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Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012

Overview of attention for article published in PLOS ONE, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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2 policy sources
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3 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

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80 Dimensions

Readers on

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422 Mendeley
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Title
Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012
Published in
PLOS ONE, June 2015
DOI 10.1371/journal.pone.0130218
Pubmed ID
Authors

Benn Sartorius, Lennert J. Veerman, Mercy Manyema, Lumbwe Chola, Karen Hofman

Abstract

Obesity is a major risk factor for emerging non-communicable diseases (NCDS) in middle income countries including South Africa (SA). Understanding the multiple and complex determinants of obesity and their true population attributable impact is critical for informing and developing effective prevention efforts using scientific based evidence. This study identified contextualised high impact factors associated with obesity in South Africa. Analysis of three national cross sectional (repeated panel) surveys, using a multilevel logistic regression and population attributable fraction estimation allowed for identification of contextualised high impact factors associated with obesity (BMI>30 kg/m2) among adults (15years+). Obesity prevalence increased significantly from 23.5% in 2008 to 27.2% in 2012, with a significantly (p-value<0.001) higher prevalence among females (37.9% in 2012) compared to males (13.3% in 2012). Living in formal urban areas, white ethnicity, being married, not exercising and/or in higher socio-economic category were significantly associated with male obesity. Females living in formal or informal urban areas, higher crime areas, African/White ethnicity, married, not exercising, in a higher socio-economic category and/or living in households with proportionate higher spending on food (and unhealthy food options) were significantly more likely to be obese. The identified determinants appeared to account for 75% and 43% of male and female obesity respectively. White males had the highest relative gain in obesity from 2008 to 2012. The rising prevalence of obesity in South Africa is significant and over the past 5 years the rising prevalence of Type-2 diabetes has mirrored this pattern, especially among females. Targeting young adolescent girls should be a priority. Addressing determinants of obesity will involve a multifaceted strategy and requires at individual and population levels. With rising costs in the private and public sector to combat obesity related NCDS, this analysis can inform culturally sensitive mass communications and wellness campaigns. Knowledge of social determinants is critical to develop "best buys".

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 422 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uganda 1 <1%
Unknown 421 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 83 20%
Student > Bachelor 50 12%
Student > Postgraduate 40 9%
Student > Ph. D. Student 37 9%
Researcher 35 8%
Other 69 16%
Unknown 108 26%
Readers by discipline Count As %
Medicine and Dentistry 97 23%
Nursing and Health Professions 67 16%
Social Sciences 24 6%
Agricultural and Biological Sciences 18 4%
Biochemistry, Genetics and Molecular Biology 16 4%
Other 79 19%
Unknown 121 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 February 2019.
All research outputs
#4,352,135
of 24,746,716 outputs
Outputs from PLOS ONE
#51,872
of 214,207 outputs
Outputs of similar age
#50,456
of 271,690 outputs
Outputs of similar age from PLOS ONE
#1,486
of 6,856 outputs
Altmetric has tracked 24,746,716 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 214,207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 65% 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 271,690 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 81% of its contemporaries.
We're also able to compare this research output to 6,856 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.