Prevalence of and Associated Factors for Overactive Bladder Subtypes in Middle-Aged Women: A Cross-Sectional Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Measurements
2.3. Data Analysis
3. Results
3.1. Participant Characteristics and Their Associations with OABdry and OABwet
3.2. Associated Factors for OAB with and without Incontinence in Middle-Aged Women
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Wang, Y.; Xu, K.; Hu, H.; Zhang, X.; Wang, X.; Na, Y.; Kang, X. Prevalence, risk factors, and impact on health related quality of life of overactive bladder in China. Neurourol. Urodyn. 2011, 30, 1448–1455. [Google Scholar] [CrossRef]
- 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, 19819. [Google Scholar] [CrossRef] [PubMed]
- Al Edwan, G.; Abdelazim, M.S.; Salhab, S.E.; Jamal, Y.M.; Soliman, M.A. The prevalence of overactive bladder symptoms in women in Algeria, Egypt, Jordan and Lebanon: A cross-sectional population-based survey. Adv. Ther. 2020, 22, 1155–1167. [Google Scholar] [CrossRef] [PubMed]
- Chuang, Y.C.; Liu, S.P.; Lee, K.S.; Liao, L.; Wang, J.; Yoo, T.K.; Chu, R.; Sumarsono, B. Prevalence of overactive bladder in China, Taiwan and South Korea: Results from a cross-sectional, population-based study. Low. Urin. Tract. Symptoms 2019, 11, 48–55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Coyne, K.S.; Sexton, C.C.; Vats, V.; Thompson, C.; Kopp, Z.S.; Milsom, I. National community prevalence of overactive bladder in the United States stratified by sex and age. Urology 2011, 77, 1081–1087. [Google Scholar] [CrossRef]
- Coyne, K.S.; Sexton, C.C.; Bell, J.A.; Thompson, C.L.; Dmochowski, R.; Bavendam, T.; Chen, C.I.; Quentin, C.J. 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, 230–237. [Google Scholar] [CrossRef] [Green Version]
- Stewart, W.F.; Van Rooyen, J.B.; Cundiff, G.W.; Abrams, P.; Herzog, A.R.; Corey, R.; Hunt, T.L.; Wein, A.J. Prevalence and burden of overactive bladder in the United States. World J. Urol. 2003, 20, 327–336. [Google Scholar] [CrossRef] [Green Version]
- 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, 622–627. [Google Scholar] [CrossRef]
- Wen, J.G.; Li, J.S.; Wang, Z.M.; Huang, C.X.; Su, Z.Q.; Lu, Y.T.; Suo, Z.H.; Wang, Y.; Qin, G.J.; Zhang, W.X.; et al. The prevalence and risk factors of OAB in middle-aged and old people in China. Neurourol. Urodyn. 2014, 33, 387–391. [Google Scholar] [CrossRef]
- Liu, S.P.; Chuang, Y.; Sumarsono, B.; Chang, H.C. 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 Pt 1, 170–178. [Google Scholar] [CrossRef]
- 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, 717–721. [Google Scholar] [CrossRef] [PubMed]
- Selvaraj, J.; Kekre, A.N.; Varghese, L.; Jacob, K.S. Symptoms, prevalence, and risk factors of overactive bladder in women in south India. Int. J. Gynaecol. Obstet. 2015, 129, 274–275. [Google Scholar] [CrossRef]
