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adiposity</title> <meta name="description" content="Search results for: adiposity"> <meta name="keywords" content="adiposity"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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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="adiposity"> <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> 23</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: adiposity</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">23</span> Evaluation of Bone and Body Mineral Profile in Association with Protein Content, Fat, Fat-Free, Skeletal Muscle Tissues According to Obesity Classification among Adult Men</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 associated with increased fat mass as well as fat percentage. Minerals are the elements, which are of vital importance. In this study, the relationships between body as well as bone mineral profile and the percentage as well as mass values of fat, fat-free portion, protein, skeletal muscle were evaluated in adult men with normal body mass index (N-BMI), and those classified according to different stages of obesity. A total of 103 adult men classified into five groups participated in this study. Ages were within 19-79 years range. Groups were N-BMI (Group 1), overweight (OW) (Group 2), first level of obesity (FLO) (Group 3), second level of obesity (SLO) (Group 4) and third level of obesity (TLO) (Group 5). Anthropometric measurements were performed. BMI values were calculated. Obesity degree, total body fat mass, fat percentage, basal metabolic rate (BMR), visceral adiposity, body mineral mass, body mineral percentage, bone mineral mass, bone mineral percentage, fat-free mass, fat-free percentage, protein mass, protein percentage, skeletal muscle mass and skeletal muscle percentage were determined by TANITA body composition monitor using bioelectrical impedance analysis technology. Statistical package (SPSS) for Windows Version 16.0 was used for statistical evaluations. The values below 0.05 were accepted as statistically significant. All the groups were matched based upon age (p > 0.05). BMI values were calculated as 22.6 ± 1.7 kg/m<sup>2</sup>, 27.1 ± 1.4 kg/m<sup>2</sup>, 32.0 ± 1.2 kg/m<sup>2</sup>, 37.2 ± 1.8 kg/m<sup>2</sup>, and 47.1 ± 6.1 kg/m<sup>2</sup> for groups 1, 2, 3, 4, and 5, respectively. Visceral adiposity and BMR values were also within an increasing trend. Percentage values of mineral, protein, fat-free portion and skeletal muscle masses were decreasing going from normal to TLO. Upon evaluation of the percentages of protein, fat-free portion and skeletal muscle, statistically significant differences were noted between NW and OW as well as OW and FLO (p < 0.05). However, such differences were not observed for body and bone mineral percentages. Correlation existed between visceral adiposity and BMI was stronger than that detected between visceral adiposity and obesity degree. Correlation between visceral adiposity and BMR was significant at the 0.05 level. Visceral adiposity was not correlated with body mineral mass but correlated with bone mineral mass whereas significant negative correlations were observed with percentages of these parameters (p < 0.001). BMR was not correlated with body mineral percentage whereas a negative correlation was found between BMR and bone mineral percentage (p < 0.01). It is interesting to note that mineral percentages of both body as well as bone are highly affected by the visceral adiposity. Bone mineral percentage was also associated with BMR. From these findings, it is plausible to state that minerals are highly associated with the critical stages of obesity as prominent parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bone" title="bone">bone</a>, <a href="https://publications.waset.org/abstracts/search?q=men" title=" men"> men</a>, <a href="https://publications.waset.org/abstracts/search?q=minerals" title=" minerals"> minerals</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/106542/evaluation-of-bone-and-body-mineral-profile-in-association-with-protein-content-fat-fat-free-skeletal-muscle-tissues-according-to-obesity-classification-among-adult-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106542.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">22</span> Effects of Continuous Training on Anthropometric Characteristics of Adolescents in Kano, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20S.%20Adeyanju">Emmanuel S. Adeyanju</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study assessed the effects of continuous training on anthropometric characteristics of adolescents in Kano, Nigeria. The anthropometric measures of per cent body fat (%BF), body mass index (BMI), conicity index (CI) and waist-to-hip ratio (WHR) were selected because of their roles in increased adiposity and favourable cardiovascular disease (CVD) factor profiles in children and adolescence. The international standards and procedures were followed in all the measurements. A total of thirty (30) subjects (M=15; F=15), selected at random, were divided into two groups; one training (M=10; F=10) and the other control (M=5; F=5). Both groups were tested before training, at six (6) and 12 weeks in all the listed variables. The training group had 12 weeks continuous training which involved running round the standard 400 m track of the college following standard procedures; while the control group did not. The findings revealed significant sex-specific reductions in %BF (F=610.482 ˂ 0.05), BMI (F=73.860 ˂ 0.05), WHR (F=49.756 ˂ 0.05); however, no significant training effect on CI (F=1.855 ˃ 0.05) and WHR (F=1.956 ˃ 0.05) was found. Greater modifications found in females than in males (except in CI and WHR) due to training were probably related to their initial level of fitness and enzymatic modifications at subcellular level during training. The result also revealed significant relationship between the modifications in %BF, BMI and WHR but failed to establish any between CI and other adiposity measures. Thus, to avert the consequences of obesity and overweight, the declining fitness level of adolescents should be checked by ensuring they engaged in regular moderate-to-vigorous physical activity (MVPA) programmes. Such a childhood habit of exercise developed early in life will have a carry-over value into adult life and improve the quality of adult population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adiposity" title="adiposity">adiposity</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=conicity" title=" conicity"> conicity</a>, <a href="https://publications.waset.org/abstracts/search?q=continuous%20training" title=" continuous training"> continuous training</a> </p> <a href="https://publications.waset.org/abstracts/36126/effects-of-continuous-training-on-anthropometric-characteristics-of-adolescents-in-kano-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36126.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">451</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">21</span> The Effects of Vitamin D Supplementation on Anthropometric Indicators of Adiposity and Fat Distribution in Children and Adolescents: A Systematic Review and Meta-Analysis of Randomized Controlled Trials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Simin%20Zarea%20Karizi">Simin Zarea Karizi</a>, <a href="https://publications.waset.org/abstracts/search?q=Somaye%20Fatahi"> Somaye Fatahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Amirhossein%20Hosseni"> Amirhossein Hosseni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: There are conflicting findings regarding the effect of vitamin D supplementation on obesity-related factors. This study aimed to investigate the effect of vitamin D supplementation on changes in anthropometric indicators of adiposity and fat distribution in children and adolescents. Methods: Original databases were searched using standard keywords to identify all controlled trials investigating the effects of vitamin D supplementation on obesity-related factors in children and adolescents. Pooled weighted mean difference and 95% confidence intervals were achieved by random-effects model analysis. Results: Fourteen treatment arms were included in this systematic review and meta-analysis. The quantitative meta-analysis revealed no significant effect of vitamin D supplement on BMI (-0.01 kg/m2; 95% CI: -0.09, 0.12; p= 0.74; I2=0.0%), BMI z score (0.02; 95% CI: -0.04, 0.07; p= 0.53; I2=0.0%) and fat mass (0.07%; 95% CI: -0.09 to 0.24; p= 0.38; I2=31.2%). However, the quantitative meta-analysis displayed a significant effect of vitamin D supplementation on WC compared with the control group (WMD=-1.17 cm, 95% CI: -2.05, -0.29, p=0.009; I2=32.0 %). It seems that this effect was greater in healthy children with duration>12 weeks, dose<=400 IU and baseline less than 50 nmol/l vitamin D than others. Conclusions: Our findings suggest that vitamin D supplementation may be a protective factor of abdominal obesity and should be evaluated on an individual basis in clinical practice. <p class="card-text"><strong>Keywords:</strong> <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=vitamin%20D" title=" vitamin D"> vitamin D</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=children" title=" children"> children</a>, <a href="https://publications.waset.org/abstracts/search?q=adolescent" title=" adolescent"> adolescent</a> </p> <a href="https://publications.waset.org/abstracts/188366/the-effects-of-vitamin-d-supplementation-on-anthropometric-indicators-of-adiposity-and-fat-distribution-in-children-and-adolescents-a-systematic-review-and-meta-analysis-of-randomized-controlled-trials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188366.