Evidence map›Paper›PMID 24885860›Full record

ArticleBMC public health2014

Analysing the socioeconomic determinants of hypertension in South Africa: a structural equation modelling approach.

Annibale Cois, Rodney Ehrlich

Abstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Hypertension and the Well-Being of African Migrants in South Africa.International journal of environmental research and public health · 2025
    Article
  5. Prevalence of hypertension in community members in a low-income community in Windhoek, Namibia.African journal of primary health care & family medicine · 2025
    Article
  6. Article
  7. Hypertension guideline implementation and blood pressure control in Matlosana, South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  8. Article
  9. Article
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  11. Article
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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

2 authors.

Annibale CoisSchool of Public Health and Family Medicine, University of Cape Town, Anzio Road, Observatory 7925, Cape Town, South Africa. Annibale.Cois@uct.ac.za.
Rodney Ehrlich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological research has long observed a varying prevalence of hypertension across socioeconomic strata. However, patterns of association and underlying causal mechanisms are poorly understood in sub-Saharan Africa. Using education and income as indicators, we investigated the extent to which socioeconomic status is linked to blood pressure in the first wave of the National Income Dynamics Study--a South African longitudinal study of more than 15,000 adults--and whether bio-behavioural risk factors mediate the association.

methodsIn a cross-sectional analysis, structural equation modelling was employed to estimate the effect of socioeconomic status on systolic and diastolic blood pressure and to assess the role of a set of bio-behavioural risk factors in explaining the observed relationships.

resultsAfter adjustment for age, race and antihypertensive treatment, higher education and income were independently associated with higher diastolic blood pressure in men. In women higher education predicted lower values of both diastolic and systolic blood pressure while higher income predicted lower systolic blood pressure. In both genders, body mass index was a strong mediator of an adverse indirect effect of socioeconomic status on blood pressure. Together with physical exercise, alcohol use, smoking and resting heart rate, body mass index therefore contributed substantially to mediation of the observed relationships in men. By contrast, in women unmeasured factors played a greater role.

conclusionIn countries undergoing epidemiological transition, effects of socioeconomic status on blood pressure may vary by gender. In women, factors other than those listed above may have substantial role in mediating the association and merit investigation.

Indexed as

Blood PressureEducational StatusIncomeSocial ClassAdolescentAdultAgedAlcohol DrinkingBody Mass IndexCross-Sectional StudiesFemaleHumansHypertensionLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID24885860
PMCPMC4021547

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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.