Classification tree analysis to examine influences on colorectal cancer screening
Gregory M Dominick1, Mia A Papas, Michelle L Rogers
1Department of Behavioral Health and Nutrition, University of Delaware, 26 North College Avenue, Newark, DE, 19716, USA, gdominic@udel.edu.
Cancer Causes & Control : CCC
|January 21, 2015
Summary
Doctor avoidance significantly impacts colorectal cancer screening (CRCS) adherence. Classification tree analysis identified distinct subgroups, aiding tailored cancer prevention strategies for diverse populations.
Area of Science:
- Public Health
- Health Behavior
- Cancer Prevention
Background:
- Identifying correlates of colorectal cancer screening (CRCS) is crucial for effective cancer control.
- Classification tree analysis (CTA) offers a powerful method to uncover complex interactions influencing CRCS within specific population subgroups.
Purpose of the Study:
- To utilize CTA for identifying correlates of CRCS within distinct population subgroups.
- To understand the influence of demographic, psychosocial, and numeracy variables on CRCS utilization.
Main Methods:
- Analysis of data from the 2007 Health Information National Trends Survey (HINTS).
- Application of Classification Tree Analysis (CTA) to a sample of 3,769 adults aged 50 and over.
- Examination of associations between demographic, psychosocial, and numeracy variables and CRCS status.
Main Results:
- The overall CRCS rate was 66.9%.
- Doctor avoidance emerged as the primary splitting variable in the CTA.
- The analysis identified 21 terminal node subgroups based on doctor avoidance patterns and other factors.
Conclusions:
- Doctor avoidance is a significant behavioral factor influencing adherence to colorectal cancer screening.
- CTA is a valuable tool for identifying unique characteristics within population subgroups to tailor interventions.
- Community-based strategies may effectively reach individuals who avoid routine medical visits, improving CRCS rates.
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