Different dimensions of smoking behavior and their associations with accelerated composite biomarkers-based biological aging in Chinese older adults.

ABSTRACT:

Background

Smoking is a leading risk factor for numerous adverse health outcomes. However, in the context of a dramatically increasing aging population, evidence on how different dimensions of smoking characteristics is associated with biological aging remains limited and inconclusive.

Methods

This cross-sectional study involved 143,955 participants aged ≥ 65 years from the Chinese National Basic Public Health Services Project in 2021. A composite biomarkers-based biological age (BA) was constructed using the Klemera-Doubal method (KDM). We estimated the associations of different dimensions of smoking (including smoking status, smoking initiation age, cigarettes smoked per day, smoking duration, years of smoking-to-age ratio, and cumulative smoking pack-years) with the value

SUBMITTER: Tang D 

PROVIDER: S-EPMC12771984 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature