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anthropometric studies</title> <meta name="description" content="Search results for: anthropometric studies"> <meta name="keywords" content="anthropometric studies"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="anthropometric studies"> <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> 11532</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: anthropometric studies</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11532</span> Anthropometric Profile and Its Influence on the Vital Signs of Baja California College Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20A.%20Lopez">J. A. Lopez</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20E.%20Olguin"> J. E. Olguin</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Camargo"> C. Camargo</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20A.%20Quijano"> G. A. Quijano</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Martinez"> R. Martinez </a> </p> <p class="card-text"><strong>Abstract:</strong></p> An anthropometric study applied to 1,115 students of the Faculty of Chemical Sciences and Engineering of the Autonomous University of California. Thirteen individual measurements were taken in a sitting position. The results obtained allow forming a reliable anthropometric database for statistical studies and analysis and inferences of specific distributions, so the opinion of experts in occupational medicine recommendations may emit to reduce risks resulting in an alteration of the vital signs during the execution of their school activities. Another use of these analyses is to use them as a reliable reference for future deeper research, to the design of spaces, tools, utensils, workstations, with anthropometric dimensions and ergonomic characteristics suitable to use. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=vital%20signs" title=" vital signs"> vital signs</a>, <a href="https://publications.waset.org/abstracts/search?q=students" title=" students"> students</a>, <a href="https://publications.waset.org/abstracts/search?q=medicine" title=" medicine"> medicine</a> </p> <a href="https://publications.waset.org/abstracts/13271/anthropometric-profile-and-its-influence-on-the-vital-signs-of-baja-california-college-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13271.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11531</span> Developing an ANN Model to Predict Anthropometric Dimensions Based on Real Anthropometric Database</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Waleed%20A.%20Basuliman">Waleed A. Basuliman</a>, <a href="https://publications.waset.org/abstracts/search?q=Khalid%20S.%20AlSaleh"> Khalid S. AlSaleh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Z.%20Ramadan"> Mohamed Z. Ramadan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Applying the anthropometric dimensions is considered one of the important factors when designing any human-machine system. In this study, the estimation of anthropometric dimensions has been improved by developing artificial neural network that aims to predict the anthropometric measurements of the male in Saudi Arabia. A total of 1427 Saudi males from age 6 to 60 participated in measuring twenty anthropometric dimensions. These anthropometric measurements are important for designing the majority of work and life applications in Saudi Arabia. The data were collected during 8 months from different locations in Riyadh City. Five of these dimensions were used as predictors variables (inputs) of the model, and the remaining fifteen dimensions were set to be the measured variables (outcomes). The hidden layers have been varied during the structuring stage, and the best performance was achieved with the network structure 6-25-15. The results showed that the developed Neural Network model was significantly able to predict the body dimensions for the population of Saudi Arabia. The network mean absolute percentage error (MAPE) and the root mean squared error (RMSE) were found 0.0348 and 3.225 respectively. The accuracy of the developed neural network was evaluated by compare the predicted outcomes with a multiple regression model. The ANN model performed better and resulted excellent correlation coefficients between the predicted and actual dimensions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20measurements" title=" anthropometric measurements"> anthropometric measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=backpropagation" title=" backpropagation"> backpropagation</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20anthropometric%20database" title=" real anthropometric database"> real anthropometric database</a> </p> <a href="https://publications.waset.org/abstracts/19682/developing-an-ann-model-to-predict-anthropometric-dimensions-based-on-real-anthropometric-database" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19682.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">576</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">11530</span> Comparison of the Anthropometric Obesity Indices in Prediction of Cardiovascular Disease Risk: Systematic Review and Meta-analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Pourhassan">Saeed Pourhassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Nastaran%20Maghbouli"> Nastaran Maghbouli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Statement of the problem: The relationship between obesity and cardiovascular diseases has been studied widely(1). The distribution of fat tissue gained attention in relation to cardiovascular risk factors during lang-time research (2). American College of Cardiology/American Heart Association (ACC/AHA) is widely and the most reliable tool to be used as a cardiovascular risk (CVR) assessment tool(3). This study aimed to determine which anthropometric index is better in discrimination of high CVR patients from low risks using ACC/AHA score in addition to finding the best index as a CVR predictor among both genders in different races and countries. Methodology & theoretical orientation: The literature in PubMed, Scopus, Embase, Web of Science, and Google Scholar were searched by two independent investigators using the keywords "anthropometric indices," "cardiovascular risk," and "obesity." The search strategy was limited to studies published prior to Jan 2022 as full-texts in the English language. Studies using ACC/AHA risk assessment tool as CVR and those consisted at least 2 anthropometric indices (ancient ones and novel ones) are included. Study characteristics and data were extracted. The relative risks were pooled with the use of the random-effect model. Analysis was repeated in subgroups. Findings: Pooled relative risk for 7 studies with 16,348 participants were 1.56 (1.35-1.72) for BMI, 1.67(1.36-1.83) for WC [waist circumference], 1.72 (1.54-1.89) for WHR [waist-to-hip ratio], 1.60 (1.44-1.78) for WHtR [waist-to-height ratio], 1.61 (1.37-1.82) for ABSI [A body shape index] and 1.63 (1.32-1.89) for CI [Conicity index]. Considering gender, WC among females and WHR among men gained the highest RR. The heterogeneity of studies was moderate (α²: 56%), which was not decreased by subgroup analysis. Some indices such as VAI and LAP were evaluated just in one study. Conclusion & significance: This meta-analysis showed WHR could predict CVR better in comparison to BMI or WHtR. Some new indices like CI and ABSI are less accurate than WHR and WC. Among women, WC seems to be a better choice to predict cardiovascular disease risk. <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=cardiovascular%20disease" title=" cardiovascular disease"> cardiovascular disease</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title=" anthropometric indices"> anthropometric indices</a> </p> <a href="https://publications.waset.org/abstracts/149972/comparison-of-the-anthropometric-obesity-indices-in-prediction-of-cardiovascular-disease-risk-systematic-review-and-meta-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149972.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">102</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11529</span> Anthropometric Analysis for the Design of Workstations in the Interior Spaces of the Manufacturing Industry in Tijuana, Mexico</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20A.%20L%C3%B3pez">J. A. López</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20E.%20Olgu%C3%ADn"> J. E. Olguín</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20W.%20Camargo"> C. W. Camargo</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20A.%20Quijano"> G. A. Quijano</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Mart%C3%ADnez"> R. Martínez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an anthropometric study conducted to 300 employees in a maquiladora industry that belongs to the cluster of medical products as part of a research project to pretend simulate workplace conditions under which operators conduct their activities. This project is relevant because traditionally performed a study to design ergonomic workspaces according to anthropometric profile of users, however, this paper demonstrates the importance of making decisions when the infrastructure cannot be adapted for economic whichever put emphasis on user activity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=biomechanics" title=" biomechanics"> biomechanics</a>, <a href="https://publications.waset.org/abstracts/search?q=design" title=" design"> design</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title=" ergonomics"> ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a> </p> <a href="https://publications.waset.org/abstracts/14682/anthropometric-analysis-for-the-design-of-workstations-in-the-interior-spaces-of-the-manufacturing-industry-in-tijuana-mexico" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14682.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">454</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">11528</span> The Effects of Eight Weeks of Interval Endurance Training on hs-CRP Levels and Anthropometric Parameters in Overweight Men</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Khoshemehry">S. Khoshemehry</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20J.