{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T05:59:26Z","timestamp":1781243966823,"version":"3.54.1"},"reference-count":61,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:00Z","timestamp":1781222400000},"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. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Clinical nurses in tertiary hospitals face high emotional labor, which can deplete emotional resources and lead to occupational burnout. Emotional intelligence is a crucial psychological resource for coping with such stress. This cross-sectional study aimed to use latent profile analysis to identify emotional intelligence profiles among clinical nurses and examine factors associated with profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted between December 2025 and January 2026. A convenience sample of 765 clinical nurses from two tertiary Grade A hospitals in China was recruited. Data were collected using a demographic and work-related characteristics questionnaire and the Wong and Law Emotional Intelligence Scale. Latent profile analysis was used to identify distinct emotional intelligence subgroups, and multinomial logistic regression was performed to examine factors associated with profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three distinct latent profiles of emotional intelligence were identified among the clinical nurses: \u201cDysregulated Low emotional intelligence\u201d (41.7%), \u201cModerate-Balanced emotional intelligence\u201d (50.8%), and \u201cHigh-Balanced emotional intelligence\u201d (7.5%). The majority of nurses exhibited an overall moderate level of emotional intelligence. Multinomial logistic regression revealed that parental overprotection or control, personality type, involvement in department management, and job satisfaction were significant factors associated with latent profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The findings highlight the significant heterogeneity of emotional intelligence within the nursing workforce. Nursing managers may adopt differentiated management strategies and develop targeted training programs tailored to specific subgroup characteristics. Targeted support for emotional intelligence may contribute to nurses' mental wellbeing and the quality of nursing care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1851059","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T05:45:07Z","timestamp":1781243107000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Latent profiles of emotional intelligence and associated factors among clinical nurses: a cross-sectional study"],"prefix":"10.3389","volume":"14","author":[{"given":"La","family":"Pan","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University","place":["Wuxi, Jiangsu, China"]},{"name":"Wuxi School of Medicine, Jiangnan University","place":["Wuxi, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofang","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University","place":["Wuxi, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haowen","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University","place":["Wuxi, Jiangsu, China"]},{"name":"Wuxi School of Medicine, Jiangnan University","place":["Wuxi, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University","place":["Wuxi, Jiangsu, China"]},{"name":"Wuxi School of Medicine, Jiangnan University","place":["Wuxi, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University","place":["Wuxi, Jiangsu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,12]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e70037","DOI":"10.1002\/nop2.70037","article-title":"The influencing factors of nurses' job engagement in tertiary, A grade hospitals in East China: a cross-sectional study","volume":"11","author":"Li","year":"2024","journal-title":"Nurs Open."},{"key":"B2","doi-asserted-by":"publisher","first-page":"11631","DOI":"10.1038\/s41598-024-62118-8","article-title":"Healthcare preferences of chronic disease patients under China's hierarchical medical system: an empirical study of Tianjin's reform practice","volume":"14","author":"Luo","year":"2024","journal-title":"Sci Rep."},{"key":"B3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.ijnurstu.2017.07.002","article-title":"How does emotional exhaustion influence work stress? 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