The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above
Objective: In this 3-year longitudinal cohort study, we aimed to evaluate the evolution of overactive bladder in female community residents aged 40 years and above in central Taiwan and identify its risk factors. Materials and methods: Female community residents aged 40 years and above were invited...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Taiwanese Journal of Obstetrics & Gynecology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1028455922000821 |
| _version_ | 1817991339491459072 |
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| author | Litz Huang Suh-Woan Hu Chi-Jie Lu Chi-Chang Chang Gin-Den Chen Soo-Cheen Ng |
| author_facet | Litz Huang Suh-Woan Hu Chi-Jie Lu Chi-Chang Chang Gin-Den Chen Soo-Cheen Ng |
| author_sort | Litz Huang |
| collection | DOAJ |
| description | Objective: In this 3-year longitudinal cohort study, we aimed to evaluate the evolution of overactive bladder in female community residents aged 40 years and above in central Taiwan and identify its risk factors. Materials and methods: Female community residents aged 40 years and above were invited to participate in this study and fill out a yearly Overactive Bladder Symptom Score (OABSS) questionnaire over a 3-year period. A woman was defined to have OAB if the total OABSS was ≧4 and urgency score was ≧2. At the end of the third year, the incidence, remission, persistence, and relapse of OAB in these community residents were calculated. A novel statistical analysis technique, machine learning with data mining, was applied to examine its use in this field.Five machine learning models were used to predict the risk factors associated with persistent OAB and the results were compared with the conventional logistic regression model. Results: In total, 1469 female residents were included in the first year and 1290 (87.8%) women completed the questionnaires for all 3 years. The prevalence of OAB was 20.2% (n = 260). The second- and third-year incidence rates of OAB were 13.5% and 7.1%. The remission rates were 39.6% and 44.3%. Twenty-two percent of the women reported relapse of OAB in the third year. The two-year OAB persistence rate was 43.8%. For the prediction of risk factors for persistent OAB, the multivariable logistic regression model had better predictive accuracy (AUC = 0.664) than the five machine learning models. Age ≧ 60 was associated with persistent OAB (OR 2.8; 95% CI: 1.34–5.89, P = 0.002). Conclusion: The yearly incidence, remission, and persistence rates of OAB were high in female community residents aged 40 years and above in central Taiwan. Older women had a higher risk of persistent OAB symptoms in this 3-year longitudinal cohort study. |
| first_indexed | 2024-04-14T01:12:05Z |
| format | Article |
| id | doaj.art-4e902f0b4be9416982ed72ec1a69c714 |
| institution | Directory Open Access Journal |
| issn | 1028-4559 |
| language | English |
| last_indexed | 2024-04-14T01:12:05Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Taiwanese Journal of Obstetrics & Gynecology |
| spelling | doaj.art-4e902f0b4be9416982ed72ec1a69c7142022-12-22T02:21:01ZengElsevierTaiwanese Journal of Obstetrics & Gynecology1028-45592022-05-01613479484The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and aboveLitz Huang0Suh-Woan Hu1Chi-Jie Lu2Chi-Chang Chang3Gin-Den Chen4Soo-Cheen Ng5Department of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, TaiwanInstitute of Oral Sciences, Chung Shan Medical University, Taichung, TaiwanGraduate Institute of Business Administration, Fu-Jen Catholic University, New Taipei City, Taiwan; Department of Information Management, Fu-Jen Catholic University, New Taipei City, Taiwan; Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City, TaiwanSchool of Medical Informatics, Chung Shan Medical University, Taiwan; IT Office, Chung Shan Medical University Hospital, TaiwanDepartment of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chun Shan Medical University, Taichung, TaiwanDepartment of Obstetrics and Gynecology, St. Joseph's Hospital, Yunlin County, Taiwan; Corresponding author. Department of Obstetrics and Gynecology, St. Joseph's Hospital, No.7, Xinsheng Rd., Huwei Township, Yunlin County, 63241, Taiwan. Fax: +886 5 6336333.Objective: In this 3-year longitudinal cohort study, we aimed to evaluate the evolution of overactive bladder in female community residents aged 40 years and above in central Taiwan and identify its risk factors. Materials and methods: Female community residents aged 40 years and above were invited to participate in this study and fill out a yearly Overactive Bladder Symptom Score (OABSS) questionnaire over a 3-year period. A woman was defined to have OAB if the total OABSS was ≧4 and urgency score was ≧2. At the end of the third year, the incidence, remission, persistence, and relapse of OAB in these community residents were calculated. A novel statistical analysis technique, machine learning with data mining, was applied to examine its use in this field.Five machine learning models were used to predict the risk factors associated with persistent OAB and the results were compared with the conventional logistic regression model. Results: In total, 1469 female residents were included in the first year and 1290 (87.8%) women completed the questionnaires for all 3 years. The prevalence of OAB was 20.2% (n = 260). The second- and third-year incidence rates of OAB were 13.5% and 7.1%. The remission rates were 39.6% and 44.3%. Twenty-two percent of the women reported relapse of OAB in the third year. The two-year OAB persistence rate was 43.8%. For the prediction of risk factors for persistent OAB, the multivariable logistic regression model had better predictive accuracy (AUC = 0.664) than the five machine learning models. Age ≧ 60 was associated with persistent OAB (OR 2.8; 95% CI: 1.34–5.89, P = 0.002). Conclusion: The yearly incidence, remission, and persistence rates of OAB were high in female community residents aged 40 years and above in central Taiwan. Older women had a higher risk of persistent OAB symptoms in this 3-year longitudinal cohort study.http://www.sciencedirect.com/science/article/pii/S1028455922000821FemaleOveractive bladderCommunity studyRisk factorsMachine learning |
| spellingShingle | Litz Huang Suh-Woan Hu Chi-Jie Lu Chi-Chang Chang Gin-Den Chen Soo-Cheen Ng The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above Taiwanese Journal of Obstetrics & Gynecology Female Overactive bladder Community study Risk factors Machine learning |
| title | The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above |
| title_full | The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above |
| title_fullStr | The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above |
| title_full_unstemmed | The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above |
| title_short | The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above |
| title_sort | three year evolution of overactive bladder syndrome in community dwelling female residents aged 40 years and above |
| topic | Female Overactive bladder Community study Risk factors Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S1028455922000821 |
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