%20Pourvaghar"> M. J. Pourvaghar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Inflammatory markers are known as the main predictors of cardiovascular diseases. This study aimed at determining the effect of 8 weeks of interval endurance training on hs-CRP level and some anthropometric parameters in overweight men. Following the call for participation in research project in Kashan, 73 volunteers participated in it and constituted the statistical population of the study. Then, 28 overweight young men from the age of 22 to 25 years old were randomly assigned into two groups of experimental and control group (n=14). Anthropometric and the blood sample was collected before and after the termination of the program for measuring hs-CRP. The interval endurance program was performed at 60 to 75% of maximum heart rate in 2 sessions per week for 8 weeks. Kolmogorov-Smirnov test was used to test whether two samples come from the same distribution and T-test was used to assess the difference of two groups which were statistically significant at the level of 0.05. The result indicated that there was a significant difference between the hs-RP, weight, BMI and W/H ratio of overweight men in posttest in the exercise group (P≤0.05) but not in the control group. Interval endurance training program causes decrease in hs-CRP level and anthropometric parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=interval%20endurance%20training%20program" title="interval endurance training program">interval endurance training program</a>, <a href="https://publications.waset.org/abstracts/search?q=HS-CRP" title=" HS-CRP"> HS-CRP</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric" title=" anthropometric"> anthropometric</a> </p> <a href="https://publications.waset.org/abstracts/48475/the-effects-of-eight-weeks-of-interval-endurance-training-on-hs-crp-levels-and-anthropometric-parameters-in-overweight-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11527</span> Anthropometric Profile as a Factor of Impact on Employee Productivity in Manufacturing Industry of Tijuana, Mexico</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20A.%20L%C3%B3pez">J. A. López</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20E.%20Olgu%C3%ADn"> J. E. Olguín</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20W.%20Camargo"> C. W. Camargo</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20A.%20Quijano"> G. A. Quijano</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Mart%C3%ADnez"> R. Martínez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an anthropometric study conducted to 300 employees in a maquiladora industry that belongs to the cluster of medical products as part of a research project to pretend simulate workplace conditions under which operators conduct their activities. This project is relevant because traditionally performed a study to design ergonomic workspaces according to anthropometric profile of users, however, this paper demonstrates the importance of making decisions when the infrastructure cannot be adapted for economic whichever put emphasis on user activity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=biomechanics" title=" biomechanics"> biomechanics</a>, <a href="https://publications.waset.org/abstracts/search?q=design" title=" design"> design</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomics" title=" ergonomics"> ergonomics</a>, <a href="https://publications.waset.org/abstracts/search?q=productivity" title=" productivity"> productivity</a> </p> <a href="https://publications.waset.org/abstracts/12960/anthropometric-profile-as-a-factor-of-impact-on-employee-productivity-in-manufacturing-industry-of-tijuana-mexico" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12960.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">456</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11526</span> Estimating Anthropometric Dimensions for Saudi Males Using Artificial Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Waleed%20Basuliman">Waleed Basuliman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anthropometric dimensions are considered one of the important factors when designing human-machine systems. In this study, the estimation of anthropometric dimensions has been improved by using Artificial Neural Network (ANN) model that is able to predict the anthropometric measurements of Saudi males in Riyadh City. A total of 1427 Saudi males aged 6 to 60 years participated in measuring 20 anthropometric dimensions. These anthropometric measurements are considered important for designing the work and life applications in Saudi Arabia. The data were collected during eight months from different locations in Riyadh City. Five of these dimensions were used as predictors variables (inputs) of the model, and the remaining 15 dimensions were set to be the measured variables (Model’s outcomes). The hidden layers varied during the structuring stage, and the best performance was achieved with the network structure 6-25-15. The results showed that the developed Neural Network model was able to estimate the body dimensions of Saudi male population in Riyadh City. The network's mean absolute percentage error (MAPE) and the root mean squared error (RMSE) were found to be 0.0348 and 3.225, respectively. These results were found less, and then better, than the errors found in the literature. Finally, the accuracy of the developed neural network was evaluated by comparing the predicted outcomes with regression model. The ANN model showed higher coefficient of determination (R2) between the predicted and actual dimensions than the regression model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20measurements" title=" anthropometric measurements"> anthropometric measurements</a>, <a href="https://publications.waset.org/abstracts/search?q=back-propagation" title=" back-propagation"> back-propagation</a> </p> <a href="https://publications.waset.org/abstracts/30794/estimating-anthropometric-dimensions-for-saudi-males-using-artificial-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30794.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">487</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">11525</span> Determinants of Child Anthropometric Indicators: A Case Study of Mali in 2015</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Davod%20Ahmadigheidari">Davod Ahmadigheidari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this study was to explore prevalence of anthropometric indicators as well the factors associated with the anthropometric indications in Mali. Data on 2015, downloaded from the website of Unicef, were analyzed. A total of 16,467 women (ages 15-49 years) and 16,467 children (ages 0-59 months) were selected for the sample. Different statistical analyses, such as descriptive, crosstabs and binary logistic regression form the basis of this study. Child anthropometric indicators (i.e., wasting, stunting, underweight and BMI for age) were used as the dependent variables. SPSS Syntax from WHO was used to create anthropometric indicators. Different factors, such as child’s sex, child’s age groups, child’s diseases symptoms (i.e., diarrhea, cough and fever), maternal education, household wealth index and area of residence were used as independent variables. Results showed more than forty percent of Malian households were in nutritional crises (stunting (42%) and underweight (34%). Findings from logistic regression analyses indicated that low score of wealth index, low maternal education and experience of diarrhea in last two weeks increase the probability of child malnutrition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mali" title="Mali">Mali</a>, <a href="https://publications.waset.org/abstracts/search?q=wasting" title=" wasting"> wasting</a>, <a href="https://publications.waset.org/abstracts/search?q=stunting" title=" stunting"> stunting</a>, <a href="https://publications.waset.org/abstracts/search?q=underweight" title=" underweight"> underweight</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI%20for%20age%20and%20wealth%20index" title=" BMI for age and wealth index"> BMI for age and wealth index</a> </p> <a href="https://publications.waset.org/abstracts/94528/determinants-of-child-anthropometric-indicators-a-case-study-of-mali-in-2015" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94528.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">155</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">11524</span> Blood Pressure and Anthropometric Measurements: A Correlational Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdul-Monim%20Batiha">Abdul-Monim Batiha</a>, <a href="https://publications.waset.org/abstracts/search?q=Manar%20AlAzzam"> Manar AlAzzam</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20ALBashtawy"> Mohammed ALBashtawy</a>, <a href="https://publications.waset.org/abstracts/search?q=Loai%20Tawalbeh"> Loai Tawalbeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20%20Tubaishat"> Ahmad Tubaishat</a>, <a href="https://publications.waset.org/abstracts/search?q=Fadwa%20N.%20Alhalaiqa"> Fadwa N. Alhalaiqa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Obesity is the major modifiable risk factor for many chronic illnesses especially high blood pressure. Objectives: To evaluate the relationship between anthropometric indices and high blood pressure, and which one was most strongly correlated with high blood pressure in Jordanian population. Methods: A cross-sectional study was conducted with a total 622 students and workers from three Jordanian universities. Results: Nearly half of the participant are overweight (34.7%) and obese (15.4%) and hypertension was detected among 138 (22.2%) of the participants. Linear correlation was significant (p<0.01) between both systolic blood pressure and diastolic blood pressure for all anthropometric indices, except for A body shape index and diastolic blood pressure was significant at p< 0.05. Stepwise multiple linear regression analysis was used to assess the influence of age and anthropometric measurements. Conclusions: The waist circumference was the only independent predictor of hypertension, showing that this simple measurement may be an importance marker of high blood pressure in Jordanian population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title="anthropometric indices">anthropometric indices</a>, <a href="https://publications.waset.org/abstracts/search?q=Jordan" title=" Jordan"> Jordan</a>, <a href="https://publications.waset.org/abstracts/search?q=blood%20pressure" title=" blood pressure"> blood pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-sectional%20study" title=" cross-sectional study"> cross-sectional study</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=hypertension" title=" hypertension"> hypertension</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/54804/blood-pressure-and-anthropometric-measurements-a-correlational-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54804.