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">27</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">20</span> Relationship between Conjugated Linoleic Acid Intake, Biochemical Parameters and Body Fat among Adults and Elderly</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marcela%20Menah%20de%20Sousa%20Lima">Marcela Menah de Sousa Lima</a>, <a href="https://publications.waset.org/abstracts/search?q=Victor%20Ushijima%20Leone"> Victor Ushijima Leone</a>, <a href="https://publications.waset.org/abstracts/search?q=Natasha%20Aparecida%20Grande%20de%20Franca"> Natasha Aparecida Grande de Franca</a>, <a href="https://publications.waset.org/abstracts/search?q=Barbara%20Santarosa%20Emo%20Peters"> Barbara Santarosa Emo Peters</a>, <a href="https://publications.waset.org/abstracts/search?q=Ligia%20Araujo%20Martini"> Ligia Araujo Martini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Conjugated linoleic acid (CLA) intake has been constantly related to benefits to human health since having a positive effect on reducing body fat. The aim of the present study was to investigate the association between CLA intake and biochemical measurements and body composition of adults and the elderly. Subjects/Methods: 287 adults and elderly participants in an epidemiological study in Sao Paulo Brazil, were included in the present study. Participants had their dietary data obtained by two non-consecutive 24HR, a body composition assessed by dual-energy absorptiometry exam (DXA), and a blood collection. Mean differences and a correlation test was performed. For all statistical tests, a significance of 5% was considered. Results: CLA intake showed a positive correlation with HDL-c levels (r = 0.149; p = 0.011) and negative with VLDL-c levels (r = -0.134; p = 0.023), triglycerides (r = -0.135; p = 0.023) and glycemia (r = -0.171; p = 0.004), as well as negative correlation with visceral adipose tissue (VAT) (r = -0.124, p = 0.036). Evaluating individuals in two groups according to VAT values, a significant difference in CLA intake was observed (p = 0.041), being the group with the highest VAT values, the one with the lowest fatty acid intake. Conclusions: This study suggests that CLA intake is associated with a better lipid profile and lower visceral adipose tissue volume, which contributes to the investigation of the effects of CLA on obesity parameters. However, it is necessary to investigate the effects of CLA from milk and dairy products in the control adiposity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adiposity" title="adiposity">adiposity</a>, <a href="https://publications.waset.org/abstracts/search?q=dairy%20products" title=" dairy products"> dairy products</a>, <a href="https://publications.waset.org/abstracts/search?q=diet" title=" diet"> diet</a>, <a href="https://publications.waset.org/abstracts/search?q=fatty%20acids" title=" fatty acids"> fatty acids</a> </p> <a href="https://publications.waset.org/abstracts/116449/relationship-between-conjugated-linoleic-acid-intake-biochemical-parameters-and-body-fat-among-adults-and-elderly" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/116449.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">19</span> The Correlation between Body Composition and Spinal Alignment in Healthy Young Adults</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ferruh%20%20Taspinar">Ferruh Taspinar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ismail%20Saracoglu"> Ismail Saracoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Emrah%20Afsar"> Emrah Afsar</a>, <a href="https://publications.waset.org/abstracts/search?q=Eda%20O.%20%20Okur"> Eda O. Okur</a>, <a href="https://publications.waset.org/abstracts/search?q=Gulce%20K.%20%20Seyyar"> Gulce K. Seyyar</a>, <a href="https://publications.waset.org/abstracts/search?q=Gamze%20Kurt"> Gamze Kurt</a>, <a href="https://publications.waset.org/abstracts/search?q=Betul%20Taspinar"> Betul Taspinar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although it is thought that abdominal adiposity is one of the risk factor for postural deviation, such as increased lumbar lordosis, the body mass index is not sufficient to indicate effects of abdominal adiposity on spinal alignment and postural changes. The aim of this study was to investigate the correlation with detailed body composition and spine alignment in healthy young adults. This cross-sectional study was conducted with sixty seven healthy volunteers (37 men and 30 women) whose ages ranged between 19 and 27 years. All participants’ sagittal spinal curvatures of lumbar and thoracic region were measured via Spinal mouse® (Idiag, Fehraltorf, Switzerland). Also, body composition analysis (whole body fat ratio, whole body muscle ratio, abdominal fat ratio, and trunk muscle ratio) estimation by means of bioelectrical impedance was evaluated via Tanita Bc 418 Ma Segmental Body Composition Analyser (Tanita, Japan). Pearson’s correlation was used to analysis among the variables. The mean lumbar lordosis and thoracic kyphosis angles were 21.02°±9.39, 41.50°±7.97, respectively. Statistically analysis showed a significant positive correlation between whole body fat ratio and lumbar lordosis angle (r=0.28, p=0.02). Similarly, there was a positive correlation between abdominal fat ratio and lumbar lordosis angle (r=0.27, p=0.03). The thoracic kyphosis angle showed also positive correlation with whole body fat ratio (r=0.33, p=0.00) and abdominal fat ratio (r=0.40, p=0.01). The whole body muscle ratio showed negative correlation between lumbar lordosis (r=-0.28, p=0.02) and thoracic kyphosis angles (r=-0.33, p=0.00), although there was no statistically correlation between trunk muscle ratio, lumbar and thoracic curvatures (p>0.05). The study demonstrated that an increase of fat ratio and decrease of muscle ratio in abdominal region or whole body shifts the spinal alignment which may adversely affect the spinal loading. Therefore, whole body composition should be taken into account in spine rehabilitation. <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=lumbar%20lordosis" title=" lumbar lordosis"> lumbar lordosis</a>, <a href="https://publications.waset.org/abstracts/search?q=spinal%20alignment" title=" spinal alignment"> spinal alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=thoracic%20kyphosis" title=" thoracic kyphosis"> thoracic kyphosis</a> </p> <a href="https://publications.waset.org/abstracts/60279/the-correlation-between-body-composition-and-spinal-alignment-in-healthy-young-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60279.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">386</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">18</span> Exploring the Food Environments and Their Influence on Food Choices of Working Adults</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Deepa%20Shokeen">Deepa Shokeen</a>, <a href="https://publications.waset.org/abstracts/search?q=Bani%20Tamber%20Aeri"> Bani Tamber Aeri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Food environments are believed to play a significant role in the obesity epidemic and robust research methods are required to establish which factors or aspects of the food environment are relevant to food choice and to adiposity. The relationship between the food environment and obesity is complex. While there is little research linking food access with obesity as an outcome measure in any age group, with the help of this article we will try to understand the relationship between what we eat and the environmental context in which these food choices are made. Methods: A literature search of studies published between January 2000 and December 2013 was undertaken on computerized medical, social science, health, nutrition and education databases including Google, PubMed etc. Reports of organisations such as World Health Organisation (WHO), Centre for Chronic Disease Control (CCDC) were studied to project the data. Results: Studies show that food environments play a significant role in the obesity epidemic and robust research methods are required to establish which factors or aspects of the food environment are relevant to food choice and to adiposity. Evidence indicates that the food environment may help explain the obesity and cardio-metabolic risk factors among young adults. Conclusion: Cardiovascular disease is the ever growing chronic disease, the incidence of which will increase markedly in the coming decades. Therefore, it is the need of the hour to assess the prevalence of various risk factors that contribute to the incidence of cardiovascular diseases especially in the work environment. Research is required to establish how different environments affect different individuals as individuals interact with the environment on a number of levels. We need to ascertain the impact of selected food and nutrition environments (Information, organization, community, consumer) on food choice and dietary intake of the working adults as it is important to learn how these food environments influence the eating perceptions and health behaviour of the adults. