2022
DOI: 10.3390/ijerph192315642
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Urinary Incontinence and Sleep Quality in Older Women with Type 2 Diabetes: A Cross-Sectional Study

Abstract: Background: Urinary incontinence (UI) and poor sleep negatively affect health-related quality of life (HRQoL). This study explored the UI-related factors and the relationships between UI, sleep quality, and HRQoL. Methods: This cross-sectional study collected data from 237 women with type 2 diabetes. Multivariate logistic regression was conducted to identify the factors associated with UI. One-way analysis of variance was used to compare the mean sleep quality and HRQoL scores of women without UI and those who… Show more

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Cited by 3 publications
(2 citation statements)
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“…Poor sleepers showed higher incidence of night micturition and autonomic dysfunction than good sleepers. The results concur with Li et al [46], who confirmed worse sleep quality and healthrelated quality of life in T2DM females suffering from urinary incontinence with more than three episodes of nighttime voiding. The results are also consistent with Moningi et al [47], who found that neurogenic bladder may be a result of impaired detrusor function and reduced bladder sensation, which in turn…”
Section: Smrsupporting
confidence: 92%
“…Poor sleepers showed higher incidence of night micturition and autonomic dysfunction than good sleepers. The results concur with Li et al [46], who confirmed worse sleep quality and healthrelated quality of life in T2DM females suffering from urinary incontinence with more than three episodes of nighttime voiding. The results are also consistent with Moningi et al [47], who found that neurogenic bladder may be a result of impaired detrusor function and reduced bladder sensation, which in turn…”
Section: Smrsupporting
confidence: 92%
“… 9 28 For example, in a study conducted in Northwest Iran, 38% of patients with T2DM were classified as poor sleepers, 28 and in another study conducted in Japan, the prevalence of poor sleep quality was 38.4%. 9 Nonetheless, the prevalence found in the present study (40.5%) was lower than that found in a study by Li et al (58.7%) 29 and higher than that found in a study by Lou et al (33.6%). 30 The different prevalence observed across these studies can be mainly explained by the differences in study populations, sample sizes and instruments used to assess sleep quality.…”
Section: Discussioncontrasting
confidence: 80%