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">288</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11523</span> Anthropometric Measurements of Facial Proportions in Azerbaijan Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nigar%20Sultanova">Nigar Sultanova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Facial morphology is a constant topic of concern for clinicians. When anthropometric methods were introduced into clinical practice to quantify changes in the craniofacial framework, features distinguishing various ethnic group were discovered. Normative data of facial measurements are indispensable to precise determination of the degree of deviations from normal. Establish the reference range of facial proportions in Azerbaijan population by anthropometric measurements of craniofacial complex. The study group consisted of 350 healthy young subjects, 175 males and 175 females, 18 to 25 years of age, from 7 different regions of Azerbaijan. The anthropometric examination was performed according to L.Farkas's method with our modification. In order to determine the morphologic characteristics of seven regions of the craniofacial complex 42 anthropometric measurements were selected. The anthropometric examination. Included the usage of 33 anthropometric landmarks. The 80 indices of the facial proportions, suggested by Farkas and Munro, were calculated: head -10, face - 23, nose - 23, lips - 9, orbits - 11, ears - 4. The date base of the North American white population was used as a reference group. Anthropometric measurements of facial proportions in Azerbaijan population revealed a significant difference between mеn and womеn, according to sexual dimorphism. In comparison with North American whites, considerable differences of facial proportions were observed in the head, face, orbits, labio-oral, nose and ear region. However, in women of the Azerbaijani population, 29 out of 80 proportion indices were similar to the proportions of NAW women. In the men of the Azerbaijani population, 27 out of 80 proportion indices did not reveal a statistically significant difference from the proportions of NAW men. Estimation of the reference range of facial proportions in Azerbaijan population migth be helpful to formulate surgical plan in treatment of congenital or post-traumatic facial deformities successfully. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=facial%20morphology" title="facial morphology">facial morphology</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=indices%20of%20proportion" title=" indices of proportion"> indices of proportion</a>, <a href="https://publications.waset.org/abstracts/search?q=measurement" title=" measurement"> measurement</a> </p> <a href="https://publications.waset.org/abstracts/147472/anthropometric-measurements-of-facial-proportions-in-azerbaijan-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147472.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">11522</span> Comparison of Anthropometric Measurements Between Handball and Basketball Female Players</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jasmina%20Pluncevic%20Gligoroska">Jasmina Pluncevic Gligoroska</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Manchevska"> Sanja Manchevska</a>, <a href="https://publications.waset.org/abstracts/search?q=Vaska%20Antevska"> Vaska Antevska</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidija%20Todorovska"> Lidija Todorovska</a>, <a href="https://publications.waset.org/abstracts/search?q=Beti%20Dejanova"> Beti Dejanova</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunchica%20Petrovska"> Sunchica Petrovska</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivanka%20Karagjozova"> Ivanka Karagjozova</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizabeta%20Sivevska"> Elizabeta Sivevska</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Anthropometric measurements are integral part of regular medical examinations of athletes. In addition to the quantification of the size of the body, these measurements indicate the quality of the physical status, because of its association with sports performance. The purpose of this study was to examine whether there are differences in anthropometric parameters and body mass components in female athletes who participate in two different types of sports. Methods: A total of 27 athletes, 15 handball players and 12 basketball players, at the average age of 22.7 years (age span from 17 to 30 years) entered the study. Anthropometric method by Matiegka was used for determination of body components. Sixteen anthropometric measures were taken: height, weight, four diameters of joints, four circumferences of limbs and six skin folds. Results: Handball players were 169.6±6.7 cm tall and 63,75±7.5 kg heavy. Their average relative muscle mass (absolute mass in kg) was 51% (32.5kg), while bone component was 16.8% (10.7kg) and fat component was 14.3% (7.74kg). The basketball players were 177.4±8.2cm tall and 70.37±12.1kg heavy. Their average relative muscle mass (absolute mass in kg) was 51.9 % (36.6kg), bone component was 16.37% (11.5kg) and fat component was 15.36% (9.4kg). The comparison of anthropometric values showed that basketball players were statistically significantly higher and heavier than handball players (p<0.05). Statistically significant difference (p<0.05) was observed in the range of upper leg circumference (higher in basketball players) and the forearm skin fold (higher in the basketball players). Conclusion: Handball players and basketball players significantly differed in basic anthropometric measures (height and weight), but the body components had almost identical values. The anthropometric measurements that have been taken did not show significant difference between handball and basketball female players despite the different physical demands of the games. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20components" title=" body components"> body components</a>, <a href="https://publications.waset.org/abstracts/search?q=basketball" title=" basketball"> basketball</a>, <a href="https://publications.waset.org/abstracts/search?q=handball%20female%20players" title=" handball female players "> handball female players </a> </p> <a href="https://publications.waset.org/abstracts/10743/comparison-of-anthropometric-measurements-between-handball-and-basketball-female-players" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10743.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">463</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">11521</span> Anthropometric Indices of Obesity and Coronary Artery Atherosclerosis: An Autopsy Study in South Indian population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francis%20Nanda%20Prakash%20Monteiro">Francis Nanda Prakash Monteiro</a>, <a href="https://publications.waset.org/abstracts/search?q=Shyna%20Quadras"> Shyna Quadras</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanush%20Shetty"> Tanush Shetty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The association between human physique and morbidity and mortality resulting from coronary artery disease has been studied extensively over several decades. Multiple studies have also been done on the correlation between grade of atherosclerosis, coronary artery diseases and anthropometrical measurements. However, the number of autopsy-based studies drastically reduces this number. It has been suggested that while in living subjects, it would be expensive, difficult, and even harmful to subject them to imaging modalities like CT scans and procedures involving contrast media to study mild atherosclerosis, no such harm is encountered in study of autopsy cases. This autopsy-based study was aimed to correlate the anthropometric measurements and indices of obesity, such as waist circumference (WC), hip circumference (HC), body mass index (BMI) and waist hip ratio (WHR) with the degree of atherosclerosis in the right coronary artery (RCA), main branch of the left coronary artery (LCA) and the left anterior descending artery (LADA) in 95 South Indian origin victims of both the genders between the age of 18 years and 75 years. The grading of atherosclerosis was done according to criteria suggested by the American Heart Association. The study also analysed the correlation of the anthropometric measurements and indices of obesity with the number of coronaries affected with atherosclerosis in an individual. All the anthropometric measurements and the derived indices were found to be significantly correlated to each other in both the genders except for the age, which is found to have a significant correlation only with the WHR. In both the genders severe degree of atherosclerosis was commonly observed in LADA, followed by LCA and RCA. Grade of atherosclerosis in RCA is significantly related to the WHR in males. Grade of atherosclerosis in LCA and LADA is significantly related to the WHR in females. Significant relation was observed between grade of atherosclerosis in RCA and WC, and WHR, and between grade of atherosclerosis in LADA and HC in males. Significant relation was observed between grade of atherosclerosis in RCA and WC, and WHR, and between grade of atherosclerosis in LADA and HC in females. Anthropometric measurements/indices of obesity can be an effective means to identify high risk cases of atherosclerosis at an early stage that can be effective in reducing the associated cardiac morbidity and mortality. A person with anthropometric measurements suggestive of mild atherosclerosis can be advised to modify his lifestyle, along with decreasing his exposure to the other risk factors. Those with measurements suggestive of higher degree of atherosclerosis can be subjected to confirmatory procedures to start effective treatment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atherosclerosis" title="atherosclerosis">atherosclerosis</a>, <a href="https://publications.waset.org/abstracts/search?q=coronary%20artery%20disease" title=" coronary artery disease"> coronary artery disease</a>, <a href="https://publications.waset.org/abstracts/search?q=indices" title=" indices"> indices</a>, <a href="https://publications.waset.org/abstracts/search?q=obesity" title=" obesity"> obesity</a> </p> <a href="https://publications.waset.org/abstracts/168871/anthropometric-indices-of-obesity-and-coronary-artery-atherosclerosis-an-autopsy-study-in-south-indian-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168871.