↓ Skip to main content

Health inequalities between employed and unemployed in northern Sweden: a decomposition analysis of social determinants for mental health

Overview of attention for article published in International Journal for Equity in Health, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
224 Mendeley
Title
Health inequalities between employed and unemployed in northern Sweden: a decomposition analysis of social determinants for mental health
Published in
International Journal for Equity in Health, May 2018
DOI 10.1186/s12939-018-0773-5
Pubmed ID
Authors

Anna Brydsten, Anne Hammarström, Miguel San Sebastian

Abstract

Even though population health is strongly influenced by employment and working conditions, public health research has to a lesser extent explored the social determinants of health inequalities between people in different positions on the labour market, and whether these social determinants vary across the life course. This study analyses mental health inequalities between unemployed and employed in three age groups (youth, adulthood and mid-life), and identifies the extent to which social determinants explain the mental health gap between employed and unemployed in northern Sweden. The Health on Equal Terms survey of 2014 was used, with self-reported employment (unemployed or employed) as exposure and the General Health Questionnaire (GHQ-12) as mental health outcome. The social determinants of health inequalities were grouped into four dimensions: socioeconomic status, economic resources, social network and trust in institutional systems. The non-linear Oaxaca decomposition analysis was applied, stratified by gender and age groups. Mental health inequality was found in all age groups among women and men (difference in GHQ varying between 0.12 and 0.20). The decomposition analysis showed that the social determinants included in the model accounted for 43-51% of the inequalities among youths, 42-98% of the inequalities among adults and 60-65% among middle-aged. The main contributing factors were shown to vary between age groups: cash margin (among youths and middle-aged men), financial strain (among adults and middle-aged women), income (among men in adulthood), along with trust in others (all age groups), practical support (young women) and social support (middle-aged men); stressing how the social determinants of health inequalities vary across the life course. The health gap between employed and unemployed was explained by the difference in access to economic and social resources, and to a smaller extent in the trust in the institutional systems. Findings from this study corroborate that much of the mental health inequality in the Swedish labour market is socially and politically produced and potentially avoidable. Greater attention from researchers, policy makers on unemployment and public health should be devoted to the social and economic deprivation of unemployment from a life course perspective to prevent mental health inequality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 224 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 13%
Student > Bachelor 20 9%
Researcher 18 8%
Student > Doctoral Student 16 7%
Student > Ph. D. Student 14 6%
Other 22 10%
Unknown 105 47%
Readers by discipline Count As %
Medicine and Dentistry 31 14%
Social Sciences 25 11%
Nursing and Health Professions 19 8%
Psychology 16 7%
Economics, Econometrics and Finance 8 4%
Other 15 7%
Unknown 110 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 26 July 2020.
All research outputs
#2,120,877
of 23,055,429 outputs
Outputs from International Journal for Equity in Health
#356
of 1,930 outputs
Outputs of similar age
#47,106
of 327,737 outputs
Outputs of similar age from International Journal for Equity in Health
#9
of 51 outputs
Altmetric has tracked 23,055,429 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 81% 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 327,737 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 85% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.