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A global assessment of the gender gap in self-reported health with survey data from 59 countries

Overview of attention for article published in BMC Public Health, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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2 news outlets
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169 Dimensions

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Title
A global assessment of the gender gap in self-reported health with survey data from 59 countries
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3352-y
Pubmed ID
Authors

Ties Boerma, Ahmad Reza Hosseinpoor, Emese Verdes, Somnath Chatterji

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Portugal 1 <1%
Unknown 213 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 13%
Student > Master 25 12%
Researcher 24 11%
Student > Bachelor 22 10%
Student > Doctoral Student 11 5%
Other 34 16%
Unknown 70 33%
Readers by discipline Count As %
Social Sciences 31 14%
Medicine and Dentistry 29 13%
Nursing and Health Professions 16 7%
Psychology 14 7%
Economics, Econometrics and Finance 6 3%
Other 35 16%
Unknown 84 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2024.
All research outputs
#2,134,084
of 25,093,754 outputs
Outputs from BMC Public Health
#2,450
of 16,733 outputs
Outputs of similar age
#38,787
of 375,220 outputs
Outputs of similar age from BMC Public Health
#61
of 369 outputs
Altmetric has tracked 25,093,754 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,733 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 375,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 369 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.