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Do employment factors reduce the effect of low education on mental health? A causal mediation analysis using a national panel study

Overview of attention for article published in International Journal of Epidemiology, July 2018
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Article details
Title
Do employment factors reduce the effect of low education on mental health? A causal mediation analysis using a national panel study
Published in
International Journal of Epidemiology, July 2018
DOI 10.1093/ije/dyy128
Pubmed ID
Authors
Abstract

Young people with low education have worse health than those with higher education. This paper examined the extent to which employment and income reduced the adverse effects of low education on mental health among people aged 20-35 years. We used causal mediation analyses to estimate the total causal effect (TCE) of low education on mental health and to decompose the effect into the natural direct effect (NDE) and the natural indirect effect (NIE) through two mediators examined sequentially: employment (labour-force participation/occupation skill level) and income. Three waves of the Household, Income and Labour Dynamics in Australia (HILDA) survey (2012-14) were used to establish a temporal sequence between low education (not completing high school), mediators and mental health [the Mental Health Inventory (MHI-5)] among participants aged 20-35 years. Among those who were employed, we conducted further analyses examining the effect of job characteristics as a mediator of the relationship between low education and mental health. The TCE of low education on the MHI-5 was -3.61 [95% confidence interval (CI) -5.30 to -1.92]. The NIE through labour force status and occupational skill level was -1.09 (95% CI -2.29 to 0.10) and -1.49 (95% CI -2.79 to -0.19) through both labour-force status/occupational skill level and income, corresponding to a percentage mediated of 41%. Among the employed, education had a much smaller effect on the MHI-5. Improving employment opportunities could reduce nearly half of the adverse effects of low education on the mental health of young people.

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X Demographics

The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 8 16%
Student > Bachelor 3 6%
Other 2 4%
Lecturer 2 4%
Other 6 12%
Unknown 17 35%
Readers by discipline
Readers by discipline Count As %
Social Sciences 11 22%
Medicine and Dentistry 6 12%
Psychology 4 8%
Economics, Econometrics and Finance 3 6%
Nursing and Health Professions 1 2%
Other 5 10%
Unknown 19 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 27 September 2023.
All research outputs
#1,772,217
of 34,137,736 outputs
Outputs from International Journal of Epidemiology
#821
of 6,560 outputs
Outputs of similar age
#27,961
of 370,588 outputs
Outputs of similar age from International Journal of Epidemiology
#15
of 86 outputs
Altmetric has tracked 34,137,736 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. This one has done well, scoring higher than 87% 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 370,588 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 86 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.