Repeated biennial FIT screening is acceptable with increased participation in successive screening rounds, and >70% of all eligible subjects participating at least once over three rounds. The decline in screen-detected AN over three screening rounds is compatible with a decreased prevalence of AN as a result of repeated FIT screening. These findings provide strong evidence for the effectiveness of FIT screening and stress the importance of ongoing research over multiple screening rounds.
Background:The effectiveness of faecal immunochemical test (FIT)-based screening programs is highly dependent on consistent participation over multiple rounds. We evaluated adherence to FIT screening over four rounds and aimed to identify determinants of participation behaviour.Methods:A total of 23 339 randomly selected asymptomatic persons aged 50–74 years were invited for biennial FIT-based colorectal cancer screening between 2006 and 2014. All were invited for every consecutive round, except for those who had moved out of the area, passed the upper age limit, or had tested positive in a previous screening round. A reminder letter was sent to non-responders. We calculated participation rates per round, response rates to a reminder letter, and differences in participation between subgroups defined by age, sex, and socioeconomic status (SES).Results:Over the four rounds, participation rates increased significantly, from 60% (95% CI 60–61), 60% (95% CI 59–60), 62% (95% CI 61–63) to 63% (95% CI 62–64; P for trend<0.001) with significantly higher participation rates in women in all rounds (P<0.001). Of the 17 312 invitees eligible for at least two rounds of FIT screening, 12 455 (72%) participated at least once, whereas 4857 (28%) never participated; 8271 (48%) attended all rounds when eligible. Consistent participation was associated with older age, female sex, and higher SES. Offering a reminder letter after the initial invite in the first round increased uptake with 12% in subsequent screening rounds this resulted in an additional uptake of up to 10%.Conclusions:In four rounds of a pilot biennial FIT-screening program, we observed a consistently high and increasing participation rate, whereas sending reminders remain effective. The substantial proportion of inconsistent participants suggests the existence of incidental barriers to participation, which, if possible, should be identified and removed.
Objective: Unfavourable dietary habits might explain a part of the increased cardiovascular morbidity and mortality among the lower socioeconomic groups. The aim of the study was to describe differences in dietary intake in older subjects by socioeconomic status, as indicated by educational level. Design: A cross-sectional analysis of socioeconomic status in relation to dietary intake. Setting: The Rotterdam Study. Subjects: 2213 men and 3193 women, aged 55 y and over living between 1990 and 1993 in a district of Rotterdam, The Netherlands. Methods: Dietary data were assessed with a semiquantitative food frequency questionnaire, containing 170 food items in 13 food groups. Results: In general, the dietary differences between socioeconomic groups were small. Lower educated subjects had a higher intake of almost all macronutrients compared with higher educated subjects. The total energy intake of menawomen with the lowest educational level differed from those with the highest education in the following respect: 9.60a7.54 vs 8.94a7.17 MJaday. Furthermore, fat composition was more adverse in the lower educated strata; in lower educated subjects, relatively more energy was derived from saturated fat (14.5a14.6 vs 13.8a13.8 energy%), the ratio of polyunsaturated saturated fat was lower (for men: 0.50 vs 0.55) and the intake of cholesterol higher (271a220 vs 240a204 mgaday). These differences could be explained by a higher intake of visible fat (46a37 vs 44a34 gaday) and more meat consumption (130a100 vs 116a86 gaday). In addition, the composition of these products differed: the higher educated used relatively more lean meat and lowfat milk products. Furthermore, the intake of ®bre was lower among the lower educated (1.88a2.17 vs 2.03a2.29 gaMJ). Among lower educated groups there were more abstainers (15.5a31.5 vs 12.3a26.9%) and the type of alcoholic beverages also differed between the groups. Intake of antioxidant vitamins from food alone did not differ between educational groups. Conclusions: In Dutch elderly people, there are socioeconomic differences in dietary intake. Although these differences are small, these ®ndings support the role of diet in the explanation of socioeconomic inequalities in cardiovascular health.
Opinion statementColorectal cancer (CRC) forms an important public health problem, especially in developed countries. CRC screening tests can be used to identify asymptomatic individuals with CRC precursors and (early) cancer. Removal of these lesions reduces CRC incidence and prevents CRC-related mortality. There are a range of screening tests available, each with advantages and disadvantages. Stool screening tests can broadly be divided into fecal occult blood tests (FOBTs) and molecular biomarker test, such as DNA/RNA marker tests, protein markers, and fecal microbiome marker tests. Guaiac fecal occult blood tests (gFOBT) have been demonstrated in large randomized screening trials to reduce CRC mortality. Fecal immunochemical tests (FIT) have superior adherence, usability, and accuracy as compared to gFOBT. Advantage of the use of quantitative FITs in CRC screening programs is the cut-off level that can be adjusted. Molecular biomarker DNA tests have shown to detect significantly more cancers than FIT. By combining biomarker DNA tests with FIT, sensitivity for advanced adenomas can be increased significantly. However, it has lower specificity thus demands more colonoscopy resources, is more cumbersome, and costly. The adherence has not been assessed in population screening trials. For these reasons, FIT is therefore at present regarded as the preferred method of non-invasive CRC screening. This chapter will review the current status of fecal test-based CRC screening.
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