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">66</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">11520</span> Hand Anthropometric Dimensions and Occupation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamid%20Falaki">Hamid Falaki</a>, <a href="https://publications.waset.org/abstracts/search?q=Roya%20Kelkanlo"> Roya Kelkanlo</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojtaba%20Tabatabaei"> Mojtaba Tabatabaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study aimed at distinguishing the effects of work type on hand dimensions and investigating the relationship between anthropometric dimensions and occupation. The anthropometric data used in study were collected on 12 hand anthropometric dimensions. The participants included 91 males in two groups, namely manual labor job and office workers. All the data were analyzed using SPSS version 16. All measurements were significantly greater than those of office jobs except for the grip diameter obtained from the manual workers. The hand perimeter was the greatest value among the 12 measured dimensions, while the thickness of the side little finger was the smallest one. In four dimensions, namely width of four fingers together from the central hinge; diameter of thumb to face; diameter of index finger to face; hand thickness from index finger revealed the availability of a significant difference between manual labor jobs and office workers. Moreover, no significant relation was observed between weight and stature with hand dimension, which represents the correlation between occupation and the four dimensions. The results of this study showed that the difference between the two occupational groups was significant in terms of the four dimensions. Therefore, it is suggested that tool designers should consider this finding in their designing process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hand%20dimensions" title="hand dimensions">hand dimensions</a>, <a href="https://publications.waset.org/abstracts/search?q=occupation" title=" occupation"> occupation</a>, <a href="https://publications.waset.org/abstracts/search?q=tool%20design" title=" tool design"> tool design</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a> </p> <a href="https://publications.waset.org/abstracts/119310/hand-anthropometric-dimensions-and-occupation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119310.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">211</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">11519</span> Pre-Eliminary Design Adjustable Workstation for Piston Assembly Line Considering Anthropometric for Indonesian People</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Yuri%20M.%20Zagloel">T. Yuri M. Zagloel</a>, <a href="https://publications.waset.org/abstracts/search?q=Inaki%20M.%20Hakim"> Inaki M. Hakim</a>, <a href="https://publications.waset.org/abstracts/search?q=Syarafi%20A.%20M."> Syarafi A. M.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Manufacturing process has been considered as one of the most important activity in business process. It correlates with productivity and quality of the product so industries could fulfill customer’s demand. With the increasing demand from customer, industries must improve their manufacturing ability such as shorten lead time and reduce wastes on their process. Lean manufacturing has been considered as one of the tools to waste elimination in manufacturing or service industri. Workforce development is one practice in lean manufacturing that can reduce waste generated from operator such as waste of unnecessary motion. Anthropometric approach is proposed to determine the recommended measurement in operator’s work area. The method will get some dimensions from Indonesia people that related to piston workstation. The result from this research can be obtained new design for the workarea considering ergonomic aspect. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adjustable" title="adjustable">adjustable</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric" title=" anthropometric"> anthropometric</a>, <a href="https://publications.waset.org/abstracts/search?q=ergonomic" title=" ergonomic"> ergonomic</a>, <a href="https://publications.waset.org/abstracts/search?q=waste" title=" waste"> waste</a> </p> <a href="https://publications.waset.org/abstracts/37613/pre-eliminary-design-adjustable-workstation-for-piston-assembly-line-considering-anthropometric-for-indonesian-people" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37613.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11518</span> Percentile Reference Values of Vertical Jumping Performances and Anthropometric Characteristics in Athletic Tunisian Children and Adolescents</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chirine%20Aouichaoui">Chirine Aouichaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Tounsi"> Mohamed Tounsi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ines%20Mrizak"> Ines Mrizak</a>, <a href="https://publications.waset.org/abstracts/search?q=Zouhair%20Tabka"> Zouhair Tabka</a>, <a href="https://publications.waset.org/abstracts/search?q=Yassine%20Trabelsi"> Yassine Trabelsi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to provide percentile values for vertical jumping performances and anthropometric characteristics for athletic Tunisian children. One thousand and fifty-five athletic Tunisian children and adolescents (643 boys and 412 girls) aged 7-18 years were randomly selected to participate in our study. They were asked to perform squat jumps and countermovement jumps. For each measurement, a least square regression model with high order polynomials was fitted to predict mean and standard deviation of vertical jumping parameters and anthropometric variables. Smoothed percentile curves and percentile values for the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles are presented for boys and girls. In conclusion, percentiles values of vertical jumping performances and anthropometric characteristics are provided. The new Tunisian reference charts obtained can be used as a screening tool to determine growth disorders and to estimate the proportion of adolescents with high or low muscular strength levels. This study may help in verifying the effectiveness of a specific training program and detecting highly talented athletes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=percentile%20values" title="percentile values">percentile values</a>, <a href="https://publications.waset.org/abstracts/search?q=jump%20height" title=" jump height"> jump height</a>, <a href="https://publications.waset.org/abstracts/search?q=leg%20muscle%20power" title=" leg muscle power"> leg muscle power</a>, <a href="https://publications.waset.org/abstracts/search?q=athletes" title=" athletes"> athletes</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a> </p> <a href="https://publications.waset.org/abstracts/52019/percentile-reference-values-of-vertical-jumping-performances-and-anthropometric-characteristics-in-athletic-tunisian-children-and-adolescents" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52019.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">428</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11517</span> Anthropometric Data Variation within Gari-Frying Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20M.%20Samuel">T. M. Samuel</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20O.%20Aremu"> O. O. Aremu</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20O.%20Ismaila"> I. O. Ismaila</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20I.%20Onu"> L. I. Onu</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20O.%20Adetifa"> B. O. Adetifa</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20E.%20Adegbite"> S. E. Adegbite</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20O.%20Olokoshe"> O. O. Olokoshe</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The imperative of anthropometry in designing to fit cannot be overemphasized. Of essence is the variability of measurements among population for which data is collected. In this paper anthropometric data were collected for the design of gari-frying facility such that work system would be designed to fit the gari-frying population in the Southwestern states of Nigeria comprising Lagos, Ogun, Oyo, Osun, Ondo, and Ekiti. Twenty-seven body dimensions were measured among 120 gari-frying processors. Statistical analysis was performed using SPSS package to determine the mean, standard deviation, minimum value, maximum value and percentiles (2nd, 5th, 25th, 50th, 75th, 95th, and 98th) of the different anthropometric parameters. One sample t-test was conducted to determine the variation within the population. The 50th percentiles of some of the anthropometric parameters were compared with those from other populations in literature. The correlation between the worker’s age and the body anthropometry was also investigated.The mean weight, height, shoulder height (sitting), eye height (standing) and eye height (sitting) are 63.37 kg, 1.57 m, 0.55 m, 1.45 m, and 0.67 m respectively.Result also shows a high correlation with other populations and a statistically significant difference in variability of data within the population in all the body dimensions measured. With a mean age of 42.36 years, results shows that age will be a wrong indicator for estimating the anthropometry for the population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=cassava%20processing" title=" cassava processing"> cassava processing</a>, <a href="https://publications.waset.org/abstracts/search?q=design%20to%20fit" title=" design to fit"> design to fit</a>, <a href="https://publications.waset.org/abstracts/search?q=gari-frying" title=" gari-frying"> gari-frying</a>, <a href="https://publications.waset.org/abstracts/search?q=workstation%20design" title=" workstation design"> workstation design</a> </p> <a href="https://publications.waset.org/abstracts/32571/anthropometric-data-variation-within-gari-frying-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32571.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">253</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">11516</span> Anthropometric Parameters of Classroom Furniture in Public and Private Universities of Karachi</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farhan%20Iqbal">Farhan Iqbal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ergonomics has its implication in classroom. Present study aimed at finding out the comfort level of students at university level due to classroom furniture which may affect students learning. Two public and one private institution was targeted. Purposive sampling was done. Four hundred and seventy five students volunteered to reply to a questionnaire. Different furniture were measured and descriptively compared with ISO 5970 standard. Overall discomfort was found to be statistically significant as compared to comfort. Comfort and discomfort were found to be negatively correlated. Gender did not differ on upper body discomfort, though, the median score found men to be more comfortable at upper body. GPA was found to be independent of comfort level. Most afflicted areas were neck, shoulder, upper back, lower back and pelvic. The present study will be helpful for all educational institutions of Pakistan. Future studies may be carried out with structural and functional anthropometric data of students for redesigning of the classroom furniture. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=classroom%20furniture" title=" classroom furniture"> classroom furniture</a>, <a href="https://publications.waset.org/abstracts/search?q=comfort" title=" comfort"> comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=discomfort" title=" discomfort"> discomfort</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a> </p> <a href="https://publications.waset.org/abstracts/4014/anthropometric-parameters-of-classroom-furniture-in-public-and-private-universities-of-karachi" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4014.