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

Overview of attention for article published in BMC Obesity, March 2015
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Title
Prevalence of obesity and overweight, its clinical markers and associated factors in a high risk South-Asian population
Published in
BMC Obesity, March 2015
DOI 10.1186/s40608-015-0044-6
Pubmed ID
Authors

Faridah Amin, Syeda Sadia Fatima, Najmul Islam, Anwar H Gilani

Abstract

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. 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. 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ethiopia 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 19%
Student > Master 16 14%
Student > Ph. D. Student 9 8%
Researcher 8 7%
Student > Postgraduate 8 7%
Other 15 13%
Unknown 35 31%
Readers by discipline Count As %
Medicine and Dentistry 25 22%
Nursing and Health Professions 18 16%
Agricultural and Biological Sciences 8 7%
Biochemistry, Genetics and Molecular Biology 5 4%
Social Sciences 5 4%
Other 10 9%
Unknown 41 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from BMC Obesity
#166
of 184 outputs
Outputs of similar age
#242,161
of 286,004 outputs
Outputs of similar age from BMC Obesity
#14
of 16 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.