TY - JOUR
T1 - Longitudinal change of self-perceptions of aging and mortality
AU - Sargent-Cox, Kerry A.
AU - Anstey, Kaarin J.
AU - Luszcz, Mary A.
PY - 2014/3
Y1 - 2014/3
N2 - Objective.To understand the association between self-perceptions of aging (SPA) and mortality in late life.Method.The sample (n = 1,507) was drawn from the Australian Longitudinal Study of Aging (baseline age = 65-103 years). We used joint growth curve and survival models on 5 waves of data for a period of 16 years to investigate the random intercept and slope of SPA for predicting all-cause mortality.Results.The unadjusted model revealed that poor SPA at baseline, as well as decline in SPA, increased the risk of mortality (SPA intercept hazard ratio [HR] = 1.21, 95% confidence interval [CI] = 1.13, 1.31; SPA slope HR = 1.17, 95% CI = 1.02, 1.33). This relationship remained significant for the SPA intercept after adjusting for other risk factors including demographics, physical health, cognitive functioning, and well-being.Conclusion.These findings suggest that a single measurement of SPA in late life may be very informative of future long-Term vulnerability to health decline and mortality. Furthermore, a dynamic measure of SPA may be indicative of adaptation to age-related changes. This supports a "self- fulfilling" hypothesis, whereby SPA is a lens through which age-related changes are interpreted, and these interpretations can affect future health and health behaviors.
AB - Objective.To understand the association between self-perceptions of aging (SPA) and mortality in late life.Method.The sample (n = 1,507) was drawn from the Australian Longitudinal Study of Aging (baseline age = 65-103 years). We used joint growth curve and survival models on 5 waves of data for a period of 16 years to investigate the random intercept and slope of SPA for predicting all-cause mortality.Results.The unadjusted model revealed that poor SPA at baseline, as well as decline in SPA, increased the risk of mortality (SPA intercept hazard ratio [HR] = 1.21, 95% confidence interval [CI] = 1.13, 1.31; SPA slope HR = 1.17, 95% CI = 1.02, 1.33). This relationship remained significant for the SPA intercept after adjusting for other risk factors including demographics, physical health, cognitive functioning, and well-being.Conclusion.These findings suggest that a single measurement of SPA in late life may be very informative of future long-Term vulnerability to health decline and mortality. Furthermore, a dynamic measure of SPA may be indicative of adaptation to age-related changes. This supports a "self- fulfilling" hypothesis, whereby SPA is a lens through which age-related changes are interpreted, and these interpretations can affect future health and health behaviors.
KW - Joint random effects
KW - Mortality
KW - Self-perceptions of aging
KW - Time-To-event modeling
UR - http://www.scopus.com/inward/record.url?scp=84894256860&partnerID=8YFLogxK
U2 - 10.1093/geronb/gbt005
DO - 10.1093/geronb/gbt005
M3 - Article
SN - 1079-5014
VL - 69
SP - 168
EP - 173
JO - Journals of Gerontology - Series B Psychological Sciences and Social Sciences
JF - Journals of Gerontology - Series B Psychological Sciences and Social Sciences
IS - 2
ER -