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">310</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">11515</span> Anthropometry in Macedonian Senior Football and Basketball Players</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Todorovska">L. Todorovska</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Sivevska"> E. Sivevska</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Dejanova"> B. Dejanova</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Pluncevic"> J. Pluncevic</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Petrovska"> S. Petrovska</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Antevska"> V. Antevska</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Mancevska"> S. Mancevska</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Karadjozova"> I. Karadjozova</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The aim of this longitudinal study was to describe anthropometric and performance characteristics and to explore their differences between senior football (F) and basketball (B) players. Subjects and methods: 25 F (aged 23±2.5 y) and 25 B (aged 22±4.2 y) from Macedonian national teams and elite sport clubs were annually tested during 2 consecutive years. Full anthropometric profiles (stature, weight, five circumferences, four bone diameters, seven skin-folds and nine calculated parameters with standard formulas) were collected. Body composition was determined with InBody720 System. Physical capacity was tested with ergo metric test of Bruce (Custo med GmbH, Germany). Results: B were taller (p<0.001) and heavier (p<0.01), but leaner (p<0.001). F had higher percentage of muscle mass (p<0.01) and body fat (p< 0.001). F had higher VO2max (p<0.05) and lower hard rate (p<0.01). The differences in physical performance were not significant (p>0.05) within the groups during the 2-years period. Conclusions: These results suggest that there are distinct differences in anthropometric profile between Macedonian senior football and basketball players during the two competitive seasons. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=basketball%20players" title=" basketball players"> basketball players</a>, <a href="https://publications.waset.org/abstracts/search?q=football%20players" title=" football players"> football players</a>, <a href="https://publications.waset.org/abstracts/search?q=Macedonia" title=" Macedonia"> Macedonia</a> </p> <a href="https://publications.waset.org/abstracts/10677/anthropometry-in-macedonian-senior-football-and-basketball-players" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10677.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">489</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">11514</span> An Assessment of the Anthropometric Characteristics of Malaysian Cricket Batsmen</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Zia%20ul%20Haq">Muhammad Zia ul Haq</a>, <a href="https://publications.waset.org/abstracts/search?q=Ong%20Kuan%20Boon"> Ong Kuan Boon</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeffrey%20Low%20Fook%20Lee"> Jeffrey Low Fook Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Bendri%20Bin%20Dasril"> Bendri Bin Dasril</a>, <a href="https://publications.waset.org/abstracts/search?q=Amna%20Iqbal"> Amna Iqbal</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Saleem"> Muhammad Saleem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study is bond of two purpose, first is to establish the anthropometric profile of Malaysian cricket batsmen and second, to find the variances among the anthropometric characteristics of ten under-16 years, eight under-19 years and eight senior teams batsmen. The anthropometric variables were measured as 8 skinfolds, 12 circumferences, 06 lengths and 05 breadths, stature, sitting height, arm span, body mass, hand grip strength and leg strength. The batsmen of under-19 and under-16 found similar in skinfolds, sum of skinfolds, circumferences and breadth measurements but significantly lesser than the senior team batsmen. Senior and Under-19 batsmen were almost found similar in segmental lengths, heights and arm span but significantly higher than the under-16 batsmen. Breadth measurements the under-19 found higher than the senior and u-16 batsmen. The hand grips strength of the senior batsmen significantly high than the uder-19 and under-16 players and both groups were similar and no significant difference were found in leg strength of all three groups batsmen. Leg strength were found significant correlation with wrist, hip, thigh, and calf girth and handgrip strength. The hand grip strength were found correlated with all variables except biceps, mid-thigh skinfold, segmental length, humerus breadth. It is concluded from the present study that the girth segments and hand grip strength are the predictors of good performance in cricket batting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cricket%20batting" title="cricket batting">cricket batting</a>, <a href="https://publications.waset.org/abstracts/search?q=batsmen" title=" batsmen"> batsmen</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title=" anthropometry"> anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20segments" title=" body segments"> body segments</a>, <a href="https://publications.waset.org/abstracts/search?q=hand%20grip%20strength" title=" hand grip strength"> hand grip strength</a> </p> <a href="https://publications.waset.org/abstracts/21707/an-assessment-of-the-anthropometric-characteristics-of-malaysian-cricket-batsmen" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21707.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">575</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">11513</span> Effect of Vitamin D3 on Polycystic Ovary Syndrome Prognosis, Anthropometric and Body Composition Parameters of Overweight Women: A Randomized, Placebo-Controlled Clinical Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nahla%20Al-Bayyari">Nahla Al-Bayyari</a>, <a href="https://publications.waset.org/abstracts/search?q=Rae%E2%80%99d%20Hailat"> Rae’d Hailat </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vitamin D deficiency and overweight are common in women suffering from polycystic ovary syndrome (PCOS). Weight gain in PCOS is an important factor for the development of menstrual dysfunction and signs of hyperandrogenism and alopecia. Features of PCOS such as oligomenorrhea can be predicted by anthropometric measurements as body mass index (BMI). Therefore, the aim of this trial was to study the effect of 50,000 IU/week of vitamin D₃ supplementation on the body composition and on the anthropometric measurements of overweight women with PCOS and to examine the impact of this effect on ovaries ultrasonography and menstrual cycle regularity. The study design was a prospective randomized, double-blinded placebo-controlled clinical trial conducted on 60 overweight Jordanian women aged (18-49) years with PCOS and vitamin D deficiency. The study participants were divided into two groups; vitamin D group (n = 30) who were assigned to receive 50,000 IU/week of vitamin D₃ and placebo group (n = 30) who were assigned to receive placebo tablets orally for 90 days. The anthropometric measurements and body composition were measured at baseline and after treatment for the PCOS and vitamin D deficient women. Also, assessment of the participants’ picture of ovaries by ultrasound and menstrual cycle regulatory were performed before and after treatment. Results showed that there were no significant (p > 0.05) differences between the placebo and vitamin D group basal 25(OH)D levels, body composition and anthropometric parameters. After treatment, vitamin D group serum levels of 25(OH)D increased (12.5 ± 0.61 to 50.2 ± 2.04 ng/mL, (p < 0.001), and decreased (50.2 ± 2.04 to 48.2 ± 2.03 ng/mL, p < 0.001) after 14 days of vitamin D₃ treatment cessation. There were no significant changes in the placebo group. In the vitamin D group, there were significant (p < 0.001) decreases in body weight, BMI, waist, and hip circumferences and fat mass. In addition, there were significant increases (p < 0.05) in fat free mass and total body water. These improvements in both anthropometric and body composition as well as in 25(OH)D concentrations, resulted in significant improvements in the picture of PCOS women ovaries ultrasonography and in menstrual cycle regularity, where nearly most of them (93%) had regular cycles after vitamin D₃ supplementation. In the placebo group, there were only significant decreases (p < 0.05) in waist and hip circumferences. It can be concluded that vitamin D supplementation improving serum 25(OH)D levels and PCOS prognosis by reducing body weight of overweight PCOS women and regulating their menstrual cycle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric" title="anthropometric">anthropometric</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a>, <a href="https://publications.waset.org/abstracts/search?q=polycystic%20ovary%20syndrome" title=" polycystic ovary syndrome"> polycystic ovary syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=vitamin%20D%E2%82%83" title=" vitamin D₃"> vitamin D₃</a> </p> <a href="https://publications.waset.org/abstracts/101908/effect-of-vitamin-d3-on-polycystic-ovary-syndrome-prognosis-anthropometric-and-body-composition-parameters-of-overweight-women-a-randomized-placebo-controlled-clinical-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101908.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">113</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">11512</span> Correlation of Hematological Indices with Fasting Blood Glucose Level and Anthropometric Measurements in Geriatric Diabetes Mellitus Subjects in Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dada.%20O.Akinola">Dada. O.Akinola</a>, <a href="https://publications.waset.org/abstracts/search?q=Uche.%20I.%20Ebele"> Uche. I. Ebele</a>, <a href="https://publications.waset.org/abstracts/search?q=Bamiro%20.A.Rafatu"> Bamiro .A.Rafatu</a>, <a href="https://publications.waset.org/abstracts/search?q=Akinbami%20A.%20Akinsegun"> Akinbami A. Akinsegun</a>, <a href="https://publications.waset.org/abstracts/search?q=Dada%20O.%20Adeyemi"> Dada O. Adeyemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Adeyemi.%20O.%20Ibukun"> Adeyemi. O. Ibukun</a>, <a href="https://publications.waset.org/abstracts/search?q=Okunowo%20O.Bolanle"> Okunowo O.Bolanle</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulateef%20O.%20Kareem"> Abdulateef O. Kareem</a>, <a href="https://publications.waset.org/abstracts/search?q=Ibrahim.N.