanya Inprasit</a>, <a href="https://publications.waset.org/abstracts/search?q=Ching-Liang%20Hsieh"> Ching-Liang Hsieh</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Wen%20Lin"> Yi-Wen Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity (OB) is a hazardous global health problem that has been increasing in prevalence, more severely in last decade. It is the mainly resultant from the imbalance between food consumption and energy expenditure, which is concordant with a modern lifestyle, implying an increase in calories with poorer quality of food intake accompanied by a decrease in physical activities. Obesity does not concern the appearance only but is also a major factor contributing to poor physiology, psychology, society and economic issues. Moreover, OB induces low-grade inflammation in the body through the regulatory effect it enacts on the adipocyte function. Various alternative treatments were investigated for body weight control, including Acupoint Catgut Embedding (ACE). ACE is the implantation of absorbable catgut sutures at specific acupoints, displaying durable and potent stimulation and thereby reducing the treatment frequency. Our study utilized a mouse model to exclude any psychological factors of OB and ACE treatment. High-fat diet and body weight were measured once a week before subjects in ACE and Sham group received the ACE treatment or placebo treatment. We hypothesized that ACE can control body weight through the interaction of the TRPV1 pathways, as TRPV1 accordingly responds to inflammatory factors. The results of body weight variation show a significant decrease in body weight in ACE group compared with the baseline of control and Sham group. Meanwhile, converse results were explored in TRPV1 knockout mice, where a significant maintenance of normal body weight throughout the experiment period was observed. There was no significant difference in food consumption of each group. These finding indicated that TRPV1 pathways and its associated pathways may be involved in the maintenance of body weight, which can be controlled by ACE treatment of genetic manipulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acupoint%20catgut%20embedding" title="acupoint catgut embedding">acupoint catgut embedding</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=hypothalamus" title=" hypothalamus"> hypothalamus</a>, <a href="https://publications.waset.org/abstracts/search?q=TRPV1" title=" TRPV1"> TRPV1</a> </p> <a href="https://publications.waset.org/abstracts/84666/the-effects-of-acupoint-catgut-embedding-for-weight-control-in-mice-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84666.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">151</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">6641</span> Impact of Obesity on Female Fertility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Chennai">A. Chennai</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Yahia"> M. Yahia</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Boussenan"> H. Boussenan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Our study was designed to highlight changes in certain biochemical parameters such as (CH, TG, HDL, TGO, TGP, LDL, and CRP), hormones (FSH, LH, PRL, TSH, and leptin), in women who suffer from over weight and fertile controls as well as the research for potential pathophysiological link between obesity and infertility in this population of women. This practical work has been focused on a population of 24 over weight infertile women, compared to control subjects without any pathology causing disturbance parameters to be studied to determine the contribution of obesity in the etiology of infertility. The assay results revealed a highly significant difference between the two groups in the serum levels of CH, TG, HDL, and TGO TGP (P <0.0001) as well as the rate of LDL (p=0.0017) and CRP (p=0.02). Hormonal profile also shows a significant difference between the two groups (P<0.0001) for LH and leptin but no difference was found for serum TSH. A significant correlation between leptin and FSH, LH, and FSH, age and LH, PRL and age and between HDL and CRP. The present study suggests that obesity is associated with infertility, but no direct pathophysiological link between obesity and infertility has been determined. More in-depth studies are needed to determine the exact mechanism by which overweight leads to female infertility. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fertility" title="fertility">fertility</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=hormones" title=" hormones"> hormones</a>, <a href="https://publications.waset.org/abstracts/search?q=biochemical" title=" biochemical"> biochemical</a>, <a href="https://publications.waset.org/abstracts/search?q=pathophysiological" title=" pathophysiological "> pathophysiological </a> </p> <a href="https://publications.waset.org/abstracts/15480/impact-of-obesity-on-female-fertility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15480.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">412</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">6640</span> Association of Overweight and Obesity with Breast Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Ghasemlouei">Amir Ghasemlouei</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Khalaj"> Alireza Khalaj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In women, cancer of the breast is one of the most common incident cancer and cause of death from cancer .we reviewed the prevalence of obesity and its association with breast cancer. In this study, a total of 25 articles regarding the subject matter of the article have been presented in which 640 patients were examined that 320 patients with breast cancer and 320 were controls. The distribution of breast cancer patients and controls with respect to their anthropometric indices in patients with higher weight, which was statistically significant (60.2 ± 10.2 kg) compared with control group (56.1 ± 11.3 kg). The body mass index of patients was (26.06+/-3.42) and