Cardiorespiratory fitness and the relationship between body fat and resting testosterone in men

Hosick, Peter A.; Matthews, Evan L.; Leigh, Steven R.

doi:10.1080/13813455.2018.1491996

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…We speculate that a decline in testosterone levels with age could affect physiological variables (DeFina et al 2018;Hosick et al 2018;Kelsey et al 2014), which may influence results when using the EB equation for men. Another explanation might be that both pre-pubertal boys and elderly men with low absolute VO 2 max are outside or at the lower end of the VO 2 max range in the EB sample for men in Bjorkman et al (2016), indicating a more uncertain estimation Fig.…”

Section: Discussionmentioning

confidence: 99%

Criterion validity of the Ekblom-Bak and the Åstrand submaximal test in an elderly population

et al. 2019

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The aim of this study was to validate the submaximal Ekblom-Bak test (EB-test) and the Åstrand test (Å-test) for an elderly population. Methods Participants (n = 104), aged 65-75 years, completed a submaximal aerobic test on a cycle ergometer followed by an individually adjusted indirect calorimetry VO 2 max test on a treadmill. The HR from the submaximal test was used to estimate VO 2 max using both the EB-test and Å-test equations. Results The correlation between measured and estimated VO 2 max using the EB method and Å method in women was r = 0.64 and r = 0.58, respectively and in men r = 0.44 and r = 0.44, respectively. In women, the mean difference between estimated and measured VO 2 max was − 0.02 L min −1 (95% CI − 0.08 to 0.04) for the EB method and − 0.12 L min −1 (95% CI − 0.22 to − 0.02) for the Å method. Corresponding values for men were 0.05 L min −1 (95% CI − 0.04 to 0.14) and − 0.28 L min −1 (95% CI − 0.42 to − 0.14), respectively. However, the EB method was found to overestimate VO 2 max in men with low fitness and the Å method was found to underestimate VO 2 max in both women and men. For women, the coefficient of variance was 11.1%, when using the EB method and 19.8% when using the Å method. Corresponding values for men were 11.6% and 18.9%, respectively. Conclusion The submaximal EB-test is valid for estimating VO 2 max in elderly women, but not in all elderly men. The Å-test is not valid for estimating VO 2 max in the elderly.

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Section: Discussionmentioning

confidence: 99%

Criterion validity of the Ekblom-Bak and the Åstrand submaximal test in an elderly population

et al. 2019

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“…Others also supported the hypothesis that the relationship between TT levels and key PF variables is mediated by age and body composition. In a study that investigated the relationship between adiposity, CRF, and serum TT levels, bivariate correlations were moderately significant when CRF was controlled for BF%, or vice-versa, but remained weaker for testosterone itself [ 53 ]. Similar to our results, this finding also suggests that body fat mediates the association between CRF with serum TT.…”

Section: Discussionmentioning

confidence: 99%

Association of Endogenous Testosterone with Physical Fitness Measures during Firefighter Occupational Health Evaluations

Porto,

Soares,

Ranadive

et al. 2024

IJERPH

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Firefighting is a physically demanding profession associated with unacceptably high on-duty cardiovascular mortality. Low endogenous total testosterone (TT) is an emerging cardiometabolic (CM) risk factor in men, but limited data exists on its interactions with physical fitness (PF). Data from occupational health and fitness assessments of 301 male career firefighters (FFs) were analyzed. TT was categorized as low (<264 ng/dL), borderline (264–399 ng/dL), and reference (400–916 ng/dL). PF tests included cardiorespiratory fitness (submaximal treadmill), body fat percentage (BF%), push-ups, plank, and handgrip strength assessments. In the crude analyses, FFs in the low TT group had worse muscular and cardiorespiratory fitness measures compared to the referent group. However, after adjusting for age and BF%, none of the PF differences remained statistically significant. Similarly, the odds of less-fit FFs (PF performance below median values) having low TT were higher compared to the fitter ones only before adjusting for age and BF%. Therefore, in the final adjusted model, there was no significant association between TT and PF. Our data suggest that age and body fat confound the association between PF and TT. Low TT and poor PF are important components of FFs’ CM risk profile, and there is potential benefit to considering TT screening as part of a comprehensive occupational health program that manages performing medical evaluations and provides education and preventative programming.

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“…While the exact mechanisms linking obesity with reduced TT and SHBG concentrations are not well understood, several biological mechanisms have been proposed. These include hyperinsulinemia, hyperlipidemia, hyperleptinemia, and chronic inflammation (Gapstur et al, 2007; Hosick et al, 2020; Lainez & Coss, 2019; Osuna et al, 2006). Moreover, testosterone and obesity demonstrate a bi‐directional relationship (Kelly & Jones, 2015).…”

Section: Discussionmentioning

confidence: 99%

Examining the associations between testosterone and biomarkers as men age

Smith

Bekele

Lopresti

et al. 2023

American J Hum Biol

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ObjectivesTestosterone concentrations in men decline with advancing age. However, the cause of the decline is yet to be fully elucidated. Therefore, the aims of this study were to examine the associations between chronic diseases such as obesity and type 2 diabetes mellitus (T2DM) with total testosterone (TT) and sex hormone‐binding globulin (SHBG), using a large nationally‐representative data set (National Health and Nutrition Examination Survey; NHANES).MethodsNHANES is a cross‐sectional survey, physical examination, and laboratory evaluation of a nationally‐representative sample of a non‐institutionalized United States population. Male participants aged ≥18 years during the NHANES 2013–2014 and NHANES 2015–2016 survey periods were selected for this analysis. The analysis included the following data: body mass index (BMI), oral glucose tolerance test (OGTT), homeostatic model assessment of insulin resistance (HOMA‐IR), insulin, glucose, and age.ResultsAn overweight or obese condition was significantly inversely associated with TT and SHBG, even after adjusting for other variables. Several variables associated with T2DM (OGTT, HOMA‐IR, insulin, and glucose) were also inversely associated with TT; however, only the associations between OGTT and insulin with TT remained significant after adjusting for the other variables. Insulin and HOMA‐IR levels were significantly inversely associated with SHBG; however, only the association between SHBG and pre‐diabetic HOMA‐IR levels remained significant after adjusting for the other variables. OGTT became significantly associated with SHBG after adjusting for the other variables. Age was significantly inversely associated with TT, but positively associated with SHBG, even after adjusting for other variables.ConclusionThe results of the present study, which is the largest to date, indicate that a marker of obesity, BMI, and some markers of T2DM are both independently and significantly inversely associated with TT and SHBG.

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Cardiorespiratory fitness and the relationship between body fat and resting testosterone in men

Abstract: Cardiovascular fitness or weight status may independently influence RTL in males.

Cited by 4 publications

References 21 publications

Criterion validity of the Ekblom-Bak and the Åstrand submaximal test in an elderly population

Criterion validity of the Ekblom-Bak and the Åstrand submaximal test in an elderly population

Association of Endogenous Testosterone with Physical Fitness Measures during Firefighter Occupational Health Evaluations

Examining the associations between testosterone and biomarkers as men age

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