Biological age and brain age in midlife: relationship to multimorbidity and mental health.
Neurobiol Aging
; 132: 145-153, 2023 Dec.
Article
in En
| MEDLINE
| ID: mdl-37804610
ABSTRACT
Biological age and brain age estimated using biological and neuroimaging measures have recently emerged as surrogate aging biomarkers shown to be predictive of diverse health outcomes. As aging underlies the development of many chronic conditions, surrogate aging biomarkers capture health at the whole person level, having the potential to improve our understanding of multimorbidity. Our study investigates whether elevated biological age and brain age are associated with an increased risk of multimorbidity using a large dataset from the Midlife in the United States Refresher study. Ensemble learning is utilized to combine multiple machine learning models to estimate biological age using a comprehensive set of biological markers. Brain age is obtained using Gaussian processes regression and neuroimaging data. Our study is the first to examine the relationship between accelerated brain age and multimorbidity. Furthermore, it is the first attempt to explore how biological age and brain age are related to multimorbidity in mental health. Our findings hold the potential to advance the understanding of disease accumulation and their relationship with aging.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Mental Health
/
Multimorbidity
Type of study:
Prognostic_studies
Limits:
Humans
Country/Region as subject:
America do norte
Language:
En
Journal:
Neurobiol Aging
Year:
2023
Document type:
Article