Evidence map›Paper›PMID 42824194›Full record

ArticleFrontiers in aging2026

Association of smoking cessation with late-life frailty risk: the Singapore Chinese health study.

Ainsley Ryan Yan Bin Lee, Huiqi Li, Kevin Yiqiang Chua, Woon-Puay Koh

Abstract read
In one paragraph

Article in Frontiers in aging, 2026. 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

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

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

4 authors.

Ainsley Ryan Yan Bin LeeDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Huiqi LiHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Kevin Yiqiang ChuaHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
NCI NIH HHS R01 CA144034
6 · The paper itself

Abstract

Objective: To examine whether smoking cessation, in terms of duration and age at quitting, was associated with late-life physical frailty. Design: Prospective population-based cohort study. Setting: Chinese living in Singapore. Participants: We analyzed data from 4,574 men (mean baseline age 52.7 years, range 45-65 years) enrolled in the Singapore Chinese Health Study. Measurements: Participants self-reported smoking behaviors at four time-points over a 20-year follow-up. Physical frailty was assessed in late life (mean age 73.6 years, range 65-88 years) using a modified Cardiovascular Health Study phenotype, incorporating weakness, slowness, exhaustion and weight loss. Multivariable logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for association with frailty. Results: Persistent smokers had higher odds of frailty compared to never smokers (OR: 1.34; 95% CI: 1.01-1.76). Those who had quit smoking within 10 years before frailty assessment also had increased odds (OR = 1.33; 95% CI: 0.86-2.01), albeit not statistically significant. The OR (95% CI) was attenuated to 1.08 (0.76-1.51) for those quitting 10-20 years and 0.97 (0.59-1.55) for those quitting >40 years. Those who quit smoking by age 60 years had similar odds relative to never smokers: OR was 1.05 (0.74-1.48) for quitting at ages 50-60 years and further reduced to 0.86 (0.57-1.25) for quitting at ages <40 years. Conclusion: While persistent smoking was associated with increased odds of late-life physical frailty, smoking cessation for at least 10 years, or before the age of 60 years, could mitigate this risk substantially.

Indexed as

frailtyhealthy ageingolder adultssmoking cessationtobacco use

Identifiers

PMID42824194
PMCPMC13627434

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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.