Importance of abdominal circumference and body mass index values in predicting male hypogonadism – A practical approach

Jaworski, Paulo; Araújo-Ramos, Anderson Tadeu de; Nicoleit, Arthur Radaelli; Bacarin, Luis Fernando de Almeida; Neto, Pedro Olivo

doi:10.1590/2359-3997000000203

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…Works available in literature primarily describe relationships between indicators based on anthropometric measurements (BMI, WC, WHR) and TT levels in men. Many studies show an inverse correlation between BMI, WHR and WC values and TT concentration, which clearly indicates that excessive fat accumulation, indirectly measured by the above-mentioned anthropometric indicators, is related to hypogonadism [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ].…”

Section: Discussionmentioning

confidence: 99%

Cross-Sectional Inverse Associations of Obesity and Fat Accumulation Indicators with Testosterone in Non-Diabetic Aging Men

Rotter

Rył

Grzesiak

et al. 2018

IJERPH

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Introduction/Objective: The aim of the study was to show which of the adipose tissue accumulation indicators correlate with testosterone disorders in non-diabetic aging men. Material and methods: 455 non diabetic men, recruited at primary care facilities, aged 50–75 participated in the study. The participants underwent anthropometric measurement and ELISA determination of total testosterone (TT), estradiol (E2), dehydroepiandrosterone sulphate (DHEA-S), sex hormone binding protein (SHBG), and the determination of fasting glucose (FPG), high-density lipids cholesterol (HDL-Ch), and triacylglycerols (TAG) in serum. The following indicators were calculated: body mass index (BMI), waist-to-hip ratio (WHR), lipid accumulation product (LAP), and visceral adiposity index (VAI). Results: Men with testosterone deficiency syndrome (TDS) differed in each of the assessed obesity indices from those without TDS. All of the studied parameters correlated significantly negatively with TT concentration in blood serum, with VAI being the strongest predictor of TDS. It was shown that the threshold value at which the risk of TDS increased was 28.41 kg/m2 for BMI, 1.58 for VAI, 104 cm for WC, and 37.01 for LAP. Conclusions: Indicators of fat accumulation that take into account biochemical parameters in assessing lipid metabolism are better markers of actual body fat deposition than indicators based solely on anthropometric measurements. Among them, VAI seems the most suitable biomarker of TDS in non-diabetic aging men.

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Section: Discussionmentioning

confidence: 99%

Cross-Sectional Inverse Associations of Obesity and Fat Accumulation Indicators with Testosterone in Non-Diabetic Aging Men

Rotter

Rył

Grzesiak

et al. 2018

IJERPH

View full text Add to dashboard Cite

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“…Data from the Massachusetts Male Aging Study (MMAS) [16] and the European Male Aging Study (EMAS) [17] performed in large groups of middle-aged and elderly men have shown that BMI and WC are independently associated with decreased values of total testosterone. Jaworski et al, in addition to observing an inverse association of testosterone with BMI and WC, further reported a higher strength of association between abdominal circumference and TT, when compared to the association between BMI and TT [18]. The only study in the literature that determined the relationship of WHt ratio with testosterone showed that the WHt ratio was more strongly correlated with TT than either WC or BMI [19].…”

Section: Discussionmentioning

confidence: 98%

Association of Waist-Height-Ratio, Waist Circumference, and Body Mass Index with Serum Testosterone Level in Apparently Healthy Men

Agbecha¹

2019

BMB

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Previous studies have shown that waist circumference (WC) may be a better predictor of serum testosterone level than body mass index (BMI). The determination of the waist-to-height ratio (WHt ratio) is reported to have certain advantages over other adiposity measures. Our study thus aimed at examining the utility of WHt ratio in addition to WC and BMI in determining their association with testosterone level. The case-control study involved apparently healthy male participants aged between 40 to 60 years. The study participants were divided into normal and abnormal groups according to WC, BMI, WHt ratio with their mean total testosterone level compared. The correlations of total testosterone and adiposity measures along with age adjustments were also determined. Individuals with WC>100cm had a significant low (P=0.003) testosterone level compared to their counterparts with WC<100cm. A significantly lowered (P=0.042) testosterone was observed in the study group with BMI>25kg/m 2 compared to the group with <25kg/m 2 . The study group with a WHt ratio of >0.5 had a significantly lower (P=0.012) testosterone than the group with <0.5. An inverse correlation of testosterone was observed with age (r=-0.567), BMI (r=-0.265), WC (r=-0.406), and WHt ratio (r=-0.412) in the apparently healthy Men studied. After adjustment for age, the correlation observed between testosterone and BMI (P=0.010), testosterone and WC (P=0.004), testosterone and WHt ratio (P=0.014) remained significant. After height adjustment, the correlation between testosterone and WHt ratio (P=0.002) also remained significant. In conclusion, the WHt ratio and WC independent of age were the best predictors of the total testosterone level in men.

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“…However, a longitudinal prospective study reported no correlation between BMI and testosterone levels after adjusting for age. 24 In addition, a bidirectional Mendelian randomization study suggested that BMI had a causal effect on serum testosterone levels in men. 25 Wood et al .…”

Section: Discussionmentioning

confidence: 99%

Associations of sex hormone levels with body mass index (BMI) in men: a cross-sectional study using quantile regression analysis

Jiang

Zhang

et al. 2022

Asian Journal of Andrology

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Body mass index (BMI) has been increasing globally in recent decades. Previous studies reported that BMI was associated with sex hormone levels, but the results were generated via linear regression or logistic regression, which would lose part of information. Quantile regression analysis can maximize the use of variable information. Our study compared the associations among different regression models. The participants were recruited from the Center of Reproductive Medicine, The First Hospital of Jilin University (Changchun, China) between June 2018 and June 2019. We used linear, logistic, and quantile regression models to calculate the associations between sex hormone levels and BMI. In total, 448 men were included in this study. The average BMI was 25.7 (standard deviation [s.d.]: 3.7) kg m −2 ; 29.7% ( n = 133) of the participants were normal weight, 45.3% ( n = 203) of the participants were overweight, and 23.4% ( n = 105) of the participants were obese. The levels of testosterone and estradiol significantly differed among BMI groups (all P < 0.05). In linear regression and logistic regression, BMI was associated with testosterone and estradiol levels (both P < 0.05). In quantile regression, BMI was negatively associated with testosterone levels in all quantiles after adjustment for age (all P < 0.05). BMI was positively associated with estradiol levels in most quantiles (≤80 th ) after adjustment for age (all P < 0.05). Our study suggested that BMI was one of the influencing factors of testosterone and estradiol. Of note, the quantile regression showed that BMI was associated with estradiol only up to the 80 th percentile of estradiol.

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Importance of abdominal circumference and body mass index values in predicting male hypogonadism – A practical approach

Cited by 6 publications

References 26 publications

Cross-Sectional Inverse Associations of Obesity and Fat Accumulation Indicators with Testosterone in Non-Diabetic Aging Men

Cross-Sectional Inverse Associations of Obesity and Fat Accumulation Indicators with Testosterone in Non-Diabetic Aging Men

Association of Waist-Height-Ratio, Waist Circumference, and Body Mass Index with Serum Testosterone Level in Apparently Healthy Men

Associations of sex hormone levels with body mass index (BMI) in men: a cross-sectional study using quantile regression analysis

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