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Observational study

Public Health · Internal Medicine · 1 h ago

Environmental risks and pain associated with lower successful aging in Chinese cohort

A prospective CHARLS cohort study followed 3,756 adults aged 60 years or older from 2011 to 2018. Higher living-environment risk scores and self-reported pain were each associated with a lower probability of successful aging, with the lowest probability observed among participants exposed to both.

Researchers analyzed 3,756 adults aged 60 years or older enrolled in the 2011 wave of the China Health and Retirement Longitudinal Study (CHARLS), with follow-up through 2018. They assessed six living environmental risk domains—outdoor PM₂.₅, household energy, water source, housing type, indoor temperature and relative humidity—and self-reported pain. Successful aging was defined using the Rowe and Kahn framework. Cox regression assessed associations, and restricted cubic splines characterized the environmental-risk dose–response relationship.

A higher environmental-risk score was associated with a lower probability of successful aging (HR 0.80, 95% CI 0.72–0.89); the association was linear. Participants reporting pain also had a lower probability than those without pain (HR 0.44, 95% CI 0.31–0.64). Compared with participants with lower environmental risks and no pain, those with higher risks and pain had the lowest probability (HR 0.26, 95% CI 0.15–0.44). Associations were more pronounced in women, people with kidney disease and those with lower educational attainment.

The findings identify environmental conditions and pain as factors associated with successful aging, but the cohort design cannot establish that either causes changes in aging outcomes. The study’s recommendation for combined environmental and pain interventions was not tested as an intervention in this analysis.

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Source

BMC Public Health: Associations of living environmental risk factors and pain with successful aging among older adults in China: longitudinal evidence from the CHARLS cohort ↗

This is an automated AI-condensed summary that has not yet been reviewed by an editor. Always consult the full item at the original source.