Evidence map›Paper›PMID 42894658›Full record

ArticleSSM - population health2026

Exploring links between health and the genetic risk for smoking.

Yeongmi Jeong, Meghan M Skira, Robbee Wedow

Abstract read
In one paragraph

Article in SSM - population health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yeongmi JeongDepartment of Sociology, Purdue University, West Lafayette, IN, 47907, USA.
Meghan M SkiraJohn Munro Godfrey, Sr. Department of Economics, Terry College of Business, University of Georgia, Athens, GA, 30602, USA.
Robbee WedowDepartment of Sociology, Purdue University, West Lafayette, IN, 47907, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the Health and Retirement Study (HRS), we document that among those aged 50-65, higher genetic scores for smoking are associated with worse health after accounting for detailed measures of smoking behavior and history. These associations are present even among those who report never smoking, suggesting they are not fully explained by smoking behavior. We then investigate several hypotheses for why this association persists. Parental and childhood characteristics-including parental smoking, parental risky behaviors, parental mortality, parental education, and childhood socioeconomic status-account for a modest portion of the observed association. We also examine behavioral and psychological characteristics linked to health. Higher genetic scores for smoking are associated with shorter financial planning horizons and lower optimism and conscientiousness, and these characteristics account for part of the observed association. Overall, our findings indicate that genetic scores for smoking may capture health-relevant heterogeneity that is not fully accounted for by observed smoking behavior.

Indexed as

GeneticsPolygenic scoresRisky behaviorSmoking

Identifiers

PMID42894658
PMCPMC13677030

What OpenQuestion holds

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Registered trials

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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.