{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T04:03:53Z","timestamp":1780027433887,"version":"3.53.1"},"reference-count":79,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T00:00:00Z","timestamp":1775606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["sigmapubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Nursing Scholarship"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Healthcare workers (HCWs) are continuously exposed to stress and potentially traumatic experiences, as during the COVID\u201019 pandemic. This research aims to investigate the correlates and predictors of Post\u2010traumatic growth (PTG), a positive outcome following adversity, in a group of HCWs during the COVID\u201019 pandemic.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross\u2010sectional design.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The sample included 168 HCWs (almost 43% were nurses working in hospitals or aging facilities) who were assessed with the PTG Inventory (PTGI) and other indicators of psychological distress (DASS\u201021) and well\u2010being such as the Positive and Negative Affect Schedule (PANAS), the Mental Health Continuum Short\u2010Form (MHC\u2010SF), and the Satisfaction with Life Scale (SWLS). Regression analyses were calculated to evaluate the relationships among variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      PTG Inventory positively correlated with SWLS (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.256,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and MHC (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.315,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), but no correlations with anxiety and depression emerged. Female gender (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.248,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001), COVID\u201019 infection (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.222,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.003), and MHC Total score (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.294,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.008) predicted PTGI. Additionally, a significant curvilinear\n                      <jats:italic>U<\/jats:italic>\n                      \u2010shaped relationship existed between DASS\u2010stress and PTGI levels (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.541,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.021), meaning that PTG was lower at a medium level of stress.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>During the pandemic PTGI in HCWs was more directly predicted by well\u2010being indicators than distress. Prioritizing their well\u2010being, especially in times of crises, could aid in managing stress and trauma in healthcare settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jnu.70080","type":"journal-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T05:33:37Z","timestamp":1775712817000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["High Levels of Well\u2010Being and Being Infected With the COVID\u201019 Virus Predicted Post\u2010Traumatic Growth in Healthcare Workers"],"prefix":"10.1111","volume":"58","author":[{"given":"Chiara","family":"Angelone","sequence":"first","affiliation":[{"name":"Department of Psychology University of Bologna  Bologna Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giorgio Li","family":"Pira","sequence":"additional","affiliation":[{"name":"Department of Psychology University of Bologna  Bologna Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7805-3183","authenticated-orcid":false,"given":"Chiara","family":"Ruini","sequence":"additional","affiliation":[{"name":"Department of Life Quality Studies University of Bologna  Rimini 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