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Early weight loss predicts the reduction of obesity in men with erectile dysfunction and hypogonadism undergoing

Mahmoud Salman1, Dany-Jan Yassin1, Huda Shoukfeh2

  • 1a Institute of Urology and Andrology , Norderstedt-Hamburg , Germany.

The Aging Male : the Official Journal of the International Society for the Study of the Aging Male
|January 14, 2017
PubMed

Insights

Testosterone replacement therapy aids weight loss in hypogonadal men. Early weight loss, higher BMI, and larger waist circumference predict successful long-term weight management.

Area of Science:

  • Endocrinology
  • Metabolic Health
  • Men's Health

Background:

  • Testosterone replacement therapy (TRT) is known to promote weight loss in most hypogonadal men.
  • A subset of men do not achieve significant weight loss (≥5%) with TRT, and predictors remain unclear.

Purpose of the Study:

  • To identify early indicators predicting successful long-term weight loss (≥5% baseline weight reduction) in hypogonadal men undergoing TRT.
  • To evaluate eight parameters as potential predictors of sustained weight loss.

Main Methods:

  • Prospective study assessing eight parameters in hypogonadal men receiving TRT.
  • Parameters included: 1-year weight loss (≥3%), hypogonadism severity, BMI, waist circumference, IPSS, HbA1C, age, and vardenafil use.
  • Weight loss defined as ≥5% reduction from baseline (T0).

Main Results:

  • Three factors significantly predicted sustained weight loss: 1-year weight loss (≥3%), baseline BMI >30, and waist circumference >102 cm.
  • Age was not found to be a predictor of weight loss.
  • These predictors were associated with successful weight loss throughout TRT treatment.

Conclusions:

  • Early weight loss, elevated BMI, and increased waist circumference are key indicators for predicting successful long-term weight loss in hypogonadal men on TRT.
  • These findings can help personalize treatment strategies and patient expectations regarding TRT-induced weight management.
Keywords:
BMITestosteronehypogonadismobesitypredictorswaist circumferenceweight loss

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