Evidence map›Paper›PMID 26602893›Full record

ArticleBMC public health2015

Population-based survey of overweight and obesity and the associated factors in peri-urban and rural Eastern Uganda.

Barbara Eva Kirunda, Lars Thore Fadnes, Henry Wamani, Jan Van den Broeck, Thorkild Tylleskär

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence.International journal of environmental research and public health · 2022
    Pooled it
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  11. Metabolic syndrome in childhood cancer survivors: delta BMI a risk factor in lower-middle-income countries.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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  17. Food intake and cardiometabolic risk factors in rural Uganda.Archives of public health = Archives belges de sante publique · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Barbara Eva KirundaDepartment of Epidemiology and Biostatistics, Makerere University College of Health Sciences, School of Public Health, P.O. Box 7072, Kampala, Uganda. bkirunda@musph.ac.ug.
Lars Thore FadnesCentre for International Health, University of Bergen, P.O. Box 7800, 5020, Bergen, Norway. lars.fadnes@cih.uib.no.
Henry WamaniDepartment of Community Health and Behavioural Sciences, Makerere University College of Health Sciences, School of Public Health, P.O. Box 7072, Kampala, Uganda. hwamani@musph.ac.ug.
Jan Van den BroeckCentre for International Health, University of Bergen, P.O. Box 7800, 5020, Bergen, Norway.
Thorkild TylleskärCentre for International Health, University of Bergen, P.O. Box 7800, 5020, Bergen, Norway. thorkild.tylleskar@cih.uib.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn sub-Saharan Africa (SSA), the rising prevalence of overweight, obesity and non-communicable diseases co-exists with the high burden of under-nutrition. The paucity of data on adulthood overweight and obesity, disaggregated by socio-demographic characteristics and in rural settings in SSA calls for research. We determined the prevalence of underweight, overweight/obesity and associated factors among adults in peri-urban and rural Uganda.

methodsA cross-sectional study of 1210 randomly selected adults aged ≥ 18 years was conducted in Iganga-Mayuge Health and Demographic Surveillance Site in eastern Uganda in 2013. Height, weight and socio-demographic variables were assessed. Overweight was defined as BMI = 25.0-29.99 kg/m(2), obesity ≥ 30 kg/m(2) and overweight/obesity ≥ 25 kg/m(2). Logistic regression was used to identify factors associated with overweight/obesity.

resultsOf the participants, 7 % were underweight (8.1 % of men; 5.9 % of women, p = 0.99); 17.8 % were overweight (12.4 % of men; 23.1 % of women, p < 0.001); and 7 % were obese (2.0 % of men; 12.7 % of women, p < 0.001). Overweight prevalence was 15.8 % and 23.8 % among rural and peri-urban adults, respectively (p < 0.001). Obesity prevalence was 3.9 % and 17.8 % among rural and peri-urban adults, respectively (p < 0.001). Factors associated with overweight/obesity were: being female, adjusted odds ratio (AOR) 4.3 (95 % confidence interval (PloS one 8:e75640, 20013) 3.2-5.9); peri-urban residence AOR 2.6 (1.9-3.6); being in age group 35-44, AOR 3.1 (1.8-5.3); 45-54 AOR 4.1 (2.3-7.3); 55-64 AOR 2.6 (1.4-5.0); ≥ 65 years AOR 3.1 (1.6-6.0); and having socio-economic status (SES) in the third AOR 2.8 (1.7-4.6), fourth 2.5 (1.5-4.2) and fifth 2.7 (1.6-4.4) quintile.

conclusionsOverweight/obesity was prevalent among adults. Overweight/obese was associated with being female, being aged 35 years and older, residing in a peri-urban area and having a higher SES. The time has come to develop interventions to prevent and control overweight/obesity.

Indexed as

Body Mass IndexRural PopulationAdultAgedAge FactorsBody WeightCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedObesityOverweightPrevalenceSex Factors

Identifiers

PMID26602893
PMCPMC4659217

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.