Literature DB >> 17190719

Extending a model of shift-work tolerance.

Anne Pisarski1, Christine Brook, Philip Bohle, Cynthia Gallois, Bernadette Watson, Sarah Winch.   

Abstract

The present study contributes to theory and practice through the development of a model of shift-work tolerance with the potential to indicate interventions that reduce nurses' intention toward turnover and increase job satisfaction in hospital-based settings. Survey data from 1257 nurses were used to conduct structural equation modeling that examine the direct and indirect effects of supervisor and colleague support, team identity, team climate, and control over working environment on time-based work/life conflict, psychological well-being, physical symptoms, job satisfaction, and turnover intention. The analysis of the proposed model revealed a good fit The chi-square difference test was non-significant (chi2(26) = 338.56), the fit indices were high (CFI = .923, NFI = .918, and NNFI = .868), the distribution of residuals was symmetric and approached zero, the average standardized residual was low (AASR = .04), and the standardized RMR was .072. In terms of the predictor variable, the final model explained 48% of the variance in turnover intention. The data revealed considerable evidence of both direct effects on adjustment and complex indirect links between levels of adjustment and work-related social support, team identity, team climate, and control. Nurses with high supervisor and coworker support experienced more positive team climates, identified more strongly with their team, and increased their perceptions of control over their work environment. This in turn lowered their appraisals of their time-based work/life conflict, which consequently increased their psychological well-being and job satisfaction and reduced their physical health symptoms and turnover intention. The type of shift schedule worked by the nurses influenced levels of turnover intention, control over work environment, time-based work/life conflict, and physical symptoms.

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Year:  2006        PMID: 17190719     DOI: 10.1080/07420520601055316

Source DB:  PubMed          Journal:  Chronobiol Int        ISSN: 0742-0528            Impact factor:   2.877


  7 in total

1.  Assessment of chronotype in four- to eleven-year-old children: reliability and validity of the Children's Chronotype Questionnaire (CCTQ).

Authors:  Helene Werner; Monique K Lebourgeois; Anja Geiger; Oskar G Jenni
Journal:  Chronobiol Int       Date:  2009-07       Impact factor: 2.877

2.  Towards a more comprehensive definition of shift work tolerance.

Authors:  Ingvild Saksvik-Lehouillier; Stale Pallesen; Bjorn Bjorvatn; Nils Magerøy; Simon Folkard
Journal:  Ind Health       Date:  2014-10-17       Impact factor: 2.179

3.  A pilot study examining if satisfaction of basic needs can ameliorate negative effects of shift work.

Authors:  Ingvild Saksvik-Lehouillier; Hilde Hetland
Journal:  Ind Health       Date:  2015-09-30       Impact factor: 2.179

4.  Analyzing the Job Demands-Control-Support Model in Work-Life Balance: A Study among Nurses in the European Context.

Authors:  Virginia Navajas-Romero; Antonio Ariza-Montes; Felipe Hernández-Perlines
Journal:  Int J Environ Res Public Health       Date:  2020-04-21       Impact factor: 3.390

5.  Nonstandard working schedules and health: the systematic search for a comprehensive model.

Authors:  Suzanne L Merkus; Kari Anne Holte; Maaike A Huysmans; Willem van Mechelen; Allard J van der Beek
Journal:  BMC Public Health       Date:  2015-10-23       Impact factor: 3.295

Review 6.  Working Time Society consensus statements: Individual differences in shift work tolerance and recommendations for research and practice.

Authors:  Jennifer Ritonja; Kristan J Aronson; Raymond W Matthews; Diane B Boivin; Thomas Kantermann
Journal:  Ind Health       Date:  2019-01-31       Impact factor: 2.179

Review 7.  Working Time Society consensus statements: Evidence-based effects of shift work and non-standard working hours on workers, family and community.

Authors:  Anna Arlinghaus; Philip Bohle; Irena Iskra-Golec; Nicole Jansen; Sarah Jay; Lucia Rotenberg
Journal:  Ind Health       Date:  2019-01-31       Impact factor: 2.179

  7 in total

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