12-Year longitudinal study linking within-person changes in work and family transitions and workplace injury risk |
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| Institution: | 1. School of Labor and Employment Relations, University of Illinois at Urbana-Champaign, 504 E. Armory Ave, 247E LER Building, Champaign, IL 61820, United States;2. Department of Psychology, North Carolina State University, 640 Poe Hall, 2310 Katharine Stinson Dr., Raleigh, NC 27695-7650, United States;3. Department of Management and International Business, College of Business, Florida International University, Modesto A. Maidique Campus, 11200 S.W. 8th St, MANGO 472, Miami, FL 33199, United States;1. Spectrum Health/Michigan State University General Surgery Residency, Grand Rapids, MI, United States;2. Spectrum Health/Michigan State University Plastic Surgery Residency, Grand Rapids, MI, United States;3. Department of Surgery, Michigan State University, Grand Rapids, MI, United States;4. Trauma Research Institute, Division of Acute Care Surgery, Spectrum Health Hospital, Michigan State University College of Human Medicine, Grand Rapids, MI, United States;5. Division of Surgical Oncology, Spectrum Health Hospital, Michigan State University College of Human Medicine, Grand Rapids, MI, United States;6. Division of Acute Care Surgery, Spectrum Health Hospital, Michigan State University College of Human Medicine, Grand Rapids, MI, United States;7. Trauma Research Institute, Division of Acute Care Surgery, Spectrum Health Hospital, Grand Rapids, MI, United States;1. The Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, United States;2. Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, United States;3. Graduate Center for Gerontology, College of Public Health, University of Kentucky, Lexington, KY, United States;4. Department of Civil Engineering, College of Engineering, University of Kentucky, Lexington, KY, United States;5. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States;1. Department of Management, Kochi University of Technology, 185 Miyanokuchi, Kami City, Kochi Prefecture, Japan;2. Research Organization for Regional Alliance, Kochi University of Technology, 185 Miyanokuchi, Kami City, Kochi Prefecture, Japan;3. Honda Motor Co., Ltd., 1-10-1 Shin Sayama, Sayama City, Saitama Prefecture, Japan;4. Nissho Electronics Corporation, 3-5, Nibancho, Chiyoda-ku, Tokyo, Japan;1. Ontario Ministry of Transportation, Safety Program Development Branch, Research and Evaluation Office, Toronto, Canada;2. The University of New South Wales, School of Population Health, Sydney, Australia;3. The George Institute for Global Health, Sydney, Australia;4. Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada;1. Agricultural and Biological Engineering, University of Florida, 1741 Museum Road, PO Box 110570, Gainesville, FL 32611, USA;2. National Farm Medicine Center, Marshfield Clinic Research Institute 1000 N. Oak Ave., Marshfield, WI 54449, USA;3. Department of Agricultural and Biological Engineering, Pennsylvania State University, University Park, PA 16802, USA;1. Civil and Environmental Engineering, California Polytechnic State University, United States;2. South Carolina Department of Transportation, Columbia, SC, United States;3. Wyoming Technology Transfer Center, Department of Civil & Architectural Engineering, University of Wyoming, 1000 E. University Avenue, Dept. 3295 Laramie, WY 82071, United States |
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| Abstract: | Introduction: Despite the rich tradition of research on predictors of workplace injury, most studies rely on cross-sectional, between-person designs. Furthermore, prior research has often overlooked the possibility that factors outside the work domain can influence the occurrence of actual injuries at work. To address these limitations, the current study examined the effects of work and family demands on the occurrence of workplace injury. Drawing on the intuition of the work-home resources model (W-HR), we investigated how within-person level changes in demands and resources from both domains influence work injuries over a 12-year period. Method: We used 12 years of longitudinal data (N = 7,820) to study the long-term within-person changes in work and family domains and to capture the event of low frequency incidence such as workplace injury. Specifically, we conducted multilevel analyses to study the links between within-person change in time and energy resources both in work and family domains and within-person change in the likelihood of experiencing a workplace injury. Results and conclusion: The findings showed that within-person changes in work hours, spousal work hours, income and number of children, were significantly associated with changes in the likelihood of experiencing a workplace injury. We conclude with a discussion of implications for theory and future research of workplace injuries. Practical application: The research provided useful insights on the intimate association between work and family domains in the context of safety management. |
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| Keywords: | Income Irregular shift National Longitudinal Survey of Youth Occupational injury Work family demands |
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