- Zhu, J.; Hu, X.; Dong, X.; Li, L. Associations between risk factors and overactive bladder: A meta-analysis. Female Pelvic Med. Reconstr. Surg. 2019, 25, 238–246. [Google Scholar] [CrossRef] [PubMed]
- Funada, S.; Kawaguchi, T.; Terada, N.; Negoro, H.; Tabara, Y.; Kosugi, S.; Yamada, R.; Nakayama, T.; Akamatsu, S.; Yoshimura, K.; et al. Cross-sectional epidemiological analysis of the Nagahama study for correlates of overactive bladder: Genetic and environmental considerations. J. Urol. 2018, 199, 774–778. [Google Scholar] [CrossRef] [PubMed]
- Yu, H.J.; Liu, C.Y.; Lee, K.L.; Lee, W.C.; Chen, T.H. Overactive bladder syndrome among community-dwelling adults in Taiwan: Prevalence, correlates, perception, and treatment seeking. Urol. Int. 2006, 77, 327–333. [Google Scholar] [CrossRef] [PubMed]
- Darkow, T.; Fontes, C.L.; Williamson, T.E. Costs associated with the management of overactive bladder and related comorbidities. Pharmacotherapy 2005, 25, 511–519. [Google Scholar] [CrossRef]
- Dallosso, H.; McGrother, C.; Matthews, R.; Donaldson, M.; Group LMIS. The association of diet and other lifestyle factors with overactive bladder and stress incontinence: A longitudinal study in women. BJU Int. 2003, 92, 69–77. [Google Scholar] [CrossRef]
- Victo, R.E.; O’Connell, K.A.; Blaivas, J.G. Environmental cues to urgency and leakage episodes in patients with overactive bladder syndrome: A pilot study. J. Wound Ostomy Cont. Nurs. 2012, 39, 181–186. [Google Scholar] [CrossRef]
- Carr, E.J.; Dooley, J.; Garcia-Perez, J.E.; Lagou, V.; Lee, J.C.; Wouters, C.; Meyts, I.; Goris, A.; Boeckxstaens, G.; Linterman, M.A.; et al. The cellular composition of the human immune system is shaped by age and cohabitation. Nat. Immunol. 2016, 17, 461–468. [Google Scholar] [CrossRef]
- Leong, A.; Rahme, E.; Dasgupta, K. Spousal diabetes as a diabetes risk factor: A systematic review and meta-analysis. BMC Med. 2014, 12, 12. [Google Scholar] [CrossRef] [Green Version]
- Jackson, S.E.; Steptoe, A.; Wardle, J. The influence of partner’s behavior on health behavior change: The english longitudinal study of ageing. JAMA Intern. Med. 2015, 175, 385–392. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kiecolt-Glaser, J.K.; Wilson, S.J. Lovesick: How couples’ relationships influence health. Annu. Rev. Clin. Psychol. 2017, 13, 421–443. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- International Consultation on Incontinence Questionnaire Overactive Bladder Module (ICIQ-OAB). Available online: https://iciq.net/iciq-oab (accessed on 26 March 2016).
- Lee, Y.S.; Lee, K.S.; Jung, J.H.; Han, D.H.; Oh, S.J.; Seo, J.T.; Lee, J.G.; Park, H.S.; Choo, M.S. Prevalence of overactive bladder, urinary incontinence, and lower urinary tract symptoms: Results of Korean EPIC study. World J. Urol. 2011, 29, 185–190. [Google Scholar] [CrossRef] [PubMed]
