Figures
Abstract
Background
Overactive bladder (OAB) is a significant public health issue that adversely affects the quality of life of patients and imposes a significant socioeconomic burden, with varying prevalence rates across study populations in Chinese women. A systematic review and meta-analysis were conducted to estimate the prevalence of OAB in Chinese women.
Methods
Relevant published articles on the prevalence of OAB in Chinese women were searched through July 21, 2022, using PubMed, EMbase, The Cochrane Library, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), WanFang Data, and VIP databases. After the independent screening of articles, data extraction, and quality assessment of included studies by two investigators, a meta-analysis was performed using Stata 16.0 software, and the prevalence was determined using a random-effects model. To identify potential sources of heterogeneity, subgroup analyses were conducted with subgroup categories including age, Body Mass Index (BMI), region, and survey year. Publication bias was assessed by visually examining the funnel plot and Egger’s test.
Results
Twenty studies were included in this meta-analysis. The results of the random-effects model indicated that the prevalence of OAB in Chinese women was 14% (95% Confidence Interval: 9%–18%). The prevalence increased significantly in the past decade (from 8% in pre-2006 to 18% in 2016–2021). A prevalence (18%) was observed among women aged 31–40 compared with other age groups. The BMI range of 24–27.9 (18%) was higher than the other groups. Additionally, the prevalence of this BMI range was comparatively higher in North China and Southwest China (21%) than in Central China and East China. In addition, publication bias was observed.
Citation: Huang S, Guo C, Tai S, Ding H, Mao D, Huang J, et al. (2023) Prevalence of overactive bladder in Chinese women: A systematic review and meta-analysis. PLoS ONE 18(12): e0290396. https://doi.org/10.1371/journal.pone.0290396
Editor: Sebastien Kenmoe, University of Buea, CAMEROON
Received: May 1, 2023; Accepted: August 7, 2023; Published: December 21, 2023
Copyright: © 2023 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: https://doi.org/10.6084/m9.figshare.23648928.v1.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: AHRQ, Agency for Healthcare Research and Quality; BMI, Body Mass Index; CBM, China Biology Medicine; CI, Confidence Interval; CNKI, China National Knowledge Infrastructure; OAB, overactive bladder; QOL, quality of life
Introduction
Overactive bladder (OAB) refers to a group of bladder diseases characterized by urinary urgency, nocturia, and urinary frequency with or without urge incontinence. OAB seriously impacts individuals’ lives, and many patients are compelled to reduce their water intake to manage OAB [1]. However, OAB affects the patient’s psychology, employment, familial relationships, body, and sexual life to varying degrees and should be given due attention by doctors and patients. According to studies, the prevalence of OAB in women aged 18 years and above varies widely, ranging from approximately 17% to 43% in Europe and the United States [2–6] to approximately 1.9% to 53.8% in Asia [7–11]. Relevant reports have also demonstrated that OAB affects patients’ quality of life (QOL) and incurs high medical costs [12]. There may be many OAB patients in China’s enormous population, and reliable estimates of OAB prevalence are necessary. This estimate may have implications for management and prevention. Owing to China’s enormous population, even modest advancements in OAB prevention management can significantly improve the health of the population. The current situation of domestic research on OAB is not systematically reviewed in the Chinese mainland; recent research on OAB focuses primarily on the effects of various treatment interventions on OAB. Common interventions are mainly drug therapy, including anticholinergics, β3-adrenoreceptor agonists, and off-label use of antidepressants in some cases [13–15]. Treating menopausal genitourinary syndrome with estrogen has also depicted promise for OAB [16]. It has been demonstrated that botulinum toxin bladder injection, tibial nerve stimulation, and acupuncture are effective treatment options [17–19]. Unfortunately, there is a lack of data on the prevalence of OAB among women in mainland China. Therefore, we performed a systematic review and meta-analysis to reliably estimate the prevalence and epidemiological characteristics of OAB among Chinese women.
