ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026
Associations and interaction effects of socioeconomic, lifestyle, and genetic factors on intrinsic capacity.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Definition and conceptual framework of the psychological domain of intrinsic capacity in healthy ageing: outcomes from the MOSAIC International Working Group.The journal of nutrition, health & aging · 2026Article
- A Multimodal Framework for Organ- and Cell-Resolved Biological Aging and Longevity Intervention Discovery.medRxiv : the preprint server for health sciences · 2026Article
- Latent profile analysis and analytical model construction based on heterogeneity of intrinsic capacity in Chinese older adults.Frontiers in aging neuroscience · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.