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》
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》
The Interaction Effect of Obesity with Sleep Duration on Urinary Incontinence in Adult Females: A Cross-Sectional Study of the NHANES Database.
This study aimed to explore the interaction between obesity and sleep duration on urinary incontinence (UI) in adult women.
Data of adult females were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2005-2018 in this cross-sectional study. Weighted univariate and multivariate logistic regression analyses were utilized to screen covariates and investigate the associations of obesity and sleep duration with 3 types of UI, including stress urinary incontinence (SUI), urgency urinary incontinence (UUI), and mixed urinary incontinence (MUI). In addition, the interaction effect between obesity and sleep duration on UI was assessed. The evaluation indexes were odd ratios (ORs) and 95% confidence intervals (CIs), relative excess risk due to interaction (RERI), attributable proportion of interaction (AP), and synergy index (S).
Among 13,692 eligible women, 6,063 had SUI, 4,370 had UUI, and 2,621 had MUI. After adjusting for the covariates, women with obesity had higher odds of SUI (OR = 1.78, 95% CI: 1.59-2.00), UUI (OR = 1.84, 95% CI: 1.63-2.06), and MUI (OR = 1.67, 95% CI: 1.48-1.88), compared with those who without obesity. Similarly, comparing to adequate sleep, sleep deprivation and hypersomnia were both significantly linked to higher odds of all types of UI (all p < 0.05). The restricted cubic spline (RCS) curves showed that there is a U-shaped association of sleep duration with UUI and MUI, respectively (all non-line p < 0.05). In addition, there was a potential synergistic effect between obesity and hypersomnia on UUI (RERI = 0.576, AP = 0.243, and S = 1.729) and that on MUI (RERI = 0.821, AP = 0.339, and S = 2.373).
Obesity and hypersomnia had a potential synergistic effect on UI, especially UUI and MUI. Adult women should adopt measures to keep BMI within normal range, and timely intervene hypersomnia to reduce the possible risk of UI.
Nan X
，Dai S
，Zhao S
，Tian T
，Gu R
... -
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