Working Conditions and Mental Health of Nursing Staff in Nursing Homes
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2016/07/01
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Description:Nursing staff in nursing homes suffer from poor mental health, probably associated with stressful working conditions. Working conditions may distribute differently among nursing assistants, licensed practical nurses, and registered nurses due to their different levels in the organizational hierarchy. The objectives of this study were to evaluate the association between working conditions and mental health among different nursing groups, and examine the potential moderating effect of job group on this association. Self-administered questionnaires were collected with 1,129 nursing staff in 15 for-profit non-unionized nursing homes. Working conditions included both physical and psychosocial domains. Multivariate linear regression modeling found that mental health was associated with different working conditions in different nursing groups: physical safety (β = 2.37, p < 0.05) and work-family conflict (β = -2.44, p < 0.01) in NAs; work-family conflict (β = -4.17, p < 0.01) in LPNs; and physical demands (β = 10.54, p < 0.05) in RNs. Job group did not moderate the association between working conditions and mental health. Future workplace interventions to improve mental health should reach to nursing staff at different levels and consider tailored working condition interventions in different nursing groups. [Description provided by NIOSH]
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ISSN:0161-2840
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Pages in Document:485-492
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Volume:37
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Issue:7
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NIOSHTIC Number:nn:20053688
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Citation:Issues Ment Health Nurs 2016 Jul; 37(7):485-492
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Contact Point Address:Yuan Zhang, School of Nursing, 113 Wilder Street, University of Massachusetts Lowell, Lowell, MA 01854, USA
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Email:Yuan_Zhang@uml.edu
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Federal Fiscal Year:2016
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Performing Organization:University of Massachusetts, Lowell
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Peer Reviewed:True
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Start Date:20060701
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Source Full Name:Issues in Mental Health Nursing
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End Date:20210831
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Main Document Checksum:urn:sha-512:ba5ea30e5acc9058101e0b3e79f2457a53f7ba0769adc006d1c814b9e993ad5ec1331756032c842afa203a69274e948f9b0c299aedb4840e76025754565634d4
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