Overview
- Nature Aging paper analyzed adults aged 51–90 across 27 countries using an AI-derived biobehavioral aging clock built from health and behavioral data.
- Multilingual participants were 2.17 times less likely to show accelerated aging, while monolinguals had higher odds and risk (OR≈2.11; RR≈1.43).
- Protective associations appeared in both cross-sectional (OR≈0.46) and longitudinal analyses (RR≈0.70) and persisted after extensive adjustments.
- A dose–response pattern emerged, with additional languages associated with progressively lower risk of accelerated aging.
- Authors highlight limits of causal inference and exposure measurement and call for targeted longitudinal and intervention studies, while suggesting language learning could inform public health and education policy.