TY - JOUR
T1 - Heterogenous trajectories in physical, mental and cognitive health among older Americans
T2 - Roles of genetics and life course contextual factors
AU - Hoang, Cung Truong
AU - Amin, Vikesh
AU - Behrman, Jere R.
AU - Kohler, Hans Peter
AU - Kohler, Illiana V.
N1 - Funding Information:
Vikesh Amin acknowledges research funding from NIH grant number 1R01HD094011-01 .
Publisher Copyright:
© 2023 The Authors
PY - 2023/9
Y1 - 2023/9
N2 - We investigate the roles of genetic predispositions, childhood SES and adult educational attainment in shaping trajectories for three important components of the overall health of older adults – BMI, depressive symptoms and cognition. We use the Health & Retirement Study (HRS) and group-based trajectory modeling (GBTM) to identify subgroups of people who share the same underlying trajectories ages 51–94 years. After identifying common underlying health trajectories, we use fractional multinomial logit models to estimate associations of (1) polygenic scores for BMI, depression, ever-smoked, education, cognition and subjective wellbeing, (2) childhood SES and (3) educational attainment with the probabilities of trajectory group memberships. While genetic predispositions do play a part in predicting trajectory group memberships, our results highlight the long arm of socioeconomic factors. Educational attainment is the most robust predictor—it predicts increased probabilities of belonging to trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition. Childhood circumstances are manifested in trajectories to a lesser extent, with childhood SES predicting higher likelihood of being on the low depressive symptoms and very-high initial cognition trajectories. We also find suggestive evidence that associations of educational attainment on the probabilities of being on trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition vary with genetic predispositions. Our results suggest that policies to increase educational attainment may improve population health by increasing the likelihood of belonging to “good” aging trajectories.
AB - We investigate the roles of genetic predispositions, childhood SES and adult educational attainment in shaping trajectories for three important components of the overall health of older adults – BMI, depressive symptoms and cognition. We use the Health & Retirement Study (HRS) and group-based trajectory modeling (GBTM) to identify subgroups of people who share the same underlying trajectories ages 51–94 years. After identifying common underlying health trajectories, we use fractional multinomial logit models to estimate associations of (1) polygenic scores for BMI, depression, ever-smoked, education, cognition and subjective wellbeing, (2) childhood SES and (3) educational attainment with the probabilities of trajectory group memberships. While genetic predispositions do play a part in predicting trajectory group memberships, our results highlight the long arm of socioeconomic factors. Educational attainment is the most robust predictor—it predicts increased probabilities of belonging to trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition. Childhood circumstances are manifested in trajectories to a lesser extent, with childhood SES predicting higher likelihood of being on the low depressive symptoms and very-high initial cognition trajectories. We also find suggestive evidence that associations of educational attainment on the probabilities of being on trajectories with BMI in the normal range, low depressive symptoms and very-high initial cognition vary with genetic predispositions. Our results suggest that policies to increase educational attainment may improve population health by increasing the likelihood of belonging to “good” aging trajectories.
KW - Aging trajectories
KW - Childhood socioeconomic status
KW - Education
KW - GBTM
KW - HRS
KW - Polygenic scores
UR - http://www.scopus.com/inward/record.url?scp=85165385077&partnerID=8YFLogxK
U2 - 10.1016/j.ssmph.2023.101448
DO - 10.1016/j.ssmph.2023.101448
M3 - Article
AN - SCOPUS:85165385077
SN - 2352-8273
VL - 23
JO - SSM - Population Health
JF - SSM - Population Health
M1 - 101448
ER -