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...
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ftdatacite:10.6084/m9.figshare.c.5995766 2024-04-28T08:32:28+00:00 Combining education and income into a socioeconomic position score for use in studies of health inequalities ... Lindberg, Marie Hella Chen, Gang Olsen, Jan Abel Abelsen, Birgit 2022 https://dx.doi.org/10.6084/m9.figshare.c.5995766 https://springernature.figshare.com/collections/Combining_education_and_income_into_a_socioeconomic_position_score_for_use_in_studies_of_health_inequalities/5995766 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Space Science Medicine Environmental Sciences not elsewhere classified Sociology FOS Sociology Biological Sciences not elsewhere classified Science Policy Collection article 2022 ftdatacite https://doi.org/10.6084/m9.figshare.c.5995766 2024-04-02T12:06:05Z 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 ... Article in Journal/Newspaper Northern Norway DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Space Science Medicine Environmental Sciences not elsewhere classified Sociology FOS Sociology Biological Sciences not elsewhere classified Science Policy |
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Space Science Medicine Environmental Sciences not elsewhere classified Sociology FOS Sociology Biological Sciences not elsewhere classified Science Policy Lindberg, Marie Hella Chen, Gang Olsen, Jan Abel Abelsen, Birgit Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
topic_facet |
Space Science Medicine Environmental Sciences not elsewhere classified Sociology FOS Sociology Biological Sciences not elsewhere classified Science Policy |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
Lindberg, Marie Hella Chen, Gang Olsen, Jan Abel Abelsen, Birgit |
author_facet |
Lindberg, Marie Hella Chen, Gang Olsen, Jan Abel Abelsen, Birgit |
author_sort |
Lindberg, Marie Hella |
title |
Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
title_short |
Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
title_full |
Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
title_fullStr |
Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
title_full_unstemmed |
Combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
title_sort |
combining education and income into a socioeconomic position score for use in studies of health inequalities ... |
publisher |
figshare |
publishDate |
2022 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.5995766 https://springernature.figshare.com/collections/Combining_education_and_income_into_a_socioeconomic_position_score_for_use_in_studies_of_health_inequalities/5995766 |
genre |
Northern Norway |
genre_facet |
Northern Norway |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.c.5995766 |
_version_ |
1797589657282674688 |