Predictive Power of Lipid-related Indicators for Testosterone Deficiency: a Comparative Analysis, NHANES 2011-2016

Overview

Journal Int Urol Nephrol

Publisher Springer

Specialty Nephrology

Date 2024 Jan 27

PMID 38280934

Authors

Mengyu Zhang

Jiankang Zhang

Yunzhi Cui

Zengshu Xing

Affiliations

Soon will be listed here.

Abstract

Background: Studies have shown that lipid-related indicators are associated with testosterone deficiency. However, it is difficult to determine which indicator is the most accurate predictor of testosterone deficiency. We aimed to identify the lipid-related indicators most predictive of testosterone deficiency in adults in the United States.

Methods: This observational research was conducted on a population aged ≥ 20 years. By plotting the receiver operating characteristic curve (ROC) and obtaining the corresponding area under the curve (AUC) value, we assessed the predictive capacity of TyG, WTI, LAP, and VAI for testosterone deficiency. We compared the area under the curve (AUC) values of these measures to determine if there were any statistically significant differences. The relationship between lipid-related indices and testosterone hormones was investigated using regression modeling, eXtreme Gradient Boosting (XGBoost) modeling, and sensitivity analysis.

Results: A total of 3,272 eligible participants were included in the study. Testosterone deficiency was found to exist in 20.63% of the participants. Subjects with higher lipid-related markers were more likely to have lower testosterone levels. LAP was the best predictor of testosterone deficiency in ROC analysis over other indicators (AUC = 0.7176, (95% CI: 0.6964-0.7389)).

Conclusion: LAP is the most straightforward and convenient indicator for identifying testosterone deficiency in clinical practice.

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References

Orwoll E, Oviatt S, McClung M, Deftos L, Sexton G . The rate of bone mineral loss in normal men and the effects of calcium and cholecalciferol supplementation. Ann Intern Med. 1990; 112(1):29-34. DOI: 10.7326/0003-4819-112-1-29. View

Wang N, Wang L, Huang C . Association of total testosterone status with bone mineral density in adults aged 40-60 years. J Orthop Surg Res. 2021; 16(1):612. PMC: 8522080. DOI: 10.1186/s13018-021-02714-w. View

Borst S, Yarrow J . Injection of testosterone may be safer and more effective than transdermal administration for combating loss of muscle and bone in older men. Am J Physiol Endocrinol Metab. 2015; 308(12):E1035-42. PMC: 6189635. DOI: 10.1152/ajpendo.00111.2015. View

Morley J, Kaiser F, Perry 3rd H, Patrick P, Morley P, Stauber P . Longitudinal changes in testosterone, luteinizing hormone, and follicle-stimulating hormone in healthy older men. Metabolism. 1997; 46(4):410-3. DOI: 10.1016/s0026-0495(97)90057-3. View

Zmuda J, Cauley J, Kriska A, Glynn N, Gutai J, Kuller L . Longitudinal relation between endogenous testosterone and cardiovascular disease risk factors in middle-aged men. A 13-year follow-up of former Multiple Risk Factor Intervention Trial participants. Am J Epidemiol. 1997; 146(8):609-17. DOI: 10.1093/oxfordjournals.aje.a009326. View

Kupelian V, Page S, Araujo A, Travison T, Bremner W, McKinlay J . Low sex hormone-binding globulin, total testosterone, and symptomatic androgen deficiency are associated with development of the metabolic syndrome in nonobese men. J Clin Endocrinol Metab. 2006; 91(3):843-50. DOI: 10.1210/jc.2005-1326. View

Laaksonen D, Niskanen L, Punnonen K, Nyyssonen K, Tuomainen T, Salonen R . Sex hormones, inflammation and the metabolic syndrome: a population-based study. Eur J Endocrinol. 2003; 149(6):601-8. DOI: 10.1530/eje.0.1490601. View

Steins Bisschop C, Peeters P, Monninkhof E, van der Schouw Y, May A . Associations of visceral fat, physical activity and muscle strength with the metabolic syndrome. Maturitas. 2013; 76(2):139-45. DOI: 10.1016/j.maturitas.2013.06.015. View

Kelly D, Jones T . Testosterone and obesity. Obes Rev. 2015; 16(7):581-606. DOI: 10.1111/obr.12282. View

10.

Cornier M, Despres J, Davis N, Grossniklaus D, Klein S, Lamarche B . Assessing adiposity: a scientific statement from the American Heart Association. Circulation. 2011; 124(18):1996-2019. DOI: 10.1161/CIR.0b013e318233bc6a. View

11.

Oliveros E, Somers V, Sochor O, Goel K, Lopez-Jimenez F . The concept of normal weight obesity. Prog Cardiovasc Dis. 2014; 56(4):426-33. DOI: 10.1016/j.pcad.2013.10.003. View

12.

Ness-Abramof R, Apovian C . Waist circumference measurement in clinical practice. Nutr Clin Pract. 2008; 23(4):397-404. DOI: 10.1177/0884533608321700. View

13.

Mahmoud I, Al-Wandi A, Gharaibeh S, Mohamed S . Concordances and correlations between anthropometric indices of obesity: a systematic review. Public Health. 2021; 198:301-306. DOI: 10.1016/j.puhe.2021.07.042. View

14.

Amato M, Giordano C, Galia M, Criscimanna A, Vitabile S, Midiri M . Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 2010; 33(4):920-2. PMC: 2845052. DOI: 10.2337/dc09-1825. View

15.

Qing L, Wei R, Chan L, Xiaoya Z, Xin X . Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency. J Endocrinol Invest. 2017; 40(6):653-661. PMC: 5443877. DOI: 10.1007/s40618-017-0621-2. View

16.

Joshi H, Shah K, Patel P, Prajapati J, Parmar M, Doshi D . Novel indexes for diagnosing metabolic syndrome in apparently healthy Gujarati Asian Indians: a cross-sectional study. QJM. 2016; 109(11):717-722. DOI: 10.1093/qjmed/hcw056. View

17.

Tellechea M, Aranguren F, Martinez-Larrad M, Serrano-Rios M, Taverna M, Frechtel G . Ability of lipid accumulation product to identify metabolic syndrome in healthy men from Buenos Aires. Diabetes Care. 2009; 32(7):e85. DOI: 10.2337/dc08-2284. View

18.

Duan Y, Zhang W, Li Z, Niu Y, Chen Y, Liu X . Predictive ability of obesity- and lipid-related indicators for metabolic syndrome in relatively healthy Chinese adults. Front Endocrinol (Lausanne). 2022; 13:1016581. PMC: 9715593. DOI: 10.3389/fendo.2022.1016581. View

19.

Roberts C, Hevener A, Barnard R . Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training. Compr Physiol. 2013; 3(1):1-58. PMC: 4129661. DOI: 10.1002/cphy.c110062. View

20.

DeFronzo R, Tobin J, Andres R . Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol. 1979; 237(3):E214-23. DOI: 10.1152/ajpendo.1979.237.3.E214. View