The Triglycerides and Glucose Index is not superior to HOMA-IR in predicting testosterone deficiency among adult males

Association between life's essential 8 and testosterone deficiency in US men: findings from national health and nutrition examination survey (NHANES) 2011-2016

Background

Testosterone deficiency (TD) is closely associated with cardiovascular diseases (CVD). We intended to explore the association of Life's Essential 8 (LE8), the recently updated measurement of cardiovascular health, with the prevalence of TD among US male adults.

Methods

The population-based cross-sectional study selected male adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. According to the American Heart Association definitions, the LE8 score was measured on a scale of 0-100, and divided into health behavior and health factor scores, simultaneously. Furthermore, these scores were categorized into low (0-49), moderate (50-79), and high (80-100) classifications. TD is defined as a total testosterone level below 300ng/dL. Correlations were investigated by weighted multivariable logistic regression, and the robustness of the results were verified by subgroup analysis.

Results

A total of 4971 male adults with an average age of 47.46 ± 0.41 years were eligible for the final analyses, of whom 1372 were determined to have TD. The weighted mean LE8 score of the study population was 68.11 ± 0.41. After fully adjusting potential confounders, higher LE8 scores were significantly associated with low risk of TD (odd ratio [OR] for each 10-point increase, 0.79; 95% CI, 0.71-0.88) in a linear dose-response relationship. Similar patterns were also identified in the association of health factor scores with TD (OR for each 10-point increase, 0.74; 95% CI, 0.66-0.83). These results persisted when LE8 and health factor scores was categorized into low, moderate, and high groups. The inversed association of LE8 classifications and TD remained statistically significant among older, obese, and men without CVD.

Conclusions

LE8 and its health factor subscales scores were negatively associated with the presence of TD in linear fashions. Promoting adherence to optimal cardiovascular health levels may be advantageous to alleviate the burden of TD.

Predictive power of lipid-related indicators for testosterone deficiency: a comparative analysis, NHANES 2011-2016

BACKGROUND

Studies have shown that lipid-related indicators are associated with testosterone deficiency. However, it is difficult to determine which indicator is the most accurate predictor of testosterone deficiency. We aimed to identify the lipid-related indicators most predictive of testosterone deficiency in adults in the United States.

METHODS

This observational research was conducted on a population aged ≥ 20 years. By plotting the receiver operating characteristic curve (ROC) and obtaining the corresponding area under the curve (AUC) value, we assessed the predictive capacity of TyG, WTI, LAP, and VAI for testosterone deficiency. We compared the area under the curve (AUC) values of these measures to determine if there were any statistically significant differences. The relationship between lipid-related indices and testosterone hormones was investigated using regression modeling, eXtreme Gradient Boosting (XGBoost) modeling, and sensitivity analysis.

RESULTS

A total of 3,272 eligible participants were included in the study. Testosterone deficiency was found to exist in 20.63% of the participants. Subjects with higher lipid-related markers were more likely to have lower testosterone levels. LAP was the best predictor of testosterone deficiency in ROC analysis over other indicators (AUC = 0.7176, (95% CI: 0.6964-0.7389)).

CONCLUSION

LAP is the most straightforward and convenient indicator for identifying testosterone deficiency in clinical practice.

A negative association between triglyceride glucose-body mass index and testosterone in adult males: a cross-sectional study

Background and objectives

Insulin resistance (IR) is closely related to the decline or deficiency of testosterone in males. Triglyceride glucose-body mass (TyG-BMI) is considered to be a novel indicator of IR. We conducted this analysis to investigate the association between TyG-BMI and male testosterone, and to explore whether its ability to predict testosterone deficiency is superior to HOMA-IR and TyG.

Methods

This was a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES, 2011-2016). The TyG-BMI index was calculated from serum triglyceride, fasting plasma glucose and BMI. The association of TyG-BMI with male testosterone was estimated by weighted multivariable regression.

Results

We included 3394 participants for the final analysis. After adjusting for confounders, TyG-BMI was found to show an independent negative association with testosterone (β=-1.12, 95%CI: -1.50, -0.75, P<0.0001). Multivariate-adjusted beta also showed testosterone levels were significantly lower in the two highest TyG-BMI group (Q3, Q4) compared to the lowest group (Q1). Similar results were seen in all of the subgroup populations by stratified analysis (all P-interaction >0.05). Furthermore, ROC curve analysis indicated that the area under the curve of TyG-BMI index (0.73, 95% CI: 0.71, 0.75) was larger than that of HOMA-IR index (0.71, 95% CI: 0.69, 0.73) and TyG index (0.66, 95% CI: 0.64, 0.68).

