ArticleBMC cancer2022
Lifestyle predictors for inconsistent participation to fecal based colorectal cancer screening.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Longitudinal Adherence With Stool-Based Testing for Colorectal Cancer Screening in Four United States Health Systems.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026Article
- Association between use of non-aspirin non-steroidal anti-inflammatory drugs and detection of colorectal polyps and cancer in a screening setting.Gastroenterology report · 2026Article
- Cancer screening and its associated factors in hypertensive individuals: new insights from the 2021 STEPs national study in Iran.BMC public health · 2025Article
- Article
- Sociodemographic Factors Associated with Mailed Fecal Immunochemical Testing Uptake During the COVID-19 Pandemic: Substance Use Linked to Reduced Screening Completion in Younger Adults.Journal of gastrointestinal cancer · 2024Article
- Behavioral activation / inhibition systems and lifestyle as predictors of mental disorders in adolescent athletes during Covid19 pandemic.BMC public health · 2022Article
- Cardiovascular Health and Colorectal Cancer Screening in Black Men: A Cross-Sectional Analysis.American journal of men's healthArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundConsistent participation in colorectal cancer (CRC) screening with repeated fecal immunochemical test (FIT) is important for the success of the screening program. We investigated whether lifestyle risk factors for CRC were related to inconsistent participation in up to four rounds of FIT-screening.
methodWe included data from 3,051 individuals who participated in up to four FIT-screening rounds and returned a lifestyle questionnaire. Using logistic regression analyses, we estimated associations between smoking habits, body mass index (BMI), physical activity, alcohol consumption, diet and a healthy lifestyle score (from least favorable 0 to most favorable 5), and inconsistent participation (i.e. not participating in all rounds of eligible FIT screening invitations).
resultsAltogether 721 (24%) individuals were categorized as inconsistent participants Current smoking and BMI ≥30 kg/m
conclusionsLifestyle behaviors were associated with inconsistent participation in FIT-screening. Initiatives aimed at increasing participation rates among those with the unhealthiest lifestyle have a potential to improve the efficiency of screening.
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