Evidence map›Paper›PMID 34872517›Full record

ArticleBMC public health2021

Influence of contextual socioeconomic position on hypertension risk in low- and middle-income countries: disentangling context from composition.

Mustapha S Abba, Chidozie U Nduka, Seun Anjorin, Shukri F Mohamed, Emmanuel Agogo, Olalekan A Uthman

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 18 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

6 authors at 4 institutions in 5 countries.

Mustapha S AbbaDivision of Health Sciences, Warwick Medical School, The University of Warwick, Coventry, CV4 7AL, UK. Mustapha.abba@warwick.ac.uk.
Chidozie U NdukaDivision of Health Sciences, Warwick Medical School, The University of Warwick, Coventry, CV4 7AL, UK.
Seun AnjorinDivision of Health Sciences, Warwick Medical School, The University of Warwick, Coventry, CV4 7AL, UK.
Shukri F MohamedAcademic Unit of Primary Care (AUPC) and the NIHR Global Health Research Unit on Improving Health in Slums, University of Warwick, Coventry, UK.
Emmanuel AgogoResolve to Save Lives, Country Office Nigeria, Abuja, Nigeria.
Olalekan A UthmanWarwick Centre for Global Health Research, The University of Warwick, Coventry, CV4 7AL, UK.
University of Warwick · GBAfrican Population and Health Research Center · KEKarolinska University Hospital · SENational Office for Technology Acquisition and Promotion · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension has emerged as the single most significant modifiable risk factor for cardiovascular disease and death worldwide. Resource-limited settings are currently experiencing the epidemiological transition from infectious diseases to chronic non-communicable diseases, primarily due to modifications in diet and lifestyle behaviour. The objective of this study was to examine the influence of individual-, community- and country-level factors associated with hypertension in low- and middle-income countries (LMICs).

methodsMultivariable multi-level logistic regression analysis was applied using 12 Demographic and Health Survey (DHS) datasets collected between 2011 and 2018 in LMICs. We included 888,925 respondents (Level 1) nested within 33,883 neighbourhoods (Level 2) from 12 LMICs (Level 3).

resultsThe prevalence of hypertension ranged from 10.3% in the Kyrgyz Republic to 52.2% in Haiti. After adjusting for the individual-, neighbourhood- and country-level factors, we found respondents living in the least deprived areas were 14% more likely to have hypertension than those from the most deprived areas (OR = 1.14, 95% CI 1.10 to 1.17). We observed a significant variation in the odds of hypertension across the countries and the neighbourhoods. Approximately 26.3 and 47.6% of the variance in the odds of hypertension could be attributed to country- and neighbourhood-level factors, respectively. We also observed that respondents moving to a different neighbourhood or country with a higher risk of hypertension had an increased chance of developing hypertension, the median increase in their odds of hypertension was 2.83-fold (95% CI 2.62 to 3.07) and 4.04- fold (95% CI 3.98 to 4.08), respectively.

conclusionsThis study revealed that individual compositional and contextual measures of socioeconomic status were independently associated with the risk of developing hypertension. Therefore, prevention strategies should be implemented at the individual level and the socioeconomic and contextual levels to reduce the burden of hypertension.

Indexed as

Developing CountriesHypertensionHumansPovertyPrevalenceRisk FactorsSocial ClassSocioeconomic FactorsBlood pressureDemographic health survey (DHS)HypertensionLow- and middle-income countries (LMICs)Multi-level analysisSocioeconomic status

Identifiers

PMID34872517
PMCPMC8647420
OpenAlexW4200000866

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.