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Analysis and prediction of the disease burden of early-onset colorectal cancer attributable to dietary risks in China from 1990 to 2021

Published on Sep. 02, 2026Total Views: 73 times Total Downloads: 18 times Download Mobile

Author: LIANG Yao 1, 2 ZHANG Xiaoyu 1, 2 CAO Chang 1, 2 HU Chenglong 1, 2 YANG Min 1, 2 LI Hui 1, 2

Affiliation: 1.The Second Department of Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China 2.The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China

Keywords: Early-onset colorectal cancer Dietary risks Disease burden Joinpoint regression model Autoregressive integrated moving average model

DOI: 10.12173/j.issn.1004-4337.202511023

  • Abstract
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Abstract

Objective To analyze the disease burden and future trends of early-onset colorectal cancer (EOCRC) attributable to dietary risks in China from 1990 to 2021.

Methods Based on Global Burden of Disease 2021 (GBD 2021) database, the mortality and disability-adjusted life years (DALYs) rates of EOCRC attributable to dietary risks in China, globally, and across different socio-demographic index (SDI) regions from 1990 to 2021 were obtained. The Joinpoint regression model was applied to calculate the annual percent change (APC), average annual percent change (AAPC), and 95% confidence interval (CI) between turning points in age-standardized mortality rate and age-standardized DALYs rate, while an autoregressive integrated moving average (ARIMA) model was used to predict the disease burden from 2022 to 2035.

Results From 1990 to 2021, the standardized mortality and standardized DALYs rate of EOCRC attributed to dietary risks in China both showed a downward trend. The standardized mortality decreased from 2.37/100 000 in 1990 [95% uncertainty interval (UI): 1.07/100 000, 3.53/100 000] to 1.62/100 000 in 2021 (95%UI: 0.52/100 000, 2.69/100 000), with an AAPC of -1.25 (95%CI: -1.29, -1.22); the standardized DALYs rate decreased from 117.78/100 000 in 1990 (95% UI: 53.48/100 000, 175.53/100 000) to 82.88/100 000 in 2021 (95%UI: 26.47/100 000, 136.59/100 000), with an AAPC of -1.16 (95%CI: -1.20, -1.12). Among different dietary risk factors, only the standardized mortality and standardized DALYs rate of EOCRC attributed to high processed meat diet showed an upward trend, with AAPCs of 1.29 (95%CI: 1.24, 1.33) and 1.38 (95%CI: 1.33, 1.43), respectively. It is predicted that by 2035, the standardized mortality and standardized DALYs rate of EOCRC attributed to dietary risks in China will increase to 1.81/100 000 [95% prediction interval (PI): 1.00/100 000, 2.61/100 000] and 92.12/100 000 (95% PI: 40.05/100 000, 144.19/100 000), respectively.

Conclusion From 1990 to 2021, the disease burden of EOCRC attributed to dietary risks in China showed a downward trend, but it remained higher than that of the global and different SDI regions. Moreover, the disease burden is projected to continue to rise in the future. Attention should be paid to dietary structure intervention and health education for the young population, to increase the coverage of early screening for EOCRC, and to reduce the disease burden.

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References

1. EngC, JácomeAA, AgarwalR, et al. A comprehensive framework for early-onset colorectal cancer research[J]. Lancet Oncol, 2022, 23(3): e116-e128. DOI: 10.1016/S1470-2045(21)00588-X.

2. BrayF, LaversanneM, SungH, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024, 74(3): 229-263. DOI: 10.3322/caac.21834.

3. ZhanZ, ChenB, LinW, et al. Rising burden of colon and rectum cancer in China: an analysis of trends, gender disparities, and projections to 2030[J]. Ann Surg Oncol, 2025, 32(5): 3361-3371. DOI: 10.1245/s10434-025-16905-w.

4. 陈琛, 孙彪彪. 1990-2021年中国和全球青少年及青年成人结直肠癌疾病负担和健康不平等分析[J]. 中华肿瘤防治杂志, 2025, 32(5): 284-291.ChenC, SunBB. Analysis of disease burden and health inequality of colorectal cancer among adolescents and young adults in China and globally from 1990 to 2021[J]. Chinese Journal of Cancer Prevention and Treatment, 2025, 32(5): 284-291. DOI: 10.16073/j.cnki.cjcpt.2025.05.04.

5. KasiPM, ShahjehanF, CochuytJJ, et al. Rising proportion of young individuals with rectal and colon cancer[J]. Clin Colorectal Cancer, 2019, 18(1): e87-e95. DOI: 10.1016/j.clcc.2018.10.002.

6. DinasPC, KaraventzaM, LiakouC, et al. Combined effects of physical activity and diet on cancer patients: a systematic review and meta-analysis[J]. Nutrients, 2024, 16(11): 1749. DOI: 10.3390/nu16111749.

7. O'SullivanDE, SutherlandRL, TownS, et al. Risk factors for early-onset colorectal cancer: a systematic review and meta-analysis[J]. Clin Gastroenterol Hepatol, 2022, 20(6): 1229-1240.e5. DOI: 10.1016/j.cgh.2021.01.037.

8. SiegelRL, TorreLA, SoerjomataramI, et al. Global patterns and trends in colorectal cancer incidence in young adults[J]. Gut, 2019, 68(12): 2179-2185. DOI: 10.1136/gutjnl-2019-319511.

9. GBD 2021 Diseases and Injuries Collaborators. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021[J]. Lancet, 2024, 403(10440): 2133-2161. DOI: 10.1016/S0140-6736(24)00757-8.

10. GBD 2021 Risk Factors Collaborators. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021[J]. Lancet, 2024, 403(10440): 2162-2203. DOI: 10.1016/S0140-6736(24)00933-4.

