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Erectile Dysfunction (ED) is the leading cause of sexual dysfunction affecting hundreds of millions of men worldwide, and has been described as an important public health problem. The association of five novel anthropometrics related to obesity, lipids and glucose with ED remains unclear. To investigate the association of lipid accumulation products index (LAP), triglyceride glucose index (TyG), waist triglyceride index (WTI), weight-adjusted-waist index (WWI) and a body shape index (ABSI) with ED. Cross-sectional data from the NHANES were used. Participants were adults aged 20–85 y from 2001 to 2004. The analysis of logistic regressions, smooth curve fitting, subgroup analyses and generalized addition model were performed to examine the relationship between five novel anthropometric indicators and the prevalence of ED. An overall 1413 adult men were included in the study. After adjusting for confounding factors, the results of multiple regression analysis showed, ED positively correlated with LAP(OR = 1.0031, P  < 0.05), TyG(OR = 1.2981, P  < 0.05), WTI(OR = 1.4220, P  < 0.05), WWI(OR = 1.6043, P  < 0.001), and ABSI(OR = 1.6211, P  < 0.05). Smoothed curve fitting and subgroup analyses proved the stability of the relationship. This cross-sectional study showed a positive correlation between these five novel anthropometric indicators (LAP, TyG, WTI, WWI, ABSI) and ED. Further studies are needed to explore their association better and the underlying mechanisms.

This study investigates the correlation between the weight-adjusted waist index (WWI) and cognitive performance in the senior American population, focusing on those without diabetes from 2011 to 2014. We analyzed data from the 2011-2012 and 2013-2014 National Health and Nutrition Examination Surveys (NHANES), focusing on non-diabetic participants aged 60 and older who completed cognitive tests: Establish a Registry for Alzheimer's disease (CERAD), the Animal Fluency test (AFT), and Digit Symbol Substitution test (DSST). WWI was calculated using waist circumference divided by the square root of body weight. We employed linear univariate and multivariate analyses, along with curve fitting, we conducted subgroup and interaction analyses to elucidate the relationships under investigation. The study incorporated a cohort of 1649 participants aged 60 years and older, each with a complete set of data, enabling a thorough analysis. After adjusting for confounding factors, significant negative correlations were found between WWI and both CERAD (β: -0.48; 95% CI: -0.92 to -0.05; P=0.03) and DSST (β: -1.15; 95% CI: -2.09 to -0.21; P=0.017) scores, suggesting a link to cognitive decline. No association was found with AFT scores. The relationship between WWI and DSST was found to be nonlinear (P for non-linearity=0.022). Additionally, the association between WWI and CERAD was also observed (P for non-linearity=0.042). However, linear relationships were observed between WWI and AFT (P for non-linearity=0.418). The subgroup analysis was overall stable. Our cross-sectional study indicates a strong link between a high WWI and reduced cognitive function in non-diabetic older Americans, as shown by CERAD and DSST scores. Attaining an optimal WWI may be vital for cognitive decline, highlighting its role in a potential preventative approach. The study design and data are publicly accessible at www.cdc.gov/nchs/nhanes/.

Background Widespread attention has been given to the detrimental effects of obesity on cognitive function. However, there is no evidence on the connection between low cognitive performance and the WWI (weight-adjusted waist index). This study looked into the connection between poor cognitive performance and the WWI in senior Americans. Methods A cross-sectional research study was carried out with information from the NHANES 2011–2014. With multivariate linear regression models, the pertinence between the WWI and low cognitive function in persons older than 60 years was examined. The nonlinear link was described using threshold effect analyses and fitted smoothed curves. Interaction tests and subgroup analysis were also conducted. Results The study had 2762 individuals in all, and subjects with higher WWI values were at greater risk for low cognitive function. In the completely adjusted model, the WWI was positively connected with low cognitive performance assessed by CERAD W-L (OR = 1.22, 95% CI 1.03–1.45, p  = 0.0239), AFT (OR = 1.30, 95% CI 1.09–1.54, p  = 0.0029), and DSST (OR = 1.59, 95% CI 1.30–1.94, p  < 0.0001). The effect of each subgroup on the positive correlation between the WWI and low cognitive performance was not significant. The WWI and low cognitive performance as determined by CERAD W-L and AFT had a nonlinear connection (log-likelihood ratio < 0.05). Conclusion Among older adults in the United States, the risk of low cognitive performance may be positively related to the WWI.