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=food%20environment" title="food environment">food environment</a>, <a href="https://publications.waset.org/abstracts/search?q=prevalence" title=" prevalence"> prevalence</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a>, <a href="https://publications.waset.org/abstracts/search?q=worksite" title=" worksite"> worksite</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a> </p> <a href="https://publications.waset.org/abstracts/14803/exploring-the-food-environments-and-their-influence-on-food-choices-of-working-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14803.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">401</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">17</span> Assessment of Obesity Parameters in Terms of Metabolic Age above and below Chronological Age in Adults </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> Chronologic age (CA) of individuals is closely related to obesity and generally affects the magnitude of obesity parameters. On the other hand, close association between basal metabolic rate (BMR) and metabolic age (MA) is also a matter of concern. It is suggested that MA higher than CA is the indicator of the need to improve the metabolic rate. In this study, the aim was to assess some commonly used obesity parameters, such as obesity degree, visceral adiposity, BMR, BMR-to-weight ratio, in several groups with varying differences between MA and CA values. The study comprises adults, whose ages vary between 18 and 79 years. Four groups were constituted. Group 1, 2, 3 and 4 were composed of 55, 33, 76 and 47 adults, respectively. The individuals exhibiting -1, 0 and +1 for their MA-CA values were involved in Group 1, which was considered as the control group. Those, whose MA-CA values varying between -5 and -10 participated in Group 2. Those, whose MAs above their real ages were divided into two groups [Group 3 (MA-CA; from +5 to + 10) and Group 4 (MA-CA; from +11 to + 12)]. Body mass index (BMI) values were calculated. TANITA body composition monitor using bioelectrical impedance analysis technology was used to obtain values for obesity degree, visceral adiposity, BMR and BMR-to-weight ratio. The compiled data were evaluated statistically using a statistical package program; SPSS. Mean ± SD values were determined. Correlation analyses were performed. The statistical significance degree was accepted as p < 0.05. The increase in BMR was positively correlated with obesity degree. MAs and CAs of the groups were 39.9 ± 16.8 <em>vs</em> 39.9 ± 16.7 years for Group 1, 45.0 ± 15.3 <em>vs</em> 51.4 ± 15.7 years for Group 2, 47.2 ± 12.7 <em>vs</em> 40.0 ± 12.7 years for Group 3, and 53.6 ± 14.8 <em>vs</em> 42 ± 14.8 years for Group 4. BMI values of the groups were 24.3 ± 3.6 kg/m<sup>2</sup>, 23.2 ± 1.7 kg/m<sup>2</sup>, 30.3 ± 3.8 kg/m<sup>2</sup>, and 40.1 ± 5.1 kg/m<sup>2</sup> for Group 1, 2, 3 and 4, respectively. Values obtained for BMR were 1599 ± 328 kcal in Group 1, 1463 ± 198 kcal in Group 2, 1652 ± 350 kcal in Group 3, and 1890 ± 360 kcal in Group 4. A correlation was observed between BMR and MA-CA values in Group 1. No correlation was detected in other groups. On the other hand, statistically significant correlations between MA-CA values and obesity degree, BMI as well as BMR/weight were found in Group 3 and in Group 4. It was concluded that upon consideration of these findings in terms of MA-CA values, BMR-to-weight ratio was found to be much more useful indicator of the severe increase in obesity development than BMR. Also, the lack of associations between MA and BMR as well as BMR-to-weight ratio emphasize the importance of consideration of MA-CA values rather than MA. <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=basal%20metabolic%20rate-to-weight-ratio" title=" basal metabolic rate-to-weight-ratio"> basal metabolic rate-to-weight-ratio</a>, <a href="https://publications.waset.org/abstracts/search?q=chronologic%20age" title=" chronologic age"> chronologic age</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20age" title=" metabolic age"> metabolic age</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity%20degree" title=" obesity degree"> obesity degree</a> </p> <a href="https://publications.waset.org/abstracts/115472/assessment-of-obesity-parameters-in-terms-of-metabolic-age-above-and-below-chronological-age-in-adults" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115472.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">97</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">16</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">15</span> Leptin Levels in Cord Blood and Their Associations with the Birth of Small, Large and Appropriate for Gestational Age Infants in Southern Sri Lanka</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20P.%20Hewawasam">R. P. Hewawasam</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20H.%20A.%20D.%20de%20Silva"> M. H. A. D. de Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20G.%20Iresha"> M. A. G. Iresha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years childhood obesity has increased to pan-epidemic proportions along with a concomitant increase in obesity-associated morbidity. Birth weight is an important determinant of later adult health, with neonates at both ends of the birth weight spectrum at risk of future health complications. Consequently, infants who are born large for gestational age (LGA) are more likely to be obese in childhood and adolescence and are at risk of cardiovascular and metabolic complications later in life. Adipose tissue plays a role in linking events in fetal growth to the subsequent development of adult diseases. In addition to its role as a storage depot for fat, adipose tissue produces and secrets a number of hormones of importance in modulating metabolism and energy homeostasis. Cord blood leptin level has been positively correlated with fetal adiposity at birth. It is established that Asians have lower skeletal muscle mass, low bone mineral content and excess body fat for a given body mass index indicating a genetic predisposition in the occurrence of obesity. To our knowledge, studies have never been conducted in Sri Lanka to determine the relationship between adipocytokine profile in cord blood and anthropometric parameters in newborns. Thus, the objective of this study is to establish the above relationship for the Sri Lankan population to implement awareness programs to minimize childhood obesity in the future. Umbilical cord blood was collected from 90 newborns (Male 40, Female 50; gestational age 35-42 weeks) after double clamping the umbilical cord before separation of the placenta and the concentration of leptin was measured by ELISA technique. Anthropometric parameters of the newborn such as birth weight, length, ponderal index, occipital frontal, chest, hip and calf circumferences were measured. Pearson’s correlation was used to assess the relationship between leptin and anthropometric parameters while the Mann-Whitney U test was used to assess the differences in cord blood leptin levels between small for gestational age (SGA), appropriate for gestational age (AGA) and LGA infants. There was a significant difference (P < 0.05) between the cord blood leptin concentrations of LGA infants (12.67 ng/mL ± 2.34) and AGA infants (7.10 ng/mL ± 0.90). However, a significant difference was not observed between leptin levels of SGA infants (8.86 ng/mL ± 0.70) and AGA infants. In both male and female neonates, umbilical leptin levels showed significant positive correlations (P < 0.05) with birth weight of the newborn, pre-pregnancy maternal weight and pre pregnancy BMI between the infants of large and appropriate for gestational ages. Increased concentrations of leptin levels in the cord blood of large for gestational age infants suggest that they may be involved in regulating fetal growth. Leptin concentration of Sri Lankan population was not significantly deviated from published data of Asian populations. Fetal leptin may be an important predictor of neonatal adiposity; however, interventional studies are required to assess its impact on the possible risk of childhood obesity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=appropriate%20for%20gestational%20age" title="appropriate for gestational age">appropriate for gestational age</a>, <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=leptin" title=" leptin"> leptin</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a> </p> <a href="https://publications.waset.org/abstracts/76398/leptin-levels-in-cord-blood-and-their-associations-with-the-birth-of-small-large-and-appropriate-for-gestational-age-infants-in-southern-sri-lanka" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76398.