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The impact of economic recession on the association between youth unemployment and functional somatic symptoms in adulthood: a difference-in-difference analysis from Sweden

Overview of attention for article published in BMC Public Health, March 2016
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Title
The impact of economic recession on the association between youth unemployment and functional somatic symptoms in adulthood: a difference-in-difference analysis from Sweden
Published in
BMC Public Health, March 2016
DOI 10.1186/s12889-016-2917-0
Pubmed ID
Authors

Anna Brydsten, Anne Hammarström, Miguel San Sebastian

Abstract

The impact of macroeconomic conditions on health has been extensively explored, as well as the relationship between individual unemployment and health. There are, however, few studies taking both aspects into account and even fewer studies looking at the relationship in a life course perspective. In this study the aim was to assess the role of macroeconomic conditions, such as national unemployment level, for the long-term relationship between individual unemployment and functional somatic symptoms (FSS), by analysing data from two longitudinal cohorts representing different periods of unemployment level in Sweden. A difference-in-difference (DiD) analysis was applied, looking at the difference over time between recession and pre-recession periods for unemployed youths (age 21 to 25) on FSS in adulthood. FSS was constructed as an index of ten self-reported items of somatic ill-health. Covariates for socioeconomics, previous health status and social environment were included. An association was found in the difference of adult FSS between unemployed and employed youths in the pre-recession and recession periods, remaining in the adjusted model for the pre-recession period. The DiD analysis between unemployed youths showed that men had significantly lower adult FSS during the recession compared to men in the pre-recession time. Adulthood FSS showed to be significantly lower among unemployed youths, in particular among men, during recession compared to pre-recession times. Since this is a fairly unexplored research field, more research is needed to explore the role of macroeconomic conditions for various health outcomes, long-term implications and gender differences.

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The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Researcher 6 14%
Student > Master 6 14%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 13 30%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Psychology 7 16%
Nursing and Health Professions 2 5%
Economics, Econometrics and Finance 2 5%
Business, Management and Accounting 1 2%
Other 5 11%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 March 2016.
All research outputs
#15,364,458
of 22,856,968 outputs
Outputs from BMC Public Health
#11,368
of 14,888 outputs
Outputs of similar age
#177,495
of 298,823 outputs
Outputs of similar age from BMC Public Health
#180
of 231 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,888 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 298,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.