Metabolic syndrome (MetS) is prevalent and significantly impacts global public health, with obesity being a major risk factor for cardiovascular diseases (CVD) and mortality. Traditional metrics like body mass index (BMI) have limitations in assessing obesity-related risks. The weight-adjusted waist circumference index (WWI) has emerged as a novel obesity metric, this study aimed to evaluate the association of WWI with CVD and mortality in MetS patients. This study used data from 12,641 participants with MetS, derived from the National Health and Nutrition Examination Survey (NHANES) conducted from 1999 to 2020. The WWI was calculated, and its association with CVD and mortality was assessed using multivariate logistic and Cox regression models. The study controlled for potential confounders and performed subgroup and sensitivity analyses to validate the robustness of the findings. The predictive performance of WWI was evaluated using the area under the receiver operating characteristic curve (ROC). Kaplan–Meier (KM) curves further were used to evaluate the associations between WWI and mortality of the MetS population. As WWI values escalated, there was a proportional rise in the risk of CVD and mortality in MetS. The fully adjusted continuous model revealed a 32.0% elevated likelihood of CVD development, a 69.5% increased probability of heart failure (HF), a 51.1% heightened risk for CVD mortality, and a 22.8% augmented risk for all-cause mortality with each one-unit increment in WWI. Comparing the highest to the lowest quartile of WWI, the top quartile exhibited a significantly increased risk of CVD (odds ratio [OR] = 1.883; 95% confidence interval [CI]: 1.276–2.633, p -value = 0.001), HF (OR = 2.909; 95% CI: 1.490–5.677, p -value = 0.002), CVD mortality (hazard ratio [HR] = 2.088; 95% CI: 1.279–3.409, p -value = 0.003), and all-cause mortality (HR = 1.394; 95% CI: 1.070–1.816, p -value = 0.014) among individuals with MetS. Sensitivity and subgroup analyses substantiated the consistency and stability of these associations across various demographic groups. The ROC analysis demonstrated that WWI outperforms BMI in predicting adverse outcomes in MetS. The KM curves validated that higher WWI values was correlated with diminished survival rates in MetS population. The WWI served as a significant indicator for assessing the risk of CVD and mortality in the MetS population. This study recommended the regular assessment of WWI in MetS individuals for evaluating their risk of CVD and mortality, potentially enhancing preventive and treatment strategies for this patient population.

Background Our objective was to evaluate how various measures of obesity, such as body mass index(BMI), body roundness index(BRI), and weigh adjusted waist index(WWI), influence urate levels, prevalence of gout and to compare the disparities among these obesity indicators. Methods By analyzing the 2001–2018 National Health and Nutrition Examination Survey (NHANES), we assessed the relationship between BMI, WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout. Smoothed curve fitting was used to determine whether there was a nonlinear relationship between BMI,WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout, and threshold effects analysis was used to test this relationship. We also used ROC curves to determine the diagnostic efficacy of BMI, WWI, and BRI on the prevalence of hyperuricemia and gout. Results The study incorporated a total of 29,310 participants aged over 20 years, out of which 14,268 were male. Following the adjustment for the pertinent confounding factors, it was observed that higher levels of BMI, WWI, and BRI were significantly associated with a gradual and dose-dependent increase in urate levels. In the sensitivity analysis, each unit increment in BMI, WWI, and BRI levels exhibited an 8%, 72%, and 26% respective elevation in the risk of hyperuricemia, as well as a 5%, 31%, and 15% respective increase in the risk of gout. Dose-response curves provided evidence of a linear positive correlation between BMI, WWI, BRI, and urate levels, as well as the prevalence of hyperuricemia and gout. Based on the response from the ROC curve, overall, the diagnostic efficacy of BRI for hyperuricemia and gout surpasses that of BMI. Conclusion The central obesity indices WWI and BRI levels are superior to BMI in detecting the prevalence of urate levels, hyperuricemia, and gout, and although a clear causal relationship has not yet been established, it is important to recognize the impact of central obesity on uric acid levels and to give it due attention.

