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How do types of employment relate to health indicators? Findings from the Second European Survey on Working Conditions

Overview of attention for article published in Journal of Epidemiology and Community Health (1978), July 2000
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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6 policy sources
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7 X users

Readers on

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368 Mendeley
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1 CiteULike
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Article details
Title
How do types of employment relate to health indicators? Findings from the Second European Survey on Working Conditions
Published in
Journal of Epidemiology and Community Health (1978), July 2000
DOI 10.1136/jech.54.7.494
Pubmed ID
Authors
Abstract

To investigate the associations of various types of employment with six self reported health indicators, taking into account the part played by demographic variables, individual working conditions and four ecological indicators at the country level. Cross sectional survey (structured interview) of a sample of the active population of 15 European countries aged 15 years or over. Main independent variables were nine types of employment categorised as follows: small employers, full and part time permanent employees, full and part time fixed term employees, full and part time sole traders and full and part time temporary contracts. Main outcome measures were three self reported health related outcomes (job satisfaction, health related absenteeism, and stress) and three self reported health problems (overall fatigue, backache, and muscular pains). Logistic regression and multilevel models were used in the analyses. 15 countries of the European Union. 15 146 employed persons aged 15 or over. Precarious employment was consistently and positively associated with job dissatisfaction but negatively associated with absenteeism and stress (as compared with full time permanent workers). Fatigue, backache and muscular pains also tended to be positively associated with precarious employment, particularly with full time precarious employment. Small employers reported high percentages of stress and fatigue, but absenteeism was relatively low. Sole traders generally reported high percentages of all outcomes, except for absenteeism, which was low. For each type of employment (except temporary contracts), full time workers tended to report worse health outcomes than part time workers. Patterns were generally consistent across countries. Associations persisted after adjustment for individual level working conditions and were not modified by country level variables. This study is the first to examine the relations between various types of employment and six health related indicators for all 15 member states of the European Union. Suggestive patterns worthy of further exploration have been found. Standardised definitions of types of underemployment and health related outcomes, more potent epidemiological designs and the inclusion of socioeconomic information (for example, social security systems, incapacity benefit schemes) at the regional level are proposed for inclusion in further research.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 368 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 %
Spain 7 2%
United Kingdom 4 1%
Sweden 2 <1%
Germany 2 <1%
Thailand 1 <1%
Italy 1 <1%
France 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 348 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 62 17%
Student > Master 55 15%
Researcher 51 14%
Student > Doctoral Student 29 8%
Student > Bachelor 26 7%
Other 77 21%
Unknown 68 18%
Readers by discipline
Readers by discipline Count As %
Social Sciences 72 20%
Medicine and Dentistry 53 14%
Psychology 50 14%
Business, Management and Accounting 33 9%
Economics, Econometrics and Finance 21 6%
Other 45 12%
Unknown 94 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 01 November 2022.
All research outputs
#2,139,220
of 34,410,798 outputs
Outputs from Journal of Epidemiology and Community Health (1978)
#842
of 5,082 outputs
Outputs of similar age
#1,826
of 57,531 outputs
Outputs of similar age from Journal of Epidemiology and Community Health (1978)
#5
of 28 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,082 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 83% 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 57,531 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 96% of its contemporaries.
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 done well, scoring higher than 82% of its contemporaries.