Evidence map›Paper›PMID 40327430›Full record

ArticleFuture science OA2025

Family size and cardiovascular disease incidence: a population-level association study.

Wenpeng You, Jacob Sevastidis, Maciej Henneberg

Abstract read
In one paragraph

Article in Future science OA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Wenpeng YouSchool of Biomedicine, the University of Adelaide, Adelaide, Australia.ORCID 0000-0002-6229-1064
Jacob SevastidisSchool of Biomedicine, the University of Adelaide, Adelaide, Australia.
Maciej HennebergSchool of Biomedicine, the University of Adelaide, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the population-level association between family size and cardiovascular disease (CVD) incidence, focusing on broad patterns rather than causal mechanisms or individual-level effects.

methodsPopulation level correlations of family size to CVD incidence were analyzed with scatter plots, simple regression, partial correlation and multivariate regression separately. Aging, economic affluence, obesity and urbanization were incorporated in models as potential confounders.

resultsGlobally, family size negatively correlated to CVD incidence rate. This relationship remained in partial correlation analyses when controlling for confounders. Stepwise multiple regression revealed that family size may be the most significant predictor of CVD incidence.

conclusionsLarge family size is significantly associated with lower cardiovascular disease (CVD) incidence, potentially due to biological, psychological, and social factors. However, as the data are cross-sectional, this relationship should be interpreted as correlational rather than causal. The association appears more pronounced in developing countries, where contextual factors may amplify its effects.

Indexed as

biopsychosocial protectioncardiovascular disease incidencefamily lifeFamily sizeoxytocinpsychological well-beingtotal fertility rate

Identifiers

PMID40327430
PMCPMC12068329

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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.