Methods
Protocol and registration
This systematic review and meta-analysis protocol was registered in INPLASY (registration number: INPLASY202320047) and conducted according to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Search strategy
Relevant published articles on the prevalence of OAB in Chinese women were searched in PubMed, EMbase, the Cochrane Library, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), WanFang Data, and VIP databases. The retrieval method primarily relies on a combination of subject and free words. The retrieval time limit was from the inception of the database through July 21, 2022, and publication time was unrestricted. The search terms included China, Chinese, female, woman, women, overactive bladder, detrusor hyperactivity, detrusor hyperfunction, prevalence, and epidemiology. All field and medical subject heading (MeSH) terms were utilized in the PubMed database search, with Boolean operators (OR, AND, and NOT) used to join key terms. An example of the search strategy for PubMed is presented in Table 1. Other databases were referenced to the retrieval strategy of PubMed. No language restrictions were imposed, and translations were sought where necessary.
Study selection and data extraction
All published studies investigating the prevalence of OAB in Chinese women, irrespective of age or race, were included. The outcome measure was OAB prevalence. Multiple publications, meta-analyses, systematic reviews, conference papers, animal studies, and studies that lacked original data were excluded.
The articles were independently screened for inclusion and exclusion criteria by two investigators (HD and DM). Subsequently, the data of the included articles were extracted for cross-checking. In the event of disagreement, a third party (ST) was consulted for adjudication. Information about the article, such as title, author, year of publication, study type, time of the study, area of study, study subjects and sources, age, Body Mass Index (BMI), diagnostic criteria, sample size, and prevalence.
Quality assessment
The quality evaluation criteria for cross-sectional studies, comprising 11 items as recommended by the Agency for Healthcare Research and Quality (AHRQ), were utilized to assess the quality of the articles. A score of 0 points will be assigned to responses categorized as "No" or "Unclear", while a score of 1 point will be assigned to responses categorized as "Yes" [20]. The quality of the literature was positively correlated with the score, such that a higher score indicated higher quality. The quality assessment mentioned above was evaluated through a discussion between two researchers. The evaluation was performed by two investigators (HD and DM), with a third party (ST) acting as an adjudicator in case of any disagreement. Scores ≤ 5 were considered low quality [20].
Data analysis
Meta-analysis was conducted using Stata 16.0 software. Heterogeneity among the results of the included studies was analyzed using the Q test (test level: α = 0.1). The magnitude of heterogeneity was quantitatively evaluated using I2. According to I2 statistics, heterogeneity was categorized as low (less than 25%), moderate (25%–75%), and high (more than 75%) [21]. The prevalence of OAB in Chinese women was calculated using a random-effects model. Potential sources of heterogeneity were identified through subgroup analyses, with the subgroup categories comprising age, BMI, region, and survey year. Age was categorized as ≤ 30 and > 60 years, whereas the remaining age groups were classified by decade. Nutritional status was evaluated and grouped based on BMI, as follows: underweight (BMI < 18.5), normal weight (BMI = 18.5–23.9), overweight (BMI = 24–27.9), and obesity (BMI ≥ 28). The provinces of China were divided into seven regions: Northeast China, East China, North China, Central China, South China, Southwest China, and Northwest China. The survey years were grouped as: < 2006, 2006–2010, 2011–2015, and 2016–2021. If grouped data on subgroup categories were not available, they were excluded. Publication bias was assessed by visually examining the funnel plot and using Egger’s test. P < 0.05 was considered statistically significant.
Results
A flowchart of the study selection process is presented in Fig 1. In total 199 articles were retrieved from our preliminary search. After title and abstract screening, 163 articles were eliminated. Subsequently, 16 articles were excluded for various reasons, resulting in 20 eligible articles included in the analysis based on the predetermined inclusion and exclusion criteria [7–9, 22–38].
