{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:57:02Z","timestamp":1774979822389,"version":"3.50.1"},"reference-count":27,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"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>Occupational contact dermatitis (OCD) is a prevalent work-related skin condition among nurses and remains a significant occupational health issue due to its impact on well-being, productivity, and workforce sustainability. However, reliable tools for early risk stratification in this population are lacking. This study aimed to develop and validate a nomogram-based prediction model to estimate the individual risk of OCD among nurses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A multicenter cross-sectional survey was conducted among 2,852 nurses from 40 hospitals across China. Participants were randomly assigned to a training cohort (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f2,000) and a validation cohort (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f852). Independent predictors were identified using univariate and multivariable logistic regression analyses. A nomogram was constructed based on the final multivariable model. Model performance was assessed using the area under the ROC curve (AUC), bootstrapped calibration plots, and decision curve analysis (DCA).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Nine predictors were independently associated with OCD: age, dermatitis history, glove type, glove-wearing hours, handwashing frequency during work, hospital level, hand-cream habit, baseline skin condition, and sleep duration. The model showed excellent discrimination (AUC\u202f=\u202f0.925 in the training set; 0.931 in the validation set). Calibration curves demonstrated close agreement between predicted and observed risks. DCA indicated consistently higher net benefit compared with the \u201ctreat-all\u201d and \u201ctreat-none\u201d strategies across wide threshold probability ranges (0.01\u20130.98 in the training set; 0.02\u20130.96 in the validation set). The resulting nomogram provides an intuitive, point-based tool for individualized OCD risk prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A robust, well-validated prediction model and nomogram were developed to estimate OCD risk among nurses. This tool may support occupational health screening, early risk identification, and targeted preventive strategies in healthcare institutions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1748717","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T17:04:23Z","timestamp":1774976663000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Occupational skin health risk among nurses: development and validation of a nomogram-based prediction model"],"prefix":"10.3389","volume":"14","author":[{"given":"Yi","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Thoracic Surgery, Nanxishan Hospital of Guangxi Zhuang Autonomous Region (The Second People\u2019s Hospital of Guangxi Zhuang Autonomous Region)","place":["Guilin, Guangxi, China"]},{"name":"Department of Community Health, Cancer Research and Specialist Centre, School of Medical Sciences, Universiti Sains Malaysia (USM)","place":["George Town, Penang, Malaysia"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Community Health, Cancer Research and Specialist Centre, School of Medical Sciences, Universiti Sains Malaysia (USM)","place":["George Town, Penang, Malaysia"]},{"name":"Day Chemotherapy Center, The First Affiliated Hospital of Guangxi Medical University","place":["Nanning, Guangxi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixiang","family":"Feng","sequence":"additional","affiliation":[{"name":"Guangxi Agricultural Engineering Vocational Technical College","place":["Chongzuo, Guangxi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingying","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, The First Affiliated Hospital of Guangxi Medical University","place":["Nanning, Guangxi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyan","family":"Chen","sequence":"additional","affiliation":[{"name":"Day Chemotherapy Center, The First Affiliated Hospital of Guangxi Medical University","place":["Nanning, Guangxi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongsheng","family":"Xiong","sequence":"additional","affiliation":[{"name":"Department of Thoracic Surgery, Nanxishan Hospital of Guangxi Zhuang Autonomous Region (The Second People\u2019s Hospital of Guangxi Zhuang Autonomous Region)","place":["Guilin, Guangxi, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"e10975","DOI":"10.7759\/cureus.10975","article-title":"Occupational-related contact dermatitis: prevalence and risk factors among healthcare workers in the Al\u2019Qassim region, Saudi Arabia during the 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