Section for Colorectal Cancer Screening, Cancer Registry of Norway, P.O. Box 5313, 0304, Majorstuen, Oslo, Norway.
Department of Transplantation Medicine, Division of Surgery, Inflammatory Diseases and Transplantation, Norwegian PSC Research Center, Oslo University Hospital, P.O. Box 4950, 0424, Rikshospitalet, Nydalen, Oslo, Norway.
BMC Cancer. 2022 Feb 15;22(1):172. doi: 10.1186/s12885-022-09287-9.
Consistent 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.
We 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).
Altogether 721 (24%) individuals were categorized as inconsistent participants Current smoking and BMI ≥30 kg/m were associated with inconsistent participation; odds ratios (ORs) and 95% confidence intervals (CIs) were 1.54 (1.21-2.95) and 1.54 (1.20-1.97), respectively. A significant trend towards inconsistent participation by a lower healthy lifestyle score was observed (p < 0.05).
Lifestyle 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.
在结直肠癌(CRC)筛查中持续参与并反复进行粪便免疫化学检测(FIT)对筛查计划的成功至关重要。我们研究了结直肠癌的生活方式风险因素是否与不参与多达四轮的 FIT 筛查有关。
我们纳入了 3051 名参与了多达四轮 FIT 筛查并返回生活方式问卷的个体的数据。使用逻辑回归分析,我们估计了吸烟习惯、体重指数(BMI)、身体活动、饮酒、饮食和健康生活方式评分(从最不利的 0 分到最有利的 5 分)与不参与(即未参与所有符合条件的 FIT 筛查邀请)之间的关联。
共有 721 名(24%)个体被归类为不参与个体。目前吸烟和 BMI≥30kg/m2与不参与有关;比值比(OR)和 95%置信区间(CI)分别为 1.54(1.21-2.95)和 1.54(1.20-1.97)。健康生活方式评分较低的个体不参与的趋势具有统计学意义(p<0.05)。
生活方式行为与 FIT 筛查的不参与有关。针对最不健康生活方式个体提高参与率的举措有可能提高筛查的效率。