- Bowling, A. Mode of questionnaire administration can have serious effects on data quality. J. Public Health 2005, 27, 281–291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Milsom, I.; Abrams, P.; Cardozo, L.; Roberts, R.; Thuroff, J.; Wein, A.J. How widespread are the symptoms of an overactive bladder and how are they managed? A population-based prevalence study. BJU Int. 2001, 87, 760–766. [Google Scholar] [CrossRef]
- Cummings, J.; Rodning, C. Urinary stress incontinence among obese women: Review of pathophysiology therapy. Int. Urogynecol. J. 2000, 11, 41–44. [Google Scholar] [CrossRef]
- Marcelissen, T.; Anding, R.; Averbeck, M.; Hanna-Mitchell, A.; Rahnamai, A.; Cardozo, L. Exploring the relation between obesity and urinary incontinence: Pathophysiology, clinical implications, and the effect of weight reduction, ICI-RS 2018. Neurourol. Urodyn. 2019, 38, S18–S24. [Google Scholar] [CrossRef]
- D’Souza, A.O.; Smith, M.J.; Miller, L.A.; Doyle, J.; Ariely, R. Persistence, adherence, and switch rates among extended-release and immediate-release overactive bladder medications in a regional managed care plan. J. Manag. Care Pharm. 2008, 14, 291–301. [Google Scholar] [CrossRef] [Green Version]
- Harmanli, O.H.; Cheng, G.Y.; Nyirjesy, P.; Chatwani, A.; Gauahan, J. Urinary tract infections in women with bacterial vaginosis. Obstet. Gynecol. 2000, 95, 710–712. [Google Scholar]
Variable | Total n (%) | OABdry n (%) | P | OABwet n (%) | P |
---|---|---|---|---|---|
970 (100) | 248 (25.6) | 400 (41.2) | |||
Age group (year) | 0.264 | 0.008 ** | |||
<55 | 770 (79.4) | 203 (81.9) | 301 (75.2) | ||
≥55 | 200 (20.6) | 45 (18.1) | 99 (24.8) | ||
Education level | 0.577 | 0.528 | |||
Senior high school or less | 651 (67.1) | 170 (68.5) | 273 (68.2) | ||
College and above | 319 (32.9) | 78 (31.5) | 127 (31.8) | ||
Marital status | 0.322 | 0.889 | |||
Married | 940 (96.9) | 238 (96.0) | 388 (97.0) | ||
Non-married | 30 (3.1) | 10 (4.0) | 12 (3.0) | ||
Employment | 0.593 | 0.123 | |||
Full time | 557 (57.4) | 146 (58.9) | 218 (54.5) | ||
Not full time | 413 (42.6) | 102 (41.1) | 182 (45.5) | ||
BMI, kg/m2 | 0.242 | 0.039 * | |||
<24.0 | 592 (61.0) | 151 (60.9) | 240 (60.0) | ||
24.0–26.9 | 226 (23.3) | 65 (26.2) | 84 (21.0) | ||
≥27.0 | 152 (15.7) | 32 (12.9) | 76 (19.0) | ||
Drinking | 0.484 | 0.957 | |||
Yes | 36 (3.7) | 11 (4.4) | 15 (3.8) | ||
Smoking | 0.818 | 0.898 | |||
Yes | 52 (5.4) | 14 (5.6) | 21 (5.2) | ||
Exercise | 0.384 | 0.983 | |||
Yes | 723 (74.5) | 190 (76.6) | 298 (74.5) | ||
Parity | 0.381 | 0.084 | |||
None | 39 (4.0) | 7 (2.8) | 14 (3.5) | ||
1 | 104 (10.8) | 32 (12.9) | 32 (8.0) | ||
2 | 464 (47.8) | 121 (48.8) | 193 (48.2) | ||
≥3 | 363 (37.4) | 88 (35.5) | 161 (40.3) | ||
Mode of delivery | 0.128 | 0.085 | |||
None | 26 (2.7) | 4 (1.6) | 7 (1.8) | ||
Exclusive vaginal | 584 (60.2) | 139 (56.0) | 256 (64.0) | ||
Exclusive cesarean | 262 (27.0) | 73 (29.5) | 95 (23.8) | ||
Vaginal delivery + cesarean | 98 (10.1) | 32 (12.9) | 42 (10.4) | ||
Menstrual status | 0.447 | 0.529 | |||
Premenopause | 668 (68.9) | 166 (66.9) | 271 (67.8) | ||
