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Employment status and health: understanding the health of the economically inactive population in Scotland

Overview of attention for article published in BMC Public Health, May 2012
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Title
Employment status and health: understanding the health of the economically inactive population in Scotland
Published in
BMC Public Health, May 2012
DOI 10.1186/1471-2458-12-327
Pubmed ID
Authors

Judith Brown, Evangelia Demou, Madeleine Ann Tristram, Harper Gilmour, Kaveh A Sanati, Ewan B Macdonald

Abstract

ABSTRACT: BACKGROUND: Although the association between health and unemployment has been well examined, less attention has been paid to the health of the economically inactive (EI) population. Scotland has one of the worst health records compared to any Western European country and the EI population account for 23% of the working age population. The aim of this study is to investigate and compare the health outcomes and behaviours of the employed, unemployed and the EI populations (further subdivided into the permanently sick, looking after home and family [LAHF] and others) in Scotland. METHODS: Using data from the 2003 Scottish Health Survey, the differences in health and health behaviours among the employed, unemployed and the subgroups of the EI population were examined. RESULTS: Both low educational attainment and residence in a deprived community were more likely in the permanently sick group. The LAHF and the unemployed showed worse self-reported health and limiting longstanding illness compared to the employed but no significant differences were observed between these groups. The permanently sick group had significantly poorer health outcomes than all the other economic groups. Similar to the unemployed and LAHF they are more likely to smoke than the employed but less likely (along with LAHF and 'others') to exhibit heavy alcohol consumption. Interestingly, the LAHF showed better mental health than the rest of the EI group, but a similar mental health status to the unemployed. On the physical health element of lung function, the LAHF were no worse than the employed. CONCLUSION: While on-going health promotion and vocational rehabilitation efforts need to be directed towards all, our data suggests that the EI group is at higher risk and policies and strategies directed at this group may need particular attention.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 118 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 16%
Student > Ph. D. Student 15 13%
Student > Bachelor 15 13%
Student > Master 13 11%
Student > Doctoral Student 12 10%
Other 13 11%
Unknown 32 27%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Social Sciences 16 13%
Nursing and Health Professions 10 8%
Economics, Econometrics and Finance 5 4%
Psychology 4 3%
Other 14 12%
Unknown 38 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 February 2017.
All research outputs
#13,129,127
of 22,664,644 outputs
Outputs from BMC Public Health
#9,202
of 14,744 outputs
Outputs of similar age
#89,781
of 163,491 outputs
Outputs of similar age from BMC Public Health
#115
of 195 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,744 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 36th percentile – i.e., 36% 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 163,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.