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">188</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">14</span> Effects of Gym-Based and Audio-Visual Guided Home-Based Exercise Programmes on Some Anthropometric and Cardiovascular Parameters Among Overweight and Obese College Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abiodun%20Afolabi">Abiodun Afolabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rufus%20Adesoji%20Adedoyin"> Rufus Adesoji Adedoyin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigated and compared the effects of gym-based exercise programme (GEBP) and audio-visual guided home-based exercise programme (AVGHBEP) on selected Anthropometric variables (Weight (W), Body Mass Index (BMI), Waist Circumference (WC), Hip Circumference (HC), Thigh Circumference (TC), Waist-Hip-Ratio (WHR), Waist-Height-Ratio (WHtR), Waist-Thigh-Ratio (WTR), Biceps Skinfold Thickness (BSFT), Triceps Skinfold Thickness (TSFT), Suprailliac Skinfold Thickness (SISFT), Subscapular Skinfold Thickness (SSSFT) and Percent Body Fat (PBF)); and Cardiovasular variables (Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP) and Heart Rate (HR)) of overweight and obese students of Federal College of Education (Special), Oyo, Oyo State, Nigeria, with a view to providing information and evidence for GBEP and AVGHBEP in reducing overweight and obesity for promoting cardiovascular fitness. Eighty overweight and obese students (BMI ≥ 25 Kg/m²) were involved in this pretest-posttest quasi experimental study. Participants were randomly assigned into GBEP (n = 40) and AVGBBEP (n = 40) groups. Anthropometric and cardiovascular variables were measured using a weighing scale, height meter, tape measure, skinfold caliper and electronic sphygmomanometer following standard protocols. GBEP and AVGHBEP were implemented following a circuit training (aerobic and resistance training) pattern with a duration of 40-60 minutes, thrice weekly for twelve weeks. GBEP consisted of gymnasium supervised exercise programme while AVGHBEP is a Visual Display guided exercise programme conducted at the home setting. Data were analyzed by Descriptive and Inferential Statistics. The mean ages of the participants were 22.55 ± 2.55 and 23.65 ± 2.89 years for the GBEP group and AVGHBEP group, respectively. Findings showed that in the GBEP group, there were significant reductions in anthropometric variables and adiposity measures of Weight, BMI, BSFT, TSFT, SISFT, SSSFT, WC, HC, TC, WHtR, and PBF at week 12 of the study. Similarly, in the AVGHBEP group, there were significant reductions in Weight, BMI, BSFT, TSFT, SISFT, SSSFT, WC, HC, TC, WHtR and PBF at the 12th week of intervention. Comparison of the effects of GEBP and AVGHBEP on anthropometric variables and measures of adiposity showed that there was no significant difference between the two groups in weight, BMI, BSFT, TSFT, SISFT, SSSFT, WC, HC, TC, WHR, WHtR, WTR and PBF between the two groups at week 12 of the study. Furthermore, findings on the effects of exercise on programmes on cardiovascular variables revealed that significant reductions occurred in SBP in GBEP group and AVGHBEP group respectively. Comparison of the effects of GBEP and AVGHBEP on cardiovascular variables showed that there was no significant difference in SBP, DBP and HR between the two groups at week 12 of the study. It was concluded that the Audio-Visual Guided Home-based Exercise Programme was as effective as the Gym-Based Exercise Programme in causing a significant reduction in anthropometric variables and body fat among college students who are overweight and obese over a period of twelve weeks. Both Gymnasium-Based Exercise Programme and Audio-Visual Guided Home-Based Exercise Programme led to significant reduction in Systolic Blood Pressure over a period of weeks. Audio-Visual Guided Home-Based Exercise Programme can, therefore, be used as an alternative therapy in the non-pharmacological management of people who are overweight and obese. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gym-based%20exercises" title="gym-based exercises">gym-based exercises</a>, <a href="https://publications.waset.org/abstracts/search?q=audio-visual%20guided%20home-based%20exercises" title=" audio-visual guided home-based exercises"> audio-visual guided home-based exercises</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20parameters" title=" anthropometric parameters"> anthropometric parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular%20parameters" title=" cardiovascular parameters"> cardiovascular parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight%20students" title=" overweight students"> overweight students</a>, <a href="https://publications.waset.org/abstracts/search?q=obese%20students" title=" obese students"> obese students</a> </p> <a href="https://publications.waset.org/abstracts/186162/effects-of-gym-based-and-audio-visual-guided-home-based-exercise-programmes-on-some-anthropometric-and-cardiovascular-parameters-among-overweight-and-obese-college-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186162.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">13</span> The Coexistence of Dual Form of Malnutrition among Portuguese Institutionalized Elderly People</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Ca%C3%A7ador">C. Caçador</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Reis%20Lima"> M. J. Reis Lima</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Oliveira"> J. Oliveira</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Veiga"> M. J. Veiga</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Teixeira%20Ver%C3%ADssimo"> M. Teixeira Veríssimo</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Ramos"> F. Ramos</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20C.%20Castilho"> M. C. Castilho</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Teixeira-Lemos"> E. Teixeira-Lemos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study we evaluated the nutritional status of 214 institutionalized elderly residents of both genders, aged 65 years and older of 11 care homes located in the district of Viseu (center of Portugal). The evaluation was based on anthropometric measurements and the Mini Nutritional Assessment (MNA) score. The mean age of the subjects was 82.3 ± 6.1 years-old. Most of the elderly residents were female (72.0%). The majority had 4 years of formal education (51.9%) and was widowed (74.3%) or married (14.0%). Men presented a mean age of 81.2±8.5 years-old, weight 69.3±14.5 kg and BMI 25.33±6.5 kg/m2. In women, the mean age was 84.5±8.2 years-old, weight 61.2±14.7 kg and BMI 27.43±5.6 kg/m2. The evaluation of the nutritional status using the MNA score showed that 24.0% of the residents show a risk of undernutrition and 76.0% of them were well nourished. There was a high prevalence of obese (24.8%) and overweight residents (33.2%) according to the BMI. 7.5% were considered underweight. We also found that according to their waist circumference measurements 88.3% of the residents were at risk for cardiovascular disease (CVD) and 64.0% of them presented very high risk for CVD (WC≥88 cm for women and WC ≥102 cm for men). The present study revealed the coexistence of a dual form of malnutrition (undernourished and overweight) among the institutionalized Portuguese concomitantly with an excess of abdominal adiposity. The high prevalence of residents at high risk for CVD should not be overlooked. Given the vulnerability of the group of institutionalized elderly, our study highlights the importance of the classification of nutritional status based on both instruments: the BMI and the MNA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=nutritional%20satus" title="nutritional satus">nutritional satus</a>, <a href="https://publications.waset.org/abstracts/search?q=MNA" title=" MNA"> MNA</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=elderly" title=" elderly"> elderly</a> </p> <a href="https://publications.waset.org/abstracts/11514/the-coexistence-of-dual-form-of-malnutrition-among-portuguese-institutionalized-elderly-people" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11514.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">325</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">12</span> A Coordinated School Health Program Effect on Cardiorespiratory Fitness in Preschool Children</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zasha%20Romero">Zasha Romero</a>, <a href="https://publications.waset.org/abstracts/search?q=Roberto%20Trevino"> Roberto Trevino</a>, <a href="https://publications.waset.org/abstracts/search?q=Lin%20Wang"> Lin Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizabeth%20Alanis"> Elizabeth Alanis</a>, <a href="https://publications.waset.org/abstracts/search?q=Jesus%20Cuellar"> Jesus Cuellar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: There is a strong relationship between low cardiorespiratory fitness (CRF) and high adiposity levels. The purpose of this study was to assess the effects of the Bienestar/Neema Coordinated School Health Program (BN CSHP) on the CRF of preschool children. Methods: This is a randomized cluster trial conducted in preschools of two school districts located along the Texas-Mexico border. Of 48 eligible schools, 28 were randomly selected (intervention, n=14; control, n=14). Family demographics and household health characteristics were collected from parents. CRF, as measured by the Progressive Anaerobic Capacity Endurance Run (PACER) fitness test, was collected from the children. A generalized linear mixed model (GLMM) was used to analyze the data. Results: Family demographics, household health characteristics, and children’s weight, obesity prevalence, and sedentary activity were similar among both treatment groups. After adjusting for covariates, the number of laps run by children in the control group increased by 23% (CI: -5% to 60%) per each data collection period compared with 53% (CI: 7% to 119%) in the intervention group. Conclusions: Children in the BN CSHP, compared to those in the control group, had a significantly higher increase in their CRF. This finding is important because of the health benefits of CRF in children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coordinated%20school%20health%20program" title="coordinated school health program">coordinated school health program</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiorespiratory%20fitness" title=" cardiorespiratory fitness"> cardiorespiratory fitness</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=border%20health" title=" border health"> border health</a>, <a href="https://publications.waset.org/abstracts/search?q=preschool" title=" preschool"> preschool</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20education" title=" physical education"> physical education</a>, <a href="https://publications.waset.org/abstracts/search?q=movement" title=" movement"> movement</a> </p> <a href="https://publications.waset.org/abstracts/163073/a-coordinated-school-health-program-effect-on-cardiorespiratory-fitness-in-preschool-children" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163073.