The association between educational status and colorectal neoplasia: results from a screening cohort

Abstract

Introduction Educational status is used as a proxy for socioeconomic status. While lower levels of education are generally associated with poorer health, the data on the relationship between educational status and colorectal neoplasia is heterogenous. The aim of our study was to examine this relationship and to adjust the association between educational status and colorectal neoplasia for other health parameters. Methods We included 5977 participants undergoing a screening colonoscopy in Austria. We split the cohort into patients with lower (n = 2156), medium (n = 2933), and higher (n = 459) educational status. Multivariable multilevel logistic regression models were fitted to evaluate the association between educational status and the occurrence of any or advanced colorectal neoplasia. We adjusted for age, sex, metabolic syndrome, family history, physical activity, alcohol consumption, and smoking status. Results We found that the rates of any neoplasia (32%) were similar between the educational strata. However, patients with higher (10%) educational status evidenced significantly higher rates of advanced colorectal neoplasia compared to medium (8%) and lower (7%) education. This association remained statistically significant after multivariable adjustment. The difference was entirely driven by neoplasia in the proximal colon. Conclusion Our study found that higher educational status was associated with a higher prevalence of advanced colorectal neoplasia compared to medium and lower educational status. This finding remained significant even after adjusting for other health parameters. Further research is needed to understand the underlying reasons for the observed difference, especially with regard to the specific anatomical distribution of the observed difference.

Screening program in healthy individuals reveals a high prevalence of chronic hepatitis C in the general population of Austria

“…All other data, including anthropometrics, biomarkers, and liver-speci c information, were acquired as described previously [13,14].…”