Literature DB >> 14677214

The demand-control-support model and health among women and men in similar occupations.

Tuija Muhonen1, Eva Torkelson.   

Abstract

The aim of the study was to investigate the main and the interaction effects of the demand-control-support (DCS) model on women's and men's health in a Swedish telecom company. According to the DCS model, work that is characterized by high demands, low decision latitude, and low support decreases health and well-being. Furthermore, control and support are assumed to interact in protecting against adverse health effects of stress. Earlier studies have failed to consider occupational status and gender simultaneously. Questionnaire data from 134 female and 145 male employees in similar occupations were collected. Correlational analysis supported the main effect hypotheses irrespective of gender. Hierarchical multiple regression analyses indicated that only demands predicted women's health, whereas both demands and lack of social support predicted men's health. However, no interaction effects were found for either women or men. Further studies should probe the relevance of the model while considering gender and occupational status.

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Year:  2003        PMID: 14677214     DOI: 10.1023/a:1026257903871

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  7 in total

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  7 in total
  4 in total

1.  Gender moderates the health-effects of job strain in managers.

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2.  Emotional exhaustion and mental health problems among employees doing "people work": the impact of job demands, job resources and family-to-work conflict.

Authors:  Geertje van Daalen; Tineke M Willemsen; Karin Sanders; Marc J P M van Veldhoven
Journal:  Int Arch Occup Environ Health       Date:  2008-05-30       Impact factor: 3.015

Review 3.  Gender inequalities in occupational health related to the unequal distribution of working and employment conditions: a systematic review.

Authors:  Javier Campos-Serna; Elena Ronda-Pérez; Lucia Artazcoz; Bente E Moen; Fernando G Benavides
Journal:  Int J Equity Health       Date:  2013-08-05

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Journal:  BMC Public Health       Date:  2008-02-06       Impact factor: 3.295

  4 in total

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