PuSH - Publikationsserver des Helmholtz Zentrums München

Dasdelen, M.F. ; Dasdelen, Z.B.* ; Almas, F.* ; Cokkececi, B.* ; Laguna, P.* ; Rosette, J.d.l.* ; Koçak, M.*

Exploring the association between urinary incontinence and depression based on a series of large-scale national health studies in Türkiye.

J. Clin. Med. 14, 17:5213 (2025)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Background: Urinary incontinence (UI) and depression are prevalent conditions affecting millions globally and are significantly associated with various demographic, health, and socio-economic factors. This study examines the associations between UI and depression over a 14-year period using nationwide data. Methods: We analyzed cross-sectional data from the Turkish Health Studies Surveys conducted in seven different years between 2008 and 2022, including 125,276 participants aged 15 and older and excluding those with incomplete key health data. Variables included chronic conditions, BMI, depression severity (assessed by PHQ-8), socio-economic status, and lifestyle factors. Univariable and multivariable logistic regression models were used to investigate associations between UI and various risk factors over time. Results: The prevalence of UI and depression fluctuated over the 14 years, with a significant increase observed in 2014. Multivariate analysis confirmed a strong and consistent association between UI and depression across genders and age groups, even after adjusting for confounders. Higher depression severity increased the odds of experiencing UI. Age, multiple comorbidities, higher BMI, and lower socio-economic status were associated with an increased likelihood of UI. Obesity was a significant risk factor for UI in females but not in males. Urban living and higher education levels were inversely associated with UI. The simultaneous rise in UI and depression in 2014 may be linked to socio-economic changes during that period. Conclusions: The findings suggest a robust link between UI and depression, influenced by a complex interplay of health, demographic, and socio-economic factors, needing prospective studies to further investigate the causal pathway of these associations.
Altmetric
Weitere Metriken?
[➜Einloggen]
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Depression ; Association (psychology); Quality-of-life; Risk-factors; Women; Income; Disorders; Community; Impact; Prevalence; Symptoms; Anxiety
ISSN (print) / ISBN 2077-0383
e-ISSN 2077-0383
Zeitschrift Journal of Clinical Medicine
Quellenangaben Band: 14, Heft: 15, Seiten: 17, Artikelnummer: 5213 Supplement: ,
Verlag MDPI
Verlagsort Basel
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of AI for Health (AIH)
Förderungen Scientific and Technological Research Council of Turkey