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Overweight and obesity among women: analysis of demographic and health survey data from 32 Sub-Saharan African Countries

Overview of attention for article published in BMC Public Health, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
273 Mendeley
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Title
Overweight and obesity among women: analysis of demographic and health survey data from 32 Sub-Saharan African Countries
Published in
BMC Public Health, January 2016
DOI 10.1186/s12889-016-2698-5
Pubmed ID
Authors

Subas Neupane, Prakash K.C., David Teye Doku

Abstract

Overweight and obesity are risk factors for many chronic diseases globally. However, the extent of the problem in low-income countries like Sub-Saharan Africa is unclear. We assessed the magnitude and disparity of both phenomena by place of residence, level of education and wealth quintile using cross-sectional data from 32 countries. Demographic and Health Survey (DHS) data collected in 32 Sub-Saharan African countries between January 2005 and December 2013 were used. A total of 250651 women (aged 15-49 years) were analyzed. Trained personnel using a standardized procedure measured body weight and height. Body mass index (BMI) was calculated by dividing body weight by height squared. Prevalence of overweight (25.0-29.9 kg/m(2)) and obesity (≥30.0 kg/m2) were estimated for each country. Analysis of the relationships of overweight and obesity with place of residence, education and wealth index were carried out using logistic regression. The pooled prevalence of overweight for the region was 15.9 % (95 % CI, 15.7-16.0) with the lowest in Madagascar 5.6 % (95 % CI, 5.1-6.1) and the highest in Swaziland 27.7 % (95 % CI, 26.4-29.0). Similarly, the prevalence of obesity was also lowest in Madagascar 1.1 % (95 % CI, 0.9-1.4) and highest in Swaziland 23.0 (95 % CI, 21.8-24.2). The women in urban residence and those who were classified as rich, with respect to the quintile of the wealth index, had higher likelihood of overweight and obesity. In the pooled results, high education was significantly associated with overweight and obesity. The prevalence of overweight and obesity varied highly between the countries and wealth index (rich vs. poor) was found to be the strongest predictor in most of the countries. Interventions that will address the socio-cultural barriers to maintaining healthy body size can contribute to curbing the overweight and obesity epidemic in Africa.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Zimbabwe 1 <1%
South Africa 1 <1%
Unknown 270 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 21%
Student > Bachelor 29 11%
Lecturer 28 10%
Researcher 28 10%
Student > Ph. D. Student 18 7%
Other 45 16%
Unknown 67 25%
Readers by discipline Count As %
Nursing and Health Professions 62 23%
Medicine and Dentistry 57 21%
Social Sciences 27 10%
Agricultural and Biological Sciences 13 5%
Economics, Econometrics and Finance 6 2%
Other 32 12%
Unknown 76 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 November 2016.
All research outputs
#738,066
of 8,614,521 outputs
Outputs from BMC Public Health
#949
of 7,126 outputs
Outputs of similar age
#32,319
of 265,645 outputs
Outputs of similar age from BMC Public Health
#58
of 297 outputs
Altmetric has tracked 8,614,521 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,126 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.