Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Early-life exposure to tobacco, genetic susceptibility, and accelerated biological aging in adulthood

Feipeng Cui, Linxi Tang, Dankang Li, Yudiyang Ma, Jianing Wang, Junqing Xie, Binbin Su, Yaohua Tian, Xiaoying Zheng

Science Advances · 2024

Read source ↗ All evidence

Summary

This large observational cohort study (n=276,259) examined how early-life tobacco exposure—both in utero and during childhood—associates with accelerated biological aging in adulthood, assessed through multiple ageing biomarkers. In utero exposure was associated with KDM-BA acceleration of 0.26 years and PhenoAge acceleration of 0.49 years, alongside a 5.34% decrease in telomere length. The findings suggest genetic susceptibility and lifestyle factors (diet) moderate these associations, highlighting the importance of early-life tobacco exposure reduction for healthy ageing trajectories.

UK applicability

The findings are broadly applicable to UK populations, where maternal and childhood smoking exposure remain public health concerns despite declining rates. The interactions with diet and deprivation suggest that UK-based interventions targeting smoking cessation in pregnancy and early childhood, particularly in deprived communities, could have measurable benefits for adult health trajectory and ageing-related disease prevention.

Key measures

Klemera-Doubal biological age (KDM-BA) acceleration, PhenoAge acceleration, telomere length, polygenic risk score, age of smoking initiation

Outcomes reported

The study measured associations between in utero and childhood tobacco exposure with biological age acceleration (using Klemera-Doubal biological age and PhenoAge metrics) and telomere length among 276,259 participants. It assessed joint effects of tobacco exposure and polygenic risk score on accelerated aging, and identified interactions with age, sex, deprivation, and diet.

Theme
Nutrition & health
Subject
Maternal, infant & child nutrition
Study type
Research
Study design
Observational cohort
Source type
Peer-reviewed study
Status
Published
System type
Human clinical
DOI
10.1126/sciadv.adl3747
Catalogue ID
SNmoj7no8t-hz0hyt

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.