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A cross sectional survey on social, cultural and economic determinants of obesity in a low middle income setting

Overview of attention for article published in International Journal for Equity in Health, January 2015
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Title
A cross sectional survey on social, cultural and economic determinants of obesity in a low middle income setting
Published in
International Journal for Equity in Health, January 2015
DOI 10.1186/s12939-015-0140-8
Pubmed ID
Authors

Ambepitiyawaduge Pubudu De Silva, Sudirikku Hennadige Padmal De Silva, Rashan Haniffa, Isurujith Kongala Liyanage, Kosala Saroj Amarasiri Jayasinghe, Prasad Katulanda, Chandrika Neelakanthi Wijeratne, Sumedha Wijeratne, Lalini Chandika Rajapakse

Abstract

IntroductionObesity is an increasing problem in South Asian countries and Sri Lanka is no exception. The socioeconomic determinants of obesity in Sri Lanka, and in neighbouring countries are inadequately described. Aim was to describe social, cultural and economic determinants of obesity in a representative sample from Kalutara District in Sri Lanka.MethodsThis was a cross sectional descriptive study conducted among adults aged 35¿64 years. A representative sample was selected using stratified random cluster sampling method from urban, rural and plantation sectors of Kalutara District. Data were collected using a pre-tested questionnaire. A body mass index of 23.01 kg/m2-27.50 kg/m2 was considered as overweight and ¿27.51 kg/m2 as obese. Waist circumference (WC) of¿¿¿90 cm and ¿80 cm was regarded as high for men and women respectively. Significance of prevalence of obesity categories across different socio-economic strata was determined by chi square test for trend.ResultsOf 1234 adults who were screened, age and sex adjusted prevalence of overweight, obesity and abdominal obesity (high WC) were 33.2% (male 27.3%/female 38.7%), 14.3% (male 9.2%/female 19.2%) and 33.6% (male 17.7%/female 49.0%) respectively. The Muslims had the highest prevalence of all three obesity categories. Sector, education, social status quintiles and area level deprivation categories show a non linear social gradient while income shows a linear social gradient in all obesity categories, mean BMI and mean WC. The differences observed for mean BMI and mean WC between the lowest and highest socioeconomic groups were statistically significant.ConclusionThere is a social gradient in all three obesity categories with higher prevalence observed in the more educated, urban, high income and high social status segments of society. The higher socioeconomic groups are still at a higher risk of all types of obesity despite other public health indicators such as maternal and infant mortality displaying an established social gradient.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Canada 1 <1%
Unknown 108 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Student > Bachelor 15 14%
Student > Ph. D. Student 14 13%
Researcher 11 10%
Lecturer 10 9%
Other 17 15%
Unknown 24 22%
Readers by discipline Count As %
Medicine and Dentistry 36 33%
Nursing and Health Professions 13 12%
Social Sciences 8 7%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 4 4%
Other 13 12%
Unknown 32 29%
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 18 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from International Journal for Equity in Health
#1,719
of 1,893 outputs
Outputs of similar age
#255,856
of 352,126 outputs
Outputs of similar age from International Journal for Equity in Health
#27
of 28 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 2nd percentile – i.e., 2% 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 352,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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.