%20Ismaila"> Ibrahim.N. Ismaila</a>, <a href="https://publications.waset.org/abstracts/search?q=Dosu%20Rihanat"> Dosu Rihanat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Hyperglycaemia alters qualitatively and quantitatively all the full blood count parameters. The alterations among other factors are responsible for the macrovascular and microvascular complications associated with diabetes mellitus (DM). This study is aimed at correlating haematological parameters in DM subjects with their fasting blood glucose (FBG) and anthropometric parameters. Materials and Methods: This was a cross-sectional study of participants attending DM clinic of Lagos State University Teaching Hospital (LASUTH), Ikeja. The study recruited one hundred and two (102) DM subjects and one hundred (100) non-DM controls. Venous blood samples were collected for full blood count (FBC) assay while FBG was done, structured questionnaires were administered, and anthropometric measurements of all participants were done. Data were analyzed with Statistical Package for Social Science (SPSS) version 23. P was set at ≤0.05. Results: The mean age of DM patients was 64.32± 11.31 years. Using a haemoglobin concentration cut-off of 11g/dl, 39.2%, and 13% DM and control participants respectively had values lower than 11g/dl. A total of 22.5% and 3% of DM and controls respectively gave a history of previous blood transfusion.White blood cells count and platelet count means were (6.12±1.60 and 5.30±7.52,p=0.59) and (213.31±73.58 and 228.91±73.21,p = 0.26) *109/L in DM subjects and controls respectively. FBG and all the anthropometric data in DM subjects were significantly higher than in controls. Conclusions: The prevalence of anaemia in DM subjects was three times higher than in controls. The white blood cell count was higher but not statistically significant in DM compared with controls. But platelet count was higher but not statistically significant in controls compared with DM subjects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=haematological%20profile" title="haematological profile">haematological profile</a>, <a href="https://publications.waset.org/abstracts/search?q=diabetes%20mellitus" title=" diabetes mellitus"> diabetes mellitus</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20data" title=" anthropometric data"> anthropometric data</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20blood%20glucose" title=" fasting blood glucose"> fasting blood glucose</a> </p> <a href="https://publications.waset.org/abstracts/150816/correlation-of-hematological-indices-with-fasting-blood-glucose-level-and-anthropometric-measurements-in-geriatric-diabetes-mellitus-subjects-in-lagos-state-university-teaching-hospital-ikeja-lagos-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150816.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">11511</span> The Link between Anthropometry and Fat-Based Obesity Indices in Pediatric Morbid Obesity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20M.%20Donma">Mustafa M. Donma</a>, <a href="https://publications.waset.org/abstracts/search?q=Orkide%20Donma"> Orkide Donma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anthropometric measurements are essential for obesity studies. Waist circumference (WC) is the most frequently used measure, and along with hip circumference (HC), it is used in most equations derived for the evaluation of obese individuals. Morbid obesity is the most severe clinical form of obesity, and such individuals may also exhibit some clinical findings leading to metabolic syndrome (MetS). Then, it becomes a requirement to discriminate morbid obese children with (MOMetS+) and without (MOMetS-) MetS. Almost all obesity indices can differentiate obese (OB) children from children with normal body mass index (N-BMI). However, not all of them are capable of making this distinction. A recently introduced anthropometric obesity index, waist circumference + hip circumference/2 ((WC+HC)/2), was confirmed to differ OB children from those with N-BMI, however it has not been tested whether it will find clinical usage for the differential diagnosis of MOMetS+ and MOMetS-. This study was designed to find out the availability of (WC+HC)/2 for the purpose and to compare the possible preponderance of it over some other anthropometric or fat-based obesity indices. Forty-five MOMetS+ and forty-five MOMetS- children were included in the study. Participants have submitted informed consent forms. The study protocol was approved by the Non-interventional Ethics Committee of Tekirdag Namik Kemal University. Anthropometric measurements were performed. Body mass index (BMI), waist-to-hip circumference (W/H), (WC+HC)/2, trunk-to-leg fat ratio (TLFR), trunk-to-appendicular fat ratio (TAFR), trunk fat+leg fat/2 ((trunk+leg fat)/2), diagnostic obesity notation model assessment index-2 (D2I) and fat mass index (FMI) were calculated for both groups. Study data was analyzed statistically, and 0.05 for p value was accepted as the statistical significance degree. Statistically higher BMI, WC, (WC+HC)/2, (trunk+leg fat)/2 values were found in MOMetS+ children than MOMetS- children. No statistically significant difference was detected for W/H, TLFR, TAFR, D2I, and FMI between two groups. The lack of difference between the groups in terms of FMI and D2I pointed out the fact that the recently developed fat-based index; (trunk+leg fat)/2 gives much more valuable information during the evaluation of MOMetS+ and MOMetS- children. Upon evaluation of the correlations, (WC+HC)/2 was strongly correlated with D2I and FMI in both MOMetS+ and MOMetS- groups. Neither D2I nor FMI was correlated with W/H. Strong correlations were calculated between (WC+HC)/2 and (trunk+leg fat)/2 in both MOMetS- (r=0.961; p<0.001) and MOMetS+ (r=0.936; p<0.001) groups. Partial correlations between (WC+HC)/2 and (trunk+leg fat)/2 after controlling the effect of basal metabolic rate were r=0.726; p<0.001 in MOMetS- group and r=0.932; p<0.001 in MOMetS+ group. The correlation in the latter group was higher than the first group. In conclusion, recently developed anthropometric obesity index (WC+HC)/2 and fat-based obesity index (trunk+leg fat)/2 were of preponderance over the previously introduced classical obesity indices such as W/H, D2I and FMI during the differential diagnosis of MOMetS+ and MOMetS- children. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=children" title="children">children</a>, <a href="https://publications.waset.org/abstracts/search?q=hip%20circumference" title=" hip circumference"> hip circumference</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20syndrome" title=" metabolic syndrome"> metabolic syndrome</a>, <a href="https://publications.waset.org/abstracts/search?q=morbid%20obesity" title=" morbid obesity"> morbid obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=waist%20circumference" title=" waist circumference"> waist circumference</a> </p> <a href="https://publications.waset.org/abstracts/158891/the-link-between-anthropometry-and-fat-based-obesity-indices-in-pediatric-morbid-obesity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158891.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">289</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11510</span> Major Dietary Patterns in Relationship with Anthropometric Indices in North West of Iran</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arezou%20Rezazadeh">Arezou Rezazadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Nasrin%20Omidvar"> Nasrin Omidvar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hassan%20Eini-Zinab"> Hassan Eini-Zinab</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Ghazi-Tabatabaie"> Mahmoud Ghazi-Tabatabaie</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Majdzadeh"> Reza Majdzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeid%20Ghavamzadeh"> Saeid Ghavamzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sakineh%20Nouri-Saeidlou"> Sakineh Nouri-Saeidlou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dietary pattern analysis method can reflect more information about the nutritional etiology of chronic diseases such as obesity. The aim of this study was to determine the relationship between major dietary patterns and anthropometric measures in men and women living in the city of Urmia. In this cross-sectional study, 723 participants (427 women and 296 men), aged 20–64 in Urmia city were selected from all four zones of Urmia city, in the north-west of Iran. Anthropometrics (weight, height, waist and hip circumference) were measured with standard methods. Body Mass Index (BMI) was calculated by dividing weight (in kilograms) by the square of height (in meter). Dietary intake information was collected by a semi-quantitative food frequency questionnaire in the last year. Dietary patterns were determined using principal component analysis. The relationship between dietary patterns and obesity was analyzed by logistic regression. Three major dietary patterns (DPs) were identified that were named ‘Traditional Higher SES (THS)’, ‘Traditional Low SES (TLS)’ and ‘Transitional’. THS DP was positively and Transitional DP was negatively associated with BMI and waist circumference (W.C), however, after adjusting for confounding variables (age, gender, ethnicity, energy intake, physical activity and SES), the associations were not significant. The TLS was not significantly associated with BMI, but after adjusting for confounders, a significant positive association was detected with W.C and Waist to hip ratio (WHR). Findings showed that both traditional patterns were positively and the western type transitional pattern was reversely associated with anthropometric indices. But this relationship was highly affected by demographic, socioeconomic and energy input and output determinants. The results indicate the inevitable effect of environmental factors on the relationship between dietary patterns and anthropometric indices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20indices" title="anthropometric indices">anthropometric indices</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20pattern" title=" dietary pattern"> dietary pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a>, <a href="https://publications.waset.org/abstracts/search?q=North-west" title=" North-west"> North-west</a> </p> <a href="https://publications.waset.org/abstracts/96680/major-dietary-patterns-in-relationship-with-anthropometric-indices-in-north-west-of-iran" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96680.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11509</span> Development of a Practical Screening Measure for the Prediction of Low Birth Weight and Neonatal Mortality in Upper Egypt</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prof.%20Ammal%20Mokhtar%20Metwally">Prof. Ammal Mokhtar Metwally</a>, <a href="https://publications.waset.org/abstracts/search?q=Samia%20M.