significantly higher than the control group (24.1+/-1.7). Obesity leads to increased levels of adipose tissue in the body that can be stored toxins and carcinogens to produce a continuous supply. Due to the high level of fat and the role of estrogen in a woman is endogenous estrogen of the tumor and regulate the activities of growth steroids, obesity is a risk factor for breast cancer is confirmed. Our study and other studies show that obesity is a risk factor for breast cancer. And with a weight loss intervention for breast cancer can be prevented in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title="breast cancer">breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=review%20study" title=" review study"> review study</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a> </p> <a href="https://publications.waset.org/abstracts/16945/association-of-overweight-and-obesity-with-breast-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16945.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">453</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6639</span> Family History of Obesity and Risk of Childhood Overweight and Obesity: A Meta-Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martina%20Kanciruk">Martina Kanciruk</a>, <a href="https://publications.waset.org/abstracts/search?q=Jac%20J.%20W.%20Andrews"> Jac J. W. Andrews</a>, <a href="https://publications.waset.org/abstracts/search?q=Tyrone%20Donnon"> Tyrone Donnon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study was to determine the significance of history of obesity for the development of childhood overweight and/or obesity. Accordingly, a systematic literature review of English-language studies published from 1980 to 2012 using the following data bases: MEDLINE, PsychINFO, Cochrane Database of Systematic Reviews, and Dissertation Abstracts International was conducted. The following terms were used in the search: pregnancy, overweight, obesity, family history, parents, childhood, risk factors. Eleven studies of family history and obesity conducted in Europe, Asia, North America, and South America met the inclusion criteria. A meta-analysis of these studies indicated that family history of obesity is a significant risk factor of overweight and /or obesity in offspring; risk for offspring overweight and/or obesity associated with family history varies depending of the family members included in the analysis; and when family history of obesity is present, the offspring are at greater risk for developing obesity or overweight. In addition, the results from moderator analyses suggest that part of the heterogeneity discovered between the studies can be explained by the region of world that the study occurred in and the age of the child at the time of weight assessment. <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=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=family%20history" title=" family history"> family history</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=meta-analysis" title=" meta-analysis"> meta-analysis</a> </p> <a href="https://publications.waset.org/abstracts/4316/family-history-of-obesity-and-risk-of-childhood-overweight-and-obesity-a-meta-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4316.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">520</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">6638</span> Obesity, Metabolic Syndrome and Related Risk Behaviors Among Thai Medical Students of Thammasat University</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Patcharapa%20Thaweekul">Patcharapa Thaweekul</a>, <a href="https://publications.waset.org/abstracts/search?q=Paskorn%20Sritipsukho"> Paskorn Sritipsukho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: During the training period of the 6-year medical curriculum, medical students seem to have many risk behaviors of developing obesity. This study aims to demonstrate the prevalence and risk behavior of obesity and related metabolic disorders among the final-year medical students of Thammasat University as well as the change in nutritional status during studying program. Methods: 123 participants were asked to complete the self-report questionnaires. Weight, height, waist circumference and blood pressure were obtained. Blood samples were drawn for total cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides and plasma glucose. Body weight and height of the medical students in the first year were obtained from the medical report at the entry. Results: The prevalence of overweight and obesity at the entry to medical school was 22.0% and increased to 30.1% in the final year. Two obese students (5.4%) was diagnosed as metabolic syndrome. During 6-year curriculum, the BMI gained in male medical students were more significant as compared to female students (1.76±1.74 and 0.43±1.82 kg/m2, respectively; p <.001). The current BMI is significantly correlated with the BMI at entry. Serum LDL-C in the overweight/obese students was significantly higher as compared to the normal weight and underweight group. Sleep deprivation was a significantly frequent behavior in the overweight/obese students. Conclusion: Medical students, as having high-risk behaviors, should be assessed for the nutritional status and metabolic parameters. Medical schools should promote the healthy behaviors to increase the healthy eating and exercise habits and reduced the risk behaviors among them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=medical%20students" title="medical students">medical students</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>, <a href="https://publications.waset.org/abstracts/search?q=risk%20behaviors" title=" risk behaviors"> risk behaviors</a> </p> <a href="https://publications.waset.org/abstracts/61340/obesity-metabolic-syndrome-and-related-risk-behaviors-among-thai-medical-students-of-thammasat-university" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61340.pdf" target="_blank" class="btn btn-primary 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