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Exploring the association between type 2 diabetes and fecal incontinence in american adults: insights from a large cross-sectional study.


ABSTRACT: The relationship between fecal incontinence (FI) and type 2 diabetes (T2D) has been well recognized, but a comprehensive understanding of this relationship is lacking, taking into account demographic factors and lifestyle variables. Using a cross-sectional approach, 13,510 adults aged 20 years and older were identified from the 2005-2010 National Health and Nutrition Examination Survey. Multivariate logistic regression models were used to calculate the adjusted odds ratios (ORs), and further subgroup analyses and propensity score analysis were performed to ensure stable results. Among 13,510 adults, 11.2% had T2D, and 8.8% had FI. We found a strong T2D-FI link (OR: 1.30; 95% CI: 1.09-1.54, P < 0.001), even after adjusting for covariates. Age > 45 was a critical factor, with a stronger T2D-FI association. Sedentary behavior (OR: 1.41; 95% CI: 1.15-1.73) in T2D patients were associated with FI. Our study highlights the significant T2D-FI link in US adults, especially in older T2D patients. Lifestyle changes may reduce FI risk. More research is needed for causality and mechanisms.

SUBMITTER: Li LC 

PROVIDER: S-EPMC11291540 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Exploring the association between type 2 diabetes and fecal incontinence in american adults: insights from a large cross-sectional study.

Li Lun-Chao LC   Liang Li-Ming LM   Ji Hong-Ye HY   Zhang Can C   Wang Man M   Liu Hong-Sheng HS  

International journal of colorectal disease 20240731 1


<h4>Background</h4>The relationship between fecal incontinence (FI) and type 2 diabetes (T2D) has been well recognized, but a comprehensive understanding of this relationship is lacking, taking into account demographic factors and lifestyle variables.<h4>Methods</h4>Using a cross-sectional approach, 13,510 adults aged 20 years and older were identified from the 2005-2010 National Health and Nutrition Examination Survey. Multivariate logistic regression models were used to calculate the adjusted  ...[more]

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