The characteristics of the 20 included studies are presented in Table 2. These studies were published between 2006 and 2021. Seven of the 20 studies were conducted in North China, five in East China, three in Central China, and one in Southwest China. The included studies had cross-sectional designs. The quality scores of all studies were higher than 5, and the overall quality of the included studies was acceptable.
A total of 54730 individuals were included in the study, with each study’s sample size ranging from 70 to 12701. The prevalence of OAB ranged from 1.9% to 32% (Table 2). The OAB prevalence of 14% [95% Confidence Interval (CI): 0.09–0.018] in Chinese women was demonstrated by the random-effects model (Fig 2). A random-effects model was used to estimate the pooled prevalence of OAB, owing to the considerable heterogeneity observed among the studies. The heterogeneity level was 99.82%. This type of meta-analysis is constrained by high heterogeneity, which is an unavoidable aspect of meta-analyses aimed at estimating pooled prevalence [39].
Additionally, a high degree of heterogeneity was observed in the meta-analysis. The prevalence of OAB among Chinese women was significantly associated with various factors, such as age, BMI, region, and survey year (p < 0.001). Age, BMI, region, and survey year were analyzed in subgroup analyses to assess the potential origin of heterogeneity and the associations between the explanatory variables at the study level and the pooled estimate. The results of subgroup analysis of different age groups demonstrated that the highest prevalence was found in the 31-40-year-old group, which was 18% (95% CI: 0.08–0.28), which was higher than the ≤ 30-year-old group (13%, 95% CI: 0.07–0.20), the 51-60-year-old group (12%, 95% CI: 0.10–0.14), and the > 60-year-old group (11%, 95% CI: 0.02–0.21) and 41-50-year-old group (7%, 95% CI: 0.06–0.08). The results of subgroup analysis of different BMI segments demonstrated that the highest prevalence of 18% (95% CI: 0.05–0.31) was for the 18.5–23.9 group, which was higher than the < 18.5 group (13%, 95% CI: 0.08–0.13), the ≥ 28 group (11%, 95% CI: 0.07–0.16), and the 24–27.9 groups (10%, 95% CI: 0.05–0.31). The results of subgroup analysis in different regions displayed that the prevalence of OAB in North China and Southwest China was the highest (21%, 95% CI: 0.13–0.30; 21%, 95% CI: 0.12–0.31, respectively). The prevalence of OAB in Central China was 12% (95% CI: 0.05–0.20), while in East China, it was 6% (95% CI: 0.02–0.14). The results of subgroup analysis of different survey years demonstrated that the prevalence of OAB in < 2006 was 8% (95% CI: 0.07–0.09), 2006–2010 was 10% (95% CI: 0.02–0.22), 2011–2015 was 14% (95% CI: 0.08–0.19), and 2016–2021 was 18% (95% CI: 0.08–0.26). The subgroup analysis demonstrated that heterogeneity was not eliminated (Table 3, S1–S4 Figs).
A sensitivity analysis was conducted by sequentially excluding each study from the meta-analytic model owing to high heterogeneity. This finding depicted no substantial changes in the prevalence of OAB among Chinese women (S5 Fig). Publication bias was assessed by visually examining the funnel plot and using Egger’s test. The marked asymmetry in the funnel plot suggested publication bias (Fig 3), which was supported by the results of Egger’s test (p<0.001) (S6 Fig).
Discussion
This systematic review and meta-analysis aimed to estimate the prevalence of OAB in Chinese women, delineate the epidemiological characteristics of OAB in Chinese women and identify the various characteristics of OAB in Chinese women. First, the prevalence of overactive bladder in Chinese women was 14% (95% CI: 9%–18%). It was also observed that the prevalence of OAB has significantly increased over the past decade, from 8% before 2006 to 18% at present. Second, a higher prevalence was observed among women aged 31–40 compared to the other age groups. Third, the prevalence of OAB was higher in the group with a BMI ranging from 24–27.9 than in other groups. Lastly, it was observed that North China and Southwest China exhibited greater OAB prevalence than Central China and East China.
