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  Self-rated health and mortality: family background and genetic precursors

Finch, B. K., Finkel, D., Gatz, M., Pedersen, N. L., Reynolds, C. A., Sachdev, P., et al. (2025). Self-rated health and mortality: family background and genetic precursors. Discover Social Science and Health, 5: 139. doi:10.1007/s44155-025-00290-6.

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kog-25-mos-03-self.pdf (Publisher version), 757KB
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Copyright Date:
2025
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This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

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 Creators:
Finch, Brian Karl, Author
Finkel, Deborah, Author
Gatz, Margaret, Author
Pedersen, Nancy L., Author
Reynolds, Chandra A., Author
Sachdev, Perminder, Author
Selwood, Amanda, Author
Martin, Nick, Author
Mosing, Miriam A.1, Author                 
Affiliations:
1Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_3351901              

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Free keywords: Consanguinity, Genetic Interaction, Genetic association study, Mortality and Longevity, Risk Factors, Genetic predisposition to disease
 Abstract: Background
Self-rated health (SRH) strongly predicts future mortality, even after controlling for various confounding factors. This study investigates two potential confounders of the SRH/mortality relationship—shared family background and genetics.

Methods
We analyze a dataset of several harmonized twin studies from the integrating genes and environment from multiple studies consortium. Utilizing a within-between twin methodology, we assess whether the SRH/mortality relationship can be explained by social and genetic inheritance.

Results
Our within-twin estimates are notably lower than the observational estimates, although the difference is statistically non-significant, indicating no substantial confounding from family background. Additionally, we find no significant interaction effects by zygosity, suggesting no confounding from shared genetic factors.

Conclusions
SRH has been shown to be robust to multiple sources of variation, including demographic sub-groups and contemporary controls for clinical assessments. This study reaffirms the resilience of the SRH/mortality relationship against confounding from shared family background and genetic factors.

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Language(s): eng - English
 Dates: 2024-10-082025-08-272025-10-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s44155-025-00290-6
 Degree: -

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Title: Discover Social Science and Health
Source Genre: Journal
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Publ. Info: Springer
Pages: - Volume / Issue: 5 Sequence Number: 139 Start / End Page: - Identifier: ISSN: 2731-0469