Evidence map›Paper›PMID 29992851›Full record

ArticleGlobal health action2018

Socio-demographic and behavioural determinants of body mass index among an adult population in rural Northern Ghana: the AWI-Gen study.

Engelbert Adamwaba Nonterah, Cornelius Debpuur, Godfred Agongo, Lucas Amenga-Etego, Nigel J Crowther, Michèle Ramsay, Abraham Rexford Oduro, as members of AWI-Gen and the H3Africa Consortium

Abstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Non-cigarette Tobacco Use and Stroke Among West Africans: Evidence From the SIREN Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

8 authors.

Engelbert Adamwaba Nonteraha Navrongo Health Research Centre (NHRC) , Navrongo , Ghana.ORCID 0000-0001-8491-6478
Cornelius Debpuura Navrongo Health Research Centre (NHRC) , Navrongo , Ghana.ORCID 0000-0003-0968-5280
Godfred Agongoa Navrongo Health Research Centre (NHRC) , Navrongo , Ghana.ORCID 0000-0002-4218-5424
Lucas Amenga-Etegoa Navrongo Health Research Centre (NHRC) , Navrongo , Ghana.
Nigel J Crowtherd Department of Chemical Pathology, National Health Laboratory Service , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-5766-1745
Michèle Ramsayc Sydney Brenner Institute for Molecular Bioscience and Division of Human Genetics, School of Pathology , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0002-4156-4801
Abraham Rexford Oduroa Navrongo Health Research Centre (NHRC) , Navrongo , Ghana.
as members of AWI-Gen and the H3Africa Consortium

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

backgroundObesity and associated cardiometabolic diseases are increasing in urban sub-Saharan Africa due to a complex epidemiological and nutritional transition. Related data on rural communities is scarce.

objectivesThe study characterized the socio-demographic and behavioural factors influencing body mass index (BMI) among adults in rural Northern Ghana Methods: A population-based cross-sectional study involving adults aged 40-60 years residing in the Kassena-Nankana districts was undertaken. Demographic, socio-economic and behavioural data were collected along with measures of anthropometry. We determined factors associated with BMI among women and men.

resultsA total of 2014 adults were studied. The median age was 51 (IQR 45-57) years and 54% were women. The prevalence of overweight/obesity was higher among women than men (18.4% vs. 7.2%; p < 0.001), whilst underweight was more prevalent in men (18.3% vs. 13.1%; p = 0.001). Participants with the highest level of education and a high household socio-economic status had higher BMIs than those in the lowest strata in both men (β = 0.074, p = 0.028 and β = 0.072, p < 0.001, respectively) and women (β = 0.174, p = 0.001 and β = 0.109, p < 0.001, respectively). Men (β = -0.050; p < 0.001) and women (β = -0.073; p < 0.001) of the Nankana ethnic group had a lower BMI than the Kassena ethnic group. Among men, alcohol consumption (β = -0.021; p = 0.001) and smoking (β = -0.216; p < 0.001) were associated with lower BMI. Smokeless tobacco was associated with lower BMI among women. Pesticide exposure was associated with higher BMI (β = 0.022; p = 0.022) among men.

conclusionAge, sex, ethno-linguistic group and prevailing socio-demographic and behavioural factors within this rural community in Northern Ghana influence BMI. The observed positive association between pesticide use and BMI warrants further investigation.

Indexed as

Body Mass IndexHealth BehaviorAdultAlcohol DrinkingAnthropometryCross-Sectional StudiesFemaleGhanaHumansMaleMiddle AgedObesityOverweightPrevalenceRural PopulationSmokingBMICardiometabolic diseasespesticidesrural Northern Ghanasocio-demographic and behavioural risk

Identifiers

PMID29992851
PMCPMC6041816

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.