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Female sex, poverty and globalization as determinants of obesity among rural South African type 2 diabetics: a cross-sectional study

Overview of attention for article published in BMC Public Health, March 2015
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31 Dimensions

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170 Mendeley
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Title
Female sex, poverty and globalization as determinants of obesity among rural South African type 2 diabetics: a cross-sectional study
Published in
BMC Public Health, March 2015
DOI 10.1186/s12889-015-1622-8
Pubmed ID
Authors

Oladele Vincent Adeniyi, Benjamin Longo-Mbenza, Daniel Ter Goon

Abstract

Countries in Sub-Saharan Africa have recently been experiencing increases in the prevalence of obesity, type 2 diabetes mellitus (T2DM) and other non-communicable diseases in both urban and rural areas. Despite their growing influence on population health in the region, there is a paucity of epidemiological studies on the twin epidemic of obesity and T2DM, particularly in the rural communities in South Africa. We investigated the prevalence and the determinants of overall obesity among patients with T2DM in rural and semi-urban areas surrounding the town of Mthatha, South Africa. This hospital-based cross-sectional study was conducted among patients with T2DM attending the outpatient department at Mthatha General Hospital, Eastern Cape Province, South Africa. Data were obtained from 327 participants using standardized questionnaires that included items on sex, age, level of education, type of residence, employment status, smoking status, physical activity, diet and alcohol intake. After taking measurements of height and weight, participants were defined as obese if their body mass index exceeded 30 kg/m(2). Univariate and multivariate logistic regression analyses were performed to identify the determinants of obesity in our sample population. We found that 60.2% of our sample population were defined as obese. In our univariate analyses, female sex (p < 0.001), age ≥50 years (p = 0.023), rural residence (p < 0.001), excessive alcohol intake (p = 0.002), current cigarette smoking (p < 0.001), level of education (p < 0.001), regular consumption of soft drinks (p < 0.001) and unemployment (p = 0.043) were found to be positively and significantly associated with obesity. In the multivariate logistic regression analysis, female sex (p < 0.001), unemployment (p = 0.012) and level of education (p < 0.001) were found to be independent determinants of obesity. We found that female sex, educational attainment, unemployment and current cigarette smoking were positively associated with obesity among the study participants. Lifestyle changes, poverty reduction and public education are urgently needed to address the growing obesity epidemic in rural areas of South Africa.

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X Demographics

The data shown below were collected from the profiles of 4 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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Rwanda 1 <1%
Bangladesh 1 <1%
Nigeria 1 <1%
South Africa 1 <1%
Unknown 166 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 15%
Student > Ph. D. Student 19 11%
Student > Bachelor 17 10%
Researcher 12 7%
Student > Postgraduate 11 6%
Other 24 14%
Unknown 61 36%
Readers by discipline Count As %
Medicine and Dentistry 42 25%
Nursing and Health Professions 21 12%
Social Sciences 12 7%
Economics, Econometrics and Finance 6 4%
Psychology 5 3%
Other 21 12%
Unknown 63 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 October 2015.
All research outputs
#13,435,801
of 22,805,349 outputs
Outputs from BMC Public Health
#9,542
of 14,857 outputs
Outputs of similar age
#127,742
of 263,512 outputs
Outputs of similar age from BMC Public Health
#178
of 292 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 263,512 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.