{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T10:04:06Z","timestamp":1789985046204,"version":"4.0.1"},"reference-count":62,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify the joint latent profiles of workplace violence and burnout among healthcare workers using a person-centered approach, and to examine the psychosocial and demographic factors associated with profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>A cross-sectional survey was conducted among 616 healthcare workers recruited from six hospitals in Sichuan Province, China, between April and May 2026. Workplace violence, burnout, work-family conflict, and emotional labor were assessed using validated self-report questionnaires.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A two-class model provided the optimal solution. Class 1, the \u201crelatively adaptive profile\u201d, was characterized by low levels of workplace violence and burnout across all dimensions. Class 2, the \u201chigh-risk profile\u201d, exhibited significantly elevated workplace violence and burnout, accompanied by a prominent level of work-family conflict; more than half of the participants belonged to this profile. In the multivariable model, work-family conflict was the strongest independent predictor of high-risk profile membership. Although gender, hospital role, educational level, and monthly income differed significantly between profiles in univariate analyses, none remained significant after adjustment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These findings suggest that occupational mental health interventions should prioritize workplace violence prevention, the promotion of work\u2013family balance, and that such psychosocial intervention pathways may have applicability across demographic subgroups.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyt.2026.1922345","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T09:45:46Z","timestamp":1789983946000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint latent profiles of workplace violence and burnout among healthcare 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