{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T14:43:05Z","timestamp":1767796985528,"version":"3.49.0"},"reference-count":30,"publisher":"BMJ","issue":"12","license":[{"start":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T00:00:00Z","timestamp":1766361600000},"content-version":"unspecified","delay-in-days":21,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/W023857\/1"],"award-info":[{"award-number":["MR\/W023857\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022974","name":"Global Alliance for Chronic Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100022974","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2025,11,24]]},"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to assess the prevalence of cancer risk factors in China\u2019s working population and provide evidence for formulating more targeted workplace cancer prevention strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A cross-sectional study utilising the baseline data from the Comprehensive Workplace Intervention for Cancer Prevention in China (WECAN) project, a stepped-wedge cluster randomised controlled trial.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>15 workplaces from three cities in China: Wuhai (Northern China), Nanchong (Western China) and Xiangtan (Southern China).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>A total of 841 participants (56 employees per workplace) were recruited through stratified sampling based on sex and work type.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Primary outcome measures<\/jats:title>\n                    <jats:p>The prevalence of self-reported cancer risk factors, including smoking, alcohol consumption, physical inactivity, obesity, unhealthy diet, betel quid chewing, exposure to harmful gases or substances, biological screening and vaccination.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The study included 841 participants (mean age 40.5\u00b18.9 years; 61.4% male, 57.4% blue-collar workers, 47.3% aged &lt;40 years), with 36.4% reporting family cancer history. The reported cancer risks included smoking (36.9%, male\u2013female OR=40.4 (95% CI 21.6 to 75.7)), alcohol consumption (63.6%, male\u2013female OR=4.3 (95% CI 3.0 to 6.0)), physical inactivity (49.1%), central obesity (36.7%, male\u2013female OR=3.2 (95% CI 2.3 to 4.5)), unhealthy diet (95.8% with two or more of six unhealthy dietary habits), betel quid chewing (18.8%, male\u2013female OR=3.3 (95% CI 1.9 to 5.9), with 97.5% in Xiangtan), preference for hot foods (5.0%, older\u2013younger OR=2.5 (95% CI 1.1 to 5.6)), household air pollution (7.0%, higher risk among lower-educated individuals), unprotected occupational exposure (6.1%, male\u2013female OR=2.8 (95% CI 1.3 to 6.0), blue-white collar OR=2.1 (95% CI 1.0 to 4.5)), no screening for hepatitis B surface antigen (46.4%) and helicobacter pylori (54.9%), and unvaccinated against hepatitis B virus (28.1%) and human papillomavirus (63.5% among females\u226445 years). Regional heterogeneity was observed for nearly all risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The working population faces significant cancer risk factors, with variations across populations and regions highlighting the need for targeted interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration number<\/jats:title>\n                    <jats:p>ChiCTR2200058680.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2025-107063","type":"journal-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:10:14Z","timestamp":1766448614000},"page":"e107063","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Risk factors for cancer among the working population in China: a cross-sectional analysis of baseline data from the WECAN project"],"prefix":"10.1136","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9877-9766","authenticated-orcid":false,"given":"Kaige","family":"Sun","sequence":"first","affiliation":[{"name":"Beijing Physical Examination Center, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baohua","family":"Wang","sequence":"additional","affiliation":[{"name":"National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng J","family":"He","sequence":"additional","affiliation":[{"name":"Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, 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