Dataset Information

Anxiety and depression in women with urinary incontinence using E-health.

ABSTRACT:

Introduction and hypothesis

Previous studies have found high prevalence rates of anxiety and depression in women with urinary incontinence (UI). This study investigates the prevalence in women who had turned to eHealth for treatment of UI and identifies possible factors associated with depression.

Methods

We analyzed data from two randomized controlled trials evaluating eHealth treatment for UI, including 373 women with stress UI (SUI), urgency UI (UUI), or mixed UI (MUI). We used the Hospital Anxiety and Depression Scale (HADS) and defined a score of ?8 as depression or anxiety. The ICIQ-UI-SF questionnaire was used to score incontinence severity. Logistic regression was used to determine factors associated with depression and anxiety.

Results

Women with UUI or MUI were older than women with SUI, mean age 58.3 vs 48.6 years (p?=?<0.001). Four out of five participating women had a university education. The prevalence of anxiety and depression in women with SUI was 12.4% and 3.2% respectively. In women with MUI/UUI, 13.8% had anxiety and 10.6% had depression. In multivariate analyses, the odds ratio of having depression was 4.2 (95% CI?=?1.4-12.3) for women with MUI/UUI compared with SUI when controlling for other risk factors.

Conclusion

The odds of depression in women with MUI/UUI were increased compared with SUI. The prevalence of anxiety and depression was considerably lower than reported in large cross-sectional surveys. Socioeconomic differences may partly explain this finding, as the use of eHealth still is more common among highly educated women.

SUBMITTER: Hansson Vikstrom N

PROVIDER: S-EPMC7788012 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Anxiety and depression in women with urinary incontinence using E-health.

Hansson Vikström Nils N Wasteson Elisabet E Lindam Anna A Samuelsson Eva E

International urogynecology journal 20200224 1

<h4>Introduction and hypothesis</h4>Previous studies have found high prevalence rates of anxiety and depression in women with urinary incontinence (UI). This study investigates the prevalence in women who had turned to eHealth for treatment of UI and identifies possible factors associated with depression.<h4>Methods</h4>We analyzed data from two randomized controlled trials evaluating eHealth treatment for UI, including 373 women with stress UI (SUI), urgency UI (UUI), or mixed UI (MUI). We used ...[more]

PMID: 32095954

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Project description:BackgroundQuality of life (QoL) in women with urinary incontinence (UI) is mainly affected by UI severity, but it is also affected by the UI subtype, comorbidities, age, and socioeconomic status. e-Health is a new method for providing UI treatment. This study aimed to identify factors with the highest impact on QoL in women that turned to e-health for UI self-management.MethodsWe analysed data from three randomized controlled trials (RCTs) that evaluated e-health treatments for UI. We included baseline data for 373 women with stress urinary incontinence (SUI) and 123 women with urgency/mixed UI (UUI/MUI). All participants were recruited online, with no face-to-face contact. Participants completed two questionnaires: the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF, range: 0-21 points), for assessing UI severity, and the ICIQ Lower Urinary Tract Symptoms Quality of Life (ICIQ-LUTSqol, range: 19-76 points), for assessing condition-specific quality of life (QoL). To identify factors that impacted QoL, we constructed a linear regression model.ResultsThe mean ICIQ-LUTSqol score was 34.9 (SD 7.6). UI severity significantly affected QoL; the adjusted mean ICIQ-LUTSqol score increased by 1.5 points for each 1.0-point increase in the overall ICIQ-UI SF score (p < 0.001). The UI type also significantly affected QoL; the adjusted mean ICIQ-LUTSqol score was 2.5 points higher in women with UUI/MUI compared to those with SUI (p < 0.001).ConclusionsWe found that women that turned to e-health for UI self-management advice had a reduced QoL, as shown previously among women seeking UI care through conventional avenues, and that the severity of leakage had a greater impact on QoL than the type of UI. Condition-specific factors impacted the QoL slightly less among women that turned to e-health, compared to women that sought help in ordinary care. Thus, e-health might have reached a new group of women in need of UI treatment.

Project description:PURPOSE:We examined how mental health measures, sleep and physical function are associated with the presence and type of urinary incontinence and severity in women seeking treatment for lower urinary tract symptoms. MATERIALS AND METHODS:This baseline cross-sectional analysis was performed in treatment seeking women with lower urinary tract symptoms. All participants completed the LUTS (Lower Urinary Tract Symptoms) Tool (Pfizer, New York, New York), which was used to classify women based on urinary incontinence symptoms and measure severity. The PROMIS (Patient-Reported Outcomes Measurement Information System) questionnaire for depression, anxiety, sleep disturbance and physical function, the PSS (Perceived Stress Scale) and the IPAQ-SF (International Physical Activity Questionnaire Short Form) were administered. Multivariable regression modeling was done to assess associations with urinary symptom presence, type and severity. RESULTS:We studied 510 women with a mean ± SD age of 56 ± 14 years. Of the women 82% were Caucasian, 47% were obese and 14% reported diabetes. Urinary incontinence was reported by 420 women (82.4%), including stress urinary incontinence in 70, urgency urinary incontinence in 85, mixed urinary incontinence in 240 and other urinary incontinence in 25. On adjusted analyses there was no difference in any mental health, sleep or physical function measure based on the presence vs the absence of urinary incontinence. Among women with urinary incontinence PROMIS anxiety and sleep disturbance scores were higher in those with mixed urinary incontinence than stress urinary incontinence. Increasing urinary incontinence severity was associated with higher PROMIS depression and anxiety scores, and higher PSS scores. However, higher urinary incontinence severity was not associated with a difference in sleep or physical function. CONCLUSIONS:Among treatment seeking women with lower urinary tract symptoms, increasing urinary incontinence severity rather than the presence or type of urinary incontinence was associated with increased depression, anxiety and stress.

Dataset Information

Anxiety and depression in women with urinary incontinence using E-health.

Introduction and hypothesis

Methods

Results

Conclusion

Publications

Anxiety and depression in women with urinary incontinence using E-health.

Similar Datasets

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