JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

Global, Regional, and National Disease Burden and Prediction Analysis of Colorectal Cancer Attributable to Tobacco, Alcohol, and Obesity From 1990 to 2030

  • 0Department of Health, Inspection and Quarantine, School of Public Health, University of South China, Hengyang, China.
Frontiers in Oncology +

|

March 13, 2025

|

March 13, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Global colorectal cancer deaths linked to smoking, alcohol, and obesity are rising, particularly in early-onset cases. Public health strategies focusing on cessation, moderation, and screening are crucial for prevention.

Area Of Science

  • Epidemiology
  • Public Health
  • Cancer Research

Background

  • Colorectal cancer (CRC) is a leading cause of global cancer incidence and mortality.
  • Smoking, alcohol use, and high body mass index (BMI) are significant modifiable risk factors for CRC.
  • The differential impact of these risk factors across demographics remains poorly understood.

Purpose Of The Study

  • To analyze the relationship between the Socio-Demographic Index (SDI) and age-standardized mortality/morbidity rates for CRC.
  • To investigate gender, SDI, and age-group trends in smoking, alcohol use, and high BMI related to CRC over 30 years.
  • To predict future CRC mortality trends attributed to these risk factors using the Bayesian age-period-cohort (BAPC) model.

Main Methods

  • Utilized Global Burden of Disease (GBD) study 2019 data.
  • Employed restrictive cubic splines (RCS) and quantile regression for SDI-ASMR/ASDR analysis.
  • Applied the Bayesian age-period-cohort (BAPC) model for mortality trend prediction.

Main Results

  • In 2019, smoking, alcohol, and obesity contributed to 142,931, 52,495, and 85,882 CRC deaths, respectively.
  • These factors collectively accounted for approximately one-third of all CRC deaths.
  • An increasing trend in early-onset CRC mortality associated with these risk factors was observed.

Conclusions

  • Public health interventions should prioritize health education, smoking cessation, alcohol moderation, and CRC screening.
  • Implementing these strategies is vital for reducing global CRC mortality rates.
  • Findings offer guidance for targeted CRC prevention policies across diverse regions, genders, and age groups worldwide.

Keywords:

Related Concept Videos

Cancer Prevention 02:59

6.0K

Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...

Statistical Methods for Analyzing Epidemiological Data 01:25

275

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Descriptive Statistics: These provide basic...

Observational Studies 01:11

8.2K

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...

Cancer Survival Analysis 01:21

315

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Genome-wide Association Studies-GWAS 01:11

12.3K

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

Mutagenicity and Carcinogenicity 01:25

1.2K

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...