11. GBD 2019 Demographics Collaborators. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019[J]. Lancet, 2020, 396(10258): 1160-1203. DOI: 10.1016/S0140-6736(20)30977-6.

12. 宇传华, 白建军. 社会人口指数(SDI)的概念及其应用[J]. 公共卫生与预防医学, 2020, 31(1): 5-10.YuCH, BaiJJ. The concept of socio-demographic index (SDI) and its application[J]. Journal of Public Health and Preventive Medicine, 2020, 31(1): 5-10. DOI: 10.3969/j.issn.1006-2483.2020.01.002.

13. XuL, ZhaoJ, LiZ, et al. National and subnational incidence, mortality and associated factors of colorectal cancer in China: a systematic analysis and modelling study[J]. J Glob Health, 2023, 13: 04096. DOI: 10.7189/jogh.13.04096.

14. OngSS, XuL, DengX, et al. Trends, global comparisons, and projections of early onset colorectal cancer burden in China based on GBD study 2021[J]. Sci Rep, 2025, 15(1): 2969. DOI: 10.1038/s41598-025-87730-0.

15. MarkozannesG, Becerra-TomásN, CariolouM, et al. Post-diagnosis physical activity and sedentary behaviour and colorectal cancer prognosis: a Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis[J]. Int J Cancer, 2024, 155(3): 426-444. DOI: 10.1002/ijc.34903.

16. NasreddineL, ChamiehMC, AyoubJ, et al. Sex disparities in dietary intake across the lifespan: the case of Lebanon[J]. Nutr J, 2020, 19(1): 24. DOI: 10.1186/s12937-020-00543-x.

17. AfifyAY, AshryMH, HassanH. Sex differences in survival outcomes of early-onset colorectal cancer[J]. Sci Rep, 2024, 14(1): 22041. DOI: 10.1038/s41598-024-71999-8.

18. BaraibarI, RosJ, SaoudiN, et al. Sex and gender perspectives in colorectal cancer[J]. ESMO Open, 2023, 8(2): 101204. DOI: 10.1016/j.esmoop.2023.101204.

19. SongM, WuK, MeyerhardtJA, et al. Fiber intake and survival after colorectal cancer diagnosis[J]. JAMA Oncol, 2018, 4(1): 71-79. DOI: 10.1001/jamaoncol.2017.3684.

20. FritschJ, GarcesL, QuinteroMA, et al. Low-fat, high-fiber diet reduces markers of inflammation and dysbiosis and improves quality of life in patients with ulcerative colitis[J]. Clin Gastroenterol Hepatol, 2021, 19(6): 1189-1199.e30. DOI: 10.1016/j.cgh.2020.05.026.

21. FardetA. New hypotheses for the health-protective mechanisms of whole-grain cereals: what is beyond fibre?[J]. Nutr Res Rev, 2010, 23(1): 65-134. DOI: 10.1017/S0954422410000041.

22. 王同蕾, 宫照龙. 全谷物营养与健康作用[J]. 中国粮食经济, 2024, (12): 19-21.WangTL, GongZL. Nutrition and health effects of whole grains[J]. China Grain Economy, 2024, (12): 19-21. DOI: 10.3969/j.issn.1007-4821.2024.12.007.

23. YangW, MaY, Smith-WarnerS, et al. Calcium intake and survival after colorectal cancer diagnosis[J]. Clin Cancer Res, 2019, 25(6): 1980-1988. DOI: 10.1158/1078-0432.CCR-18-2965.

24. SchwingshacklL, SchwedhelmC, HoffmannG, et al. Food groups and risk of colorectal cancer[J]. Int J Cancer, 2018, 142(9): 1748-1758. DOI: 10.1002/ijc.31198.

25. YangB, McCulloughML, GapsturSM, et al. Calcium, vitamin D, dairy products, and mortality among colorectal cancer survivors: the Cancer Prevention Study-II Nutrition Cohort[J]. J Clin Oncol, 2014, 32(22): 2335-2343. DOI: 10.1200/JCO.2014.55.3024.

26. NoratT, RiboliE. Dairy products and colorectal cancer: a review of possible mechanisms and epidemiological evidence[J]. Eur J Clin Nutr, 2003, 57(1): 1-17. DOI: 10.1038/sj.ejcn.1601522.

27. FeldmanD, KrishnanAV, SwamiS, et al. The role of vitamin D in reducing cancer risk and progression[J]. Nat Rev Cancer, 2014, 14(5): 342-357. DOI: 10.1038/nrc3691.

28. YangS, BhargavaN, O'ConnorA, et al. Dairy consumption in adults in China: a systematic review[J]. BMC Nutr, 2023, 9(1): 116. DOI: 10.1186/s40795-023-00781-2.

29. VieiraAR, AbarL, ChanDSM, et al. Foods and beverages and colorectal cancer risk: a systematic review and meta-analysis of cohort studies, an update of the evidence of the WCRF-AICR Continuous Update Project[J]. Ann Oncol, 2017, 28(8): 1788-1802. DOI: 10.1093/annonc/mdx171.

30. SeiwertN, HeylmannD, HasselwanderS, et al. Mechanism of colorectal carcinogenesis triggered by heme iron from red meat[J]. Biochim Biophys Acta Rev Cancer, 2020, 1873(1): 188334. DOI: 10.1016/j.bbcan.2019.188334.

31. TureskyRJ. Mechanistic evidence for red meat and processed meat intake and cancer risk: a follow-up on the International Agency for Research on Cancer evaluation of 2015[J]. Chimia (Aarau), 2018, 72(10): 718-724. DOI: 10.2533/chimia.2018.718.

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