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PLOS One logoLink to PLOS One
. 2023 Dec 21;18(12):e0290396. doi: 10.1371/journal.pone.0290396

Prevalence of overactive bladder in Chinese women: A systematic review and meta-analysis

Shaoming Huang 1, Chuan Guo 2, Shengcheng Tai 3, Hongxiang Ding 3, Dikai Mao 3, Jiaguo Huang 3,*,#, Biao Qian 4,*,#
Editor: Sebastien Kenmoe5
PMCID: PMC10735185  PMID: 38127870

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.

Conclusions

OAB incidence has increased in Chinese women over the last two decades, affecting more than 20% of women aged 31–40 years and above. With the increasing prevalence of OAB, greater emphasis has been placed on implementing preventative and control measures.

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.

Table 1. The search strategy for PubMed.

Search number Query
#1 "China"[MeSH Terms]
#2 "Chinese"[Title/Abstract]
#3 "China"[MeSH Terms] OR "Chinese"[Title/Abstract]
#4 "Female"[MeSH Terms]
#5 "Females"[Title/Abstract] OR "Women"[Title/Abstract] OR "Girls"[Title/Abstract] OR "Girl"[Title/Abstract] OR "Woman"[Title/Abstract]
#6 "Female"[MeSH Terms] OR "Females"[Title/Abstract] OR "Women"[Title/Abstract] OR "Girls"[Title/Abstract] OR "Girl"[Title/Abstract] OR "Woman"[Title/Abstract]
#7 "urinary bladder, overactive"[MeSH Terms]
#8 "overactive bladder"[Title/Abstract] OR "overactive urinary bladder"[Title/Abstract] OR "bladder overactive"[Title/Abstract] OR "overactive detrusor"[Title/Abstract] OR "detrusor overactive"[Title/Abstract]
#9 "urinary bladder, overactive"[MeSH Terms] OR "overactive bladder"[Title/Abstract] OR "overactive urinary bladder"[Title/Abstract] OR "bladder overactive"[Title/Abstract] OR "overactive detrusor"[Title/Abstract] OR "detrusor overactive"[Title/Abstract]
#10 "Prevalence"[MeSH Terms]
#11 "Prevalences"[Title/Abstract] OR "Epidemiology"[Title/Abstract] OR "Epidemiologies"[Title/Abstract]
#12 "Prevalence"[MeSH Terms] OR "Prevalences"[Title/Abstract] OR "Epidemiology"[Title/Abstract] OR "Epidemiologies"[Title/Abstract]
#13 #3 AND #6 AND #9 AND #12

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].

Fig 1. Flow diagram of the search and screening processes based on PRISMA 2020.

Fig 1

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.

Table 2. Characteristics of the included articles.

Reference Region Survey Years Age Range Diagnosis Standard Cases Sample Size Prevalence (%)
An, F 2016 North China 2012.10–2012.11 18–97 (1) 191 2161 8.8
Chen, Y 2015 North China 2015.06.02–2015.07.20 42–59 (1) 26 351 7.4
Chuang, Y 2019 China 2015.06.02–2015.07.20 - (1) 543 2056 26.4
Wang, Y 2011 China 2009.06–2010.02 - (1) 449 7485 6
Wen, J 2014 Central China 2010.06–2011.02 - (1) 125 6676 1.9
Wu, J 2016 Central China 2013.12.15–2014.06.10 - (1) 83 590 14.1
Xing, D 2020 China 2018.07–2018.10 - (1) 437 4761 9.18
Xu, D 2019 East China 2016.07–2016.09 21–53 (1) 102 320 32
Zhang, C 2013 North China 2010.09–2011.03 19–58 (2) 295 1070 27.57
Zhang, W 2006 East China 2002 - (3) 377 4684 8
Zhu, L 2015 North China 2012.09–2013.12 36–76 (1) 32 304 9.43
Chen, L 2015 East China 2012.05–2012.11 20–55 (1) 122 636 19.2
Hu, Y 2021 East China 2020.07–2020.12 - (1) 23 74 31.08
Hu, Z 2018 North China 2017.06–2018.06 19–55 (1) 276 1129 24.4
Liang, Y 2020 China 2018.09–2020.01 - (1) 770 12701 6.1
Liao, Y 2015 Central China 2011.08–2014.11 - (1) 115 5882 1.96
Liu, Y 2013 East China 2012.05–2012.11 22–54 (4) 81 401 20.2
Wang, Y 2010 North China 2009 18–90 (1) 112 2379 4.7
Wu, H 2020 Southwest China 2019 - (1) 15 70 21.43
Wu, N 2017 North China 2016.04.01–2016.04.30 - (1) 42 1000 4.2

