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A global assessment of the gender gap in self-reported health with survey data from 59 countries
BACKGROUND: While surveys in high-income countries show that women generally have poorer self-reported health than men, much less is known about gender differences in other regions of the world. Such data can be used to examine the determinants of sex differences. METHODS: We analysed data on respon...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4967305/ https://www.ncbi.nlm.nih.gov/pubmed/27475755 http://dx.doi.org/10.1186/s12889-016-3352-y |
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author | Boerma, Ties Hosseinpoor, Ahmad Reza Verdes, Emese Chatterji, Somnath |
author_facet | Boerma, Ties Hosseinpoor, Ahmad Reza Verdes, Emese Chatterji, Somnath |
author_sort | Boerma, Ties |
collection | PubMed |
description | BACKGROUND: While surveys in high-income countries show that women generally have poorer self-reported health than men, much less is known about gender differences in other regions of the world. Such data can be used to examine the determinants of sex differences. METHODS: We analysed data on respondents 18 years and over from the World Health Surveys 2002–04 in 59 countries, which included multiple measures of self-reported health, eight domains of functioning and presumptive diagnoses of chronic conditions. The age-standardized female excess fraction was computed for all indicators and analysed for five regional groups of countries. Multivariate regression models were used to examine the association between country gaps in self-reported health between the sexes with societal and other background characteristics. RESULTS: Women reported significantly poorer health than men on all self-reported health indicators. The excess fraction was 15 % for the health score based on the eight domains, 28 % for “poor” or “very poor” self-rated health on the single question, and 26 % for “severe” or “extreme” on a single question on limitations. The excess female reporting of poorer health occurred at all ages, but was smaller at ages 60 and over. The female excess was observed in all regions, and was smallest in the European high-income countries. Women more frequently reported problems in specific health domains, with the excess fraction ranging from 25 % for vision to 35 % for mobility, pain and sleep, and with considerable variation between regions. Angina, arthritis and depression had female excess fractions of 33, 32 and 42 % respectively. Higher female prevalence of the presumptive diagnoses was observed in all regional country groups. The main factors affecting the size of the gender gap in self-reported health were the female-male gaps in the prevalence of chronic conditions, especially arthritis and depression and gender characteristics of the society. CONCLUSIONS: Large female-male differences in self-reported health and functioning, equivalent to a decade of growing older, consistently occurred in all regions of the world, irrespective of differences in mortality levels or societal factors. The multi-country study suggests that a mix of biological factors and societal gender inequalities are major contributing factors to gender gap in self-reported measures of health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3352-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4967305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49673052016-07-31 A global assessment of the gender gap in self-reported health with survey data from 59 countries Boerma, Ties Hosseinpoor, Ahmad Reza Verdes, Emese Chatterji, Somnath BMC Public Health Research Article BACKGROUND: While surveys in high-income countries show that women generally have poorer self-reported health than men, much less is known about gender differences in other regions of the world. Such data can be used to examine the determinants of sex differences. METHODS: We analysed data on respondents 18 years and over from the World Health Surveys 2002–04 in 59 countries, which included multiple measures of self-reported health, eight domains of functioning and presumptive diagnoses of chronic conditions. The age-standardized female excess fraction was computed for all indicators and analysed for five regional groups of countries. Multivariate regression models were used to examine the association between country gaps in self-reported health between the sexes with societal and other background characteristics. RESULTS: Women reported significantly poorer health than men on all self-reported health indicators. The excess fraction was 15 % for the health score based on the eight domains, 28 % for “poor” or “very poor” self-rated health on the single question, and 26 % for “severe” or “extreme” on a single question on limitations. The excess female reporting of poorer health occurred at all ages, but was smaller at ages 60 and over. The female excess was observed in all regions, and was smallest in the European high-income countries. Women more frequently reported problems in specific health domains, with the excess fraction ranging from 25 % for vision to 35 % for mobility, pain and sleep, and with considerable variation between regions. Angina, arthritis and depression had female excess fractions of 33, 32 and 42 % respectively. Higher female prevalence of the presumptive diagnoses was observed in all regional country groups. The main factors affecting the size of the gender gap in self-reported health were the female-male gaps in the prevalence of chronic conditions, especially arthritis and depression and gender characteristics of the society. CONCLUSIONS: Large female-male differences in self-reported health and functioning, equivalent to a decade of growing older, consistently occurred in all regions of the world, irrespective of differences in mortality levels or societal factors. The multi-country study suggests that a mix of biological factors and societal gender inequalities are major contributing factors to gender gap in self-reported measures of health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3352-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-30 /pmc/articles/PMC4967305/ /pubmed/27475755 http://dx.doi.org/10.1186/s12889-016-3352-y Text en © The Author(s). 2016 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 Article Boerma, Ties Hosseinpoor, Ahmad Reza Verdes, Emese Chatterji, Somnath A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title | A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title_full | A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title_fullStr | A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title_full_unstemmed | A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title_short | A global assessment of the gender gap in self-reported health with survey data from 59 countries |
title_sort | global assessment of the gender gap in self-reported health with survey data from 59 countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4967305/ https://www.ncbi.nlm.nih.gov/pubmed/27475755 http://dx.doi.org/10.1186/s12889-016-3352-y |
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