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11</span> The Effects of Three Months of HIIT on Plasma Adiponectin on Overweight College Men</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Pourvaghar">M. J. Pourvaghar</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20E.%20Bahram"> M. E. Bahram</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Sayyah"> M. Sayyah</a>, <a href="https://publications.waset.org/abstracts/search?q=Sh.%20Khoshemehry"> Sh. Khoshemehry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adiponectin is a cytokine secreted by the adipose tissue that functions as an anti-inflammatory, antiathrogenic and anti-diabetic substance. Its density is inversely correlated with body mass index. The purpose of this research was to examine the effect of 12 weeks of high intensity interval training (HIIT) with the level of serum adiponectin and some selected adiposity markers in overweight and fat college students. This was a clinical research in which 24 students with BMI between 25 kg/m<sup>2 </sup>to 30 kg/m<sup>2</sup>. The sample was purposefully selected and then randomly assigned into two groups of experimental (age =22.7±1.5 yr.; weight = 85.8±3.18 kg and height =178.7±3.29 cm) and control (age =23.1±1.1 yr.; weight = 79.1±2.4 kg and height =181.3±4.6 cm), respectively. The experimental group participated in an aerobic exercise program for 12 weeks, three sessions per weeks at a high intensity between 85% to 95% of maximum heart rate (considering the over load principle). Prior and after the termination of exercise protocol, the level of serum adiponectin, BMI, waist to hip ratio, and body fat percentages were calculated. The data were analyzed by using SPSS: PC 16.0 and statistical procedure such as ANCOVA, was used. The results indicated that 12 weeks of intensive interval training led to the increase of serum adiponectin level and decrease of body weight, body fat percent, body mass index and waist to hip ratio (P < 0.05). Based on the results of this research, it may be concluded that participation in intensive interval training for 12 weeks is a non-invasive treatment to increase the adiponectin level while decreasing some of the anthropometric indices associated with obesity or being overweight. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adiponectin" title="adiponectin">adiponectin</a>, <a href="https://publications.waset.org/abstracts/search?q=cardiovascular" title=" cardiovascular"> cardiovascular</a>, <a href="https://publications.waset.org/abstracts/search?q=interval" title=" interval"> interval</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=training" title=" training"> training</a> </p> <a href="https://publications.waset.org/abstracts/68386/the-effects-of-three-months-of-hiit-on-plasma-adiponectin-on-overweight-college-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68386.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">316</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">10</span> The Effects of Eriocitrin on Obesity and Hepatic Steatosis in High-Fat Diet-Induced Obese C57BL/6 Mice</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=So%20Young%20Kim">So Young Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Eun-Young%20Kwon"> Eun-Young Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Bora%20Choi"> Bora Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mi%20Kyeong%20Yu"> Mi Kyeong Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Seon%20Jeong%20Lee"> Seon Jeong Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Myung-Sook%20Choi"> Myung-Sook Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lemon (Citrus limon) has various beneficial effect. Eriocitrin (eriodictyol 7-rutinoside) is the main ingredient of lemon fruit and is known to have antioxidative effects. However, there has been little research about the effects of eriocitrin on obesity and regulation of lipid profiles levels. In the present study, we investigated the anti-obesity and lipid-lowering effects of eriocitrin in mice fed high-fat diet (HFD). The 4 week-old male C57BL/6 mice were randomly divided into two groups and were fed HFD (20% fat, w/w) and HFD supplemented with eriocitrin (0.005%, w/w, EC) for 16 weeks. Food intake, body weight and white adipose tissue weight (WAT) were measured and plasma free fatty acid (FFA), apolipoprotein (Apo) B100 level and hepatic enzyme activity were analyzed. No differences were shown between the HFD and EC groups in body weight and food intake. However EC supplementation significantly reduced the weights of epididymal, subcutaneous and total WAT. In addition, the levels of plasma FFA and Apo B100 were significantly decreased in the EC group compared with the HFD group. Moreover, the activities of glucose-6-phosphate dehydrogenase (G6PD) and malic enzyme (ME) related to fatty acids synthesis were significantly lower in the EC group than in the HFD group in liver. Therefore, this study indicates that eriocitrin has beneficial effects on adiposity and nonalcholic fatty liver diseases by modulating hepatic lipid-regulating enzyme activities and plasma lipid profile. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antiobesity" title="antiobesity">antiobesity</a>, <a href="https://publications.waset.org/abstracts/search?q=eriocitrin" title=" eriocitrin"> eriocitrin</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=lipid%20lowering" title=" lipid lowering"> lipid lowering</a> </p> <a href="https://publications.waset.org/abstracts/60909/the-effects-of-eriocitrin-on-obesity-and-hepatic-steatosis-in-high-fat-diet-induced-obese-c57bl6-mice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60909.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">452</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">9</span> Adolescent Obesity Leading to Adulthood Cardiovascular Diseases among Punjabi Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manpreet%20Kaur">Manpreet Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Badaruddoza"> Badaruddoza</a>, <a href="https://publications.waset.org/abstracts/search?q=Sandeep%20Kaur%20Brar"> Sandeep Kaur Brar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The increasing prevalence of adolescent obesity is one of the major causes to be hypertensive in adulthood. Various statistical methods have been applied to examine the performance of anthropometric indices for the identification of adverse cardiovascular risk profile. The present work was undertaken to determine the significant traditional risk factors through principal component factor analysis (PCFA) among population based Punjabi adolescents aged 10-18 years. Data was collected among adolescent children from different schools situated in urban areas of Punjab, India. Principal component factor analysis (PCFA) was applied to extract orthogonal components from anthropometric and physiometric variables. Association between components were explained by factor loadings. The PCFA extracted four factors, which explained 84.21%, 84.06% and 83.15% of the total variance of the 14 original quantitative traits among boys, girls and combined subjects respectively. Factor 1 has high loading of the traits that reflect adiposity such as waist circumference, BMI and skinfolds among both sexes. However, waist circumference and body mass index are the indicator of abdominal obesity which increases the risk of cardiovascular diseases. The loadings of these two traits have found maximum in girls adolescents (WC=0.924; BMI=0.905). Therefore, factor 1 is the strong indicator of atherosclerosis in adolescents. Factor 2 is predominantly loaded with blood pressures and related traits (SBP, DBP, MBP and pulse rate) which reflect the risk of essential hypertension in adolescent girls and combined subjects, whereas, factor 2 loaded with obesity related traits in boys (weight and hip circumferences). Comparably, factor 3 is loaded with blood pressures in boys and with height and WHR in girls, while factor 4 contains high loading of pulse pressure among boys, girls and combined group of adolescents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adolescent%20obesity" title="adolescent obesity">adolescent obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=cvd" title=" cvd"> cvd</a>, <a href="https://publications.waset.org/abstracts/search?q=hypertension" title=" hypertension"> hypertension</a>, <a href="https://publications.waset.org/abstracts/search?q=punjabi%20population" title=" punjabi population"> punjabi population</a> </p> <a href="https://publications.waset.org/abstracts/30441/adolescent-obesity-leading-to-adulthood-cardiovascular-diseases-among-punjabi-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30441.