Evidence map›Paper›PMID 33455932›Full record

ArticleBMJ open2021

Spatial analysis of the prevalence of obesity and overweight among women in Ghana.

Killian Asampana Asosega, Atinuke Olusola Adebanji, Iddrisu Wahab Abdul

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.1field-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

22 citing papers in PubMed, 48 citations in OpenAlex.

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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 2 institutions in 1 country.

Killian Asampana AsosegaMathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana killian.asosega@uenr.edu.gh.ORCID 0000-0002-3140-2649
Atinuke Olusola AdebanjiDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ashanti, Ghana.
Iddrisu Wahab AbdulMathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
University of Energy and Natural Resources · GHKwame Nkrumah University of Science and Technology · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIdentifying hot spots for the overweight aids in effective public health interventions due to the associated public health burden and morbidities. This study, therefore aimed to explore and determine the spatial disparities in the overweight/obesity prevalence among women in Ghana. The study also aims at modelling the average body mass index (BMI) values using the spatial regression and the performance compared with the standard regression model.

designThis is a cross-sectional study using data from the 2014 Ghana Demographic and Health Survey (GDHS).

settingThe study was set in Ghana. PARTICIPANTS AND

methodsData on 4393 non-pregnant women aged 15-49 years from the 2014 GDHS. Both global (Moran's I) and the local indicators for spatial dependence were examined through the mapped BMI values across the country by clusters. An estimated spatial lag model was used to explain the spatial differences in the average body sizes of women.

resultsThe overall prevalence of overweight/obesity among reproductive women in Ghana was 35.4%, and this was highly prevalent among educated women (p<0.001), those from wealthy households (p<0.001) and dwelling in an urban setting (p<0.001). Significant clustering (Moran's I=0.3145, p<0.01) of overweight/obesity was observed with hot spots (clustering) in Greater Accra, Central, Western and Ashanti regions. The spatial lag model was the best fit based on the Likelihood ratio test and the Akaike information criterion and Bayesian information criterion values. The mean age of women and household wealth were significant factors accounting for the increase in the average cluster body size (BMI) of women and the spatial differences.

conclusionThe prevalence of overweight/obesity was high and spatially clustered in the southern, middle and coastal regions. Geographic specific and effective public health interventions and strategies are needed to address the growing morbidity burden associated with the rise in the average body sizes of reproductive women.

Indexed as

ObesityOverweightAdolescentAdultBayes TheoremBody Mass IndexCross-Sectional StudiesFemaleGhanaHumansMiddle AgedPrevalenceSocioeconomic FactorsSpatial AnalysisYoung Adultepidemiologypublic healthstatistics & research methods

Identifiers

PMID33455932
PMCPMC7813332
OpenAlexW3123121870

What OpenQuestion holds

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LicenceCC BY-NC
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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.