Neurourology and urodynamics · 2013
Prevalence and risk factors of urinary incontinence for post-stroke inpatients in Southern China.
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Cai Wenzhi, Wang Juan, Wang Li, Wang Jingxin, Guo Li
Аннотация
AIMS: The prevalence and risk factors of urinary incontinence (UI) for post-stroke inpatients remain unclear. In this study, we aimed to investigate the risk factors associated with the development of UI for post-stroke inpatients in southern China.
DESIGN: Cross-sectional survey.
SUBJECTS AND METHODS: A total of 711 post-stroke patients from neurological units at 8 different hospitals in Guangzhou, a city in southern China, were interviewed face to face. Data were collected by a self-designed questionnaire which includes sociodemographic variables, characteristics of stroke, and medical history.
RESULTS: The prevalence of UI among post-stroke inpatients was 44.3%. By multivariate logistic regression, we found that major risk factors for UI included health care assistant care (OR = 3.935), hemorrhagic stroke (OR = 1.755), mixed stroke (OR = 2.802), parietal lobe lesion (OR = 1.737), chronic cough (OR = 2.099), aphasia (OR = 3.541), and post-stroke depression (OR = 3.398).
CONCLUSIONS: The prevalence of UI among post-stroke inpatients is high. Stroke inpatients looked after by health care assistant, hemorrhagic stroke, mixed stroke, parietal lobe lesion, chronic cough, aphasia, and post-stroke depression were high-risk groups for UI. These patients should be targeted when planning intervention programs.
DESIGN: Cross-sectional survey.
SUBJECTS AND METHODS: A total of 711 post-stroke patients from neurological units at 8 different hospitals in Guangzhou, a city in southern China, were interviewed face to face. Data were collected by a self-designed questionnaire which includes sociodemographic variables, characteristics of stroke, and medical history.
RESULTS: The prevalence of UI among post-stroke inpatients was 44.3%. By multivariate logistic regression, we found that major risk factors for UI included health care assistant care (OR = 3.935), hemorrhagic stroke (OR = 1.755), mixed stroke (OR = 2.802), parietal lobe lesion (OR = 1.737), chronic cough (OR = 2.099), aphasia (OR = 3.541), and post-stroke depression (OR = 3.398).
CONCLUSIONS: The prevalence of UI among post-stroke inpatients is high. Stroke inpatients looked after by health care assistant, hemorrhagic stroke, mixed stroke, parietal lobe lesion, chronic cough, aphasia, and post-stroke depression were high-risk groups for UI. These patients should be targeted when planning intervention programs.