Nevin Manimala Statistics

Addressing urinary incontinence by gender: a nationwide population-based study in Turkiye

BMC Urol. 2023 Dec 9;23(1):205. doi: 10.1186/s12894-023-01388-2.


BACKGROUND: Urinary incontinence (UI), which usually occurs in women but affects both sexes, is a significant public health challenge. This study aims to comprehensively investigate the prevalence and determinants of UI in men and women, considering gender-specific factors.

METHODS: The study performed a secondary analysis on data obtained from 13,383 individuals surveyed in the 2019 Turkish Health Survey, providing a representation of the Turkish population. The dataset included sociodemographic and health-related variables like UI, body mass index (BMI), physical activity, smoking, and chronic diseases-statistical analysis employed chi-square tests and gender-stratified logistic regression models to identify UI-associated factors.

RESULTS: Our results showed that UI affected 8.8% of the population, with a striking gender disparity. Women had a notably higher prevalence at 11.2%, while men had a lower rate of 5.5%. Importantly, this gender gap narrowed with age. For example, in the 34-44 age group, the female/male ratio was 6.9, but it decreased to 1.4 in the 65-74 age group. Marital status and employment status played significant roles. Separated, divorced, or widowed individuals, particularly women, had the highest prevalence at 19.3%. Employment status influenced UI prevalence, with employed men having the lowest rate (2.1%), while retired women faced the highest rate (15.0%). Higher BMI, especially in obese individuals, significantly raised UI prevalence, reaching 7.9% for men and 15.8% for women. Physical inactivity, notably in women (17.0%), and prolonged sedentary hours (13.9%) were associated with higher UI rates. Former smokers, especially women (15.9%), had a notable impact on UI. Poor perceived health and chronic conditions like Chronic Obstructive Pulmonary Disease (COPD), hypertension, and diabetes were significantly associated with higher UI prevalence. Logistic regression analysis revealed that age, education, perceived health status, COPD, and diabetes were significant factors associated with UI in both sexes, while in women, BMI, physical activity, and smoking also played notable roles.

CONCLUSIONS: This extensive UI study has unveiled notable gender disparities and determinants. Notably, these disparities decrease with age, underlining UI’s changing nature over time. Modifiable factors impact women more, while non-modifiable factors are linked to men. The study underscores the importance of tailoring healthcare strategies to address UI based on gender.

PMID:38071293 | DOI:10.1186/s12894-023-01388-2

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