TY - JOUR
T1 - Subjective socioeconomic status and self-rated health in the English Longitudinal Study of Aging
T2 - A fixed-effects analysis
AU - Coustaury, Camille
AU - Jeannot, Elias
AU - Moreau, Adele
AU - Nietge, Clotilde
AU - Maharani, Asri
AU - Richards, Lindsay
AU - Präg, Patrick
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/11/1
Y1 - 2023/11/1
N2 - Higher subjective socio-economic status (SES) goes along with better self-rated health: This finding is well-established in the literature, yet the majority of studies it is based on only rely on cross-sectional analyses and only account for few potential confounders of the association. Particularly wealth, which is increasingly thought of as an important dimension of accumulated advantage, is only rarely examined as a confounder. Using eight waves of panel data from the English Longitudinal Study of Aging (ELSA, 2002–19), we investigate the association between subjective SES and self-rated health. We use random effects models that account for theoretically important time-constant (such as education and social class) and time-varying confounders (such as income and wealth) as well as fixed-effects models, that in addition control for all time-constant confounders, whether observed or unobserved. The fully adjusted fixed-effects model reveals a statistically significant association between subjective SES and self-rated health. Yet, a one-point increase on the subjective SES ladder goes along with a two per cent of a standard deviation increase in self-rated health, only around a quarter of the size of the random-effects estimate. The role of wealth for the subjective SES–self-rated health association is negligible in the fixed-effects specifications. Smoking, drinking, and physical activity do not appear to mediate the association. A substantial part, though not all, of the observed association between subjective SES and self-rated health is due to unobserved confounding rather than a causal effect. Reducing health inequalities based on objective SES is likely more effective than based on subjective SES.
AB - Higher subjective socio-economic status (SES) goes along with better self-rated health: This finding is well-established in the literature, yet the majority of studies it is based on only rely on cross-sectional analyses and only account for few potential confounders of the association. Particularly wealth, which is increasingly thought of as an important dimension of accumulated advantage, is only rarely examined as a confounder. Using eight waves of panel data from the English Longitudinal Study of Aging (ELSA, 2002–19), we investigate the association between subjective SES and self-rated health. We use random effects models that account for theoretically important time-constant (such as education and social class) and time-varying confounders (such as income and wealth) as well as fixed-effects models, that in addition control for all time-constant confounders, whether observed or unobserved. The fully adjusted fixed-effects model reveals a statistically significant association between subjective SES and self-rated health. Yet, a one-point increase on the subjective SES ladder goes along with a two per cent of a standard deviation increase in self-rated health, only around a quarter of the size of the random-effects estimate. The role of wealth for the subjective SES–self-rated health association is negligible in the fixed-effects specifications. Smoking, drinking, and physical activity do not appear to mediate the association. A substantial part, though not all, of the observed association between subjective SES and self-rated health is due to unobserved confounding rather than a causal effect. Reducing health inequalities based on objective SES is likely more effective than based on subjective SES.
KW - Relative deprivation
KW - Social comparison
KW - Social status
KW - Subjective socioeconomic position
U2 - 10.1016/j.socscimed.2023.116235
DO - 10.1016/j.socscimed.2023.116235
M3 - Article
C2 - 37757700
AN - SCOPUS:85171842714
SN - 0277-9536
VL - 336
JO - Social Science and Medicine
JF - Social Science and Medicine
M1 - 116235
ER -