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Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators

BACKGROUND: Socioeconomic inequalities in health is a widely studied topic. However, epidemiological research tends to focus on one or a few outcomes conditioned on one indicator, overlooking the fact that health inequalities can vary depending on the outcome studied and the indicator used. To bridg...

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Autores principales: Degerlund Maldi, Kinza, San Sebastian, Miguel, Gustafsson, Per E., Jonsson, Frida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921510/
https://www.ncbi.nlm.nih.gov/pubmed/31852487
http://dx.doi.org/10.1186/s12939-019-1100-5
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author Degerlund Maldi, Kinza
San Sebastian, Miguel
Gustafsson, Per E.
Jonsson, Frida
author_facet Degerlund Maldi, Kinza
San Sebastian, Miguel
Gustafsson, Per E.
Jonsson, Frida
author_sort Degerlund Maldi, Kinza
collection PubMed
description BACKGROUND: Socioeconomic inequalities in health is a widely studied topic. However, epidemiological research tends to focus on one or a few outcomes conditioned on one indicator, overlooking the fact that health inequalities can vary depending on the outcome studied and the indicator used. To bridge this gap, this study aims to provide a comprehensive picture of the patterns of socioeconomic health inequalities in Northern Sweden over time, across a range of health outcomes, using an ‘outcome-wide’ epidemiological approach. METHOD: Cross-sectional data from three waves of the ‘Health on Equal Terms’ survey, distributed in 2006, 2010 and 2014 were used. Firstly, socioeconomic inequalities by income and education for twelve outcomes (self-rated health, self-rated dental health, overweight, hypertension, diabetes, long-term illness, stress, depression, psychological distress, smoking, risky alcohol consumption, and physical inactivity) were examined by calculating the Slope Index of Inequality. Secondly, time trends for each outcome and socioeconomic indicator were estimated. RESULTS: Income inequalities increased for psychological distress and physical inactivity in men as well as for self-rated health, overweight, hypertension, long-term illness, and smoking among women. Educational inequalities increased for hypertension, long-term illness, and stress (the latter favouring lower education) in women. The only instance of decreasing income inequalities was seen for long-term illness in men, while education inequalities decreased for long-term illness in men and poor self-rated health, poor self-rated dental health, and smoking in women. CONCLUSION: Patterns of absolute socioeconomic inequalities in health vary by health and socioeconomic indicator, as well as between men and women. Overall, trends appear more stagnant in men while they fluctuate in women. Income inequalities seem to be generally greater than educational inequalities when looking across several different health indicators, a message that can only be derived from this type of outcome-wide study. These disparate findings suggest that generalised and universal statements about the development of health inequalities can be too simplistic and potentially misleading. Nonetheless, despite inequalities being complex, they do exist and tend to increase. Thus, an outcome-wide approach is a valuable method which should be utilised to generate evidence for prioritisations of policy decisions.
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spelling pubmed-69215102019-12-30 Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators Degerlund Maldi, Kinza San Sebastian, Miguel Gustafsson, Per E. Jonsson, Frida Int J Equity Health Research BACKGROUND: Socioeconomic inequalities in health is a widely studied topic. However, epidemiological research tends to focus on one or a few outcomes conditioned on one indicator, overlooking the fact that health inequalities can vary depending on the outcome studied and the indicator used. To bridge this gap, this study aims to provide a comprehensive picture of the patterns of socioeconomic health inequalities in Northern Sweden over time, across a range of health outcomes, using an ‘outcome-wide’ epidemiological approach. METHOD: Cross-sectional data from three waves of the ‘Health on Equal Terms’ survey, distributed in 2006, 2010 and 2014 were used. Firstly, socioeconomic inequalities by income and education for twelve outcomes (self-rated health, self-rated dental health, overweight, hypertension, diabetes, long-term illness, stress, depression, psychological distress, smoking, risky alcohol consumption, and physical inactivity) were examined by calculating the Slope Index of Inequality. Secondly, time trends for each outcome and socioeconomic indicator were estimated. RESULTS: Income inequalities increased for psychological distress and physical inactivity in men as well as for self-rated health, overweight, hypertension, long-term illness, and smoking among women. Educational inequalities increased for hypertension, long-term illness, and stress (the latter favouring lower education) in women. The only instance of decreasing income inequalities was seen for long-term illness in men, while education inequalities decreased for long-term illness in men and poor self-rated health, poor self-rated dental health, and smoking in women. CONCLUSION: Patterns of absolute socioeconomic inequalities in health vary by health and socioeconomic indicator, as well as between men and women. Overall, trends appear more stagnant in men while they fluctuate in women. Income inequalities seem to be generally greater than educational inequalities when looking across several different health indicators, a message that can only be derived from this type of outcome-wide study. These disparate findings suggest that generalised and universal statements about the development of health inequalities can be too simplistic and potentially misleading. Nonetheless, despite inequalities being complex, they do exist and tend to increase. Thus, an outcome-wide approach is a valuable method which should be utilised to generate evidence for prioritisations of policy decisions. BioMed Central 2019-12-18 /pmc/articles/PMC6921510/ /pubmed/31852487 http://dx.doi.org/10.1186/s12939-019-1100-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Degerlund Maldi, Kinza
San Sebastian, Miguel
Gustafsson, Per E.
Jonsson, Frida
Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title_full Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title_fullStr Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title_full_unstemmed Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title_short Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators
title_sort widespread and widely widening? examining absolute socioeconomic health inequalities in northern sweden across twelve health indicators
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921510/
https://www.ncbi.nlm.nih.gov/pubmed/31852487
http://dx.doi.org/10.1186/s12939-019-1100-5
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