Dataset Information

Percent body fat was negatively correlated with Testosterone levels in male.

ABSTRACT:

Background

Lower testosterone levels in men have been consistently associated with metabolic abnormalities, particularly obesity. This study aims to investigate the relationship between testosterone and obesity by analyzing the correlation between testosterone levels and body fat percentage using data from the NHANES (National Health and Nutrition Examination Survey) database.

Methods

The study included a total of 5959 participants from the NHANES 2011-2016. Multivariable linear regression models were used to assess the association between testosterone levels and body composition parameters, including total percent fat (TPF), android percent fat (APF), gynoid percent fat (GPF), android to gynoid ratio (A/G), and lean mass percent (LMP). Subgroup analyses stratified by sex were conducted using multivariable linear regression. To account for potential non-linear relationships, fitted smoothing curves and generalized additive models were utilized. A separate analysis of participants with a BMI ≥ 30 kg/m2 was conducted to validate the conclusions.

Result

Among males, testosterone levels showed a significant negative correlation with TPF (β = -11.97, P <0.0001), APF (β = -9.36, P<0.0001), GPF (β = -10.29, P <0.0001), and A/G (β = -320.93, P<0.0001), while a positive correlation was observed between LMP and testosterone levels (β = 12.62, P<0.0001). In females, a contrasting pattern emerged in the relationship between testosterone and body fat, but no significant correlation was found between testosterone and body composition in obese women.

Conclusions

The findings of this study support a negative association between body fat and testosterone levels in males.

SUBMITTER: Ma H

PROVIDER: S-EPMC10763932 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Percent body fat was negatively correlated with Testosterone levels in male.

Ma Hailu H Sun Juan J Wu Xueyan X Mao Jiangfeng J Han Qin Q

PloS one 20240103 1

<h4>Background</h4>Lower testosterone levels in men have been consistently associated with metabolic abnormalities, particularly obesity. This study aims to investigate the relationship between testosterone and obesity by analyzing the correlation between testosterone levels and body fat percentage using data from the NHANES (National Health and Nutrition Examination Survey) database.<h4>Methods</h4>The study included a total of 5959 participants from the NHANES 2011-2016. Multivariable linear r ...[more]

PMID: 38170701

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Project description:BackgroundObesity is a state of excess body fat accumulation, and appears to be closely associated with polycystic ovary syndrome (PCOS). Notably, plausible biological pathways through which obesity can regulate anti-Müllerian hormone (AMH) production have been proposed, and women with PCOS characteristically have an increased AMH level. Body fat accumulation can be described by body fat percentage (BFP). However, the relationship between BFP and AMH still remains unclear.Materials and methodsA total of 87 controls and 156 PCOS patients were divided into lean and overweight/obese groups, and the PCOS patients were further divided into hyper-AMH and normal-AMH subgroups. Univariate regression was used to assess the unadjusted relationship between AMH and outcome variables, multivariable regression analysis was performed to test whether and how serum AMH levels were associated with BFP after adjusting for other co-variables. Receiver-operating characteristic (ROC) curve analyses were used to test the utility of BFP for the diagnosis of PCOS.ResultsBFP was higher in PCOS patients compared with controls, regardless of obesity. Serum AMH levels were negatively associated with BFP in the PCOS group (r = -0.371; P < 0.001) but not in the control group (r = -0.095; P = 0.385). Multivariable logistic regression analysis showed that elevated BFP was associated with a high risk of PCOS (odds ratio, 1.290; 95% confidence interval, 1.084-1.534, P = 0.004). Furthermore, the combination of BFP and serum AMH into a multivariate model gave an improved area under the curve (AUC) of 88.5%, with a sensitivity of 72.4% and specificity of 87.4%; the positive and negative predictive values were 91.2% and 63.9%, respectively. One limitation of this study is all the conclusion reported was based on small sample size.ConclusionsHerein, we described the negative correlation between BFP and serum AMH levels for the first time, and the present results highlight the importance of further investigation into the role of BFP, especially in body fat-related AMH change as it relates to the underlying pathogenesis of PCOS.

Project description:Abstract Background The epidemic of overweight and obesity has become a worldwide public health problem. Cardiometabolic diseases may originate in childhood. We investigated the association between percent body fat (PBF) measured by the bioelectrical impedance assay and cardiometabolic risk (CMR) in pediatrics. Methods This cross‐sectional study involved 3819 subjects (6–17 years old) in Shanghai. We assessed the association between PBF and body mass index (BMI) with multiple CMR factors. We examined the risk for cardiometabolic abnormalities attributable to overweight and obesity based on age‐ and sex‐specific PBF Z‐scores and BMI Z‐scores, respectively. Results PBF, but not BMI, was positively associated with multiple CMR factors in males and females except for total cholesterol in females (all p < 0.05). Compared with the non‐overweight group based on PBF, overweight and obese subjects had increasingly higher odds ratio of dyslipidemia (2.90 (1.99–4.23), 4.59 (2.88–7.32) for males and 1.82 (1.20–2.75), 2.46 (1.47–4.11) for females) and elevated blood pressure (BP) (3.26 (2.35–4.51), 4.55 (2.92–7.09) for males and 1.59 (1.07–2.34), 3.98 (2.27–6.17) for females). Obesity females showed a higher likelihood for hyperglycemia (2.19 (1.24–3.84)) than non‐overweight females. In both sexes, the predictive effect of PBF on dyslipidemia and elevated BP in adolescents was better than that in children. For hyperglycemia, the predictive effect of PBF was better in male adolescents and female children. There was no risk difference for cardiometabolic abnormalities attributable to BMI‐based obesity categories. Conclusions PBF but not BMI was associated with CMR. Overweight and obesity categories based on PBF had an increased risk for cardiometabolic abnormalities in children and adolescents. Highlights The incidence of dyslipidemia, hyperglycemia, and elevated blood pressure (BP) was 12.1%, 11.8%, and 18.8%, respectively, in children and adolescents in Shanghai, China. Percent body fat (PBF) but not BMI was associated with CMR; meanwhile, overweight and obesity categories based on PBF had an increased risk for cardiometabolic abnormalities in the pediatric population. Although PBF could better predict dyslipidemia and elevated BP in adolescents than in children of both sexes, it could better predict hyperglycemia in female children.

Dataset Information

Percent body fat was negatively correlated with Testosterone levels in male.

Background

Methods

Result

Conclusions

Publications

Percent body fat was negatively correlated with Testosterone levels in male.

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