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ABSTRACT Factors That Predict Change In Urinary Incontinence In Older Rural Women
Background and Problem: Urinary incontinence (UI) is a common condition, with as many as 4.6 million individuals affected. Further knowledge of the predisposing factors which may be associated with UI would allow health providers to identify individuals who may benefit from interventions to prevent, manage, or improve UI. Sample: In this retrospective research design, secondary analysis will be used to examine associations between the factors under study and UI severity as well as a change in UI severity. A sample of 218 older women was initially randomized into either a behavioral management or a control group. Measurement of Variables: The dependent variable, UI was operationally defined by severity, as measured by grams of urine loss per 24 hours and by a bladder diary used to assess episodes of urine loss. The independent variables will include the demographic factors of age, ethnicity, education, and income, physical health, mental health, and perception of health factors. Analysis: The distribution of demographic and health variables will be reported using frequencies, percents, and measures of central tendency, including means and standard deviations. A simultaneous regression will be run, entering those predictor variables which were significant in the separate models against the dependent variables of UI severity (episodes and grams of urine loss at baseline and change in UI severity for both episodes and grams of urine loss (time period 2 minus time period), using p=.05 level of significance. Depending on the level of statistical significance, the variables will next be entered into a stepwise regression. This will be done to determine whether there is a specific set of variables which best predicts UI or change in UI at the two time periods.
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