Evidence map›Paper›PMID 35513441›Full record

ArticleJournal of human hypertension2023

Stressful life events, neighbourhood characteristics, and systolic blood pressure in South Africa.

Trust Gangaidzo, Marisa von Fintel, Aletta Elisabeth Schutte, Ronelle Burger

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Article in Journal of human hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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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

4 authors.

Trust GangaidzoDepartment of Economics, Stellenbosch University, Stellenbosch, South Africa. gangaidzotrust@gmail.com.ORCID 0000-0003-4297-6514
Marisa von FintelDepartment of Economics, Stellenbosch University, Stellenbosch, South Africa.ORCID 0000-0002-2390-8586
Aletta Elisabeth SchutteSchool of Population Health, University of New South Wales; The George Institute for Global Health, Sydney, NSW, Australia.
Ronelle BurgerDepartment of Economics, Stellenbosch University, Stellenbosch, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between negative events, neighbourhood characteristics, and systolic blood pressure in developing countries is not well-documented, particularly using longitudinal data. To explore this relationship, we analysed panel data from the first three waves of the South African National Income Dynamics Study using a correlated random effects model adjusted for confounding risk factors. Our sample comprised of 15,631 respondents in 2008, 14,443 respondents in 2010/2011, and 14,418 respondents in 2012, all aged above 15 years. The prevalence of at least one negative household event across the three waves was approximately 30%. In any of the three waves, the adjusted prevalence of hypertension was 23.84%. This share was 21.75% in 2008 (95% CI 18.06-25.44), 23.16% in 2010/11 (95% CI 19.18-27.14), and 18.39% in 2012 (95% CI 16.03-20.75). In our adjusted correlated random effects model, we found that systolic blood pressure was significantly higher among respondents from households that reported death of a household member (0.85 mmHg; p =  0.02) and a reduction in grant income and remittances (2.14 mm Hg; p = 0.01). We also found no significant association between systolic blood pressure and neighbourhood income level. In a country with social and economic challenges, our results indicate that grief and negative financial events are adversely associated with blood pressure, which may explain in part the significant burden of hypertension in low- and middle-income countries.

Indexed as

HypertensionAgedBlood PressureHumansNeighborhood CharacteristicsSocioeconomic FactorsSouth Africa

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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.