Evidence map›Paper›PMID 40342722›Full record

ArticleTobacco induced diseases2025

The association between secondhand smoke exposure and accelerated biological aging: A population-based study and Mendelian randomization analysis.

Yue Zhu, Yufan Gao, Yangguang Lu, Yukai Wang, Ziyu Pan, Huixiang Sheng, Jiajun Li, Yinuo Chen, Jialing Lou, Feng Chen and 1 more

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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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

3 citing papers in PubMed.

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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

11 authors.

Yue Zhu *The School of Public Health and Management, Wenzhou Medical University, Wenzhou, China.
Yufan Gao *The Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Yangguang Lu *The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Yukai WangThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Ziyu PanThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Huixiang ShengThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Jiajun LiThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Yinuo ChenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Jialing LouThe First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China.
Feng ChenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, China.
Fajing YangDepartment of Vascular Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAging is an irreversible biological process significantly influenced by oxidative stress, which smoking exacerbates. While the impact of direct smoking on aging is well-documented, the association between secondhand smoke (SHS) exposure and biological aging remains less explored. This study examines the connection between SHS exposure in populations and biological aging, highlighting diabetes as a potential mediator due to its established links to both SHS exposure and accelerated aging through mechanisms such as oxidative stress and chronic inflammation. It further employs genetic tools to establish a causal relationship between SHS exposure and biological aging.

methodsThis study combines secondary dataset analyses and Mendelian randomization analyses. Data from the NHANES 1999-2010 cycles were used, with serum cotinine levels indicating SHS exposure and phenotypic age, derived from age and clinical biomarkers reflecting inflammation, metabolism, and hematologic function, as the measure of biological aging. Multifactorial linear regression assessed associations, with restricted cubic splines used to explore nonlinear trends. Subgroup and mediation analyses were conducted to explore population-specific effects and the mediating role of diabetes. Two-sample Mendelian randomization (MR) using GWAS summary statistics on workplace SHS exposure (N=90168) and phenotypic age acceleration (N=6148) assessed causality.

resultsIn the NHANES analysis, low SHS exposure was associated with a 0.37-year increase in biological aging (β=0.37; 95% CI: 0.04-0.70), while high exposure showed a 0.76-year increase (β=0.76; 95% CI: 0.23-1.29). A U-shaped association was found between log-transformed serum cotinine and biological aging (p<0.001), with a threshold at -1.53. Diabetes mediated 31.25% of this association. In the MR analysis, workplace SHS exposure was causally linked to a 3.05-year acceleration in aging (β=3.05; 95% CI: 0.24-5.85).

conclusionsSHS exposure accelerates biological aging, partly via diabetes. Genetic evidence supports a causal effect, emphasizing the need to minimize SHS exposure.

Indexed as

biological agingdiabetesMendelian randomizationoxidative stresssecondhand smoke exposure

Identifiers

PMID40342722
PMCPMC12060151

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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.