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Overweight is the Main Behavioral Risk Factor Associated with Colorectal Cancer Mortality in the Brazilian Population: an Ecological Analysis

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Journal Sci Rep
Specialty Science
Date 2024 Nov 15
PMID 39548314
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Abstract

Colorectal cancer in Brazil is among the main public health concern. The burden of disease can be related to unhealthy lifestyle behavior and inequality in access to health services. The aim of this study was to identify the main factors associated with colorectal cancer mortality in Brazil. This is an ecological study that had the Brazilian Federal Units as the primary units of analysis. Colorectal cancer mortality data (ICD C18-C21) were obtained from Brazilian national mortality system to the year 2020. Prevalence of overweight, food consumption (fiber, whole grains and red meat), physical inactivity, smoke, alcohol consumption, the median of household income, years of study, rates of cancer treatment units and oncologist by Brazilian Federal Units were considered as factor associated to the colorectal cancer mortality. Quasipoisson Generalized Linear Models were used to associate CRC mortality and variables related to dietary intake, risk behavior, and access to health services. In 2020, there were 21,501 deaths by colorectal cancer (51% among women). Prevalence of overweight (men: IRR 1.03; CI: 1.01-1.04; women IRR 1.05; CI 1.02-1.08) and the density of oncologist (men: IRR 1.02; CI: 1.01-1.03; women IRR 1.02; CI 1.01-1.03) were the main factors associated with colorectal cancer mortality. Sociodemographic and food consumption characteristics were not statistically associated with CRC. Prevalence of overweight was the strongest factor associated with mortality from colorectal cancer in Brazil in 2020. Therefore, current public policies to reduce overweight and obesity should be prioritized and strengthened in Brazil.

Citing Articles

Temporal Trends in Stomach and Colorectal Cancer Mortality by Racial Groups in Brazil (2000-2023): A Longitudinal Ecological Study.

Meira K, Guimaraes R, Guimaraes N Int J Environ Res Public Health. 2025; 22(2).

PMID: 40003434 PMC: 11855464. DOI: 10.3390/ijerph22020208.

References
1.
Tooze J, Kipnis V, Buckman D, Carroll R, Freedman L, Guenther P . A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method. Stat Med. 2010; 29(27):2857-68. PMC: 3865776. DOI: 10.1002/sim.4063. View

2.
Tooze J, Midthune D, Dodd K, Freedman L, Krebs-Smith S, Subar A . A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc. 2006; 106(10):1575-87. PMC: 2517157. DOI: 10.1016/j.jada.2006.07.003. View

3.
Bigoni A, Cunha A, Antunes J . Redistributing deaths by ill-defined and unspecified causes on cancer mortality in Brazil. Rev Saude Publica. 2021; 55:106. PMC: 8664061. DOI: 10.11606/s1518-8787.2021055003319. View

4.
Rezende L, Malhao T, da Silva Barbosa R, Schilithz A, da Silva R, Moreira L . The current and future costs of colorectal cancer attributable to red and processed meat consumption in Brazil. BMC Health Serv Res. 2023; 23(1):1182. PMC: 10617206. DOI: 10.1186/s12913-023-10169-4. View

5.
Keum N, Giovannucci E . Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies. Nat Rev Gastroenterol Hepatol. 2019; 16(12):713-732. DOI: 10.1038/s41575-019-0189-8. View