OBJECTIVE: To examine variation in the magnitude of socioeconomic inequalities in health and age-related variations in inequalities, according to the socioeconomic status (SES) measure used. METHODS: Cross-sectional study involving 205,709 participants in the 45 and Up Study. We used the Relative Index of Inequality (RII) to quantify health inequalities in relation to income, education and Socio-Economic Indexes for Areas (SEIFA). The outcomes used were heart disease and self-rated health. Analyses were stratified by age (45-64, 65-79, ≥80 years). RESULTS: RIIs were largest for income and smallest for SEIFA; they were generally largest in the youngest age group and smallest in the oldest group. Age-related differences in RIIs were particularly marked for income (e.g. for fair/poor health, RII=11.81, 95%CI 11.14-12.53 in the 45-64 age group and RII=2.42, 95%CI 2.10-2.78 in ≥80 group), and less marked for SEIFA (e.g. respectively, RII=2.68, 95%CI 2.53-2.84 and RII=1.32, 95%CI 1.22-1.44). CONCLUSIONS: The magnitude of socioeconomic inequality in health varies substantially according to the type of SES measure used and age. Income is the most sensitive measure. IMPLICATIONS: Researchers and policy makers should be aware of the extent to which SEIFA-based estimates underestimate the magnitude of health inequality compared to individual-level measures, especially in younger age groups.
OBJECTIVE: To examine variation in the magnitude of socioeconomic inequalities in health and age-related variations in inequalities, according to the socioeconomic status (SES) measure used. METHODS: Cross-sectional study involving 205,709 participants in the 45 and Up Study. We used the Relative Index of Inequality (RII) to quantify health inequalities in relation to income, education and Socio-Economic Indexes for Areas (SEIFA). The outcomes used were heart disease and self-rated health. Analyses were stratified by age (45-64, 65-79, ≥80 years). RESULTS: RIIs were largest for income and smallest for SEIFA; they were generally largest in the youngest age group and smallest in the oldest group. Age-related differences in RIIs were particularly marked for income (e.g. for fair/poor health, RII=11.81, 95%CI 11.14-12.53 in the 45-64 age group and RII=2.42, 95%CI 2.10-2.78 in ≥80 group), and less marked for SEIFA (e.g. respectively, RII=2.68, 95%CI 2.53-2.84 and RII=1.32, 95%CI 1.22-1.44). CONCLUSIONS: The magnitude of socioeconomic inequality in health varies substantially according to the type of SES measure used and age. Income is the most sensitive measure. IMPLICATIONS: Researchers and policy makers should be aware of the extent to which SEIFA-based estimates underestimate the magnitude of health inequality compared to individual-level measures, especially in younger age groups.
Authors: Katherine M Livingstone; Dana Lee Olstad; Rebecca M Leech; Kylie Ball; Beth Meertens; Jane Potter; Xenia Cleanthous; Rachael Reynolds; Sarah A McNaughton Journal: Nutrients Date: 2017-10-04 Impact factor: 5.717
Authors: Mohammad Akhtar Hussain; Judith M Katzenellenbogen; Frank M Sanfilippo; Kevin Murray; Sandra C Thompson Journal: PLoS One Date: 2018-08-14 Impact factor: 3.240