Evidence map›Paper›PMID 37484514›Full record

ArticleJournal Of Economic Psychology2023

Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking.

Laura Bierut, Pietro Biroli, Titus J Galama, Kevin Thom

Abstract read
In one paragraph

Article in Journal Of Economic Psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Laura BierutWashington University School of Medicine, St. Louis, MO, USA.
Pietro BiroliDepartment of Economics, University of Bologna, Italy.
Titus J GalamaVrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Kevin ThomUniversity of Wisconsin, Milwaukee, USA.

Funding

Genotyping the Understanding America Study to generate novel opportunities for research on cognitive functioning and dementiaR01AG079554 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAUL, JESSICA, GALAMA, TITUS JOHANNES · 2023 to 2025
$7.6M
Identifying modifiable aspects of gene-by-environment interplay in later-life cognitive declineRF1AG055654 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAUL, JESSICA, GALAMA, TITUS JOHANNES · 2017 to 2018
$4.3M
Genetic Differences in the Causal Effect of Education Quantity and Quality on Cognitive Functioning and Dementia Diagnosis Later in LifeR01AG078522 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Silvia Helena Barcellos · 2022 to 2026
$3.9M
Identifying gene-by-environment interplay in health behaviorR56AG058726 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2020 to 2020
$842k
NIA NIH HHS R01 AG078522NIA NIH HHS R01 AG079554NIA NIH HHS R56 AG058726NIA NIH HHS RF1 AG055654
6 · The paper itself

Abstract

Smoking is one of the leading causes of preventable disease and death in the U.S., and it is strongly influenced both by genetic predisposition and childhood adversity. Using polygenic indices (PGIs) of predisposition to smoking, we evaluate whether childhood financial distress (CFD; a composite measure of financial adversity) moderates genetic risk in explaining peak-cigarette consumption in adulthood. Using the Health and Retirement Study (HRS), we find a substantial reduction in the relationship between genetic risk and peak smoking for those who did not suffer financial adversity in childhood. Among adult smokers who grew up in high-CFD households, a one standard deviation higher PGI is associated with 2.9 more cigarettes smoked per day at peak. By contrast, among smokers who grew up in low-CFD households, this gradient is reduced by 37 percent (or 1.1 fewer). These results are robust to controlling for a host of prime confounders. By contrast, we find no evidence of interactions between the PGI and typical measures of childhood SES such as parental education - a null result that we replicate in the Wisconsin Longitudinal Study (WLS) and the English Longitudinal Study of Aging (ELSA). This suggests the role of childhood financial distress in the relationship with peak smoking is distinct from that of low childhood SES, with high CFD potentially reflecting more acute distress than do measures of low childhood SES. Our evidence also suggests low childhood SES is a weaker proxy for acute distress, providing an alternative explanation for the childhood SES null result.

Indexed as

G×EHealth InequalityPolygenic IndexSmoking

Identifiers

PMID37484514
PMCPMC10358858

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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.