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Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population

BACKGROUND: Obesity is a global epidemic, which is a risk factor for cardiovascular diseases and metabolic abnormalities. It is measured by body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), body fat (BF) distribution and abdominal fat mass, each having its own merits and limita...

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Autores principales: Amin, Faridah, Fatima, Syeda Sadia, Islam, Najmul, Gilani, Anwar H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510896/
https://www.ncbi.nlm.nih.gov/pubmed/26217531
http://dx.doi.org/10.1186/s40608-015-0044-6
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author Amin, Faridah
Fatima, Syeda Sadia
Islam, Najmul
Gilani, Anwar H
author_facet Amin, Faridah
Fatima, Syeda Sadia
Islam, Najmul
Gilani, Anwar H
author_sort Amin, Faridah
collection PubMed
description BACKGROUND: Obesity is a global epidemic, which is a risk factor for cardiovascular diseases and metabolic abnormalities. It is measured by body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), body fat (BF) distribution and abdominal fat mass, each having its own merits and limitations. Variability in body composition between ethnic groups in South-Asians is significant and may not be truly reflected by BMI alone, which may result in misclassification. This study therefore, aims to determine the frequency of obesity, body fat composition and distribution, in a high risk population of an urban slum of Karachi, Pakistan. This survey included 451 participants selected by systematic sampling who were administered pre-tested questionnaires on socio-demographics, diet and physical activity. Chi-square was used to determine the association between categorical variables and multiple linear regression was used for quantitative variables. A P value of less than 0.05 was considered significant. RESULTS: Classified by BMI, 29% study subjects were overweight and 21% obese (58.7% with central obesity). Body fat percent (BF%) classified 81% as overweight. Females were more obese (P 0.03) with higher prevalence of central obesity (P <0.001) and WHR (P 0.003) but with a lower muscle mass (P 0.001). Activity score and muscle mass showed inverse linear association with BF% whereas, WC, weight, BMI and WHR had a positive linear association with BF%. The relationship between BMI and BF% was quadratic with a weaker association at lower BMI. Adjusting for socio-demographic variables, BF%, weight, diastolic blood pressure (DBP), BMI and score on the diet questionnaire had a positive linear association with WC, while WC, WHR and BP had a positive linear association with BF%. BF%, muscle content and WC had a positive linear association with BMI. CONCLUSION: Considering lower cut-offs for South-Asians BMI and WC, this study showed a high prevalence of obesity among a sub-urban population of Karachi, which was even higher when BF% was measured. Considering the rising prevalence of non-communicable diseases, BF%, WC, WHR and BMI measurements are convenient and feasible means of identifying population at risk and hence addressing it through public awareness and early detection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40608-015-0044-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-45108962015-07-27 Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population Amin, Faridah Fatima, Syeda Sadia Islam, Najmul Gilani, Anwar H BMC Obes Research Article BACKGROUND: Obesity is a global epidemic, which is a risk factor for cardiovascular diseases and metabolic abnormalities. It is measured by body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), body fat (BF) distribution and abdominal fat mass, each having its own merits and limitations. Variability in body composition between ethnic groups in South-Asians is significant and may not be truly reflected by BMI alone, which may result in misclassification. This study therefore, aims to determine the frequency of obesity, body fat composition and distribution, in a high risk population of an urban slum of Karachi, Pakistan. This survey included 451 participants selected by systematic sampling who were administered pre-tested questionnaires on socio-demographics, diet and physical activity. Chi-square was used to determine the association between categorical variables and multiple linear regression was used for quantitative variables. A P value of less than 0.05 was considered significant. RESULTS: Classified by BMI, 29% study subjects were overweight and 21% obese (58.7% with central obesity). Body fat percent (BF%) classified 81% as overweight. Females were more obese (P 0.03) with higher prevalence of central obesity (P <0.001) and WHR (P 0.003) but with a lower muscle mass (P 0.001). Activity score and muscle mass showed inverse linear association with BF% whereas, WC, weight, BMI and WHR had a positive linear association with BF%. The relationship between BMI and BF% was quadratic with a weaker association at lower BMI. Adjusting for socio-demographic variables, BF%, weight, diastolic blood pressure (DBP), BMI and score on the diet questionnaire had a positive linear association with WC, while WC, WHR and BP had a positive linear association with BF%. BF%, muscle content and WC had a positive linear association with BMI. CONCLUSION: Considering lower cut-offs for South-Asians BMI and WC, this study showed a high prevalence of obesity among a sub-urban population of Karachi, which was even higher when BF% was measured. Considering the rising prevalence of non-communicable diseases, BF%, WC, WHR and BMI measurements are convenient and feasible means of identifying population at risk and hence addressing it through public awareness and early detection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40608-015-0044-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-18 /pmc/articles/PMC4510896/ /pubmed/26217531 http://dx.doi.org/10.1186/s40608-015-0044-6 Text en © Amin et al.; licensee BioMed Central . 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Amin, Faridah
Fatima, Syeda Sadia
Islam, Najmul
Gilani, Anwar H
Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title_full Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title_fullStr Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title_full_unstemmed Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title_short Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
title_sort prevalence of obesity and overweight, its clinical markers and associated factors in a high risk south-asian population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510896/
https://www.ncbi.nlm.nih.gov/pubmed/26217531
http://dx.doi.org/10.1186/s40608-015-0044-6
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