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Metabolic Syndrome and Colorectal Cancer Risk: Results of Propensity Score-Based Analyses in a Community-Based Cohort Study.


ABSTRACT: BACKGROUND:This study aimed to determine the effects of metabolic syndrome (MetS) on colorectal cancer (CRC) using propensity score (PS) methods. METHODS:The study subjects were 2417 men and 4568 women from the Korean National Cancer Center (KNCC) Community Cohort enrolled between 2003 and 2010. Odds risks (ORs) and 95% confidence intervals (CIs) using PS matching analysis, regression models adjusted by the PS or stratified into five strata according to PS, and PS weighting methods were calculated. RESULTS:In women, MetS and abnormally high triglyceride (TG) levels were associated with CRC risk using the PS matching analysis (ORs, for MetS, 2.19 (95% CI, 1.10-4.33); for abnormal TG levels, 2.08 (95% CI, 1.07-4.02)). However, there were no significant associations between MetS and TG levels and CRC risk in men. CONCLUSIONS:Our study might provide additional evidence that deteriorated metabolic profiles increase the risk of CRC in women rather than men. Thus, this may have an important role in effective population-level interventions for deteriorated metabolic profiles at an early stage.

SUBMITTER: Kim J 

PROVIDER: S-EPMC7700241 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Metabolic Syndrome and Colorectal Cancer Risk: Results of Propensity Score-Based Analyses in a Community-Based Cohort Study.

Kim Jinsun J   Park Eun Young EY   Park Eunjung E   Lim Min Kyung MK   Oh Jin-Kyoung JK   Kim Byungmi B  

International journal of environmental research and public health 20201123 22


<h4>Background</h4>This study aimed to determine the effects of metabolic syndrome (MetS) on colorectal cancer (CRC) using propensity score (PS) methods.<h4>Methods</h4>The study subjects were 2417 men and 4568 women from the Korean National Cancer Center (KNCC) Community Cohort enrolled between 2003 and 2010. Odds risks (ORs) and 95% confidence intervals (CIs) using PS matching analysis, regression models adjusted by the PS or stratified into five strata according to PS, and PS weighting method  ...[more]

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