A higher prevalence of OAB (18%, 95% CI: 8%–28%) was observed in the subgroup of women aged 31–40 compared to other age groups, as revealed by the subgroup analysis. However, the findings of the present study contradict the aforementioned research. Age is a well-known risk factor [40–42]. Studies conducted by Donaldson MM and Lightner DJ that the prevalence of OAB increases with age; however, aging does not seem to be considered one of the primary risk factors for OAB in Chinese women in our study [43, 44]. Several studies have demonstrated a higher incidence of symptoms in women due to reduced estrogen levels resulting from the postmenopausal state [16, 40, 45]. The results indicated that the highest prevalence of OAB was observed in the age group of 31–40 years old, although the reasons for the observed differences remain unclear. One possible reason could be the pressure exerted by marriage, family, and work [25, 46]. Some scholars have proposed the bladder-gut-brain axis theory, which suggests that urinary system and gastrointestinal tract-related symptoms may be caused by mental factors such as mental stress [47] and negative emotions [48, 49]. Additionally, multiple studies have pointed out that the occurrence of OAB is related to tract infections [50–52]. Khan Zainab’s research confirmed that patients with OAB symptoms have significant bacterial growth on enhanced urine culture, which is often undetectable through routine culture, suggesting the possibility of subclinical infection [53]. A higher likelihood of tract infection was observed in sexually active women. This may explain why Chinese women ages 31–40 are more susceptible to overactive bladders.
Based on the regions studied, we divided the studies into those conducted in North China, East China, Central China, and Southwest China. The prevalence was higher in North and Southwest China than in East and Central China, with only one study being conducted in Southwest China. However, the prevalence in men in South China was higher than that in women in South China (26.19% vs. 17.95%), whereas the prevalence in North China was the opposite (12.22% vs. 24.61%). Differences in the prevalence of OAB in China may be attributed to dietary habits. The climate in North China is dry and cold, whereas that in Southwest China is humid and cold. The consumption of alcohol and spices, such as pepper, is preferred by residents in these regions [40, 54–56], which may also be the reason for the different results. However, the specific mechanisms underlying this variation remain unclear.
Our study obtained results that differed from those of previous studies. The incidence rate was even lower in the BMI ≥ 28 group than in the BMI 18.5–23.9 and 24–27.9 groups. Previous studies have found a significant, positive correlation between BMI and the prevalence of OAB [57–62]; however, all of these studies are epidemiological in nature and therefore provide only subjective evidence for this relationship. Tariq F. Al-Shaiji confirmed that there was no significant correlation between OAB and any BMI category for most urodynamic study parameters.
In addition, China faces challenges both now and in the future. China is the most populous country in the world; therefore, even if the incidence of OAB remains constant, the number of OAB patients will continue to rise. In the United States, the cost of medical care for patients with OAB was greater than 2.5 times that of patients without OAB [63]. Furthermore, patients with OAB and chronic age-related comorbidities have higher medical costs than non-OAB controls with the same comorbidities. However, samples from the general population may underestimate the prevalence of OAB, which necessitates the development of more efficient screening methods.
This study had some limitations. First, there was still evidence of heterogeneity across studies, even though subgroup analyses were performed, which suggested that age, BMI, region, and survey year were not the main sources of heterogeneity. Second, heterogeneity was relatively high across all analyses; however, the degree of interpretability was minimal. Regarding publication bias, it is mainly due to relevant published articles that we identified were observational studies prone to bias. However, the main strength of this study is that most of the included studies had large sample sizes. Two researchers independently extracted data from the articles and reviewed them for accuracy.
Conclusions
Over the past 20 years, the incidence of OAB has increased in Chinese women over the past 20 years, affecting more than 20% of women aged 31–40 years and older. The prevalence of OAB was not positively correlated with age and BMI. Given the increasing incidence of OAB, preventive and control measures have become even more critical.
