{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T19:27:09Z","timestamp":1786562829855,"version":"build-2736575974"},"reference-count":34,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T00:00:00Z","timestamp":1772668800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T00:00:00Z","timestamp":1772668800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl Journal of Cancer"],"published-print":{"date-parts":[[2026,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Given that body mass index (BMI) fails to distinguish between fat and muscle, and that the relationship between body composition and colorectal cancer (CRC) risk in the Chinese population is insufficiently understood, we prospectively examined the associations between predicted body compositions and CRC risk in a large cohort. Cox proportional hazards regression models were used to evaluate hazard ratios (HRs) and 95% confidence intervals (CIs) for the relationships between predicted body compositions and CRC risk. Over a mean follow\u2010up period of 14.88\u2009years, we observed 825 incident cases of CRC. To address potential reverse causation, we additionally fitted lagged Cox models with delayed entry at 2 and 4\u2009years after baseline. In multivariable\u2010adjusted models, individuals in the fourth and fifth quintiles of predicted fat mass exhibited HRs of 1.31 (95% CI 1.04\u20131.64) and 1.38 (95% CI 1.10\u20131.73), respectively, compared with those in the first quintile. Predicted body fat percentage and BMI showed similar positive associations with CRC risk, whereas predicted lean body mass was not significantly associated; these associations were broadly similar in the 4\u2010year lag analysis. Restricted cubic spline models revealed positive dose\u2013response associations between these predicted fat mass, body fat percentage, and BMI, and CRC risk, with evidence of non\u2010linearity for predicted fat mass. Elevated levels of predicted fat mass, predicted body fat percentage, and BMI were associated with an increased risk of CRC in this Chinese cohort.<\/jats:p>","DOI":"10.1002\/ijc.70404","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T11:12:51Z","timestamp":1772968371000},"page":"609-617","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Association of predicted body compositions with the risk of colorectal cancer in the Chinese population: A 15\u2010year prospective cohort"],"prefix":"10.1002","volume":"159","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1492-5532","authenticated-orcid":false,"given":"Junying","family":"Hao","sequence":"first","affiliation":[{"name":"Department of General Surgery North China University of Science and Technology Affiliated Kailuan General Hospital  Tangshan China"},{"name":"Department of Graduate School North China University of Science and 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