Conclusion

Our result suggested a negative association between TyG-BMI index and testosterone in adult males. The predictability of the TyG-BMI index for testosterone deficiency is better than that of HOMA-IR index and TyG index.

Association of lipid accumulation products with testosterone deficiency in adult American men: A cross-sectional study

PURPOSE

Testosterone deficiency and changes in testosterone levels are important in men's health and may be associated with fat accumulation. In order to investigate the connection between testosterone and fat accumulation in adult males, we employed lipid accumulation product and compared it to triglyceride-glucose and Homeostasis Model Assessment of Insulin Resistance.

MATERIALS AND METHODS

An intersecting surface research of participators from 2013 to 2014 was carried out using National Health and Nutrition Examination Survey, in addition, participants from 2015 to 2016 were selected. Using multivariate adjusted logistic regression, the connection between lipid accumulation product, testosterone levels, and testosterone insufficiency was investigated, smoothed curve fitting was calculated to integrate non-linear relationships, and subgroup analysis was performed to identify sensitive populations.

RESULTS

After removing all potential confounders, testosterone levels in 1651 subjects tended to decrease with increasing continuous variable lipid accumulation product (β = -0.49, 95% confidence interval [-0.77, -0.22], p = 0.0005) and adding the chance of testosterone deficiency (odds ratio = 1.01, 95% confidence interval [1.01, 1.01], p < 0.0001). In the lipid accumulation product quartile, testosterone levels decreased the most (β = -77.65, 95% confidence interval [-110.99, -44.31], p < 0.0001) and the risk of testosterone deficiency was highest (odds ratio = 2.76, 95% confidence interval [1.47, 5.20], p = 0.0016). The area under the curve values were 0.718 (95% confidence interval: 0.688-0.750) for lipid accumulation product, 0.723 (95% confidence interval: 0.689-0.756) for Homeostasis Model Assessment of Insulin Resistance, and 0.673 (95% confidence interval: 0.640-0.708) for triglyceride-glucose, with no statistical difference between lipid accumulation product and Homeostasis Model Assessment of Insulin Resistance comparisons. The cut-off value of lipid accumulation product ≥52.408 predicted testosterone deficiency with good sensitivity and specificity.

CONCLUSION

Higher lipid accumulation product was linked to a higher incidence of testosterone loss and inadequate, especially in hypertensive and non-smoker. Lipid accumulation product is a better predictor of testosterone deficiency than triglyceride-glucose and does not differ significantly from the Homeostasis Model Assessment of Insulin Resistance phase.

Dietary inflammatory potential and psoriasis: A cross-sectional study

Diet is an important source of inflammation, and diet-induced inflammation might be associated with the etiopathogenesis of psoriasis. This study aimed to explore the relationship between dietary inflammatory index (DII), a literature-derived dietary tool to measure individual dietary inflammatory potential, and incident psoriasis. This was a cross-sectional study based on the 2003-2006 and 2009-2014 National Health and Nutrition Examination Surveys. The calculation of DII was based on 24-h dietary recall. Psoriasis was defined by a self-reported medical questionnaire. Logistic regressions were introduced to calculate the odds ratio (OR) and 95% confidence interval (CI) of psoriasis relative to DII. Restricted cubic splines (RCS) were used to test the nonlinear relationship in the regression model. A total of 13 284 participants with an average age of 48.94 ± 17.71 years were enrolled. The prevalence rate psoriasis was 2.88% (95% CI 2.61, 3.18). Incident psoriasis was not associated with DII in a multivariable logistic regression model (OR = 1.00, 95% CI 0.89, 1.11). Compared to participants in the lowest DII tertile, OR for those in the highest was 0.81 (95% CI 0.51, 1.28, P for trend = 0.0974). Subgroup analysis indicated that DII was still not associated with psoriasis in participants with different population settings. RCS showed that DII was not associated with psoriasis in either an overall or a nonlinear manner. Although a proinflammatory diet could lead to several health risks, psoriasis occurrence might not be associated with dietary inflammatory potential in this cross-sectional study.