Abstract
Nowadays, colorectal cancer (CRC) is the second leading cause of cancer deaths and contributes to a gradually increasing disease burden. We aimed to estimate the secular trends of global CRC burden, the effect of age, period, and birth cohort, and project the global burden over time. Based on the epidemiological CRC data from 1990 to 2019 in 204 countries and territories from GBD 2019, the estimated annual percentage change (EAPC), was calculated from a linear model and joinpoint regression model. We utilized an age-period-cohort model to reckon age, period, and birth cohort effects on CRC age-standardized rate. The burden of CRC was projected by conducting the BAPC model. Globally, there was a slight decline in the age-standardized DALY rate, which was more apparent in females, with high SDI regions and in Australia and Western Europe areas. Meanwhile, our model predicts a weaker increase in morbidity (EAPC of 0.37) and a speedier reduction in mortality (EAPC of -0.66) by the next 20 years. The relative risk of period for high SDI regions decreased from 1.08 (95%UI: 1.06-1.1) in 1990-1994 to 0.85 (95%UI:0.83-0.88) in 2015-2019, but worsens in low and middle SDI regions. The local drifts were more than 1 in the 30-34 and 35-39 age groups, indicating the rising tide of early-onset CRC. Given the gender and region-specific CRC, targeted efforts to reduce the prevalence of risk factors, improve screening coverage rates, and strengthen foundational medical facilities are necessary.
Similar content being viewed by others
Data availability
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
References
Arnold M et al (2017) Global patterns and trends in colorectal cancer incidence and mortality. Gut 66(4):683–691
Baidoun F et al (2021) Colorectal cancer epidemiology: recent trends and impact on outcomes. Curr Drug Targets 22(9):998–1009
Botteri E et al (2020) Smoking and colorectal cancer risk, overall and by molecular subtypes: a meta-analysis. Am J Gastroenterol 115(12):1940–1949
Bray F, Soerjomataram I (2015) The changing global burden of cancer: transitions in human development and implications for cancer prevention and control. In: Gelband H, Jha P, Sankaranarayanan R, Horton S (eds) Cancer: Disease Control Priorities, Third Edition (Volume 3). The International Bank for Reconstruction and Development / The World Bank, Washington (DC)
Brenner H, Chen C (2018) The colorectal cancer epidemic: challenges and opportunities for primary, secondary and tertiary prevention. Br J Cancer 119(7):785–792
Burnett-Hartman AN et al (2021) An update on the epidemiology, molecular characterization, diagnosis, and screening strategies for early-onset colorectal cancer. Gastroenterology. 160(4):1041–1049
Carr PR et al (2018) Lifestyle factors and risk of sporadic colorectal cancer by microsatellite instability status: a systematic review and meta-analyses. Ann Oncol 29(4):825–834
Chen F et al (2022) Long-time trend of colorectal cancer mortality attributable to high processed meat intake in China and a Bayesian projection from 2020 to 2030: a model-based study. Int J Environ Res Public Health 19(17):10603
Cheng L et al (2011) Trends in colorectal cancer incidence by anatomic site and disease stage in the United States from 1976 to 2005. Am J Clin Oncol 34(6):573–580
Clonan A et al (2016) Socioeconomic and demographic drivers of red and processed meat consumption: implications for health and environmental sustainability. Proc Nutr Soc 75(3):367–373
Collaborators GBDT (2017) Smoking prevalence and attributable disease burden in 195 countries and territories, 1990-2015: a systematic analysis from the Global Burden of Disease Study 2015. Lancet 389(10082):1885–1906
Day LW, Velayos F (2014) Colorectal cancer and the elderly. Clin Geriatr Med 30(1):117–131
De Carvalho TC et al (2020) Incidence of colorectal cancer in selected countries of Latin America: age-period-cohort effect. Asian Pac J Cancer Prev 21(11):3421–3428
Falchetta G et al (2020) Planning universal accessibility to public health care in sub-Saharan Africa. Proc Natl Acad Sci U S A 117(50):31760–31769
Ferlay J et al (2019) Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer 144(8):1941–1953
Ferreira APS et al (2021) Increasing trends in obesity prevalence from 2013 to 2019 and associated factors in Brazil. Rev Bras Epidemiol 24(suppl 2):e210009
GBD (2015) Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 385(9963):117–171
GBD (2016) Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388(10053):1545–1602
GBD (2020a) Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396(10258):1223–1249
GBD (2020b) Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396(10258):1204–1222
Genua F et al (2021) The role of gut barrier dysfunction and microbiome dysbiosis in colorectal cancer development. Front Oncol 11:626349
Graff RE et al (2017) Familial risk and heritability of colorectal cancer in the nordic twin study of cancer. Clin Gastroenterol Hepatol 15(8):1256–1264
Hultcrantz R (2021) Aspects of colorectal cancer screening, methods, age and gender. J Intern Med 289(4):493–507
HUMANOSPHERE, 2016. A new way to measure progress in global health. https://www.humanosphere.org/global-health/2016/10/a-new-way-to-measure-progress-global-health/.