Supporting information
S1 Checklist. PRISMA 2009 checklist used in this meta-analysis.
https://doi.org/10.1371/journal.pone.0290396.s001
(DOCX)
S1 Fig. Forest plot for the age subgroup analysis of the prevalence of OAB in Chinese women.
https://doi.org/10.1371/journal.pone.0290396.s002
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S2 Fig. Forest plot for the BMI subgroup analysis of the prevalence of OAB in Chinese women.
https://doi.org/10.1371/journal.pone.0290396.s003
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S3 Fig. Forest plot for the region subgroup analysis of the prevalence of OAB in Chinese women.
https://doi.org/10.1371/journal.pone.0290396.s004
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S4 Fig. Forest plot for the survey year subgroup analysis of the prevalence of OAB in Chinese women.
https://doi.org/10.1371/journal.pone.0290396.s005
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S5 Fig. Sensitivity analyses for the meta-analysis of the prevalence of OAB in Chinese women.
https://doi.org/10.1371/journal.pone.0290396.s006
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S6 Fig. Egger’s test suggests publication bias.
https://doi.org/10.1371/journal.pone.0290396.s007
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Acknowledgments
We would like to thank all the authors in this study. We acknowledge the contribution of the participants. We thank Home for Researchers editorial team (www.home-for-researchers.com) for language editing service.
References
- 1. Haylen BT, de Ridder D, Freeman RM, et al. An International Urogynecological Association (IUGA)/International Continence Society (ICS) joint report on the terminology for female pelvic floor dysfunction. Int Urogynecol J. 2010. 21(1): 5–26. pmid:19937315
- 2. Stewart WF, Van Rooyen JB, Cundiff GW, et al. Prevalence and burden of overactive bladder in the United States. World J Urol. 2003. 20(6): 327–36. pmid:12811491
- 3. Temml C, Heidler S, Ponholzer A, Madersbacher S. Prevalence of the overactive bladder syndrome by applying the International Continence Society definition. Eur Urol. 2005. 48(4): 622–7. pmid:15964133
- 4. Coyne KS, Sexton CC, Vats V, Thompson C, Kopp ZS, Milsom I. National community prevalence of overactive bladder in the United States stratified by sex and age. Urology. 2011. 77(5): 1081–7. pmid:21256571
- 5. Coyne KS, Sexton CC, Bell JA, et al. The prevalence of lower urinary tract symptoms (LUTS) and overactive bladder (OAB) by racial/ethnic group and age: results from OAB-POLL. Neurourol Urodyn. 2013. 32(3): 230–7. pmid:22847394
- 6. Przydacz M, Golabek T, Dudek P, Lipinski M, Chlosta P. Prevalence and bother of lower urinary tract symptoms and overactive bladder in Poland, an Eastern European Study. Sci Rep. 2020. 10(1): 19819. pmid:33188254
- 7. Wang Y, Xu K, Hu H, et al. Prevalence, risk factors, and impact on health related quality of life of overactive bladder in China. Neurourol Urodyn. 2011. 30(8): 1448–55. pmid:21826714
- 8. Wen JG, Li JS, Wang ZM, et al. The prevalence and risk factors of OAB in middle-aged and old people in China. Neurourol Urodyn. 2014. 33(4): 387–91. pmid:23765684
- 9. Chuang YC, Liu SP, Lee KS, et al. Prevalence of overactive bladder in China, Taiwan and South Korea: Results from a cross-sectional, population-based study. Low Urin Tract Symptoms. 2019. 11(1): 48–55. pmid:28967230
