Combining education and income into a socioeconomic position score for use in studies of health inequalities

Abstract Background In studies of social inequalities in health, there is no consensus on the best measure of socioeconomic position (SEP). Moreover, subjective indicators are increasingly used to measure SEP. The aim of this paper was to develop a composite score for SEP based on weighted combinati...

Full description

Bibliographic Details
Published in:BMC Public Health
Main Authors: Marie Hella Lindberg, Gang Chen, Jan Abel Olsen, Birgit Abelsen
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2022
Subjects:
Socioeconomic position
Socioeconomic status
Health inequalities
Health-related quality of life
Composite indicator
Public aspects of medicine
RA1-1270
Norway
Northern Norway
Online Access:https://doi.org/10.1186/s12889-022-13366-8
https://doaj.org/article/79885bc2aec94cbb81d0e591ecfd1430
Description
Summary:Abstract Background In studies of social inequalities in health, there is no consensus on the best measure of socioeconomic position (SEP). Moreover, subjective indicators are increasingly used to measure SEP. The aim of this paper was to develop a composite score for SEP based on weighted combinations of education and income in estimating subjective SEP, and examine how this score performs in predicting inequalities in health-related quality of life (HRQoL). Methods We used data from a comprehensive health survey from Northern Norway, conducted in 2015/16 (N = 21,083). A composite SEP score was developed using adjacent-category logistic regression of subjective SEP as a function of four education and four household income levels. Weights were derived based on these indicators’ coefficients in explaining variations in respondents’ subjective SEP. The composite SEP score was further applied to predict inequalities in HRQoL, measured by the EQ-5D and a visual analogue scale. Results Education seemed to influence SEP the most, while income added weight primarily for the highest income category. The weights demonstrated clear non-linearities, with large jumps from the middle to the higher SEP score levels. Analyses of the composite SEP score indicated a clear social gradient in both HRQoL measures. Conclusions We provide new insights into the relative contribution of education and income as sources of SEP, both separately and in combination. Combining education and income into a composite SEP score produces more comprehensive estimates of the social gradient in health. A similar approach can be applied in any cohort study that includes education and income data.

Similar Items