Skip to content
Open access

Comparative evaluation of insulin resistance and adipokine status in men with hypogonadism associated with obesity

Sep 2026 · Andrology and Genital Surgery · 0 citations · 14 references

TL;DR

Hypogonadism in men with obesity is associated with abdominal obesity, hyperinsulinemia, and insulin resistance, and the HOMA-IR and Caro indices may be recommended as screening tools for detecting metabolic disturbances in this patient population.

Abstract

Background

: Obesity is a significant risk factor for development of hypogonadism in men and is associated with pronounced metabolic disturbances, including insulin resistance.

Aim

: To assess the prevalence of hypogonadism across different body mass index categories in men and to investigate its association with key metabolic disturbances, including adipokine dysregulation.

Methods

: The study included 103 men divided into groups with hypogonadism ( n = 57) and without hypogonadism ( n = 46). Anthropometric parameters, carbohydrate and lipid metabolism markers, immunoreactive insulin, total testosterone levels, as well as insulin resistance indices (HOMA-IR, Matsuda, Caro) and adipokines (visfatin, resistin) were evaluated. Statistical analysis included non-parametric methods and correlation analysis.

Results

: Patients with hypogonadism demonstrated significantly higher body mass index, waist circumference, and insulin levels, as well as pronounced insulin resistance. The HOMA-IR and Caro indices showed greater sensitivity to decreased testosterone levels compared to the Matsuda index. Statistically significant negative correlations were found between testosterone levels and visfatin (r = −0.732; p <0.001) and resistin (r = −0.750; p <0.001). However, intergroup differences in adipokine levels did not reach statistical significance.

Conclusion

: Hypogonadism in men with obesity is associated with abdominal obesity, hyperinsulinemia, and insulin resistance. The HOMA-IR and Caro indices may be recommended as screening tools for detecting metabolic disturbances in this patient population. The identified correlations between testosterone levels and adipokines suggest a potential role of visfatin and resistin in the pathogenesis of androgen deficiency and warrant further investigation.

Read PDF

Similar papers

Open access Sep 2026

Association of the cardiometabolic index with hepatic enzymes and metabolic profiles among adults with overweight and obesity

Growing evidence suggests that composite metabolic indices may offer valuable insights into obesity-related complications. The Cardiometabolic Index (CMI), a surrogate marker of adverse lipid profiles and central adiposity, has emerged as a promising indicator of cardiometabolic risk. Nevertheless, its association with...

Amr A. El-Sehrawy, Ismail Kandil, M. Maashi et al. · 0 citations
Open access Sep 2026

Body fat distribution, lipid profile and cardiometabolic risk factors in perimenopause

Background: Body fat correlates with increased risks of metabolic and cardiovascular diseases, Young women are at a heightened risk for metabolic syndrome linked to dyslipidemia, which contributes to atherosclerosis. Objective: The aimed of study is correlation between body fat distribution, lipid profiles, and cardiom...

Rosdiana Mus, Elpira Asmin, Ingrid A. Hutagalung et al. · 0 citations
Open access Sep 2026

Effects of Glucoerb® and Epavin® on Cardiometabolic Profile in Adults with Overweight or Obesity: A Three-Month Real-World Study

Background/Objectives: Overweight and obesity are major drivers of cardiometabolic dysfunction and increase the risk of type 2 diabetes (T2DM)and cardiovascular disease. Although lifestyle intervention remains the cornerstone of treatment, complementary strategies may provide additional benefits. The effects of Glucoer...

V. Maggio, Francesca Vaccaro, Elena Muratore et al. · 0 citations
Open access Sep 2026

Dyslipidemia as a Predictor of Liver Dysfunction, Glycaemic Control and Insulin Resistance: A Cross-Sectional Study

Dyslipidemia (DL), a common metabolic disorder, negatively influences the regulation of glycemia, liver function and insulin sensitivity and is a crucial factor in the dramatic increase in metabolic diseases. In India, the prevalence ranges from 15–20% in rural populations to 25–30% indicating the wide-spread prevalenc...

Naveen Kumar Billa, Darapuneni Radhika Chowdary, Sainath S. B. et al. · 0 citations
Open access Sep 2026

Comparative Analysis of Anthropometric Parameters and Their Association with Metabolic Health in Patients with Obesity

Abstract Background and aim: Body mass index (BMI) is the cornerstone of obesity classification. As the prevalence of obesity as a chronic disease increases, more precise stratification tools are being explored. The aim of this study is to compare established and alternative anthropometric parameters in terms of their...

P. Ivanov, Y. Assyov, R. Tafradjiiska-Hadjiolova et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.