{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:49:44Z","timestamp":1782989384276,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>Work-related musculoskeletal disorders (WMSDs) remain a critical occupational health challenge, particularly in high-force and repetitive professions such as Thai traditional massage. While conventional ergonomic assessments rely primarily on self-report and observational tools, there is a growing need for data-driven occupational health informatics approaches to enable real-time risk monitoring and preventive decision support. This study aimed (1) to determine the prevalence and predictors of WMSDs among Thai traditional massage practitioners and (2) to develop a data-driven occupational health informatics framework integrating ergonomic risk profiling with digital monitoring strategies. A cross-sectional study was conducted among 396 certified practitioners working in 204 public health facilities in northeastern Thailand. Standardized instruments included the Perceived Stress Scale (PSS-10), the Modified Nordic Musculoskeletal Questionnaire, and the Body Discomfort Scale. Binary logistic regression was applied to identify significant predictors of WMSDs. The 7-day and 12-month prevalence of WMSDs were 75.0% and 81.31%, respectively. Significant predictors included years of massage experience (OR=4.29), low-level force exertion (\u223c50 pounds) (OR=4.04), neck extension or trunk hyperextension (OR=15.27), repetitive head movements (OR=5.28), lifting\/transferring clients (OR=3.09), use of assistive devices, and adverse environmental conditions (p&lt;0.05). Based on these findings, we propose a digital occupational health informatics framework integrating ergonomic risk stratification with wearable-based posture analytics and real-time feedback mechanisms. The framework supports the development of an assistive massage device incorporating force redistribution and posture-monitoring capabilities. Such data-driven innovations may enhance injury prevention, enable continuous ergonomic surveillance, and improve long-term occupational health sustainability in physically demanding healthcare professions.<\/jats:p>","DOI":"10.3233\/shti260848","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:00:52Z","timestamp":1782986452000},"source":"Crossref","is-referenced-by-count":0,"title":["Ergonomic Risk Assessment and Work-Related Factors Associated with Musculoskeletal Disorders Among Thai Traditional Massage Practitioners"],"prefix":"10.3233","author":[{"given":"Napaporn","family":"Houngsuksakul","sequence":"first","affiliation":[{"name":"Faculty of Public Health, Mahasarakham University, Maha Sarakham, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8533-5891","authenticated-orcid":false,"given":"Kukiat","family":"Tudpor","sequence":"additional","affiliation":[{"name":"Faculty of Public Health, Mahasarakham University, Maha Sarakham, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2194-6044","authenticated-orcid":false,"given":"Chalermsiri","family":"Theppitak","sequence":"additional","affiliation":[{"name":"Institute of Public Health, Suranaree University of Technology, Nakhon Ratchasima, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5547-8544","authenticated-orcid":false,"given":"Wisit","family":"Thongkum","sequence":"additional","affiliation":[{"name":"Faculty of Public Health, Mahasarakham University, Maha Sarakham, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:00:53Z","timestamp":1782986453000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260848"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260848","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}