Cargando…

RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016

BACKGROUND: Metabolic syndrome (MetS) affects ∼10% of U.S. adolescents, especially those with obesity. Adolescent obesity is associated with adolescent hyperandrogenemia (HA), while adult HA is associated with increased risk of MetS in both asymptomatic women and women with polycystic ovary syndrome...

Descripción completa

Detalles Bibliográficos
Autores principales: McCartney, Christopher, Kim, Su, DeBoer, Mark, Pannone, Aaron, Solorzano, Christine Burt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9625496/
http://dx.doi.org/10.1210/jendso/bvac150.1470
_version_ 1784822511500787712
author McCartney, Christopher
Kim, Su
DeBoer, Mark
Pannone, Aaron
Solorzano, Christine Burt
author_facet McCartney, Christopher
Kim, Su
DeBoer, Mark
Pannone, Aaron
Solorzano, Christine Burt
author_sort McCartney, Christopher
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) affects ∼10% of U.S. adolescents, especially those with obesity. Adolescent obesity is associated with adolescent hyperandrogenemia (HA), while adult HA is associated with increased risk of MetS in both asymptomatic women and women with polycystic ovary syndrome (Torchen et al, Obesity [Silver Spring] 2020). Yet, the relationship between HA and severity of MetS during adolescence remains unclear. We investigated whether free testosterone (T) concentrations independently predict MetS severity in adolescent girls. METHODS: We performed a weighted analysis using data from the National Health and Nutrition Examination Survey (NHANES) for 2013–2016, utilizing a cross-sectional study design. In particular, we analyzed data from a nationally-representative sample of 230 girls aged 12-19 years. We performed regression analysis to evaluate whether free T (independent variable) predicted MetS Severity Z-score (outcome). In a multiple regression model, we adjusted for total percent body fat, age (months), and menarche status (premenarcheal vs. postmenarcheal). Free T was calculated (Vermuelen equation) from total T and sex hormone binding globulin (SHBG). MetS severity was determined by a calculator validated for children (Gurka et al, Metabolic Syndrome Severity Calculator, doi: 10.5281/zeondo.2542213; Gurka et al, Cardiovascular Diabetology 2012) using reported fasting labs and anthropometric parameters. As secondary analyses, we (1) repeated the above analysis substituting SHBG for free T in the primary cohort, and (2) repeated the above analysis substituting total T for tree T in an expanded cohort (n=251). RESULTS: In the primary cohort, MetS z-score was -0.27 (-0.41 to -0.13) [mean (95% CI)]; free T 4.0 pg/ml (3.7–4.3); total T 28.7 ng/dL (27.1–30.3); SHBG 60.8 nmol/L (54.0–67.6); total percent body fat 34.5% (33.3–35.6). In simple regression analyses, free T (R=0.11) and percent body fat (R=0.57) each predicted MetS z-score (p<0.001 for each), but age (p=0.68) and menarche status (p=0.18) did not. Our adjusted regression model accounted for 60% of the variance in MetS z-score (R(2)=0.60). Higher free T and percent body fat were independently associated with higher MetS z-score, while younger age was independently associated with higher MetS z-score (p<0.001 for each). When substituting SHBG and total T for free T, model R2 values were 0.61 and 0.59, respectively, with only percent body fat and age being significant independent predictors of MetS z-score in each model (SHBG, p=0.06; total T, p=0.90). CONCLUSION: We conclude that free T is an independent predictor of MetS severity in a nationally-representative sample of adolescent girls aged 12 to 19 years. Total T was not an independent predictor of MetS severity, suggesting that the relationship between free T and MetS z-score may partly reflect obesity-associated reductions in SHBG levels. These data suggest that HA may contribute to MetS severity in adolescent girls. Presentation: Saturday, June 11, 2022 1:06 p.m. - 1:11 p.m., Monday, June 13, 2022 12:30 p.m. - 2:30 p.m.
format Online
Article
Text
id pubmed-9625496
