Abdominal obesity as assessed by anthropometric measures associates with urinary incontinence in females: findings from the National Health and Nutrition Examination Survey 2005-2018.

Urinary incontinence (UI) is significantly link to abdominal obesity. This study aimed to assess the association between anthropometric indices of abdominal obesity, including body roundness index (BRI), conicity index (CI), and waist-to-height ratio (WHtR), and UI risk in adult females. We analyzed data from 10, 317 adult females in the National Health and Nutrition Examination Survey (NHANES) database (2005-2018). Weighted multivariable-adjusted regression analysis was conducted to determine the odds ratio (OR) and 95% confidence intervals (CI) for the association between BRI, CI, WHtR, and UI. Stratified analyses revealed the association based on the population type. Receiver operating characteristic curve (ROC) analyses were used to assess the predictive value of UI. All indices of abdominal obesity investigated were positively and independently associated with the prevalence and severity of three types of UI. After adjusting for all relevant confounding variables, a significantly positive association between BRI and the prevalence of UI were observed (OR quartile 4 vs. quartile 1: urge UI (UUI): 1.93, 95% CI 1.61-2.30; stress UI (SUI): 2.29, 95% CI 1.94-2.70; mixed UI (MUI): 2.26, 95% CI 1.82-2.82; all P < 0.0001, P for trend < 0.0001, respectively), as well as WHtR and CI, which particularly prominent for female in premenopausal. Moreover, a one-unit increment of BRI was significantly associated with an increased severity index of UUI (β: 0.06, 95% CI 0.04-0.09, P < 0.0001), SUI (β: 0.10, 95% CI 0.07-0.13, P < 0.0001) and MUI (β: 0.07, 95% CI 0.04-0.10, P < 0.0001), which this trend was also observed in each subtype of UI for WHtR and CI. Furthermore, the ROC analysis demonstrated a higher diagnostic efficacy of BRI and WHtR compared with BMI in discriminating UI with an AUC of 0.600 for SUI, 0.617 for UUI, and 0.622 for MUI (all P < 0.05). An increased BRI, CI, and WHtR are significantly associated with higher prevalence and severity of UI in females.

Long T ，Cheng B ，Zhang K 《BMC Womens Health》

Weight-adjusted-waist index is positively associated with urinary incontinence: results from the National Health and Nutrition Examination Survey (NHANES) 2001-2018.

Cao S ，Hu X ，Tang Y ，Wu K ，Yang W ，Li X ... -  《-》

Association between triglyceride glucose body mass index and urinary incontinence: a cross-sectional study from the National Health and Nutrition Examination Survey (NHANES) 2001 to 2018.

Urinary incontinence (UI) is a prevalent, health-threatening condition that causes isolation and psychological strain, leading to significant personal distress. The connection between the triglyceride glucose body mass index (TyG-BMI) and UI remains elusive. The purpose of the current research was to investigate any possible relationships between raised TyG-BMI levels and a higher likelihood of UI. For a thorough examination, adults 20 years and older with UI were included in cross-sectional research using the data obtained from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018. Our investigation centred on three of the significant varieties of UI: Urgent Urinary Incontinence (UUI), Mixed Urinary Incontinence (MUI), and Stress Urinary Incontinence (SUI), employing weighted multivariate logistic regression models for an in-depth evaluation. The TyG-BMI, a possible biomarker, was arranged in increasing order among participants and then assessed with a trend test (P for trend). Moreover, this investigation delved into the non-linear relationships using advanced smoothed curve fitting techniques. Meticulous subgroup analyses were executed to verify the uniformity of the UI and TyG-BMI relationship across diverse demographic groups. A thorough investigation was conducted with 18,751 subjects to analyze the prevalence and types of UI, showing that 23.59% of individuals suffered from SUI, 19.42% from UUI, and 9.32% from MUI. Considering all possible confounding variables, Multivariate logistic regression analysis showed a substantial relationship between elevated TyG-BMI values and a greater likelihood across all UI categories. Specifically, stratifying the TyG-BMI into quartiles revealed a pronounced positive correlation in the top quartile relative to the bottom, reflected in increased odds ratios for SUI, UUI, and MUI (SUI: OR = 2.36, 95% CI 2.03-2.78, P < 0.0001; UUI: OR = 1.86, 95% CI 1.65-2.09, P < 0.0001; MUI: OR = 2.07, 95% CI 1.71-2.51, P < 0.0001). Among US adults, an association has been observed wherein increased TyG-BMI values correlate with a higher chance of UI. This suggests that TyG-BMI might be a helpful marker for identifying individuals at risk of UI, providing novel insights into its assessment and management.

