Urinary incontinence (UI) is a common health problem that affects the quality of life and health of millions of people in the United States (US). We aimed to investigate the association between sitting time and UI symptoms in the US population.
A cross-sectional survey of participants aged 20 and above from the National Health and Nutrition Examination Survey 2007-2018 was performed. A self-report questionnaire that reported complete data on UI, sitting time and covariates was included. Weighted multivariable logistic and regression models were used to assess the association between sitting time and UI symptoms.
A total of 22,916 participants were enrolled. Prolonged sitting time was associated with urgency UI (UUI, odds ratio [OR] = 1.2, 95% confidence interval [CI] = 1.1 to 1.3, p = 0.001). Compared with patients with sitting a time shorter than 7 hours (h), moderate recreational activity modified the association between sitting time and mixed UI in males in the fully adjusted model (OR = 2.5, 95% CI = 1.4 to 4.5, p = 0.002). A sitting time over 7 h was related to mixed UI (MUI, OR = 1.6, 95% CI = 1.1 to 2.2, p = 0.01) in males, and stress UI (SUI, OR = 0.9, 95% CI = 0.8 to 0.98, p = 0.03) in females. However, no significant difference was found among the UI, SUI, and MUI groups in fully adjusted model.
A prolonged sitting time (≥7 h) was associated with UUI symptoms in all populations, SUI symptoms in females and MUI symptoms in males compared with sitting time lower than 7 h. Compared with those sit shorter than 7 h, moderate recreational activity may be a modifier between prolonged sitting and MUI symptoms in male participants, which warrants further studies for confirmation.
Heliyon. 2024 Mar 12*** epublish ***
Xingpeng Di, Chi Yuan, Liyuan Xiang, Guanbo Wang, Banghua Liao
Department of Urology, Institute of Urology (Laboratory of Reconstructive Urology), West China Hospital, Sichuan University, Chengdu, China., Department of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Department of Epidemiology, Harvard T.H. Chan School of Public Health, USA.