Related Experiment Video
Updated: Feb 19, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Racial Disparities and Factors Affecting Michigan Colorectal Cancer Screening
Vincent Grzywacz1, Nasir Hussain2, Neli Ragina2
1Central Michigan University College of Medicine, 1280 S. East Campus St, Mt. Pleasant, MI, 48859, USA. grzyw1vp@cmich.edu.
Introduction:
The objective of this study was to investigate the various factors that influence colorectal cancer screening in Michigan using 6091 participants in the Michigan Behavioral Risk Factor Surveillance System representing adults ≥ 50 years old.
Methods:
Screening for colorectal cancer was assessed as fecal occult blood testing or colonoscopy/sigmoidoscopy. Full models simultaneously adjusted for alcohol use, angina/coronary heart disease, stroke, heart attack, gender, income, marital status, race, age, diabetes, disability, exercise, health care coverage, health care access, smoking, and mental health. Data analysis included cross-tabulation and logistic regression modeling.
Results:
Minorities were 1.3 (unadjusted odds ratio; 95% confidence interval = 1.03-1.57) times more likely to never have a colonoscopy/sigmoidoscopy than non-Hispanic whites. Race/ethnicity was not significant in the full model, but adults with the following characteristics were significantly (p < 0.05) more likely to never have a colonoscopy/sigmoidoscopy: no personal doctor/health care provider, no health care coverage, light alcohol consumption ≤ 25% of days, no alcohol consumption, low income < $15,000, 50-64 years old, no diabetes, no activity limitation, no exercise, smoked daily, and smoked some days.
Conclusion:
The racial disparity in colorectal cancer screening in Michigan was explained by other characteristics. The healthcare community can work to eliminate racial disparities in colorectal cancer screening by increasing screening efforts for individuals with these characteristics.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
09:55Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Related Concept Videos
Cancer Prevention
Some...
Bias in Epidemiological Studies
Stereotypes, Prejudice, and Discrimination
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Surveys
Statistical Methods for Analyzing Epidemiological Data