Document Type
Article
Publication Date
6-23-2023
Abstract
Background
Premature age-related brain changes may be influenced by physical health factors. Lower socioeconomic status (SES) is often associated with poorer physical health. In this study, we aimed to investigate the relationship between SES and premature brain aging.Methods
Brain age was estimated from T1-weighted images using BrainAgeR in 217 participants from the ABC@UofSC Repository. The difference between brain and chronological age (BrainGAP) was calculated. Multiple regression models were used to predict BrainGAP with age, SES, body mass index, diabetes, hypertension, sex, race, and education as predictors. SES was calculated from size-adjusted household income and the cost of living.Results
Fifty-five participants (25.35%) had greater brain age than chronological age (premature brain aging). Multiple regression models revealed that age, sex, and SES were significant predictors of BrainGAP with lower SES associated with greater BrainGAP (premature brain aging).Conclusions
This study demonstrates that lower SES is an independent contributor to premature brain aging. This may provide additional insight into the mechanisms associated with brain health, cognition, and resilience to neurological injury.Recommended Citation
Busby, N., Newman-Norlund, S., Sayers, S., Newman-Norlund, R., Wilmskoetter, J., Rorden, C., Nemati, S., Wilson, S., Riccardi, N., Roth, R., Johnson, L., Den Ouden, D. B., Fridriksson, J., & Bonilha, L. (2023). Lower socioeconomic status is associated with premature brain aging. Neurobiology of Aging, 130, 135-140. https://doi.org/10.1016/j.neurobiolaging.2023.06.012
Peer Reviewed
1
Copyright
The authors
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This work is licensed under a Creative Commons Attribution 4.0 License.
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Comments
This article was originally published in Neurobiology of Aging, volume 130, in 2023. https://doi.org/10.1016/j.neurobiolaging.2023.06.012