Significance of Overactive Bladder as a Predictor of Falls in Community Dwelling Older Adults: 1-Year Followup of the Sukagawa Study.


Journal

The Journal of urology
ISSN: 1527-3792
Titre abrégé: J Urol
Pays: United States
ID NLM: 0376374

Informations de publication

Date de publication:
Jan 2021
Historique:
pubmed: 29 8 2020
medline: 20 2 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

Little is known about the fall risk of older adults with overactive bladder, especially in the absence of urgency incontinence. We evaluated the impacts of overactive bladder with and without urgency incontinence (overactive bladder wet and overactive bladder dry) on the fall risk in older adults, and investigated the importance of overactive bladder as a predictor of falls by using tree based models. This prospective cohort study included 630 community dwelling, independent older adults 75 years old or older who attended a health checkup in 2017 with a 1-year followup. The associations of overactive bladder dry and overactive bladder wet with a fall history, and future fall risk compared to no overactive bladder were assessed using logistic regression models. The contribution of overactive bladder as a predictor of falls was examined using a random forest and decision tree approach. Of the 577 analyzed participants (median age 79 years), 273 (47%) were men. The prevalence of overactive bladder dry and overactive bladder wet at baseline was 15% and 14%, respectively. Multivariable logistic regression analysis revealed that both overactive bladder dry and overactive bladder wet were associated with a higher likelihood of prior falls (adjusted ORs vs no overactive bladder 2.03 and 2.21, respectively; 95% CI 1.23-3.37 and 1.29-3.78, respectively). Among the 363 participants without a fall history, the adjusted ORs (95% CIs) of overactive bladder dry and overactive bladder wet for the occurrence of falls during the 1-year followup were 2.74 (1.19-6.29) and 1.35 (0.47-3.87), respectively. The tree based approach used for all participants showed that overactive bladder was an important predictor of falls in adults without a fall history, and the model had 83.6% accuracy and 81.8% AUC. Overactive bladder, even in the absence of urgency incontinence, is an important predictor of falls in older adults with a low absolute fall risk.

Identifiants

pubmed: 32856986
doi: 10.1097/JU.0000000000001344
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

219-225

Auteurs

Kenji Omae (K)

Department of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, Fukushima, Japan.
Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of Healthcare Epidemiology, Kyoto University School of Public Health in the Graduate School of Medicine, Kyoto, Japan.
Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.

Noriaki Kurita (N)

Department of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, Fukushima, Japan.
Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima, Japan.

Taro Takeshima (T)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Shirakawa STAR for General Medicine, Fukushima Medical University, Fukushima, Japan.

Toru Naganuma (T)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of Healthcare Epidemiology, Kyoto University School of Public Health in the Graduate School of Medicine, Kyoto, Japan.

Sei Takahashi (S)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of Healthcare Epidemiology, Kyoto University School of Public Health in the Graduate School of Medicine, Kyoto, Japan.

Takashi Yoshioka (T)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of Healthcare Epidemiology, Kyoto University School of Public Health in the Graduate School of Medicine, Kyoto, Japan.

Tsuyoshi Ohnishi (T)

Department of Nephrology, Kasukabe Central General Hospital, Saitama, Japan.

Fumihito Ito (F)

Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima, Japan.
Department of Emergency Medicine, International University of Health and Welfare, Chiba, Japan.

Sugihiro Hamaguchi (S)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Department of General Internal Medicine, Fukushima Medical University, Fukushima, Japan.

Shunichi Fukuhara (S)

Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan.
Shirakawa STAR for General Medicine, Fukushima Medical University, Fukushima, Japan.
Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

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Classifications MeSH