Association Between Stress Urinary Incontinence and the Components of Metabolic Syndrome Among Females 20-59 Years

Cardiovascular health assessed by the new life's essential 8 and the prevalence of urinary incontinence in adults

OBJECTIVE

To explore the association between cardiovascular health (CVH) measured by Life's Essential 8 (LE8) and the prevalence of urinary incontinence (UI).

METHOD

A cross-section study was conducted using data from the National Health and Nutrition Examination Survey 2007-2012. 22,609 people aged ≥ 20 years with complete information on LE8 metrics and UI questionnaires were enrolled. Participants were divided into three groups (low: < 50, moderate: ≥ 50 and < 80, high: ≥ 80) based on the cut-off of LE8. Weighted proportions, multivariable logistic regression analysis and stratified logistic regression were performed to examine the association between LE8 and the prevalence of three types of UI separately (stress UI (SUI), urge UI (UUI), mixed UI (MUI)) by confounding factors adjusted. Spline smooth was conducted to find whether a linear relationship existed. In addition, sensitive analyses were also conducted to observe the stability.

RESULT

A total of 22,609 adults were involved in the study, and participants were divided into three groups (low 42.2 ± 6.3, moderate 66.1 ± 8.1, high 86.8 ± 5.1) according to the cut-off points of LE8. The multivariable logistic regression suggested that LE8 is inversely associated with the prevalence of SUI (OR = 0.98, 95%CI 0.98 to 0.99), UUI (OR = 0.98, 95%CI 0.98 to 0.99), and MUI (OR = 0.98, 95%CI 0.97 to 0.98) in the fully-adjusted model. Compared with the low group, people with high scores of LE8 had a lower prevalence of SUI (OR = 0.45, 95%CI 0.37 to 0.55), UUI (OR = 0.49, 95%CI 0.40 to 0.60), and MUI (OR = 0.41, 95%CI 0.30 to 0.55). The result of the sensitive analysis showed the robustness of the main analysis.

CONCLUSION

The prevalence of UI (SUI, UUI, or MUI) is inversely associated with the LE8 score, which suggests that maintaining a good CVH with a higher LE8 score is accompanied by lower prevalence rates of UUI, SUI, and MUI.

Neuro-Urology and Biobanking: An Integrated Approach for Advancing Research and Improving Patient Care

Understanding the molecular mechanisms underlying neuro-urological disorders is crucial for the development of targeted therapeutic interventions. Through the establishment of comprehensive biobanks, researchers can collect and store various biological specimens, including urine, blood, tissue, and DNA samples, to study these mechanisms. In the context of neuro-urology, biobanking facilitates the identification of genetic variations, epigenetic modifications, and gene expression patterns associated with neurogenic lower urinary tract dysfunction. These conditions often present as symptoms of neurological diseases such as Alzheimer's disease, multiple sclerosis, Parkinson's disease, spinal cord injury, and many others. Biobanking of tissue specimens from such patients is essential to understand why these diseases cause the respective symptoms and what can be done to alleviate them. The utilization of high-throughput technologies, such as next-generation sequencing and gene expression profiling, enables researchers to explore the molecular landscape of these conditions in an unprecedented manner. The development of specific and reliable biomarkers resulting from these efforts may help in early detection, accurate diagnosis, and effective monitoring of neuro-urological conditions, leading to improved patient care and management. Furthermore, these biomarkers could potentially facilitate the monitoring of novel therapies currently under investigation in neuro-urological clinical trials. This comprehensive review explores the synergistic integration of neuro-urology and biobanking, with particular emphasis on the translation of biobanking approaches in molecular research in neuro-urology. We discuss the advantages of biobanking in neuro-urological studies, the types of specimens collected and their applications in translational research. Furthermore, we highlight the importance of standardization and quality assurance when collecting samples and discuss challenges that may compromise sample quality and impose limitations on their subsequent utilization. Finally, we give recommendations for sampling in multicenter studies, examine sustainability issues associated with biobanking, and provide future directions for this dynamic field.

Association of Serum Triglyceride and Stress Urinary Incontinence in Women From the National Health and Nutrition Examination Survey: A Cross-Sectional Study

OBJECTIVE

To investigate the relationship between serum triglyceride levels and stress urinary incontinence (SUI) in women from the National Health and Nutrition Examination Survey.

METHODS

Adults who participated in the National Health and Nutrition Examination Survey from 2005 to 2018 were included in the study. Univariate and multivariate logistic regressions were used to assess the relationship between serum triglyceride levels and the incidence and severity of SUI.

RESULTS

Approximately 7973 participants (mean, 49.9 years of age) were enrolled in the study. Of those, 3367 had SUI, and 4606 did not have SUI. An adjusted multivariate logistic regression analysis demonstrated a positive correlation between serum triglyceride levels and the incidence of SUI (ORs, 1.05; 95% CI, 1-1.11, P = .045). Besides, subgroup analyses indicated that the results were robust among women with different characteristics. Additionally, serum triglyceride levels were positively associated with the severity of SUI.