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">371</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">8</span> Increased Expression Levels of Soluble Epoxide Hydrolase in Obese and Its Modulation by Physical Exercise</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelkrim%20Khadir">Abdelkrim Khadir</a>, <a href="https://publications.waset.org/abstracts/search?q=Sina%20Kavalakatt"> Sina Kavalakatt</a>, <a href="https://publications.waset.org/abstracts/search?q=Preethi%20Cherian"> Preethi Cherian</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Tiss"> Ali Tiss</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soluble epoxide hydrolase (sEH) is an emerging therapeutic target in several chronic states that have inflammation as a common underlying cause such as immunometabolic diseases. Indeed, sEH is known to play a pro-inflammatory role by metabolizing anti-inflammatory, epoxyeicosatrienoic acids (EETs) to pro-inflammatory diols. Recently, it was shown sEH to be linked to diet and microbiota interaction in rat models of obesity. Nevertheless, the functional contribution of sEH and its anti-inflammatory substrates EETs in obesity remain poorly understood. In the current study, we compared the expression pattern of sEH between lean and obese nondiabetic human subjects using subcutaneous adipose tissue (SAT) and peripheral blood mononuclear cells (PBMCs). Using RT-PCR, western blot and immunofluorescence confocal microscopy, we show here that the level of sEH mRNA and protein to be significantly increased in obese subjects with concomitant increase in endoplasmic reticulum (ER) stress components (GRP78 and ATF6α) and inflammatory markers (TNF-α, IL-6) when compared to lean controls. The observation that sEH was overexpressed in obese subjects’ prompt us to investigate whether physical exercise could reduce its expression. In this study, we report here 3-months supervised physical exercise significantly attenuated the expression of sEH in both the SAT and PBMCs, with a parallel decrease in the expression of ER stress markers along with attenuated inflammatory response. On the other hand, homocysteine, a sulfur containing amino acid deriving from the essential amino acid methionine was shown to be directly associated with insulin resistance. When 3T3-L1 preadipocytes cells were treated with homocysteine our results show increased sEH levels along with ER stress markers. Collectively, our data suggest that sEH upregulation is strongly linked to ER stress in adiposity and that physical exercise modulates its expression. This gives further evidence that exercise might be useful as a strategy for managing obesity and preventing its associated complications. <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=adipose%20tissue" title=" adipose tissue"> adipose tissue</a>, <a href="https://publications.waset.org/abstracts/search?q=epoxide%20hydrolase" title=" epoxide hydrolase"> epoxide hydrolase</a>, <a href="https://publications.waset.org/abstracts/search?q=ER%20stress" title=" ER stress"> ER stress</a> </p> <a href="https://publications.waset.org/abstracts/91910/increased-expression-levels-of-soluble-epoxide-hydrolase-in-obese-and-its-modulation-by-physical-exercise" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91910.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">139</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">7</span> Identification of Some Factors Influencing Serum Uric Acid Concentration in Individuals With Metabolic Syndrome</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Munkhtuul%20G.">Munkhtuul G.</a>, <a href="https://publications.waset.org/abstracts/search?q=Bolortsetseg%20Z."> Bolortsetseg Z.</a>, <a href="https://publications.waset.org/abstracts/search?q=Lutzul%20M."> Lutzul M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Sugar%20N."> Sugar N.</a>, <a href="https://publications.waset.org/abstracts/search?q=Nyamdorj%20D."> Nyamdorj D.</a>, <a href="https://publications.waset.org/abstracts/search?q=Nomundari%20B."> Nomundari B.</a>, <a href="https://publications.waset.org/abstracts/search?q=Zesemdorj%20O."> Zesemdorj O.</a>, <a href="https://publications.waset.org/abstracts/search?q=Erdenebayar%20N."> Erdenebayar N.</a>, <a href="https://publications.waset.org/abstracts/search?q=Lkhagvasuren%20T.%20S."> Lkhagvasuren T. S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Munkhbayarlakh%20S."> Munkhbayarlakh S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayasgalan%20T.%20Uurtuya%20S.%20H."> Bayasgalan T. Uurtuya S. H.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Elevated serum uric acid (SUA) levels are observed in metabolic and cardiovascular conditions as an early predictor of metabolic syndrome (MS). Hyperuricemia, characterised by high uric acid levels in serum, increases the risk of developing MS by 1.6 times. Being overweight and obese significantly contributes to developing MS and cardiovascular disorders. In Mongolia, the prevalence of overweight and obesity is reaching 48.8% among individuals aged 15 to 49 years, indicating a potential surge in the incidence of MS, cardiovascular disorders, diabetes mellitus, and gout.Objective: This study aimed to determine the SUA levels in men diagnosed with MS and investigate the factors influencing these levels.Methods: A total of 119 men aged 30-60, who underwent preventive examinations and resided in Ulaanbaatar city, were included in the study. The criteria established by the International Diabetes Federation (IDF), American Heart Association (AHA), and the National Heart, Lung, and Blood Institute (NHLBI) were employed to define metabolic syndrome. Hyperuricemia was defined as SUA levels ≥7 mg/dL. Dietary intake was evaluated through the 24-hour recall method.Results: The study revealed that the prevalence of MS among the participants was 42.9% (n=51), with hyperuricemia observed in 16.8% (n=20) of the individuals. Among men diagnosed with MS, 21.3% (n=10) exhibited hyperuricemia. The mean SUA levels were as follows: 4.7±0.8 mg/dL in the healthy group, 5.9±1.1 mg/dL in men without MS but presenting central obesity, and 6.2±1.3 mg/dL in men with MS. After adjusting for age and body mass index (BMI), a positive correlation was observed between SUA levels and triglycerides (β=0.93) as well as lipid accumulation product (LAP) (β=0.92) in men with MS. In the central obesity group, SUA levels exhibited a positive correlation with triglycerides (β=0.91), visceral adiposity index (VAI) (β=0.73), LAP (β=0.92), and cardiometabolic index (CMI) (β=0.69). The risk of hyperuricemia increased by 3.29 times with elevated triglycerides and 3.53 times with an increased LAP.Conclusion: The findings indicate that abdominal fat accumulation, as indicated by elevated triglyceride levels and LAP, is associated with increased SUA levels in men with MS. However, no significant relationship was observed between SUA levels and dietary intake. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=central%20obesity" title="central obesity">central obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=triglycerides" title=" triglycerides"> triglycerides</a>, <a href="https://publications.waset.org/abstracts/search?q=hyperuricemia" title=" hyperuricemia"> hyperuricemia</a> </p> <a href="https://publications.waset.org/abstracts/171363/identification-of-some-factors-influencing-serum-uric-acid-concentration-in-individuals-with-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171363.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">62</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">6</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">178</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">5</span> Comprehensive Longitudinal Multi-omic Profiling in Weight Gain and Insulin Resistance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christine%20Y.%20Yeh">Christine Y. Yeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Brian%20D.%20Piening"> Brian D. Piening</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20M.%20Totten"> Sarah M. Totten</a>, <a href="https://publications.waset.org/abstracts/search?q=Kimberly%20Kukurba"> Kimberly Kukurba</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenyu%20Zhou"> Wenyu Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Kevin%20P.%20F.%20Contrepois"> Kevin P. F. Contrepois</a>, <a href="https://publications.waset.org/abstracts/search?q=Gucci%20J.%20Gu"> Gucci J. Gu</a>, <a href="https://publications.waset.org/abstracts/search?q=Sharon%20Pitteri"> Sharon Pitteri</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Snyder"> Michael Snyder</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Three million deaths worldwide are attributed to obesity. However, the biomolecular mechanisms that describe the link between adiposity and subsequent disease states are poorly understood. Insulin resistance characterizes approximately half of obese individuals and is a major cause of obesity-mediated diseases such as Type II diabetes, hypertension and other cardiovascular diseases. This study makes use of longitudinal quantitative and high-throughput multi-omics (genomics, epigenomics, transcriptomics, glycoproteomics etc.) methodologies on blood samples to develop multigenic and multi-analyte signatures associated with weight gain and insulin resistance. Participants of this study underwent a 30-day period of weight gain via excessive caloric intake followed by a 60-day period of restricted dieting and return to baseline weight. Blood samples were taken at three different time points per patient: baseline, peak-weight and post weight loss. Patients were characterized as either insulin resistant (IR) or insulin sensitive (IS) before having their samples processed via longitudinal multi-omic technologies. This comparative study revealed a wealth of biomolecular changes associated with weight gain after using methods in machine learning, clustering, network analysis etc. Pathways of