- 10. Liu SP, Chuang YC, Sumarsono B, Chang HC. The prevalence and bother of lower urinary tract symptoms in men and women aged 40 years or over in Taiwan. J Formos Med Assoc. 2019. 118(1 Pt 1): 170–178. pmid:29655606
- 11. Al Edwan G, Abdelazim MS, Salhab SE, Jamal YM, Soliman MA. The Prevalence of Overactive Bladder Symptoms in Women in Algeria, Egypt, Jordan and Lebanon: A Cross-Sectional Population-Based Survey. Adv Ther. 2021. 38(2): 1155–1167. pmid:33354738
- 12. Duperrouzel C, Martin C, Mendell A, et al. Healthcare and economic burden of anticholinergic use in adults with overactive bladder: a systematic literature review. J Comp Eff Res. 2022;11(18):1375–1394. pmid:36354285
- 13. Deeks ED (2018) Mirabegron: A Review in Overactive Bladder Syndrome. Drugs 78(8):833–844. pmid:29869204
- 14. Mitcheson HD et al (2019) Vibegron (RVT-901/MK-4618/KRP-114V) Administered Once Daily as Monotherapy or Concomitantly with Tolterodine in Patients with an Overactive Bladder: A Multicenter, Phase IIb, Randomized, Double-blind, Controlled Trial. Eur Urol 75(2):274–282. pmid:30661513
- 15. (2023) Drugs for overactive bladder. Med Lett Drugs Ther 65(1672):41–45.
- 16. Robinson D et al (2014) Oestrogens and overactive bladder. Neurourol Urodyn 33(7):1086–1091. pmid:23868110
- 17. Hargreaves E et al (2022) Acupuncture for treating overactive bladder in adults. Cochrane Database Syst Rev 9(9):CD013519. pmid:36148895
- 18. Duthie JB et al (2011) Botulinum toxin injections for adults with overactive bladder syndrome. Cochrane Database Syst Rev (12):CD005493. pmid:22161392
- 19. Cartwright R, Khullar V (2010) Clinical trials: percutaneous tibial nerve stimulation for overactive bladder. Nat Rev Urol 7(4):181–182. pmid:20383182
- 20. Rostom A. et al. Celiac disease. Evid Rep Technol Assess (Summ) 1–6 (2004). pmid:15346868
- 21. Ades AE, Lu G, Higgins JP. The interpretation of random-effects meta-analysis in decision models. Med Decis Making. (2005) 25:646–54. pmid:16282215
- 22. Hu Y, Zhu W. Investigation and analysis of urination behavior and symptoms of overactive bladder among midwives. General Nursing.
- 23. Wang Y, Xu K, Hu H, Zhang X, Wang X. Epidemiological investigation of overactive bladder in women over 40 years old in Beijing and its impact on quality of life.
- 24. Zhang W, Song Y, He X, Huang H, Xu B, Song J. Prevalence and risk factors of overactive bladder syndrome in Fuzhou Chinese women. Neurourol Urodyn. 2006. 25(7): 717–21. pmid:16944449
- 25. Zhang C, Hai T, Yu L, et al. Association between occupational stress and risk of overactive bladder and other lower urinary tract symptoms: a cross-sectional study of female nurses in China. Neurourol Urodyn. 2013. 32(3): 254–60. pmid:22903277
- 26. Liu Y. Current status of lower urinary tract symptoms in female nurses and their relationship with urination behavior, 2013.
- 27. Chen Y, Yu W, Yang Y, et al. Association between overactive bladder and peri-menopause syndrome: a cross-sectional study of female physicians in China. Int Urol Nephrol. 2015. 47(5): 743–9. pmid:25838031
- 28. Zhu L, Cheng X, Sun J, et al. Association between Menopausal Symptoms and Overactive Bladder: A Cross-Sectional Questionnaire Survey in China. PLoS One. 2015. 10(10): e0139599. pmid:26448626
- 29. Chen L, Liu N, Li J, Wang X, Wang K. Investigation and analysis of current situation and influencing factors of lower urinary tract symptoms in female nurses. Journal of Nursing Training. 2015;30(20):5.
