Associations between change in labour market policies and work stressors: a comparative longitudinal survey data analysis from 27 European countries.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
10 Sep 2020
Historique:
received: 13 03 2020
accepted: 09 08 2020
entrez: 11 9 2020
pubmed: 12 9 2020
medline: 15 5 2021
Statut: epublish

Résumé

Many studies have shown that work stressors have a negative impact on health. It is therefore important to gain an understanding of how work stressors can be reduced. Recent studies have shown that employees in countries with high investments into labour market policies less often report exposure to work stressors. Although these studies are indicative of an influence of the political level on work stressors, they are based on cross-sectional cross-country analyses where causal assumptions are problematic. The aim of this study is to extend the existing evidence by longitudinally testing whether changes in labour market policies are related to changes in work stressors. We used comparative longitudinal survey data from the European Working Conditions Survey (27 countries; for the years 2005, 2010, 2015). The measurement of work stressors is based on two established work stress models: effort-reward imbalance (ERI) and job demand-control (job strain). To measure labour market policies, we used information on active (ALMP) and passive labour market policies (PLMP). After excluding persons with missing data, 64,659 participants were eligible for the ERI and 67,114 for job strain analyses. Estimation results are provided by three-way multilevel models (individuals, country-years, country), which allow us to estimate longitudinal and cross-country macro-effects. An increase in ALMP leads to a decrease of ERI. The analyses for the subcomponents 'effort' and 'reward' showed that mainly the 'reward' component is positively associated with ALMP. The association between ALMP and 'reward' shows that an increase in ALMP investments is related to an increase in rewards. Yet, no significant longitudinal associations between ALMP and job strain, and between PLMP and the work stressors, were observed. The study extends the current knowledge with longitudinal information by showing that an increase in ALMP is associated with an increase in rewards and a decrease of ERI. These longitudinal analyses may support a causal interpretation. The findings of this study have important policy implications. Our main result suggests that investments into ALMP can lead to better working conditions.

Sections du résumé

BACKGROUND BACKGROUND
Many studies have shown that work stressors have a negative impact on health. It is therefore important to gain an understanding of how work stressors can be reduced. Recent studies have shown that employees in countries with high investments into labour market policies less often report exposure to work stressors. Although these studies are indicative of an influence of the political level on work stressors, they are based on cross-sectional cross-country analyses where causal assumptions are problematic. The aim of this study is to extend the existing evidence by longitudinally testing whether changes in labour market policies are related to changes in work stressors.
METHODS METHODS
We used comparative longitudinal survey data from the European Working Conditions Survey (27 countries; for the years 2005, 2010, 2015). The measurement of work stressors is based on two established work stress models: effort-reward imbalance (ERI) and job demand-control (job strain). To measure labour market policies, we used information on active (ALMP) and passive labour market policies (PLMP). After excluding persons with missing data, 64,659 participants were eligible for the ERI and 67,114 for job strain analyses. Estimation results are provided by three-way multilevel models (individuals, country-years, country), which allow us to estimate longitudinal and cross-country macro-effects.
RESULTS RESULTS
An increase in ALMP leads to a decrease of ERI. The analyses for the subcomponents 'effort' and 'reward' showed that mainly the 'reward' component is positively associated with ALMP. The association between ALMP and 'reward' shows that an increase in ALMP investments is related to an increase in rewards. Yet, no significant longitudinal associations between ALMP and job strain, and between PLMP and the work stressors, were observed.
CONCLUSIONS CONCLUSIONS
The study extends the current knowledge with longitudinal information by showing that an increase in ALMP is associated with an increase in rewards and a decrease of ERI. These longitudinal analyses may support a causal interpretation. The findings of this study have important policy implications. Our main result suggests that investments into ALMP can lead to better working conditions.

Identifiants

pubmed: 32912186
doi: 10.1186/s12889-020-09364-3
pii: 10.1186/s12889-020-09364-3
pmc: PMC7488105
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1377

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 392132829 "LU 2211/1-1"

Commentaires et corrections

Type : ErratumIn

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Auteurs

T Lunau (T)

Institute of Medical Sociology, Centre for Health and Society, Medical Faculty of the University of Düsseldorf, Düsseldorf, Germany. Thorsten.Lunau@uni-duesseldorf.de.

M Wahrendorf (M)

Institute of Medical Sociology, Centre for Health and Society, Medical Faculty of the University of Düsseldorf, Düsseldorf, Germany.

N Dragano (N)

Institute of Medical Sociology, Centre for Health and Society, Medical Faculty of the University of Düsseldorf, Düsseldorf, Germany.

J Siegrist (J)

Senior professorship on work stress research, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany.

K A van der Wel (KA)

Department of Social Work, Child Welfare and Social Policy, Oslo Metropolitan University, Oslo, Norway.

M Rigó (M)

Institute of Medical Sociology, Centre for Health and Society, Medical Faculty of the University of Düsseldorf, Düsseldorf, Germany.

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Classifications MeSH