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-96254962022-11-14 RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016 McCartney, Christopher Kim, Su DeBoer, Mark Pannone, Aaron Solorzano, Christine Burt J Endocr Soc Reproductive Endocrinology BACKGROUND: Metabolic syndrome (MetS) affects ∼10% of U.S. adolescents, especially those with obesity. Adolescent obesity is associated with adolescent hyperandrogenemia (HA), while adult HA is associated with increased risk of MetS in both asymptomatic women and women with polycystic ovary syndrome (Torchen et al, Obesity [Silver Spring] 2020). Yet, the relationship between HA and severity of MetS during adolescence remains unclear. We investigated whether free testosterone (T) concentrations independently predict MetS severity in adolescent girls. METHODS: We performed a weighted analysis using data from the National Health and Nutrition Examination Survey (NHANES) for 2013–2016, utilizing a cross-sectional study design. In particular, we analyzed data from a nationally-representative sample of 230 girls aged 12-19 years. We performed regression analysis to evaluate whether free T (independent variable) predicted MetS Severity Z-score (outcome). In a multiple regression model, we adjusted for total percent body fat, age (months), and menarche status (premenarcheal vs. postmenarcheal). Free T was calculated (Vermuelen equation) from total T and sex hormone binding globulin (SHBG). MetS severity was determined by a calculator validated for children (Gurka et al, Metabolic Syndrome Severity Calculator, doi: 10.5281/zeondo.2542213; Gurka et al, Cardiovascular Diabetology 2012) using reported fasting labs and anthropometric parameters. As secondary analyses, we (1) repeated the above analysis substituting SHBG for free T in the primary cohort, and (2) repeated the above analysis substituting total T for tree T in an expanded cohort (n=251). RESULTS: In the primary cohort, MetS z-score was -0.27 (-0.41 to -0.13) [mean (95% CI)]; free T 4.0 pg/ml (3.7–4.3); total T 28.7 ng/dL (27.1–30.3); SHBG 60.8 nmol/L (54.0–67.6); total percent body fat 34.5% (33.3–35.6). In simple regression analyses, free T (R=0.11) and percent body fat (R=0.57) each predicted MetS z-score (p<0.001 for each), but age (p=0.68) and menarche status (p=0.18) did not. Our adjusted regression model accounted for 60% of the variance in MetS z-score (R(2)=0.60). Higher free T and percent body fat were independently associated with higher MetS z-score, while younger age was independently associated with higher MetS z-score (p<0.001 for each). When substituting SHBG and total T for free T, model R2 values were 0.61 and 0.59, respectively, with only percent body fat and age being significant independent predictors of MetS z-score in each model (SHBG, p=0.06; total T, p=0.90). CONCLUSION: We conclude that free T is an independent predictor of MetS severity in a nationally-representative sample of adolescent girls aged 12 to 19 years. Total T was not an independent predictor of MetS severity, suggesting that the relationship between free T and MetS z-score may partly reflect obesity-associated reductions in SHBG levels. These data suggest that HA may contribute to MetS severity in adolescent girls. Presentation: Saturday, June 11, 2022 1:06 p.m. - 1:11 p.m., Monday, June 13, 2022 12:30 p.m. - 2:30 p.m. Oxford University Press 2022-11-01 /pmc/articles/PMC9625496/ http://dx.doi.org/10.1210/jendso/bvac150.1470 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Reproductive Endocrinology
McCartney, Christopher
Kim, Su
DeBoer, Mark
Pannone, Aaron
Solorzano, Christine Burt
RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title_full RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title_fullStr RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title_full_unstemmed RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title_short RF10 | PMON242 Free Testosterone is an Independent Predictor of Metabolic Syndrome Severity in U.S. Adolescent Girls Ages 12-19, National Health and Nutrition Examination Survey (NHANES) 2013-2016
title_sort rf10 | pmon242 free testosterone is an independent predictor of metabolic syndrome severity in u.s. adolescent girls ages 12-19, national health and nutrition examination survey (nhanes) 2013-2016
topic Reproductive Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9625496/
http://dx.doi.org/10.1210/jendso/bvac150.1470
work_keys_str_mv AT mccartneychristopher rf10pmon242freetestosteroneisanindependentpredictorofmetabolicsyndromeseverityinusadolescentgirlsages1219nationalhealthandnutritionexaminationsurveynhanes20132016
AT kimsu rf10pmon242freetestosteroneisanindependentpredictorofmetabolicsyndromeseverityinusadolescentgirlsages1219nationalhealthandnutritionexaminationsurveynhanes20132016
AT deboermark rf10pmon242freetestosteroneisanindependentpredictorofmetabolicsyndromeseverityinusadolescentgirlsages1219nationalhealthandnutritionexaminationsurveynhanes20132016
AT pannoneaaron rf10pmon242freetestosteroneisanindependentpredictorofmetabolicsyndromeseverityinusadolescentgirlsages1219nationalhealthandnutritionexaminationsurveynhanes20132016
AT solorzanochristineburt rf10pmon242freetestosteroneisanindependentpredictorofmetabolicsyndromeseverityinusadolescentgirlsages1219nationalhealthandnutritionexaminationsurveynhanes20132016