Menopause | 302 (31.1) | 82 (33.1) | 129 (32.3) | ||
Partner OABdry | <0.001 ** | 0.086 | |||
Yes | 326 (33.6) | 108 (43.5) | 122 (30.5) | ||
Partner OABwet | 0.076 | <0.001 ** | |||
Yes | 236 (24.3) | 50 (20.2) | 136 (34.0) | ||
Medical disease | |||||
Diabetes Mellitus | 0.902 | 0.284 | |||
Yes | 34 (3.5) | 9 (3.6) | 11 (2.8) | ||
Hypertension | 0.494 | 0.189 | |||
Yes | 106 (10.9) | 30 (12.1) | 50 (12.5) | ||
Cardiovascular disease | 0.385 | 0.411 | |||
Yes | 31 (3.2) | 10 (4.0) | 15 (3.8) | ||
Osteoporosis | 0.464 | 0.047 * | |||
Yes | 77 (7.9) | 17 (6.9) | 40 (10.0) | ||
Arthritis | 0.920 | 0.027 * | |||
Yes | 56 (5.8) | 14 (5.6) | 31 (7.8) | ||
Depression | 0.343 | 0.083 | |||
Yes | 28 (2.9) | 5 (2.0) | 16 (4.0) | ||
Cancer | 0.166 | 0.958 | |||
Yes | 27 (2.8) | 10 (4.0) | 11 (2.8) | ||
Gynecologic disease | |||||
Vaginitis | 0.384 | 0.001 ** | |||
Yes | 125 (12.9) | 28 (11.3) | 69 (17.2) | ||
Pelvic inflammatory | 0.165 | 0.012 * | |||
Yes | 28 (2.9) | 4 (1.6) | 18 (4.5) | ||
Myoma uterine | 0.623 | 0.175 | |||
Yes | 170 (17.5) | 46 (18.5) | 78 (19.5) | ||
Uterine Prolapse | 0.685 | 0.012 * | |||
Yes | 10 (1.0) | 2 (0.8) | 8 (2.0) | ||
Cervical cancer | 0.189 | 0.078 | |||
Yes | 5 (0.5) | 0 (0.0) | 4 (1.0) | ||
Ovary cancer | 0.407 | 0.801 | |||
Yes | 2 (0.2) | 0 (0.0) | 1 (0.2) | ||
Hysterectomy | 0.754 | 0.196 | |||
Yes | 70 (7.2) | 19 (7.7) | 34 (8.5) | ||
Oophorectomy | 0.178 | 0.437 | |||
Yes | 54 (5.6) | 18 (7.3) | 25 (6.2) |
Variables | β | OR (95% CI) | P |
---|---|---|---|
Partner OABdry | |||
Yes | 0.59 | 1.81 (1.34–2.44) | <0.001 ** |
Partner OABwet | |||
Yes | −0.47 | 0.95 (0.65–1.41) | 0.815 |
Variables | β | OR (95% CI) | P |
---|---|---|---|
Age group (yr) | |||
<55 | Ref. | ||
≥55 | 0.35 | 1.41 (1.02–1.95) | 0.036 * |
BMI, kg/m2 | |||
<24.0 | Ref. | ||
24.0–26.9 | −0.13 | 0.88 (0.64–1.22) | 0.446 |
≥27.0 | 0.40 | 1.50 (1.03–2.17) | 0.034 * |
Partner OABwet | |||
Yes | 0.86 | 2.35 (1.74–3.19) | <0.001 ** |
Vaginitis | |||
Yes | 0.64 | 1.89 (1.28–2.80) | 0.001 ** |
Uterine prolapse | |||
Yes | 1.45 | 4.25 (0.88–20.39) | 0.071 |
Cervical cancer | |||
Yes | 1.69 | 5.43 (0.57–51.41) | 0.140 |
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Yang, C.-F.; Huang, C.-Y.; Wang, S.-Y.; Chang, S.-R. Prevalence of and Associated Factors for Overactive Bladder Subtypes in Middle-Aged Women: A Cross-Sectional Study. Medicina 2022, 58, 383. https://doi.org/10.3390/medicina58030383
Yang C-F, Huang C-Y, Wang S-Y, Chang S-R. Prevalence of and Associated Factors for Overactive Bladder Subtypes in Middle-Aged Women: A Cross-Sectional Study. Medicina. 2022; 58(3):383. https://doi.org/10.3390/medicina58030383
Chicago/Turabian StyleYang, Cheng-Fang, Chao-Yuan Huang, Shu-Yi Wang, and Shiow-Ru Chang. 2022. "Prevalence of and Associated Factors for Overactive Bladder Subtypes in Middle-Aged Women: A Cross-Sectional Study" Medicina 58, no. 3: 383. https://doi.org/10.3390/medicina58030383