# Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity

## TL;DR

This study explores how genetics, lifestyle, and socioeconomic factors interact to influence healthy aging, focusing on a measure called intrinsic capacity.

## Contribution

The study identifies gene–environment interactions affecting intrinsic capacity, particularly involving diet, education, and sleep.

## Key findings

- Higher education, income, physical activity, and healthier diets are associated with higher intrinsic capacity.
- Smoking and abnormal sleep durations are linked to lower intrinsic capacity.
- Gene–environment interactions were found between polygenic scores and factors like Mediterranean diet, education, and sleep.

## Abstract

Intrinsic capacity (IC), which reflects the combined physical and mental reserve of an individual, is a key indicator of healthy aging. While genetic and environmental factors influence IC, the interaction effects between them remain poorly understood. This study investigated the independent and interaction effects of polygenic scores for IC (PGS-IC), socioeconomic status, and lifestyle factors on IC. Baseline data from the Canadian Longitudinal Study on Aging (CLSA; N = 13 112) were analyzed. Associations with IC (outcome) and interaction effects of PGS-IC and socioeconomic factors or lifestyle measures — including composite physical activity and diet scores — were examined using linear regression models. All models were adjusted for age and sex and, additionally, for 5 genetic principal components in models involving PGS-IC. Higher IC was associated with higher education, income, physical activity, and healthier diet patterns. Lower IC was observed among previous and current smokers and those with short (<7 h) or long (>9 h) sleep durations. PGS-IC was positively associated with the IC score. Significant gene–environment interactions were identified between PGS-IC and Mediterranean diet (β = −.003, 95% CI, −0.006, −0.0002), education in younger adults (β = −.109, 95% CI, −0.211, −0.007), and sleep duration (younger adults: long sleep, β = .198, 95% CI, 0.023-0.373; older adults: short sleep, β = −.095, 95% CI, −0.153, −0.036). This study provides preliminary evidence of gene–environment interactions influencing IC, with implications for future research to determine how genetic and modifiable factors can inform strategies for maintaining IC and promoting healthy aging.