Evidence map›Paper›PMID 34762663›Full record

ArticlePLoS medicine2021

Small area variations and factors associated with blood pressure and body-mass index in adult women in Accra, Ghana: Bayesian spatial analysis of a representative population survey and census data.

Sierra N Clark, James E Bennett, Raphael E Arku, Allan G Hill, Günther Fink, Richard M Adanu, Richard B Biritwum, Rudolph Darko, Ayaga Bawah, Rosemary B Duda and 1 more

Abstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Measurement of urban vitality with time-lapsed street-view images and object-detection for scalable assessment of pedestrian-sidewalk dynamics.ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS) · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Sierra N ClarkDepartment of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.ORCID 0000-0002-8592-3466
James E BennettDepartment of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.
Raphael E ArkuDepartment of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, Massachusetts, United States of America.ORCID 0000-0001-8914-8463
Allan G HillDepartment of Social Statistics and Demography, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-4418-0379
Günther FinkDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute and University of Basel, Basel, Switzerland.ORCID 0000-0001-7525-3668
Richard M AdanuDepartment of Population, Family, and Reproductive Health, University of Ghana, Accra, Ghana.
Richard B BiritwumDepartment of Community Health, University of Ghana, Accra, Ghana.
Rudolph DarkoSchool of Medicine, University of Ghana, Accra, Ghana.
Ayaga BawahRegional Institute for Population Studies, University of Ghana, Accra, Ghana.
Rosemary B DudaHarvard Medical School, Harvard University, Boston, Massachusetts, United States of America.
Majid EzzatiDepartment of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.ORCID 0000-0002-2109-8081

Funding

Health, Poverty and Place: Modeling Inequalities in Accra Using RS and GISR01HD054906 · NICHD · SAN DIEGO STATE UNIVERSITY · PI WEEKS, JOHN R · 2007 to 2011
$3.3M
CIHR DFS - 157830Medical Research Council MR/S019669/1NICHD NIH HHS R01 HD054906Wellcome Trust 209376/Z/17/Z
6 · The paper itself

Abstract

backgroundBody-mass index (BMI) and blood pressure (BP) levels are rising in sub-Saharan African cities, particularly among women. However, there is very limited information on how much they vary within cities, which could inform targeted and equitable health policies. Our study aimed to analyse spatial variations in BMI and BP for adult women at the small area level in the city of Accra, Ghana. METHODS AND

findingsWe combined a representative survey of adult women's health in Accra, Ghana (2008 to 2009) with a 10% random sample of the national census (2010). We applied a hierarchical model with a spatial term to estimate the associations of BMI and systolic blood pressure (SBP) and diastolic blood pressure (DBP) with demographic, socioeconomic, behavioural, and environmental factors. We then used the model to estimate BMI and BP for all women in the census in Accra and calculated mean BMI, SBP, and DBP for each enumeration area (EA). BMI and/or BP were positively associated with age, ethnicity (Ga), being currently married, and religion (Muslim) as their 95% credible intervals (95% CrIs) did not include zero, while BP was also negatively associated with literacy and physical activity. BMI and BP had opposite associations with socioeconomic status (SES) and alcohol consumption. In 2010, 26% of women aged 18 and older had obesity (BMI ≥ 30 kg/m2), and 21% had uncontrolled hypertension (SBP ≥ 140 and/or DBP ≥ 90 mm Hg). The differences in mean BMI and BP between EAs at the 10th and 90th percentiles were 2.7 kg/m2 (BMI) and in BP 7.9 mm Hg (SBP) and 4.8 mm Hg (DBP). BMI was generally higher in the more affluent eastern parts of Accra, and BP was higher in the western part of the city. A limitation of our study was that the 2010 census dataset used for predicting small area variations is potentially outdated; the results should be updated when the next census data are available, to the contemporary population, and changes over time should be evaluated.

conclusionsWe observed that variation of BMI and BP across neighbourhoods within Accra was almost as large as variation across countries among women globally. Localised measures are needed to address this unequal public health challenge in Accra.

Indexed as

Body Mass IndexCensusesHealth SurveysSmall-Area AnalysisSpatial AnalysisAdultBayes TheoremBehaviorBlood PressureDiastoleFemaleGeographyGhanaHumansSocioeconomic FactorsSystole

Identifiers

PMID34762663
PMCPMC8584976

What OpenQuestion holds

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LicenceCC BY
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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.