Purpose The weight-adjusted waist index (WWI) is a novel anthropometric measure. WWI is linked to reduced muscle mass and strength; however, its efficacy for assessing sarcopenia and predicting adverse outcomes has yet to be validated. This study compared and examined the relationship between sarcopenia and WWI across different diagnostic criteria and aimed to evaluate its potential as a predictor of sarcopenia and all-cause mortality. Methods This study used data from 2946 NHANES (1999–2002) participants to analyze the relationship between weight-adjusted waist index (WWI) and sarcopenia (diagnosed using five different established criteria). Multivariable logistic regression, ROC analysis, Kaplan–Meier curves, and Cox regression were used to assess the association between WWI and sarcopenia and mortality. Results WWI was inversely correlated with walking speed, muscle strength, and muscle mass. It served as a significant predictor of sarcopenia, particularly in men, with an area under the ROC curve (AUC) of 0.86 for men according to FNIH criteria. Furthermore, a higher mortality rate from all causes was linked to a higher WWI. The mortality rate among patients with sarcopenia, as predicted by the WWI and FNIH criteria, was higher than that of patients diagnosed by a single criterion. Conclusions WWI proves to be a valuable tool in predicting sarcopenia and mortality risk, particularly when using the FNIH criteria. However, its performance varied significantly across different criteria and populations. Further research is needed to define the specific clinical contexts where WWI may be a useful supplementary tool. Level of Evidence Level III, evidence obtained from a cohort analytic study.

Background The impact of obesity on cognitive function has engendered considerable interest. Weight-adjusted waist index (WWI) has emerged as a novel and innovative marker of obesity that reflects weight-independent abdominal obesity. However, the association between WWI and cognitive function remains unclear. To address this gap, the present study aims to explore the relationship between weight-adjusted waist index (WWI) and cognitive performance in older adults. Methods We conducted a cross-sectional investigation using datasets from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. The study included 3,472 participants (48.59% male, 51.41% female) of various races (Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, and Other), with a mean age of 69.95 years (SD = 6.94). Multivariate regression and smoothing curve fitting were used to investigate the linear and nonlinear relationship between WWI and cognitive performance in the following domains: learning and memory, verbal fluency, and processing speed, as measured by Consortium to Establish a Registry for Alzheimer’s Disease Word Learning subtest (CERAD-WL), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST), respectively. Subgroup analysis and interaction tests were conducted to examine the stability of this relationship across groups. Machine learning models based on random forests were used to analyze the predictive performance of WWI for cognitive function. Results A total of 3,472 participants were included in the analysis. The results revealed significant negative associations between WWI and low scores on the CERAD-WL [-0.96 (-1.30, -0.62)], AFT [-0.77 (-1.05, -0.49)], and DSST [-3.67 (-4.55, -2.79)]. This relationship remained stable after converting WWI to a categorical variable. In addition, this significant negative association was more pronounced in men than women and diminished with advancing age. Non-linear threshold effects were observed, with correlations intensifying between WWI and CERAD-WL when WWI surpassed 12.25, AFT when WWI surpassed 11.54, and DSST when WWI surpassed 11.66. Conclusions A higher WWI, indicating increased abdominal obesity, was associated with deficits in learning, memory, verbal fluency, and processing speed among older adults. These findings suggest that abdominal obesity may play a crucial role in cognitive decline in this population. The stronger relationship observed between WWI and cognition in men highlights the need for gender-specific considerations in interventions targeting abdominal obesity. The results demonstrate the importance of interventions targeting abdominal obesity to preserve cognitive performance in older adults.

