TY - JOUR
T1 - Reducing socio-economic inequalities in all-cause mortality
T2 - A counterfactual mediation approach
AU - Laine, Jessica E.
AU - Baltar, Valéria T.
AU - Stringhini, Silvia
AU - Gandini, Martina
AU - Chadeau-Hyam, Marc
AU - Kivimaki, Mika
AU - Severi, Gianluca
AU - Perduca, Vittorio
AU - Hodge, Allison M.
AU - Dugué, Pierre Antoine
AU - Giles, Graham G.
AU - Milne, Roger L.
AU - Barros, Henrique
AU - Sacerdote, Carlotta
AU - Krogh, Vittorio
AU - Panico, Salvatore
AU - Tumino, Rosario
AU - Goldberg, Marcel
AU - Zins, Marie
AU - Delpierre, Cyrille
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Background: Socio-economic inequalities in mortality are well established, yet the contribution of intermediate risk factors that may underlie these relationships remains unclear. We evaluated the role of multiple modifiable intermediate risk factors underlying socio- economic-associated mortality and quantified the potential impact of reducing early allcause mortality by hypothetically altering socio-economic risk factors. Methods: Data were from seven cohort studies participating in the LIFEPATH Consortium (total n 179 090). Using both socio-economic position (SEP) (based on occupation) and education, we estimated the natural direct effect on all-cause mortality and the natural indirect effect via the joint mediating role of smoking, alcohol intake, dietary patterns, physical activity, body mass index, hypertension, diabetes and coronary artery disease. Hazard ratios (HRs) were estimated, using counterfactual natural effect models under different hypothetical actions of either lower or higher SEP or education. Results: Lower SEP and education were associated with an increase in all-cause mortality within an average follow-up time of 17.5 years. Mortality was reduced via modelled hypothetical actions of increasing SEP or education. Through higher education, the HR was 0.85 [95% confidence interval (CI) 0.84, 0.86] for women and 0.71 (95% CI 0.70, 0.74) for men, compared with lower education. In addition, 34% and 38% of the effect was jointly mediated for women and men, respectively. The benefits from altering SEP were slightly more modest. Conclusions: These observational findings support policies to reduce mortality both through improving socio-economic circumstances and increasing education, and by altering intermediaries, such as lifestyle behaviours and morbidities.
AB - Background: Socio-economic inequalities in mortality are well established, yet the contribution of intermediate risk factors that may underlie these relationships remains unclear. We evaluated the role of multiple modifiable intermediate risk factors underlying socio- economic-associated mortality and quantified the potential impact of reducing early allcause mortality by hypothetically altering socio-economic risk factors. Methods: Data were from seven cohort studies participating in the LIFEPATH Consortium (total n 179 090). Using both socio-economic position (SEP) (based on occupation) and education, we estimated the natural direct effect on all-cause mortality and the natural indirect effect via the joint mediating role of smoking, alcohol intake, dietary patterns, physical activity, body mass index, hypertension, diabetes and coronary artery disease. Hazard ratios (HRs) were estimated, using counterfactual natural effect models under different hypothetical actions of either lower or higher SEP or education. Results: Lower SEP and education were associated with an increase in all-cause mortality within an average follow-up time of 17.5 years. Mortality was reduced via modelled hypothetical actions of increasing SEP or education. Through higher education, the HR was 0.85 [95% confidence interval (CI) 0.84, 0.86] for women and 0.71 (95% CI 0.70, 0.74) for men, compared with lower education. In addition, 34% and 38% of the effect was jointly mediated for women and men, respectively. The benefits from altering SEP were slightly more modest. Conclusions: These observational findings support policies to reduce mortality both through improving socio-economic circumstances and increasing education, and by altering intermediaries, such as lifestyle behaviours and morbidities.
KW - All-cause mortality
KW - Causal inference
KW - Health behaviours
KW - Intervention
KW - Mediation
KW - Multiple mediators
KW - Socio-economic inequalities
UR - http://www.scopus.com/inward/record.url?scp=85078076754&partnerID=8YFLogxK
U2 - 10.1093/IJE/DYZ248
DO - 10.1093/IJE/DYZ248
M3 - Article
C2 - 31855265
AN - SCOPUS:85078076754
SN - 0300-5771
VL - 49
SP - 497
EP - 510
JO - International Journal of Epidemiology
JF - International Journal of Epidemiology
IS - 2
ER -