Li J ，Xie R ，Tian H ，Wang D ，Mo M ，Yang J ，Guo W ... -  《Lipids in Health and Disease》

Comparison of novel and traditional anthropometric indices in Eastern-China adults: which is the best indicator of the metabolically obese normal weight phenotype?

People with the metabolically obese normal weight (MONW) phenotype have been confirmed to significantly increase the risk of unfavorable health consequences. This study aimed to investigate the relationships between traditional and novel anthropometric indices with the MONW phenotype and compare the predictive ability of different anthropometric indices in identifying individuals with the MONW phenotype. This cross-sectional study involved a total of 26,332 participants aged 18 years or older with a normal weight from Nanjing, China. Sociodemographic information, biochemical measurements, and anthropometric indices were collected. The novel body fat anthropometric indices included body shape index (ABSI), body roundness index (BRI), abdominal volume index (AVI), weight-adjusted-waist index (WWI), body adiposity index (BAI), conicity index (CI), waist-hip-height ratio (WHHR), as well as traditional indices such as waist circumference (WC), hip circumference (HC), body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR).The prevalence ratio (PR) from modified poisson regression and area under the receiver-operating characteristic curve (AUC) were conducted to compare the association and predictive capacity of different obesity indicators for the MONW phenotype. All analyses were stratified by sex. Modified poisson regression analyses revealed that weight, WC, HC, BMI, WHR, WHtR, ABSI, BRI, AVI, WWI, BAI, CI, and WHHR were independently associated with higher risk of the MONW phenotype, regardless of whether they were treated as a continuous or categorical variable (P < 0.05). Notably, BRI demonstrated the strongest association in both men (highest quartile VS lowest quartile; PR = 3.14, 95%CI, 2.49, 3.96; P < 0.001) and women (PR = 4.63, 95%CI, 3.81, 5.62; P < 0.001). Receiver operating characteristic analysis indicated that AUC for the different anthropometric indices ranged from 0.50 to 0.80. BRI and WHtR had the largest AUC in both males (both AUC = 0.733; 95% CI, 0.717, 0.750) and females (both AUC = 0.773; 95% CI, 0.761, 0.786). The optimal cut-off points for BRI, determined by maximizing the Youden's index, were 3.102 (sensitivity: 63.2%, specificity: 36.2%) in males and 3.136 (sensitivity: 68.9%, specificity: 44.2%) in females. Moreover, BRI and WHtR exhibited the highest diagnostic accuracy in younger age groups, specifically those aged 18-34 in both sexes. BRI emerged as the optimal predictor and independent determinant of the MONW phenotype, regardless of gender. This association was particularly pronounced in young individuals.

Chen Y ，Wang C ，Sun Q ，Ye Q ，Zhou H ，Qin Z ，Qi S ，Wang W ，Hong X ... -  《BMC PUBLIC HEALTH》

The relationship between BMI and urinary incontinence subgroups: results from EpiLUTS.

To evaluate the relationship between body mass index (BMI) and urinary incontinence (UI) in adults ≥40 from the United States, United Kingdom, and Sweden. This was a secondary analysis of EpiLUTS-a population-representative, cross-sectional, Internet-based survey conducted to assess the prevalence and HRQL impact of urinary symptoms. UI was evaluated by the LUTS Tool and categorized by subgroups: no UI, urgency urinary incontinence (UUI), stress urinary incontinence (SUI), mixed urinary incontinence (MUI) (UUI + SUI), UUI + other UI (OI), SUI + OI, and OI. Descriptive statistics were used. Logistic regressions examined the relationship of BMI to UI controlling for demographics and comorbid conditions. Response rate was 59%; 10,070 men and 13,178 women were included. Significant differences in BMI were found across UI subgroups. Obesity rates were highest among those with MUI (men and women), SUI + OI (women), UUI and UUI + OI (men). Logistic regressions of each UI subgroup showed that BMI ≥ 30 (obese) was associated with UI in general and MUI (women) and UUI + OI (men). Among women, being obese increased the odds of having SUI and SUI + OI. Women with BMI 25-29.9 (overweight) were more likely to have UI in general and SUI with and without other incontinence (SUI, MUI, and SUI + OI). Being overweight was unrelated to any form of UI in men. Results were consistent with prior research showing BMI is associated with higher risk of UI. These findings indicate substantial differences in obesity by gender and UI subtype, suggesting different mechanisms for UI other than purely mechanical stress on the bladder.

Khullar V ，Sexton CC ，Thompson CL ，Milsom I ，Bitoun CE ，Coyne KS ... -  《-》