Personality traits and biological aging: the mediating role of coping behavior.

BACKGROUND

Evidence linking Big Five personality traits to clinical biomarker-based PhenoAge acceleration remains limited, and the behavioral pathways underlying these associations are not well understood.

OBJECTIVE

This study examined the associations between Big Five personality traits and PhenoAge acceleration (PhenoAA), tested health-related coping behavior as a statistical mediator, and explored differences across genetic risk strata.

METHODS

We conducted a cross-sectional analysis of 119,250 European-ancestry participants from the UK Biobank. PhenoAA was derived from clinical biomarker-based PhenoAge after adjusting for chronological age. Multivariable linear regression, mediation analysis, inverse-probability-weighted sensitivity analysis, and exploratory analyses stratified by a genetic risk score (GRS) based on 29 single-nucleotide polymorphisms were performed.

RESULTS

Neuroticism was positively associated with PhenoAA (β = 0.038, p < 0.001). Extraversion (β = -0.301, p < 0.001), conscientiousness (β = -0.314, p < 0.001), and agreeableness (β = -0.037, p < 0.01) were inversely associated with PhenoAA, while openness was not significant (β = -0.023, p > 0.05). Coping behavior statistically mediated the associations for neuroticism, extraversion, conscientiousness, and agreeableness, accounting for 15.4, 19.5, 12.3, and 28.2% of the total associations, respectively. Weighted sensitivity analyses showed similar patterns. In GRS-stratified analyses, neuroticism, extraversion, and conscientiousness showed broadly consistent associations across low- and high-GRS groups. Agreeableness was inversely associated with PhenoAA only in the high-GRS group. Interaction tests did not provide evidence of genetic effect modification.

CONCLUSION

Big Five personality traits were associated with PhenoAA, and coping behavior partly accounted for several of these associations. These findings support a biopsychosocial view of biological aging, but they should be interpreted as associations rather than causal relationships.