This study investigated the connection between asthma in US individuals and their body roundness index (BRI) and weight-adjusted waist index (WWI). According to data from the 2005–2018 National Health and Nutrition Examination Survey (NHANES), 3609 of the 25,578 persons in the survey who were 18 years of age or older reported having asthma. After adjusting for all confounders, the probability of asthma prevalence increased by 8% for every unit rise in BRI (OR = 1.08, 95% CI 1.06,1.11). The probability of asthma prevalence increased by 16% for every unit rise in WWI (OR = 1.16, 95% CI 1.08,1.25). The BRI and WWI indices were associated with prevalence and were nonlinearly correlated. The inflection points for threshold saturation effects were 4.36 and 10.69, respectively (log-likelihood ratio test, P  < 0.05). Relationship subgroup analyses showed that the positive associations between BRI and WWI and asthma were generalized across populations and there was no significant interaction in most subgroups. In addition, sensitivity analyses verified the robustness of these results, further confirming the conclusion of BRI and WWI as independent risk factors for asthma. Finally, receiver operating characteristic (ROC) analysis showed that BRI outperformed WWI in predicting asthma, suggesting the potential of BRI in early asthma screening. Overall, BRI and WWI are independent risk factors for asthma with important clinical applications.

BackgroundAt present, a growing number of studies have shown a positive association between obesity and kidney stone, while traditional anthropometric measures, such as body mass index (BMI) and Waist circumference (WC), have limited ability to assess the risk of kidney stone. Therefore, this study aimed to investigate the association between the weight-adjusted-waist index (WWI) and the risk of kidney stone.MethodData from the National Health and Nutrition Examination Survey (NHANES) between 2009 and 2016 were used. A total of 17,292 participants from NHANES were included in the study. Multivariate logistic regression and restricted cubic splines (RCS) were used to investigate the relationship between WWI and kidney stone. Interaction analysis was performed for subgroups to verify the results. Meanwhile, the receiver operating characteristic curve (ROC) was used to analyze the efficacy of different anthropometric indices in predicting the risk of kidney stone.ResultsAfter adjusting for potential confounding factors, we found a positive and independent association between kidney stone and WWI. After adjusting for all covariates, a one-unit increase in WWI was associated with a 36% increase in the risk of kidney stones. Dose–response curve analysis showed that WWI was non-linear correlated with the prevalence of kidney stone. In ROC analysis, WWI showed better discrimination for kidney stone (area under the curve: 0.612; 95% CI: 0.599–0.626; optimal cutoff value: 11.063) compared with other indices.ConclusionIn this study, increased WWI was strongly associated with the risk of kidney stone.

This study aimed to investigate the predictive value of the weight-adjusted waist index (WWI) for osteoporosis in postmenopausal patients with type 2 diabetes mellitus (T2DM). This cross-sectional study included 229 postmenopausal patients with T2DM (mean age 64.53 ± 7.4 years). Collect anthropometric data. Bone mineral density (BMD) of the lumbar spine and femoral necks was measured using dual-energy X-ray absorptiometry. Calculate WWI and Osteoporosis Self-Assessment Tool for Asians (OSTA). Use SPSS 25.0 to analyze data employing binary logistic regression and the receiver operating characteristic (ROC) curve. WWI in osteoporosis group was significantly higher than that in non-osteoporosis group (11.54 ± 0.82 vs. 11.07 ± 0.73, P  = 0.000), while the OSTA was significantly lower in osteoporosis group compared to non-osteoporosis group (− 1.40 (− 2.8, 0.40) vs. 0.10 (− 1.45,1.80), P  = 0.000). Binary logistic regression analysis indicated that the risk of osteoporosis in WWI ≥ 11.55 group was 3.158 times higher than that in WWI < 11.55 group (95% CI 1.714–5.820, P  = 0.000). The risk in OSTA ≤ − 1 group was 3.935 times higher than that in OSTA > − 1 group (95% CI 2.168–7.141, P  = 0.000). The area under the ROC curve for OSTA and WWI in predicting the risk of osteoporosis in postmenopausal patients with T2DM aged over 70 was 0.761 and 0.808, respectively, with sensitivities of 0.429 and 0.714. In postmenopausal patients with T2DM, WWI is closely associated with osteoporosis and negatively correlates with BMD. Among postmenopausal T2DM patients aged over 70, WWI may be superior to OSTA in predicting osteoporosis.