men are at higher risk for developing CRC than women in the general population and also subsite-specific risks differ by sex. The aim was to evaluate the impact of T2DM on these associations. METHODS: People with T2DM were selected from the PHARMO Database Network and matched (1:4) to diabetes free-controls. Incidence rates of CRC were compared using Cox proportional hazards modelling. Hazard ratios (HR) and 95% confidence intervals (CIs) were determined per sex and subsite of CRC and adjusted for age and socioeconomic status. The ratio of distal versus proximal colon cancer was calculated for people with T2DM and controls per sex and stratified by age. RESULTS: Over 50,000 people with T2DM were matched to >215,000 diabetes freecontrols. Mean follow-up time was almost 4 years for cases and 3.5-3.7 years for controls. Men and women with T2DM were 1.3 times more likely to develop CRC compared to controls. Compared to controls, men with T2DM were at higher risk to develop distal colon cancer (HR (95% CI): 1.42 (1.08-1.88)) than women with T2DM (HR (95% CI): 0.86 (0.55-1.35)). Women with T2DM were at higher risk to develop proximal colon cancer (HR (95% CI): 1.58 (1.13-2.19)) than men with T2DM (HR (95% CI): 1.20 (0.87-1.65)). For rectal cancer, no statistically significant risk was observed for both men and women. These findings remained after applying a 1-year lag-period to account for detection bias. Furthermore, women with T2DM aged 70 years were more likely to develop proximal rather than distal colon cancer. CONCLUSIONS: Sex-specific screening strategies and prevention protocols should be considered for people with T2DM. More tailored screening strategies may optimize the effectiveness of CRC screening in terms of reducing incidence and mortality. OBJECTIVES:To evaluate the risk of developing diabetes mellitus in users of a voluntary insurance, in Colombia, through the application of the FINDRISC scale, and thus set priorities in the care of said users. METHODS: The use of the FIN-DRISC scale was applied to a sample of affiliates 18 or older, which corresponded to a 10% of the population who voluntarily chose to assist to a consultation and the application of the scale, which has already been implemented in several countries. The characterization of the population leads to an analysis of the data which in turn allowed to classify the patients into groups of low, medium and high risk. RESULTS: As a result of the analysis, 37.2% of users present low risk, 21.2% moderate risk, and 41.6% high risk of developing the condition. The latter one showed a mean age of 57, with a 59% prevalence of women and 41% in men. High risk was associated with habits such as the lack of physical activity (96.5%), and the lack of consumption of fruits and vegetables (95.4%). Furthermore, 62.2% of the group presented family records of diabetes in a first and second degree of consanguinity CONCLUSIONS: The applicability and utility of the scale in the characterization of a population, which is to be intervened, has been proven. It has al...

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