CONCLUSION

Serum triglyceride levels were closely related to the incidence and severity of SUI. Based on our findings, we suggest that serum triglycerides can be included as a risk indicator for screening high-risk groups of SUI.

Associations Between Bacterial Vaginosis And Urgency Urinary Incontinence In Women: An Analysis Of Nhanes 2001 To 2004

OBJECTIVE

To investigate the relationship between bacterial vaginosis (BV) and urinary incontinence (UI) in American women.

MATERIALS AND METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2004 were merged. Self-collected vaginal swabs were used to assess BV. Urinary incontinence was determined by self-report. Multivariable logistic regression models were used to assess the association between BV and UI in American women, controlling for potential confounders.

RESULTS

Overall, 31.3% of female respondents tested positive for bacterial vaginosis. Women with bacterial vaginosis were more likely to report stress urinary incontinence (SUI) (22.78% vs 17.79%), urgency urinary incontinence (UUI) (12.86% vs 7.26%) and mixed urinary incontinence (MUI) (7.35% vs 4.42%) than women without bacterial vaginosis. In the adjusted analysis, women with bacterial vaginosis had 1.47 times greater odds of urgency urinary incontinence (OR 1.47, 95% CI 1.07 to 2.17, p=0.0160), and bacterial vaginosis did not increase the odds of stress urinary incontinence and mixed urinary incontinence in women.

CONCLUSION

After controlling for known risk factors, bacterial vaginosis seems to be significantly related to female urgency urinary incontinence. However, the cross-sectional nature of this study does not allow the conclusion of causality. Further basic and cohort studies are needed to examine the association of BV with UUI.

Associations between metabolic syndrome and female stress urinary incontinence: a meta-analysis

INTRODUCTION AND HYPOTHESIS

The objective was to identify the associations between metabolic syndrome (MS) and stress urinary incontinence (SUI) in women and to provide an evidence base for clinical practice.

METHODS

A meta-analysis of cohort, case-control, and cross-sectional studies about the association between MS and SUI was performed using databases including PubMed, Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), China Biology Medicine disc (CBMdisc), Wanfang Database (WanFang Data), and VIP database (VIP). The time limit was from the commencement of each database to 1 November 2020. Two researchers independently screened literature, extracted data, and assessed the risk of bias. RevMan 5.3 software was used for statistical analysis. The dichotomous variables were presented as the risk ratio (odds ratio, OR) and 95% CI as the effect indicators.

RESULTS

Six studies were included in the meta-analysis, with a total sample size of 3,678 cases. The results showed that the risk for SUI in women with MS was three times those without MS (OR = 3.41, 95% CI 2.01, 5.77, p <0.00001), and the difference was statistically significant. The results of subgroup analysis showed that MS was significantly associated with SUI in the subgroups of pre- and postmenopausal women (OR = 2.46, 95% CI 1.63, 3.73, p < 0.00001), and in the subgroups of other types of women (OR = 3.41, 95% CI 2.01, 5.77, p = 0.0003), and the differences were statistically significant.

CONCLUSIONS

Metabolic syndrome is associated with SUI in women and increases its risk.

The Frequency of Metabolic Syndrome in Aged Female Patients (Older Than 65 Years) With and Without Stress Urinary Incontinence: A Case-Control Study

OBJECTIVE

The aim of the study was to assess the incidence of metabolic syndrome (MetS) in aged patients (older than 65 years) with and without stress urinary incontinence (SUI).

METHODS

We evaluated the components of MetS in 460 SUI patients and 460 age-matched women without urinary incontinence from January 2009 to October 2019. Stress urinary incontinence was diagnosed by clinical complaint and the presence of involuntary urine leakage during physical activity. Definition of MetS was on the basis of the National Cholesterol Education Program Adult Treatment Panel III recommendations definition (NCEPATPIII) and the International Diabetes Federation criteria (IDF).

RESULTS

Totally, 460 SUI patients with the median age of 70 years were eventually included in the study. Subsequently, 460 age-matched controls were selected. The prevalence of MetS was more frequent in SUI patients based on the NCEPATPIII (43.04% vs 19.78%, P < 0.0001) and IDF criteria (45.22% vs 20.22%, P < 0.0001). Moreover, logistic regression analysis revealed that MetS significantly increased the risk of SUI (odds ratio = 3.06, 95% confidence interval = 2.28-4.09) according to the NCEPATPIII definition and (odds ratio = 3.26, 95% confidence interval = 2.43-4.34) on the basis of IDF criteria compared with controls. Patients in the SUI group had a statistically higher body mass index (P < 0.0001), larger waist (P < 0.0001), higher level of fasting blood glucose (P = 0.0001), triglycerides (P = 0.00), and systolic blood pressure (P = 0.0001) than controls. Patients with SUI demonstrated a statistically worse symptom score in all aspects compared with controls (P < 0.0001).

CONCLUSIONS

The prevalence of MetS was higher in older women with SUI than in an age- and sex-matched control group without clinical SUI. Further studies are warranted to determine the pathophysiology mechanism of SUI and MetS.