title: [Analysis of risk factors about stress urinary incontinence in female].
abstract: OBJECTIVE
  The aim was to assess the prevalence of stress urinary incontinence (SUI) in community dwelling women and to assess the relationship between the various risk factors and this disease.
  
  
  METHODS
  Selecting the community of Gulou at random and sending questionnaires to 6,066 women who living there. The questionnaire was designed to investigate the lower urinary tract symptoms, especially urinary incontinence. The questionnaire included some questions such as: age, weight, occupation, the level of education, menopause pregnancy and delivery, delivery through vagina or by cesarean section, the maximum body weight of fetus, chronic disease (hypertension, diabetes mellitus, cough, constipation), operation in abdomen and pelvis, the behaviour of life (smoking, alcohol abuse, exercise), the prevalence and frequency of urinary incontinence, the quality of life and the recognition of this disease.
  
  
  RESULTS
  The collecting rate was 92.1% (5,587/6,066). The prevalence of urinary incontinence was 18.1% and the prevalence of SUI was 8.8%. Age (OR: 1.010, 95% CI: 1.001 - 1.025), higher body mass index (OR: 1.092, 95% CI: 1.054 - 1.132), hypertension (OR: 2.342, 95% CI: 1.026 - 5.349), constipation (OR: 1.448, 95% CI: 1.216 - 1.725), multiple abortion (OR: 1.306, 95% CI: 1.113 - 1.533), multipara (OR: 1.205, 95% CI: 1.009 - 1.440), using abdominal pressure in laboring (OR: 1.684, 95% CI: 1.140 - 2.489), straight cutting of perineum (OR: 2.244, 95% CI: 1.162 - 4.334), perineum tear (OR: 2.576, 95% CI: 1.724 - 3.851), infection of perineal incision (OR: 5.988, 95% CI: 1.936 - 18.616) were risk factors of SUI in women.
  
  
  CONCLUSIONS
  Many risk factors can cause urinary incontinence, among them age, pregnancy and childbirth are most important ones.
authors.affiliation: Department of Obstetrics and Gynecology, Fuzhou General Hospital, Najing Military Command, Fuzhou 350025, China.
authors.forename: Yan-feng
authors.initials: YF
authors.lastname: Song
authors.forename: Jian
authors.initials: J
authors.lastname: Lin
authors.forename: Ya-qin
authors.initials: YQ
authors.lastname: Li
authors.forename: Xiao-yu
authors.initials: XY
authors.lastname: He
authors.forename: Bo
authors.initials: B
authors.lastname: Xu
authors.forename: Lan
authors.initials: L
authors.lastname: Hao
authors.forename: Jian
authors.initials: J
authors.lastname: Song
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D005260:Female; D006801:Humans; D016015:Logistic Models; D008593:Menopause; D008875:Middle Aged; D015999:Multivariate Analysis; D011897:Random Allocation; D017584:Reproductive History; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014550:Urinary Incontinence, Stress / Q000453:epidemiology*