interest included those involved in lipid remodeling, acute inflammatory response and glucose metabolism. Some of these biomolecules returned to baseline levels as the patient returned to normal weight whilst some remained elevated. IR patients exhibited key differences in inflammatory response regulation in comparison to IS patients at all time points. These signatures suggest differential metabolism and inflammatory pathways between IR and IS patients. Biomolecular differences associated with weight gain and insulin resistance were identified on various levels: in gene expression, epigenetic change, transcriptional regulation and glycosylation. This study was not only able to contribute to new biology that could be of use in preventing or predicting obesity-mediated diseases, but also matured novel biomedical informatics technologies to produce and process data on many comprehensive omics levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=insulin%20resistance" title="insulin resistance">insulin resistance</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-omics" title=" multi-omics"> multi-omics</a>, <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title=" next generation sequencing"> next generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=proteogenomics" title=" proteogenomics"> proteogenomics</a>, <a href="https://publications.waset.org/abstracts/search?q=type%20ii%20diabetes" title=" type ii diabetes"> type ii diabetes</a> </p> <a href="https://publications.waset.org/abstracts/44670/comprehensive-longitudinal-multi-omic-profiling-in-weight-gain-and-insulin-resistance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44670.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">429</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">4</span> Pathway Linking Early Use of Electronic Device and Psychosocial Wellbeing in Early Childhood</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rosa%20S.%20Wong">Rosa S. Wong</a>, <a href="https://publications.waset.org/abstracts/search?q=Keith%20T.S.%20Tung"> Keith T.S. Tung</a>, <a href="https://publications.waset.org/abstracts/search?q=Winnie%20W.%20Y.%20%20Tso"> Winnie W. Y. Tso</a>, <a href="https://publications.waset.org/abstracts/search?q=King-Wa%20Fu"> King-Wa Fu</a>, <a href="https://publications.waset.org/abstracts/search?q=Nirmala%20Rao"> Nirmala Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20%20Ip"> Patrick Ip</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electronic devices have become an essential part of our lives. Various reports have highlighted the alarming usage of electronic devices at early ages and its long-term developmental consequences. More sedentary screen time was associated with increased adiposity, worse cognitive and motor development, and psychosocial health. Apart from the problems caused by children’s own screen time, parents today are often paying less attention to their children due to hand-held device. Some anecdotes suggest that distracted parenting has negative impact on parent-child relationship. This study examined whether distracted parenting detrimentally affected parent-child activities which may, in turn, impair children’s psychosocial health. In 2018/19, we recruited a cohort of preschoolers from 32 local kindergartens in Tin Shui Wai and Sham Shui Po for a 5-year programme aiming to build stronger foundations for children from disadvantaged backgrounds through an integrated support model involving medical, education and social service sectors. A comprehensive set of questionnaires were used to survey parents on their frequency of being distracted while parenting and their frequency of learning and recreational activities with children. Furthermore, they were asked to report children’s screen time amount and their psychosocial problems. Mediation analyses were performed to test the direct and indirect effects of electronic device-distracted parenting on children’s psychosocial problems. This study recruited 873 children (448 females and 425 males, average age: 3.42±0.35). Longer screen time was associated with more psychosocial difficulties (Adjusted B=0.37, 95%CI: 0.12 to 0.62, p=0.004). Children’s screen time positively correlated with electronic device-distracted parenting (r=0.369, p < 01). We also found that electronic device-distracted parenting was associated with more hyperactive/inattentive problems (Adjusted B=0.66, p < 0.01), fewer prosocial behavior (Adjusted B=-0.74, p < 0.01), and more emotional symptoms (Adjusted B=0.61, p < 0.001) in children. Further analyses showed that electronic device-distracted parenting exerted influences both directly and indirectly through parent-child interactions but to different extent depending upon the outcome under investigation (38.8% for hyperactivity/inattention, 31.3% for prosocial behavior, and 15.6% for emotional symptoms). We found that parents’ use of devices and children’s own screen time both have negative effects on children’s psychosocial health. It is important for parents to set “device-free times” each day so as to ensure enough relaxed downtime for connecting with children and responding to their needs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=early%20childhood" title="early childhood">early childhood</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20device" title=" electronic device"> electronic device</a>, <a href="https://publications.waset.org/abstracts/search?q=psychosocial%20wellbeing" title=" psychosocial wellbeing"> psychosocial wellbeing</a>, <a href="https://publications.waset.org/abstracts/search?q=parenting" title=" parenting "> parenting </a> </p> <a href="https://publications.waset.org/abstracts/112147/pathway-linking-early-use-of-electronic-device-and-psychosocial-wellbeing-in-early-childhood" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112147.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">164</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">3</span> The Relationship between Anthropometric Obesity Indices and Insulin in Children with Metabolic Syndrome</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> The number of indices developed for the evaluation of obesity both in adults and pediatric population is ever increasing. These indices are also used in cases with metabolic syndrome (MetS), mostly the ultimate form of morbid obesity. Aside from anthropometric measurements, formulas constituted using these parameters also find clinical use. These formulas can be listed as two groups; being weight-dependent and –independent. Some are extremely sophisticated equations and their clinical utility is questionable in routine clinical practice. The aim of this study is to compare presently available obesity indices and find the most practical one. Their associations with MetS components were also investigated to determine their capacities in differential diagnosis of morbid obesity with and without MetS. Children with normal body mass index (N-BMI) and morbid obesity were recruited for this study. Three groups were constituted. Age- and sex- dependent BMI percentiles for morbid obese (MO) children were above 99 according to World Health Organization tables. Of them, those with MetS findings were evaluated as MetS group. Children, whose values were between 85 and 15 were included in N-BMI group. The study protocol was approved by the Ethics Committee of the Institution. Parents filled out informed consent forms to participate in the study. Anthropometric measurements and blood pressure values were recorded. Body mass index, hip index (HI), conicity index (CI), triponderal mass index (TPMI), body adiposity index (BAI), body shape index (ABSI), body roundness index (BRI), abdominal volume index (AVI), waist-to-hip ratio (WHR) and waist circumference+hip circumference/2 ((WC+HC)/2) were the formulas examined within the scope of this study. Routine biochemical tests including fasting blood glucose (FBG), insulin (INS), triglycerides (TRG), high density lipoprotein-cholesterol (HDL-C) were performed. Statistical package program SPSS was used for the evaluation of study data. p<0.05 was accepted as the statistical significance degree. Hip index did not differ among the groups. A statistically significant difference was noted between N-BMI and MetS groups in terms of ABSI. All the other indices were capable of making discrimination between N-BMI-MO, N-BMI- MetS and MO-MetS groups. No correlation was found between FBG and any obesity indices in any groups. The same was true for INS in N-BMI group. Insulin was correlated with BAI, TPMI, CI, BRI, AVI and (WC+HC)/2 in MO group without MetS findings. In MetS group, the only index, which was correlated with INS was (WC+HC)/2. These findings have pointed out that complicated formulas may not be required for the evaluation of the alterations among N-BMI and various obesity groups including MetS. The simple easily computable weight-independent index, (WC+HC)/2, was unique, because it was the only index, which exhibits a valuable association with INS in MetS group. It did not exhibit any correlation with other obesity indices showing associations with INS in MO group. It was concluded that (WC+HC)/2 was pretty valuable practicable index for the discrimination of MO children with and without MetS findings. <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=insulin" title=" insulin"> insulin</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/158884/the-relationship-between-anthropometric-obesity-indices-and-insulin-in-children-with-metabolic-syndrome" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158884.