Evidence map›Paper›PMID 29679481›Full record

ArticlePreventing chronic disease2018

Prevalence and Predictors of Overweight and Obesity Among Kenyan Women.

Rahma S Mkuu, Katrina Epnere, Muhammad Abdul Baker Chowdhury

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.6field-weighted citation impact, top 3% of its field
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

44 citing papers in PubMed, 69 citations in OpenAlex.

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  20. What is a "high" prevalence of obesity? Two rapid reviews and a proposed set of thresholds for classifying prevalence levels.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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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

3 authors at 3 institutions in 1 country.

Rahma S MkuuDepartment of Health and Kinesiology, Texas A&M University, College Station, Texas.
Katrina EpnereStatistics Collaborative, Inc, Washington, DC.
Muhammad Abdul Baker ChowdhuryDepartment of Emergency Medicine, University of Florida College of Medicine, Gainesville, Florida.
Florida College · USStatistics Collaborative · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOverweight and obesity are associated with increased rates of chronic disease and death globally. In Kenya, the prevalence of overweight and obesity among women is high and may be growing. This study aimed to determine the national prevalence and predictors of overweight and obesity among women in Kenya.

methodsWe used cross-sectional data from the 2014 Kenya Demographic and Health Survey (KDHS). Data on body mass index for 13,048 women (aged 15-49 y) were analyzed by using multivariable logistic regression models. Overweight and obesity were classified by using World Health Organization categories (normal weight, 18.5 to <24.9; overweight, 25.0 to <29.9; and obese, ≥30.0).

resultsThe prevalence of overweight was 20.5%, and the prevalence of obesity, 9.1%. Women aged 35 to 44 (odds ratio [OR] = 3.14; 95% confidence interval [CI], 2.58-3.81), with more than a secondary education (OR = 1.43; 95% CI, 1.05-1.95), married or living with a partner (OR = 1.73; 95% CI, 1.42-2.08), not working (OR = 1.27; 95% CI, 1.10-1.48), in the richest category (OR = 6.50; 95% CI, 5.08-8.30), and who used hormonal contraception (OR = 1.24; 95% CI, 1.07-1.43) were significantly more likely to be overweight or obese.

conclusionA high proportion of women in Kenya are overweight or obese. Our study indicates that women from urban areas and women with high socioeconomic status make up the largest proportion of women who are overweight or obese. Targeted and tailored studies and interventions are needed to identify evidence-based obesity prevention strategies for high-risk women in Kenya.

Indexed as

AdolescentAdultFemaleHumansKenyaMiddle AgedObesityOverweightPrevalenceYoung Adult

Identifiers

PMID29679481
PMCPMC5912924
OpenAlexW2798072309

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.