The study used a cohort research design; 20 out of 23 individuals, who participated in a project implemented as part of the Urinary Incontinence Prevention Program during the period of July-December 2018, were included in the study. Three participants were excluded on the basis of the following exclusion criteria: those who had missing data, those with a history of urologic and gynecologic diseases, those who have undergone surgeries in the past, those who were receiving treatment for urologic, gynecologic, or cardiovascular diseases at the time of the study, and those who were judged by doctors as being unsuitable for inclusion in the present study. Participants were required to respond to survey items about basic demographic details (i.e., age, height, weight, Body Mass Index [BMI], number of deliveries, presence or absence of urine leakage during the day and night, frequency of urination per day), the International Consultation on Incontinence Questionnaire-Urinary Incontinence-Short Form (ICIQ-UI SF), and the Skeleton Muscle Mass Index (SMI). Further, information such as the number of steps taken (i.e., step count), metabolic equivalent (METs; i.e., intensity of physical activity), exercise (i.e., amount of physical activity), comfortable walking speed (m/s), maximum walking speed (m/s), and scores on the TUG test were also recorded. Step count was measured for seven days from the date of initiation of the Urinary Incontinence Prevention Program, using a triaxial accelerometer Active Style Pro HJA-750C (OMRON Co., Ltd., Kyoto). Step count and physical activity were calculated on a daily basis; the METs figure was divided by the time taken in order to calculate the average value per unit time. Participants who recorded a step count that was higher than the group mean were classified as the “high step count group” whereas those who scored below the group mean were classified as the “low step count group.” Version 2.8.1 of the statistical software “R” was used to compare these two groups on each of the study variables. In order to compare group means, a Shapiro-Wilk test of normality was carried out, following which an independent-samples t-test was conducted. Fisher's exact test was used to compare groups differing in the number of deliveries and urine incontinence (i.e., presence vs. absence). The significance level was specified as .05. Additionally, the effect size (r) was calculated to compare effect sizes across survey items. An effect size that was between 0 and a value less than 0.1 was indicative of “no effect”; an effect size between 0.1 and a value less than 0.3 was described as “small”; an effect size between 0.3 and a value less than 0.5 was described as “medium”; and an effect size that was higher than 0.5 was described as “large.”