%20Sami"> Samia M. Sami</a>, <a href="https://publications.waset.org/abstracts/search?q=Nihad%20A.%20Ibrahim"> Nihad A. Ibrahim</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatma%20A.%20Shaaban"> Fatma A. Shaaban</a>, <a href="https://publications.waset.org/abstracts/search?q=Iman%20I.%20Salama"> Iman I. Salama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objectives: Reducing neonatal mortality by 2030 is still a challenging goal in developing countries. low birth weight (LBW) is a significant contributor to this, especially where weighing newborns is not possible routinely. The present study aimed to determine a simple, easy, reliable anthropometric measure(s) that can predict LBW) and neonatal mortality. Methods: A prospective cohort study of 570 babies born in districts of El Menia governorate, Egypt (where most deliveries occurred at home) was examined at birth. Newborn weight, length, head, chest, mid-arm, and thigh circumferences were measured. Follow up of the examined neonates took place during their first four weeks of life to report any mortalities. The most predictable anthropometric measures were determined using the statistical package of SPSS, and multiple Logistic regression analysis was performed.: Results: Head and chest circumferences with cut-off points < 33 cm and ≤ 31.5 cm, respectively, were the significant predictors for LBW. They carried the best combination of having the highest sensitivity (89.8 % & 86.4 %) and least false negative predictive value (1.4 % & 1.7 %). Chest circumference with a cut-off point ≤ 31.5 cm was the significant predictor for neonatal mortality with 83.3 % sensitivity and 0.43 % false negative predictive value. Conclusion: Using chest circumference with a cut-off point ≤ 31.5 cm is recommended as a single simple anthropometric measurement for the prediction of both LBW and neonatal mortality. The predicted measure could act as a substitute for weighting newborns in communities where scales to weigh them are not routinely available. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low%20birth%20weight" title="low birth weight">low birth weight</a>, <a href="https://publications.waset.org/abstracts/search?q=neonatal%20mortality" title=" neonatal mortality"> neonatal mortality</a>, <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20measures" title=" anthropometric measures"> anthropometric measures</a>, <a href="https://publications.waset.org/abstracts/search?q=practical%20screening" title=" practical screening"> practical screening</a> </p> <a href="https://publications.waset.org/abstracts/162775/development-of-a-practical-screening-measure-for-the-prediction-of-low-birth-weight-and-neonatal-mortality-in-upper-egypt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162775.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">99</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">11508</span> Physical and Physiological Characteristics of Young Soccer Players in Republic of Macedonia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanja%20Manchevska">Sanja Manchevska</a>, <a href="https://publications.waset.org/abstracts/search?q=Vaska%20Antevska"> Vaska Antevska</a>, <a href="https://publications.waset.org/abstracts/search?q=Lidija%20Todorovska"> Lidija Todorovska</a>, <a href="https://publications.waset.org/abstracts/search?q=Beti%20Dejanova"> Beti Dejanova</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunchica%20Petrovska"> Sunchica Petrovska</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivanka%20Karagjozova"> Ivanka Karagjozova</a>, <a href="https://publications.waset.org/abstracts/search?q=Elizabeta%20Sivevska"> Elizabeta Sivevska</a>, <a href="https://publications.waset.org/abstracts/search?q=Jasmina%20Pluncevic%20Gligoroska"> Jasmina Pluncevic Gligoroska</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: A number of positive effects on the player’s physical status, including the body mass components are attributed to training process. As young soccer players grow up qualitative and quantitative changes appear and contribute to better performance. Player’s anthropometric and physiologic characteristics are recognized as important determinants of performance. Material: A sample of 52 soccer players with an age span from 9 to 14 years were divided in two groups differentiated by age. The younger group consisted of 25 boys under 11 years (mean age 10.2) and second group consisted of 27 boys with mean age 12.64. Method: The set of basic anthropometric parameters was analyzed: height, weight, BMI (Body Mass Index) and body mass components. Maximal oxygen uptake was tested using the treadmill protocol by Brus. Results: The group aged under 11 years showed the following anthropometric and physiological features: average height= 143.39cm, average weight= 44.27 kg; BMI= 18.77; Err = 5.04; Hb= 13.78 g/l; VO2=37.72 mlO2/kg. Average values of analyzed parameters were as follows: height was 163.7 cm; weight= 56.3 kg; BMI = 19.6; VO2= 39.52 ml/kg; Err=5.01; Hb=14.3g/l for the participants aged 12 to14 years. Conclusion: Physiological parameters (maximal oxygen uptake, erythrocytes and Hb) were insignificantly higher in the older group compared to the younger group. There were no statistically significant differences between analyzed anthropometric parameters among the two groups except for the basic measurements (height and weight). <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=young%20soccer%20players" title=" young soccer players"> young soccer players</a>, <a href="https://publications.waset.org/abstracts/search?q=BMI" title=" BMI"> BMI</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20status" title=" physical status"> physical status</a> </p> <a href="https://publications.waset.org/abstracts/10737/physical-and-physiological-characteristics-of-young-soccer-players-in-republic-of-macedonia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10737.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11507</span> The Effect of Coconut Oil on Anthropometric Measurements and Irisin Levels in Overweight Individuals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bilge%20Meral%20Koc">Bilge Meral Koc</a>, <a href="https://publications.waset.org/abstracts/search?q=Elvan%20Yilmaz%20Akyuz"> Elvan Yilmaz Akyuz</a>, <a href="https://publications.waset.org/abstracts/search?q=Tugce%20Ozlu"> Tugce Ozlu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study aimed to discover the effects of coconut oil intake and diet therapy on anthropometric measurements, biochemical findings and irisin levels in overweight individuals. Materials and Methods: Overweight individuals (n=44, 19-30 years) without any chronic disease were included. In this randomized controlled crossover study, the participants were divided into two groups (Group 1: 23 people, Group 2: 21 people). In the first phase, Group 1 received diet therapy to lose 0.5-1 kg of weight per week and 20 mL of coconut oil/day, while Group 2 only received diet therapy. In the second phase, Group 1 received diet therapy while Group 2 received diet therapy and 20 mL of coconut oil/day. Anthropometric measurements were taken four times. Irisin was measured four times by enzyme-linked immunosorbent (ELISA) method and other biochemical findings were measured twice. Statistical analysis was made on SPSS 20. Results: The irisin level decreased significantly when the participants only took coconut oil (p≤0.05). There was a significant decrease in the participants' body weight, body mass index (BMI) level and body fat percentage (p≤0.01). Insulin, total cholesterol, low density lipoproteins (LDL) cholesterol, and triglyceride (TG) levels of all participants decreased significantly (p≤0.05). There was no significant difference in irisin level due to body weight loss (p≤0.05); coconut oil provided a significant decrease in irisin level (p≤0.05). Conclusion: Diet therapy and weight loss did not have an effect on irisin level, but coconut oil alone was found to reduce irisin level. Coconut oil had no impact on anthropometric and biochemical findings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coconut%20oil" title="coconut oil">coconut oil</a>, <a href="https://publications.waset.org/abstracts/search?q=diet%20therapy" title=" diet therapy"> diet therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=irisin" title=" irisin"> irisin</a>, <a href="https://publications.waset.org/abstracts/search?q=overweight" title=" overweight"> overweight</a> </p> <a href="https://publications.waset.org/abstracts/150976/the-effect-of-coconut-oil-on-anthropometric-measurements-and-irisin-levels-in-overweight-individuals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150976.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">106</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">11506</span> Effects of High-Protein, Low-Energy Diet on Body Composition in Overweight and Obese Adults: A Clinical Trial</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Makan%20Cheraghpour">Makan Cheraghpour</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Ahmad%20Hosseini"> Seyed Ahmad Hosseini</a>, <a href="https://publications.waset.org/abstracts/search?q=Damoon%20Ashtary-Larky"> Damoon Ashtary-Larky</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Shirali"> Saeed Shirali</a>, <a href="https://publications.waset.org/abstracts/search?q=Matin%20Ghanavati"> Matin Ghanavati</a>, <a href="https://publications.waset.org/abstracts/search?q=Meysam%20Alipour"> Meysam Alipour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: In addition to reducing body weight, the low-calorie diets can reduce the lean body mass. It is hypothesized that in addition to reducing the body weight, the low-calorie diets can maintain the lean body mass. So, the current study aimed at evaluating the effects of high-protein diet with calorie restriction on body composition in overweight and obese individuals. Methods: 36 obese and overweight subjects were divided randomly into two groups. The first group received a normal-protein, low-energy diet (RDA), and the second group received a high-protein, low-energy diet (2×RDA). The anthropometric indices including height, weight, body mass index, body fat mass, fat free mass, and body fat percentage were evaluated before and after the study. Results: A significant reduction was observed in anthropometric indices in both groups (high-protein, low-energy diets and normal-protein, low-energy diets). In addition, more reduction in fat free mass was observed in the normal-protein, low-energy diet group compared to the high -protein, low-energy diet group. In other the anthropometric indices, significant differences were not observed between the two groups. Conclusion: Independently of the type of diet, low-calorie diet can improve the anthropometric indices, but during a weight loss, high-protein diet can help the fat free mass to be maintained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=diet" title="diet">diet</a>, <a href="https://publications.waset.org/abstracts/search?q=high-protein" title=" high-protein"> high-protein</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=body%20fat%20percentage" title=" body fat percentage"> body fat percentage</a> </p> <a href="https://publications.waset.org/abstracts/58466/effects-of-high-protein-low-energy-diet-on-body-composition-in-overweight-and-obese-adults-a-clinical-trial" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58466.