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Cited by 331

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Stress, Social Support, and Burnout Among Long-Term Care Nursing Staff

Woodhead, Erin L., Northrop, Lynn, Edelstein, Barry·2016·Journal of Applied Gerontology

Abstract

Long-term care nursing staff are subject to considerable occupational stress and report high levels of burnout, yet little is known about how stress and social support are associated with burnout in this population. The present study utilized the job demands–resources model of burnout to examine relations between job demands (occupational and personal stress), job resources (sources and functions of social support), and burnout in a sample of nursing staff at a long-term care facility ( N = 250). Hierarchical linear regression analyses revealed that job demands (greater occupational stress) were associated with more emotional exhaustion, more depersonalization, and less personal accomplishment. Job resources (support from supervisors and friends or family members, reassurance of worth, opportunity for nurturing) were associated with less emotional exhaustion and higher levels of personal accomplishment. Interventions to reduce burnout that include a focus on stress and social support outside of work may be particularly beneficial for long-term care staff.

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Metadata

Authors
Woodhead, E. L., Northrop, L., & Edelstein, B.
Venue
Journal of Applied Gerontology
Published
2014-08-06
Volume
35
Issue
1
Pages
84-105
ISSN
  • 0733-4648 (ISSN-L)
  • 1552-4523
OpenAlex
W2134876988
Cited by
331
References
55
FWCI
13.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stress, Social Support, and Burnout Among Long-Term Care Nursing Staff. https://app.cochat.ai/papers/10.1177/0733464814542465
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Woodhead, E. L., Northrop, L., & Edelstein, B. (2016). Stress, Social Support, and Burnout Among Long-Term Care Nursing Staff. Journal of Applied Gerontology. https://doi.org/10.1177/0733464814542465

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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