| Title |
The impact of low education and poor health on unemployment varies by work life stage
|
|---|---|
| Published in |
International Journal of Public Health, April 2017
|
| DOI | 10.1007/s00038-017-0972-7 |
| Pubmed ID | |
| Authors |
Sander K. R. van Zon, Sijmen A. Reijneveld, Carlos F. Mendes de Leon, Ute Bültmann |
| Abstract |
The aim of this study is to examine associations and interactions of education, and physical and mental health with unemployment in early, mid, and late work life. This cross-sectional study uses data from 69,118 respondents from Lifelines. Health status was measured with the RAND-36, education was self-reported, and participants working <12 h per week or indicating to be unemployed were considered unemployed. The relative excess risk due to interaction (RERI) was calculated to measure interaction on the additive scale. Interactions of low education and poor mental health were found in early [RERI: 2.14; 95% confidence interval (CI): 0.63, 3.65], mid (1.41; 0.61, 2.20) and late (0.63; 0.09, 1.17) work life. Interaction between low education and poor physical health was only found in mid-work life (1.27; 0.61, 1.93). Low education and poor physical and mental health exacerbate each other's impact on unemployment varying by work life stage. Policies addressing unemployment may become more effective if they better account for the physical and mental health status of adults in certain stages of their work life. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Unknown | 113 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 13% |
| Student > Ph. D. Student | 13 | 11% |
| Student > Master | 11 | 10% |
| Student > Postgraduate | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 13 | 11% |
| Unknown | 45 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 11% |
| Social Sciences | 13 | 11% |
| Nursing and Health Professions | 11 | 10% |
| Economics, Econometrics and Finance | 7 | 6% |
| Psychology | 5 | 4% |
| Other | 19 | 17% |
| Unknown | 46 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 09 December 2021.
All research outputs
#3,164,585
of 26,017,215 outputs
Outputs from International Journal of Public Health
#354
of 1,944 outputs
Outputs of similar age
#54,668
of 327,805 outputs
Outputs of similar age from International Journal of Public Health
#13
of 28 outputs
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.