- 30. Liao Y, Zhou J, Du J, Zhang Y. Investigation and analysis of risk factors of overactive bladder in middle-aged and elderly people. Journal of Clinical Urology. 2015;30(9):4.
- 31. An F, Yang X, Wang YJ, Chen JY, Wang JL. OAB epidemiological survey of general gynaecology outpatients and its effects on patient quality of life. Neurourol Urodyn. 2016. 35(1): 29–35. pmid:25307534
- 32. Wu JW, Xing YR, Wen YB, et al. Prevalence of Spina Bifida Occulta and Its Relationship With Overactive Bladder in Middle-Aged and Elderly Chinese People. Int Neurourol J. 2016. 20(2): 151–8. pmid:27377948
- 33. Wu NX, Cheng WJ, Wang PL, Sun XL, Wang JL. Investigation and analysis of cognition of lower urinary tract symptoms in gynecological outpatients. Chinese Journal of Obstetrics and Gynecology. 2017;18(6):3.
- 34. Hu Z. Analysis of the current situation and influencing factors of OAB among female nurses in a tertiary hospital in Qiqihar city, 2018.
- 35. Xu D, Zhu S, Li H, Gao J, Mou H, Wang K. Relationships among occupational stress, toileting behaviors, and overactive bladder in nurses: A multiple mediator model. J Adv Nurs. 2019. 75(6): 1263–1271. pmid:30585354
- 36. Xing D, Wang YH, Wen YB, et al. Prevalence and risk factors of overactive bladder in Chinese children: A population-based study. Neurourol Urodyn. 2020. 39(2): 688–694. pmid:31804751
- 37. Liang Y, Hu H, Zhang Z, Dou Q, Song C, Lu C. Prevalence status of overactive bladder in female college freshmen and its influence on psychology. Chinese Journal of Urology. 2020;41(12):5.
- 38. Wu H, Xiao G. Research on the status and influencing factors of overactive bladder among female nurses in operating room. Modern Medicine. 2020;36(16):3.
- 39. Imrey PB. Limitations of Meta-analyses of Studies With High Heterogeneity. JAMA Netw Open. (2020) 3:e1919325. pmid:31922554
- 40. Willis-Gray MG, Dieter AA, Geller EJ. Evaluation and management of overactive bladder: strategies for optimizing care. Res Rep Urol. 2016. 8: 113–22. pmid:27556018
- 41. Leron E, Weintraub AY, Mastrolia SA, Schwarzman P. Overactive Bladder Syndrome: Evaluation and Management. Curr Urol. 2018. 11(3): 117–125. pmid:29692690
- 42. Kreydin EI, Gomes CM, Cruz F. Current pharmacotherapy of overactive bladder. Int Braz J Urol. 2021. 47(6): 1091–1107. pmid:34003613
- 43. Donaldson MM, Thompson JR, Matthews RJ, Dallosso HM, McGrother CW. The natural history of overactive bladder and stress urinary incontinence in older women in the community: a 3-year prospective cohort study. Neurourol Urodyn. 2006. 25(7): 709–16. pmid:16998862
- 44. Lightner DJ, Gomelsky A, Souter L, Vasavada SP. Diagnosis and Treatment of Overactive Bladder (Non-Neurogenic) in Adults: AUA/SUFU Guideline Amendment 2019. J Urol. 2019. 202(3): 558–563. pmid:31039103
- 45. Peyronnet B, Mironska E, Chapple C, et al. A Comprehensive Review of Overactive Bladder Pathophysiology: On the Way to Tailored Treatment. Eur Urol. 2019. 75(6): 988–1000. pmid:30922690
- 46. Stefaniak AR, Blaxton JM, Bergeman CS (2022) Age Differences in Types and Perceptions of Daily Stress. Int J Aging Hum Dev 94(2):215–233. pmid:33739147
