J Neurogastroenterol Motil.  2012 Jan;18(1):86-93.

Prevalence and Predictive Factors of Fecal Incontinence

Affiliations
  • 1Department of Internal Medicine, Ewha Medical Research Institute, Ewha Womans University School of Medicine, Seoul, Korea. junghk@ewha.ac.kr

Abstract

BACKGROUND/AIMS
Most previous epidemiologic studies about fecal incontinence were performed in specific populations in Korea. We aimed to estimate the prevalence and predictive factors of fecal incontinence in adult Korean population, both men and women aged 20 years and over.
METHODS
Subjects who had undergone medical check-up for health screening were enrolled. They completed the structured questionnaires, including demographics, gastrointestinal symptoms, medical and social histories, and also about their bowel habits. Logistic regression models were constructed to identify the predictive factors for having fecal incontinence.
RESULTS
Among the total of 1,149 subjects (mean age, 44.8 +/- 10.2 years; 648 males), the overall prevalence of fecal incontinence was 6.4%, while the older group (> 50 years old) showed the higher prevalence than the younger group (< or = 50 years old) (10.4% vs 4.9%, P = 0.001) without gender difference. Most patients had mild fecal incontinence in 78.4%. By multivariate analysis, old ages (Odd ratio [OR], 3.1; 95% confidence interval [CI], 1.9-5.2; P < 0.001), watery stool (OR, 2.8; 95% CI, 1.5-4.9; P = 0.001) and functional diarrhea (OR, 2.7; 95% CI, 1.4-5.4; P = 0.004) were found to be independent predictors for fecal incontinence.
CONCLUSIONS
The prevalence of fecal incontinence in Korean adults was 6.4%, and it was significantly more prevalent in older people without any gender difference. Aging and diarrhea were independent predictive factors of fecal incontinence. Therefore, proper control of the bowel pattern would lead to the prevention of fecal incontinence.

Keyword

Epidemiology; Fecal incontinence; Prevalence; Risk factors

MeSH Terms

Adult
Aged
Aging
Demography
Diarrhea
Epidemiologic Studies
Fecal Incontinence
Female
Humans
Korea
Logistic Models
Male
Mass Screening
Multivariate Analysis
Prevalence
Surveys and Questionnaires
Risk Factors
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