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">308</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">11505</span> Laboratory Indices in Late Childhood Obesity: The Importance of DONMA Indices</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>, <a href="https://publications.waset.org/abstracts/search?q=Muhammet%20Demirkol"> Muhammet Demirkol</a>, <a href="https://publications.waset.org/abstracts/search?q=Murat%20Aydin"> Murat Aydin</a>, <a href="https://publications.waset.org/abstracts/search?q=Tuba%20Gokkus"> Tuba Gokkus</a>, <a href="https://publications.waset.org/abstracts/search?q=Burcin%20Nalbantoglu"> Burcin Nalbantoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Aysin%20Nalbantoglu"> Aysin Nalbantoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Birol%20Topcu"> Birol Topcu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obesity in childhood establishes a ground for adulthood obesity. Especially morbid obesity is an important problem for the children because of the associated diseases such as diabetes mellitus, cancer and cardiovascular diseases. In this study, body mass index (BMI), body fat ratios, anthropometric measurements and ratios were evaluated together with different laboratory indices upon evaluation of obesity in morbidly obese (MO) children. Children with nutritional problems participated in the study. Written informed consent was obtained from the parents. Study protocol was approved by the Ethics Committee. Sixty-two MO girls aged 129.5±35.8 months and 75 MO boys aged 120.1±26.6 months were included into the scope of the study. WHO-BMI percentiles for age-and-sex were used to assess the children with those higher than 99<sup>th</sup> as morbid obesity. Anthropometric measurements of the children were recorded after their physical examination. Bio-electrical impedance analysis was performed to measure fat distribution. Anthropometric ratios, body fat ratios, Index-I and Index-II as well as insulin sensitivity indices (ISIs) were calculated. Girls as well as boys were binary grouped according to homeostasis model assessment-insulin resistance (HOMA-IR) index of <2.5 and >2.5, fasting glucose to insulin ratio (FGIR) of <6 and >6 and quantitative insulin sensitivity check index (QUICKI) of <0.33 and >0.33 as the frequently used cut-off points. They were evaluated based upon their BMIs, arms, legs, trunk, whole body fat percentages, body fat ratios such as fat mass index (FMI), trunk-to-appendicular fat ratio (TAFR), whole body fat ratio (WBFR), anthropometric measures and ratios [waist-to-hip, head-to-neck, thigh-to-arm, thigh-to-ankle, height/2-to-waist, height/2-to-hip circumference (C)]. SPSS/PASW 18 program was used for statistical analyses. p≤0.05 was accepted as statistically significance level. All of the fat percentages showed differences between below and above the specified cut-off points in girls when evaluated with HOMA-IR and QUICKI. Differences were observed only in arms fat percent for HOMA-IR and legs fat percent for QUICKI in boys (p≤ 0.05). FGIR was unable to detect any differences for the fat percentages of boys. Head-to-neck C was the only anthropometric ratio recommended to be used for all ISIs (p≤0.001 for both girls and boys in HOMA-IR, p≤0.001 for girls and p≤0.05 for boys in FGIR and QUICKI). Indices which are recommended for use in both genders were Index-I, Index-II, HOMA/BMI and log HOMA (p≤0.001). FMI was also a valuable index when evaluated with HOMA-IR and QUICKI (p≤0.001). The important point was the detection of the severe significance for HOMA/BMI and log HOMA while they were evaluated also with the other indices, FGIR and QUICKI (p≤0.001). These parameters along with Index-I were unique at this level of significance for all children. In conclusion, well-accepted ratios or indices may not be valid for the evaluation of both genders. This study has emphasized the limiting properties for boys. This is particularly important for the selection process of some ratios and/or indices during the clinical studies. Gender difference should be taken into consideration for the evaluation of the ratios or indices, which will be recommended to be used particularly within the scope of obesity studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometry" title="anthropometry">anthropometry</a>, <a href="https://publications.waset.org/abstracts/search?q=childhood%20obesity" title=" childhood obesity"> childhood obesity</a>, <a href="https://publications.waset.org/abstracts/search?q=gender" title=" gender"> gender</a>, <a href="https://publications.waset.org/abstracts/search?q=insulin%20sensitivity%20index" title=" insulin sensitivity index"> insulin sensitivity index</a> </p> <a href="https://publications.waset.org/abstracts/42290/laboratory-indices-in-late-childhood-obesity-the-importance-of-donma-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42290.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">356</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">11504</span> Stress as Risk Factor for Onset of Type-2 Diabetes Mellitus in Visakhapatnam Tribal Community of Andhra Pradesh, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vijaya%20Nirmala%20Pangi">Vijaya Nirmala Pangi</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Subhramanyam"> K. V. Subhramanyam</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Vijay%20Lakshmi"> C. Vijay Lakshmi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: The prevalence of Type 2 Diabetes Mellitus is increasing drastically at a vigorous rate all over the world population. Aim: The present study aims to determine the prevalence of type-2 diabetes mellitus in Paderu tribal area population of Visakhapatnam district, located in northeastern region of Andhra Pradesh. Methods: A random sampling method was followed in 1025 subjects including controls (n=25) and determined 75-g oral glucose tolerance test to assess the presence of type 2 diabetes mellitus. The effect of anthropometric factors like age, gender, literacy, socio economic status, and environmental risk factors such as body fat response, hypertension and psychophysical stress response were determined in the studied subjects. Results: 78 (7.8%) were diabetic. Type 2 Diabetes Mellitus was found to be comparable between the two genders. Prevalence of diabetes was observed to be high in illiterate, low economic status subjects. Body fat response was comparable between control and diabetic subjects. However hypertension, stress associated enzymes showed significant (p < 0.05) decrease in diabetic subjects compared to controls in both the genders. Conclusion: It appears that there is a rising pattern in the prevalence of diabetes mellitus in tribal area, Paderu, Andhra Pradesh, India compared to previous rural studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20studies" title="anthropometric studies">anthropometric studies</a>, <a href="https://publications.waset.org/abstracts/search?q=hypertension" title=" hypertension"> hypertension</a>, <a href="https://publications.waset.org/abstracts/search?q=oral%20glucose%20tolerance%20test" title=" oral glucose tolerance test"> oral glucose tolerance test</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20enzymes" title=" stress enzymes"> stress enzymes</a>, <a href="https://publications.waset.org/abstracts/search?q=type-2%20diabetes%20mellitus" title=" type-2 diabetes mellitus"> type-2 diabetes mellitus</a> </p> <a href="https://publications.waset.org/abstracts/62431/stress-as-risk-factor-for-onset-of-type-2-diabetes-mellitus-in-visakhapatnam-tribal-community-of-andhra-pradesh-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62431.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">470</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">11503</span> Developing Structured Sizing Systems for Manufacturing Ready-Made Garments of Indian Females Using Decision Tree-Based Data Mining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hina%20Kausher">Hina Kausher</a>, <a href="https://publications.waset.org/abstracts/search?q=Sangita%20Srivastava"> Sangita Srivastava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In India, there is a lack of standard, systematic sizing approach for producing readymade garments. Garments manufacturing companies use their own created size tables by modifying international sizing charts of ready-made garments. The purpose of this study is to tabulate the anthropometric data which covers the variety of figure proportions in both height and girth. 3,000 data has been collected by an anthropometric survey undertaken over females between the ages of 16 to 80 years from some states of India to produce the sizing system suitable for clothing manufacture and retailing. This data is used for the statistical analysis of body measurements, the formulation of sizing systems and body measurements tables. Factor analysis technique is used to filter the control body dimensions from a large number of variables. Decision tree-based data mining is used to cluster the data. The standard and structured sizing system can facilitate pattern grading and garment production. Moreover, it can exceed buying ratios and upgrade size allocations to retail segments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anthropometric%20data" title="anthropometric data">anthropometric data</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a>, <a href="https://publications.waset.org/abstracts/search?q=garments%20manufacturing" title=" garments manufacturing"> garments manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=sizing%20systems" title=" sizing systems"> sizing systems</a>, <a href="https://publications.waset.org/abstracts/search?q=ready-made%20garments" title=" ready-made garments"> ready-made garments</a> </p> <a href="https://publications.waset.org/abstracts/108349/developing-structured-sizing-systems-for-manufacturing-ready-made-garments-of-indian-females-using-decision-tree-based-data-mining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/108349.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">133</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=anthropometric%20studies&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=anthropometric%20studies&page=3">3</a></li> <li class="page-item"><a class="page-link" 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