ArticleJournal of cachexia, sarcopenia and muscle2023
Predicted lean body mass trajectories, and cancer risk and cancer-specific and all-cause mortality: A prospective cohort study.
Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Dual-trajectories of Systolic Blood Pressure and Modified Life's Essential 8 With Gastrointestinal Cancer and All-Cause Mortality: A Prospective Cohort Study.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Trajectory Modelling of Prognostic Biomarkers Linked to Liver Cancer Risk: A Systematic Review.Liver cancer · 2026Article
- Association of estimated muscle mass and its changes with all-cause mortality: a Chinese population-based cohort study.BMC geriatrics · 2026Article
- Biomarkers of aging: from molecules and surrogates to physiology and function.Physiological reviews · 2025Review
- The association of life's essential 8 scores trajectory patterns with the risk of all cancer types.Scientific reports · 2025Article
- Cardiovascular health score and its association with postoperative delirium: evidence from the Kailuan study.Frontiers in medicine · 2025Article
- Significance of the geriatric nutritional risk index and body composition as prognostic indicators in gastric cancer patients.Frontiers in oncology · 2025Article
- Predicted lean body mass trajectories, and cancer risk and cancer-specific and all-cause mortality: A prospective cohort study.Journal of cachexia, sarcopenia and muscle · 2023Article
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17 authors.
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Abstract
backgroundAlthough many studies have investigated the association between body composition, cancer risk and mortality, predicting these risks through a single body composition measurement undoubtedly increases the limitations of the study. Few studies have explored the association between the trajectory of changes in body composition and the risk of cancer and death. We aimed to explore the association of predicted lean mass trajectories with cancer risk, cancer-specific mortality and all-cause mortality.
methodsThe participants in this study were all from the Kailuan cohort, a prospective, periodic, resurvey cohort study initiated in 2006. Latent mixture modelling was used to identify predicted lean mass trajectories for 2006-2010. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of the Cox proportional hazard models were used to describe the association between predicted lean mass trajectories and cancer risk and cancer-specific and all-cause mortality during follow-up (2010-2021).
resultsA total of 44 374 participants (average age, 53.01 ± 11.41 years, 78.99% men and 21.01% women) were enrolled in this study. Five distinct trajectories were identified: low-stable (n = 12 060), low-increasing (n = 8027), moderately stable-decreasing (n = 4725), moderately stable-increasing (n = 8053) and high-stable (n = 11 509). During the 11-year follow-up period, 2183 cancer events were recorded. After adjusting for age, predicted fat mass in 2010, sex, BMI, sedentary, physical activity, smoke, alcohol use, salt consumption, high-fat diet, high-sensitivity C-reactive protein, serum creatinine, family history of tumour, hypertension, diabetes mellitus, compared with the low-stable group, participants in the low-increasing group (HR = 0.851, 95% CI, 0.748-0.969), moderately stable-increasing group (HR = 0.803, 95% CI, 0.697-0.925) and high-stable group (HR = 0.770, 95% CI, 0.659-0.901) had a lower cancer risk, but not in the moderately stable-decreasing group (HR = 0.864, 95% CI, 0.735-1.015). Compared with the low-stable group, the risk of cancer-specific mortality was reduced by 25.4% (8.8-38.9%), 36.5% (20.3-49.4%) and 35.4% (17.9-49.2%), and the risk of all-cause mortality was reduced by 24.2% (16.9-30.8%), 37.0% (30.0-43.2%) and 47.4% (41.0-53.1%) in the low-increasing, moderately stable-increasing group and high-stable groups, respectively.
conclusionsPredicted lean mass trajectories may be closely associated with cancer risk and cancer-specific and all-cause mortality. Regular monitoring of body composition is necessary.
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