- 47. Lai H, Gardner V, Vetter J, Andriole GL. Correlation between psychological stress levels and the severity of overactive bladder symptoms. BMC Urol. 2015. 15: 14. pmid:25887525
- 48. Steers WD. Pathophysiology of overactive bladder and urge urinary incontinence. Rev Urol. 2002. 4 Suppl 4(Suppl 4): S7–S18. pmid:16986023
- 49. Leue C, Kruimel J, Vrijens D, Masclee A, van Os J, van Koeveringe G. Functional urological disorders: a sensitized defence response in the bladder-gut-brain axis. Nat Rev Urol. 2017. 14(3): 153–163. pmid:27922040
- 50. Nik-Ahd F, Lenore Ackerman A, Anger J (2018) Recurrent Urinary Tract Infections in Females and the Overlap with Overactive Bladder. Curr Urol Rep 19(11):94. pmid:30215140
- 51. Balachandran AA et al (2016) Is chronic urinary infection a cause of overactive bladder. Eur J Obstet Gynecol Reprod Biol 201:108–112. pmid:27088624
- 52. Ke QS, Lee CL, Kuo HC (2021) Recurrent urinary tract infection in women and overactive bladder—Is there a relationship. Tzu Chi Med J 33(1):13–21. pmid:33505873
- 53. Khan Z et al (2021) Chronic Urinary Infection in Overactive Bladder Syndrome: A Prospective, Blinded Case Control Study. Front Cell Infect Microbiol 11:752275. pmid:34660348
- 54. Abrams P, Kelleher CJ, Kerr LA, Rogers RG. Overactive bladder significantly affects quality of life. Am J Manag Care. 2000. 6(11 Suppl): S580–90. pmid:11183901
- 55. de Boer TA, Slieker-ten Hove MC, Burger CW, Vierhout ME. The prevalence and risk factors of overactive bladder symptoms and its relation to pelvic organ prolapse symptoms in a general female population. Int Urogynecol J. 2011. 22(5): 569–75. pmid:21104400
- 56. Gleason JL, Richter HE, Redden DT, Goode PS, Burgio KL, Markland AD. Caffeine and urinary incontinence in US women. Int Urogynecol J. 2013. 24(2): 295–302. pmid:22699886
- 57. Burgio KL, Matthews KA, Engel BT. Prevalence, incidence and correlates of urinary incontinence in healthy, middle-aged women. J Urol. 1991. 146(5): 1255–9. pmid:1942274
- 58. Mommsen S, Foldspang A. Body mass index and adult female urinary incontinence. World J Urol. 1994. 12(6): 319–22. pmid:7881469
- 59. Brown JS, Seeley DG, Fong J, Black DM, Ensrud KE, Grady D. Urinary incontinence in older women: who is at risk? Study of Osteoporotic Fractures Research Group. Obstet Gynecol. 1996. 87(5 Pt 1): 715–21. pmid:8677073
- 60. Samsioe G, Heraib F, Lidfeldt J, et al. Urogenital symptoms in women aged 50–59 years. Women’s Health in Lund Area (WHILSA) Study Group. Gynecol Endocrinol. 1999. 13(2): 113–7. pmid:10399056
- 61. Schmidbauer J, Temml C, Schatzl G, Haidinger G, Madersbacher S. Risk factors for urinary incontinence in both sexes. Analysis of a health screening project. Eur Urol. 2001. 39(5): 565–70. pmid:11464038
- 62. Hannestad YS, Rortveit G, Daltveit AK, Hunskaar S. Are smoking and other lifestyle factors associated with female urinary incontinence? The Norwegian EPINCONT Study. BJOG. 2003. 110(3): 247–54. pmid:12628262
- 63. Durden E, Walker D, Gray S, Fowler R, Juneau P, Gooch K. The economic burden of overactive bladder (OAB) and its effects on the costs associated with other chronic, age-related comorbidities in the United States. Neurourol Urodyn. (2018) 37:1641–9. pmid:29464813