Evidence map›Paper›PMID 32311000›Full record

ArticlePloS one2020

Gender differences in the association between socioeconomic status and hypertension in France: A cross-sectional analysis of the CONSTANCES cohort.

Lola Neufcourt, Séverine Deguen, Sahar Bayat, Marie Zins, Olivier Grimaud

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In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  9. Modifiable risk factors of inequalities in hypertension: analysis of 100 million health checkups recipients.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
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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

5 authors.

Lola NeufcourtUniv Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)-EA, Rennes, France.ORCID 0000-0001-6429-0551
Séverine DeguenEHESP, IPLESP (Institut Pierre-Louis d'Epidémiologie et de Santé Publique) UMR S 1136, Rennes, France.
Sahar BayatUniv Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)-EA, Rennes, France.
Marie ZinsINSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, Villejuif, France.
Olivier GrimaudUniv Rennes, EHESP, REPERES (Recherche en pharmaco-épidémiologie et recours aux soins)-EA, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension prevalence increases when socioeconomic status decreases but gender differences in the relationship between socioeconomic status and hypertension have been less studied. This work aimed to explore the pattern of associations between three indicators of socioeconomic status at individual, household, and municipal levels with hypertension across genders in a large sample of French adults from the CONSTANCES cohort.

methodsUsing data at inclusion from 59 805 participants (52% women) aged 25-69 years and recruited between 2012 and 2015, multilevel log-Poisson regressions with robust variance estimates were used to assess the associations of Relative Index of Inequality in education, monthly income per consumption unit and residential deprivation with hypertension. Modifying effects of gender and age in those associations were tested.

resultsHypertension prevalence was higher in men than in women. Steep socioeconomic gradients of hypertension were observed for the three socioeconomic indicators in both genders and from the youngest to the oldest age class. Socioeconomic inequalities, especially educational inequalities, were larger among women than men: Relative Index of Inequality for highest versus lowest education among the 25-34 years were 0.43 [95%-confidence interval = 0.28-0.67] in women and 0.70 [95%-confidence interval = 0.53-0.92] in men. With increasing age, socioeconomic gradients of hypertension eased in men and even more in women so that gender differences decreased.

conclusionsIn this cross-sectional analysis of a large sample of adults, prevalence of hypertension was higher in men than in women. Moreover, socioeconomic status and especially education displayed a stronger association with hypertension prevalence in women compared to men. Reducing inequalities in hypertension may require gender-specific approaches.

Indexed as

Social ClassAdultAgedBlood PressureCross-Sectional StudiesEducational StatusFemaleHumansHypertensionMaleMiddle AgedPrevalenceSex Factors

Identifiers

PMID32311000
PMCPMC7170232

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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.