(1) OAB symptom score questionnaire; (2) Beijing Nurses Bladder Questionnaire; (3) Bristol Female Lower Urinary Tract Symptoms Questionnaire; (4) International Consultation on Incontinence Modular Questionnaire-Female Lower Urinary Tract Symptoms

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].

Fig 2. The prevalence of OAB in Chinese women.

Fig 2

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).

Table 3. The subgroup analysis of the prevalence of OAB in Chinese women.

Subgroup Studies P I2 (%) Effect Model Prevalence (95% CI)
Survey Years
 <2006 1 - - Random 0.08 (0.07, 0.09)
 2006–2010 4 <0.001 99.92 Random 0.10 (0.02, 0.22)
 2011–2015 8 <0.001 98.91 Random 0.14 (0.08, 0.19)
 2016–2021 7 <0.001 99.67 Random 0.18 (0.08, 0.26)
Age
 ≤30 6 <0.001 98.46 Random 0.13 (0.07, 0.20)
 31–40 5 <0.001 97.93 Random 0.18 (0.08, 0.28)
 41–50 3 0.84 0 Random 0.07 (0.06, 0.08)
 51–60 3 0.98 0 Random 0.12 (0.10, 0.14)
 >60 3 <0.001 95.8 Random 0.11 (0.02, 0.21)
BMI
 <18.5 4 0.02 0 Random 0.10 (0.08, 0.13)
 18.5–23.9 4 <0.001 97.64 Random 0.13 (0.04, 0.22)
 24–27.9 4 <0.001 94.55 Random 0.18 (0.05, 0.31)
 ≥28 3 0.21 0 Random 0.11 (0.07, 0.16)
Regions
 North China 7 <0.001 97.15 Random 0.21 (0.13, 0.30)
 East China 5 <0.001 99.88 Random 0.06 (0.02, 0.14)
 Central China 3 <0.001 99.26 Random 0.12 (0.05, 0.20)
 Southwest China 1 - - Random 0.21 (0.12, 0.31)

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).

Fig 3. The funnel plot suggests publication bias.

Fig 3

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.

(DOCX)

S1 Fig. Forest plot for the age subgroup analysis of the prevalence of OAB in Chinese women.

(TIF)

S2 Fig. Forest plot for the BMI subgroup analysis of the prevalence of OAB in Chinese women.

(TIF)

S3 Fig. Forest plot for the region subgroup analysis of the prevalence of OAB in Chinese women.

(TIF)

S4 Fig. Forest plot for the survey year subgroup analysis of the prevalence of OAB in Chinese women.

(TIF)

S5 Fig. Sensitivity analyses for the meta-analysis of the prevalence of OAB in Chinese women.

(TIF)

S6 Fig. Egger’s test suggests publication bias.

(TIF)

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.

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

Data Availability

https://doi.org/10.6084/m9.figshare.23648928.v1.

Funding Statement

The author(s) received no specific funding for this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Checklist. PRISMA 2009 checklist used in this meta-analysis.

(DOCX)

S1 Fig. Forest plot for the age subgroup analysis of the prevalence of OAB in Chinese women.

(TIF)

S2 Fig. Forest plot for the BMI subgroup analysis of the prevalence of OAB in Chinese women.

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S3 Fig. Forest plot for the region subgroup analysis of the prevalence of OAB in Chinese women.

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S4 Fig. Forest plot for the survey year subgroup analysis of the prevalence of OAB in Chinese women.

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S5 Fig. Sensitivity analyses for the meta-analysis of the prevalence of OAB in Chinese women.

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S6 Fig. Egger’s test suggests publication bias.

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Data Availability Statement

https://doi.org/10.6084/m9.figshare.23648928.v1.


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