Work,family and life-course fit: Does control over work time matter? |
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| Institution: | 1. Department of Occupation and Health, Faculty of Health and Social Studies, HAN University of Applied sciences, Nijmegen, The Netherlands;2. Department of Social Medicine, Research Institute Primary Care and Public Health (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands;3. Department of Ageing, Work and Health, Faculty of Health Sciences, Cumberland Campus, The University of Sydney, Sydney, Australia;4. Department of Work and Social Psychology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands;1. National Research Centre for the Working Environment, Copenhagen, Denmark;2. Department of Public Health, University of Copenhagen, Copenhagen, Denmark;3. Department of Psychology, University of Copenhagen, Copenhagen, Denmark;4. Inail, Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Monte Porzio Catone (Rome), Italy;5. National Pension Research Institute, Jeonju-si, Republic of Korea;6. National Cancer Center, Tokyo, Japan;7. Department of Psychiatry, Universidad Autonoma de Madrid, Madrid, Spain;8. Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain;9. Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Madrid, Spain;10. Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-49000 Angers, France;11. AP-HP (Paris Hospital), Occupational Health Unit, Poincaré University Hospital, Garches, France;12. Inserm Versailles St-Quentin Univ – Paris Saclay Univ (UVSQ), UMS 011, UMR-S 1168, Villejuif, France;13. Institute of Medical Sociology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany;14. Division of Preventive Medicine, Department of Medicine, University of Alberta, Edmonton, Canada;15. Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan;p. Department of Public Health, Kitasato University School of Medicine, Sagamihara, Knagawa, Japan;q. School of Public Health, Fudan University, Shanghai, People’s Republic of China;r. Centre for Environment and Health, KU Leuven, Leuven, Belgium;s. KIR Department (Knowledge, Information & Research), IDEWE, External Service for Prevention and Protection at Work, Leuven, Belgium;t. Department of Preventive Medicine, College of Medicine, Keimyung University, Daegu, Republic of Korea;u. Department of Environmental Health Sciences, Fielding School of Public Health, School of Nursing, University of California, Los Angeles, United States;v. Hospital Sírio-Libanês, Sao Paulo, Brazil;w. Department of Occupational Medicine Epidemiology and Prevention, Zucker School of Medicine at Hofstra University, Feinstein Institutes for Medical Research, Northwell Health, New York, United States;x. Department of Environmental Occupational and Geospatial Sciences, CUNY Institute for Implementation Science in Public Health, CUNY Graduate School of Public Health and Health Policy, New York, United States;y. Life Science Centre, University of Düsseldorf, Düsseldorf, Germany;z. School of Health Innovation, Kanagawa University of Human Services, Japan;11. Labour Administration, Labour Inspection and Occupational Safety and Health Branch, International Labour Organization, Geneva, Switzerland;12. Institute of Mental Health Research, University of Ottawa, Canada;13. University of South Australia, Adelaide, Australia;14. Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland;1. Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario, M5T 3M7, Canada;2. Department of Social Science, Health & Medicine, Institute of Gerontology, King’s College London, 2.6 East Wing, Strand Campus, London, WC2R 2LS, UK;3. ESRC International Centre for Life Course Studies in Society & Health, Department of Epidemiology & Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK;1. Institute of the History, Philosophy and Ethics of Medicine, Ulm University, Parkstrasse 11, 89073 Ulm, Germany;2. Institute of Social Medicine and Health Economics, Otto-von-Guericke-University of Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany |
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| Abstract: | This study moves from “work-family” to a multi-dimensional “life-course fit” construct (employees’ cognitive assessments of resources, resource deficits, and resource demands), using a combined work-family, demands-control and ecology of the life course framing. It examined (1) impacts of job and home ecological systems on fit dimensions, and (2) whether control over work time predicted and mediated life-course fit outcomes. Using cluster analysis of survey data on a sample of 917 white-collar employees from Best Buy headquarters, we identified four job ecologies (corresponding to the job demands-job control model) and five home ecologies (theorizing an analogous home demands-home control model). Job and home ecologies predicted fit dimensions in an additive, not interactive, fashion. Employees’ work-time control predicted every life-course fit dimension and partially mediated effects of job ecologies, organizational tenure, and job category. |
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