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">77</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">2</span> Concentrations of Leptin, C-Peptide and Insulin in Cord Blood as Fetal Origins of Insulin Resistance and Their Effect on the Birth Weight of the Newborn</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20P.%20Hewawasam">R. P. Hewawasam</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20H.%20A.%20D.%20de%20Silva"> M. H. A. D. de Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20G.%20Iresha"> M. A. G. Iresha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity is associated with an increased risk of developing insulin resistance. Insulin resistance often progresses to type-2 diabetes mellitus and is linked to a wide variety of other pathophysiological features including hypertension, hyperlipidemia, atherosclerosis (metabolic syndrome) and polycystic ovarian syndrome. Macrosomia is common in infants born to not only women with gestational diabetes mellitus but also non-diabetic obese women. During the past two decades, obesity in children and adolescents has risen significantly in Asian populations including Sri Lanka. There is increasing evidence to believe that infants who are born large for gestational age (LGA) are more likely to be obese in childhood. It is also established from previous studies that Asian populations have higher percentage body fat at a lower body mass index compared to Caucasians. High leptin levels in cord blood have been reported to correlate with fetal adiposity at birth. Previous studies have also shown that cord blood C-peptide and insulin levels are significantly and positively correlated with birth weight. Therefore, the objective of this preliminary study was to determine the relationship between parameters of fetal insulin resistance such as leptin, C-peptide and insulin and the birth weight of the newborn in a study population in Southern Sri Lanka. Umbilical cord blood was collected from 90 newborns and the concentration of insulin, leptin, and C-peptide were measured by ELISA technique. Birth weight, length, occipital frontal, chest, hip and calf circumferences of newborns were measured and characteristics of the mother such as age, height, weight before pregnancy and weight gain were collected. The relationship between insulin, leptin, C-peptide, and anthropometrics were assessed by Pearson’s correlation while the Mann-Whitney U test was used to assess the differences in cord blood leptin, C-peptide, and insulin levels between groups. A significant difference (p < 0.001) was observed between the insulin levels of infants born LGA (18.73 ± 0.64 µlU/ml) and AGA (13.08 ± 0.43 µlU/ml). Consistently, A significant increase in concentration (p < 0.001) was observed in C-peptide levels of infants born LGA (9.32 ± 0.77 ng/ml) compared to AGA (5.44 ± 0.19 ng/ml). Cord blood leptin concentration of LGA infants (12.67 ng/mL ± 1.62) was significantly higher (p < 0.001) compared to the AGA infants (7.10 ng/mL ± 0.97). Significant positive correlations (p < 0.05) were observed among cord leptin levels and the birth weight, pre-pregnancy maternal weight and BMI between the infants of AGA and LGA. Consistently, a significant positive correlation (p < 0.05) was observed between the birth weight and the C peptide concentration. Significantly high concentrations of leptin, C-peptide and insulin levels in the cord blood of LGA infants suggest that they may be involved in regulating fetal growth. Although previous studies suggest comparatively high levels of body fat in the Asian population, values obtained in this study are not significantly different from values previously reported from Caucasian populations. According to this preliminary study, maternal pre-pregnancy BMI and weight may contribute as significant indicators of cord blood parameters of insulin resistance and possibly the birth weight of the newborn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=large%20for%20gestational%20age" title="large for gestational age">large for gestational age</a>, <a href="https://publications.waset.org/abstracts/search?q=leptin" title=" leptin"> leptin</a>, <a href="https://publications.waset.org/abstracts/search?q=C-peptide" title=" C-peptide"> C-peptide</a>, <a href="https://publications.waset.org/abstracts/search?q=insulin" title=" insulin"> insulin</a> </p> <a href="https://publications.waset.org/abstracts/80454/concentrations-of-leptin-c-peptide-and-insulin-in-cord-blood-as-fetal-origins-of-insulin-resistance-and-their-effect-on-the-birth-weight-of-the-newborn" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80454.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">1</span> Effects of Delphinidin on Lipid Metabolism in HepG2 Cells and Diet-Induced Obese Mice</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Marcela%20Parra-Vargas">Marcela Parra-Vargas</a>, <a href="https://publications.waset.org/abstracts/search?q=Ana%20Sandoval-Rodriguez"> Ana Sandoval-Rodriguez</a>, <a href="https://publications.waset.org/abstracts/search?q=Roberto%20Rodriguez-Echevarria"> Roberto Rodriguez-Echevarria</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20Dominguez-Rosales"> Jose Dominguez-Rosales</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Armendariz-Borunda"> Juan Armendariz-Borunda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Non-alcoholic fatty liver disease (NAFLD) is characterized by an excess of hepatic lipids, and it is to author’s best knowledge, the most prevalent chronic liver disorder. Anthocyanin-rich food consumption is linked to health benefits in metabolic disorders associated with obesity and NAFLD, although the precise functional role of anthocyanidin delphinidin (Dp) has yet to be established. The aim of this study was to investigate the effect of the Dp in NAFLD metabolic alterations by evaluating prevention or amelioration of hepatic lipid accumulation, as well as molecular mechanisms in two experimental obesity-related models of NALFD. In vitro: HepG2 cells were incubated with sodium palmitate (PA, 1 mM) to induce lipotoxic damage, and concomitantly treated with Dp (180 uM) for 24 h. Subsequently, total lipid accumulation was measured by colorimetric staining with Oil Red O, and total intrahepatic triglycerides were determined by an enzymatic assay. To assess molecular mechanisms, cells were pre-treated with PA for 24 h and then exposed to Dp for 1 h. In vivo: four-week-old male C57BL/6Nhsd mice were allocated in two main groups. Mice were fed with standard diet (control) or high-fat and high-carbohydrate diet (45% fat, HFD) for 16 wk to induce NAFLD. Then HFD was divided into subgroups: one treated orally with Dp (15 mg/kg bw, HFD-Dp) every day for 4 wk, while HFD group treated with vehicle (DMSO). Weight and fasting glucose were recorded weekly, while dietary ingestion was measured daily. Insulin tolerance test was performed at the end of treatment. Liver histology was evaluated with H&E and Masson’s trichrome stain. RT-PCR was used to evaluate gene expression and Western Blot to determine levels of protein in both experimental models. Parametric data were analyzed with one-way ANOVA and Tukey’s post-hoc test. Kruskal-Wallis and Mann-Whitney U test for non-parametric data, and P < 0.5 were considered significant. Dp prevented hepatic lipid accumulation by PA in HepG2 hepatocytes. Furthermore, Dp down-regulated gene expression of SREBP1c, FAS, and CPT1a without modifying AMPK phosphorylation levels. In vivo, Dp oral administration did not ameliorate lipid metabolic alterations raised by HFD. Adiposity, dietary ingestion, fasting glucose, and insulin sensitivity after Dp treatment remained similar to HFD group. Histological analysis showed hepatic damage in HFD groups and no differences between HFD and HFD-Dp groups were found. Hepatic gene expression of ACC and FAS were not altered by HFD. SREBP1c was similar in both HFD and HFD-Dp groups. No significant changes were observed in SREBP1c, ACC, and FAS adipose tissue gene expression by HFD or Dp treatment. Additionally, immunoblotting analysis revealed no changes in pathway SIRT1-LKB-AMPK and PPAR alpha by both HFD groups compared to control. In conclusion, the antioxidant Dp may provoke beneficial effects in the prevention of hepatic lipid accumulation. Nevertheless, the oral dose administrated in mice that simulated the total intake of anthocyanins consumed daily by humans has no effect as a treatment on hepatic lipid metabolic alterations and histological abnormalities associated with exposure to chronic HFD. A healthy lifestyle with regular intake of antioxidants such as anthocyanins may prevent metabolic alterations in NAFLD. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthocyanins" title="anthocyanins">anthocyanins</a>, <a href="https://publications.waset.org/abstracts/search?q=antioxidants" title=" antioxidants"> antioxidants</a>, <a href="https://publications.waset.org/abstracts/search?q=delphinidin" title=" delphinidin"> delphinidin</a>, <a href="https://publications.waset.org/abstracts/search?q=non-alcoholic%20fatty%20liver%20disease" title=" non-alcoholic fatty liver disease"> non-alcoholic fatty liver disease</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/89228/effects-of-delphinidin-on-lipid-metabolism-in-hepg2-cells-and-diet-induced-obese-mice" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89228.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">202</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); 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