Janssen F et al (2021) Future life expectancy in Europe taking into account the impact of smoking, obesity, and alcohol. Elife. 10:e66590
Jurgens V et al (2014) A Bayesian generalized age-period-cohort power model for cancer projections. Stat Med 33(26):4627–4636
Kanth P, Inadomi JM (2021) Screening and prevention of colorectal cancer. BMJ 374:n1855
Kerr J et al (2017) Physical activity, sedentary behaviour, diet, and cancer: an update and emerging new evidence. Lancet Oncol 18(8):e457–e471
Kim HJ et al (2000) Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 19(3):335–351
Lee TC et al (2011) Short-term cancer mortality projections: a comparative study of prediction methods. Stat Med 30(29):3387–3402
Li N et al (2021) Incidence, mortality, survival, risk factor and screening of colorectal cancer: a comparison among China, Europe, and northern America. Cancer Lett 522:255–268
Li H, Du L (2020) Application of Joinpoint regression model in cancer epidemiological time trend analysis. Zhonghua Yu Fang Yi Xue Za Zhi 54(08):908–912
Lin JS et al (2021) Screening for colorectal cancer: updated evidence report and systematic review for the US preventive services task force. JAMA 325(19):1978–1997
Liu Y et al (2023) Temporal trends in the disease burden of colorectal cancer with its risk factors at the global and national level from 1990 to 2019, and projections until 2044. Clin Epidemiol 15:55–71
Luo L (2013) Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography. 50(6):1945–1967
Mousavi SM, Hemminki K (2015) Cancer incidence, trends, and survival among immigrants to Sweden: a population-based study. Eur J Cancer Prev 24(Suppl 1):S1–S63
Murray CJ, Lopez AD (2013) Measuring the global burden of disease. N Engl J Med 369(5):448–457
NCI, 2014. Age period cohort analysis web tool. https://dceg.cancer.gov/tools/analysis/apc
Rawla P et al (2019) Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors. Prz Gastroenterol 14(2):89–103
Rosenberg PS, Anderson WF (2011) Age-period-cohort models in cancer surveillance research: ready for prime time? Cancer Epidemiol Biomarkers Prev 20(7):1263–1268
Sung H et al (2021) Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249
Thanikachalam K, Khan G (2019) Colorectal cancer and nutrition. Nutrients. 11(1):164
UnitedNations, 2022. 2022 Revision of world population prospects. https://population.un.org/wpp/
Vabi BW et al (2021) Implications of the growing incidence of global colorectal cancer. J Gastrointest Oncol 12(Suppl 2):S387–S398
Vieira AR et al (2017) 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. Ann Oncol 28(8):1788–1802
Wolf AMD et al (2018) Colorectal cancer screening for average-risk adults: 2018 guideline update from the American Cancer Society. CA Cancer J Clin 68(4):250–281
** Y, Xu P (2021) Global colorectal cancer burden in 2020 and projections to 2040. Transl Oncol 14(10):101174
Yu D et al (2020) Status and trends in consumption of grains and dietary fiber among Chinese adults (1982-2015). Nutr Rev 78(Suppl 1):43–53
YU C, BAI J (2020) The concept of Socio-Demographic Index (SDI) and its application. J Prev Med Public Health 31(01):5–10
Zhang L et al (2019) Trends in and predictions of colorectal cancer incidence and mortality in China from 1990 to 2025. Front Oncol 9:98
Acknowledgments
This work was supported by the National Key Research and Development Program of China (grant no. 2018YFC1603105).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interest
The authors declare no competing interests.
Additional information
Responsible Editor: Lotfi Aleya
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Hu, S., Li, Y., Zhu, W. et al. Global, region and national trends and age-period-cohort effects in colorectal cancer burden from 1990 to 2019, with predictions to 2039. Environ Sci Pollut Res 30, 83245–83259 (2023). https://doi.org/10.1007/s11356-023-28223-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-28223-3