TY - JOUR
T1 - Terminal decline in well-being
T2 - The role of multi-indicator constellations of physical health and psychosocial correlates
AU - Brandmaier, Andreas M.
AU - Ram, Nilam
AU - Wagner, Gert G.
AU - Gerstorf, Denis
N1 - Publisher Copyright:
© 2017 American Psychological Association.
PY - 2017/5
Y1 - 2017/5
N2 - Well-being is often relatively stable across adulthood and old age, but typically exhibits pronounced deteriorations and vast individual differences in the terminal phase of life. However, the factors contributing to these differences are not well understood. Using up to 25-year annual longitudinal data obtained from 4,404 now-deceased participants of the nationwide German Socio-Economic Panel Study (SOEP; age at death: M = 73.2 years; SD = 14.3 years; 52% women), we explored the role of multi-indicator constellations of sociodemographic variables, physical health and burden factors, and psychosocial characteristics. Expanding earlier reports, structural equation model (SEM) trees allowed us to identify profiles of variables that were associated with differences in the shape of late-life well-being trajectories. Physical health factors were found to play a major role for well-being decline, but in interaction with psychosocial characteristics such as social participation. To illustrate, for people with low social participation, disability emerged as the strongest correlate of differences in late-life well-being trajectories. However, for people with high social participation, whether or not an individual had spent considerable time in the hospital differentiated high versus low and stable versus declining late-life well-being. We corroborated these results with variable importance measures derived from a set of resampled SEM trees (so-called SEM forests) that provide robust and comparative indicators of the total interactive effects of variables for differential late-life well-being. We discuss benefits and limitations of our approach and consider our findings in the context of other reports about protective factors against terminal decline in well-being.
AB - Well-being is often relatively stable across adulthood and old age, but typically exhibits pronounced deteriorations and vast individual differences in the terminal phase of life. However, the factors contributing to these differences are not well understood. Using up to 25-year annual longitudinal data obtained from 4,404 now-deceased participants of the nationwide German Socio-Economic Panel Study (SOEP; age at death: M = 73.2 years; SD = 14.3 years; 52% women), we explored the role of multi-indicator constellations of sociodemographic variables, physical health and burden factors, and psychosocial characteristics. Expanding earlier reports, structural equation model (SEM) trees allowed us to identify profiles of variables that were associated with differences in the shape of late-life well-being trajectories. Physical health factors were found to play a major role for well-being decline, but in interaction with psychosocial characteristics such as social participation. To illustrate, for people with low social participation, disability emerged as the strongest correlate of differences in late-life well-being trajectories. However, for people with high social participation, whether or not an individual had spent considerable time in the hospital differentiated high versus low and stable versus declining late-life well-being. We corroborated these results with variable importance measures derived from a set of resampled SEM trees (so-called SEM forests) that provide robust and comparative indicators of the total interactive effects of variables for differential late-life well-being. We discuss benefits and limitations of our approach and consider our findings in the context of other reports about protective factors against terminal decline in well-being.
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U2 - 10.1037/dev0000274
DO - 10.1037/dev0000274
M3 - Article
C2 - 28459278
AN - SCOPUS:85018401834
SN - 0012-1649
VL - 53
SP - 996
EP - 1012
JO - Developmental psychology
JF - Developmental psychology
IS - 5
ER -