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IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY

BACKGROUND: The female athlete triad (Triad) has been associated with increased risk of bone stress injury (BSI) in certain populations. Purpose: The purpose of this study is to evaluate the prevalence of Triad risk factors and identify hormonal and extrinsic factors that may influence Triad risk in...

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Autores principales: Skorseth, Paige, Segovia, Nicole, Hastings, Katherine, Dingel, Aleksei, Kraus, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225811/
http://dx.doi.org/10.1177/2325967120S00280
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author Skorseth, Paige
Segovia, Nicole
Hastings, Katherine
Dingel, Aleksei
Kraus, Emily
author_facet Skorseth, Paige
Segovia, Nicole
Hastings, Katherine
Dingel, Aleksei
Kraus, Emily
author_sort Skorseth, Paige
collection PubMed
description BACKGROUND: The female athlete triad (Triad) has been associated with increased risk of bone stress injury (BSI) in certain populations. Purpose: The purpose of this study is to evaluate the prevalence of Triad risk factors and identify hormonal and extrinsic factors that may influence Triad risk in high school (HS) distance runners. METHODS: Thirty-nine female HS distance runners completed a questionnaire, which included disordered eating (DE)/eating disorder (ED), menstrual irregularities, BSI history, and height/weight. Serum labs were obtained, including ferritin, 25-hydroxyvitamin D, estradiol, insulin-like growth factor, and free T3. Runners completed dual-energy x-ray absorptiometry to measure bone mineral density (BMD) using Z-scores that are age, sex and ethnicity-matched. Body fat percentage was also obtained. A risk score was then calculated using energy availability (EA), body mass index (BMI), age of menarche, oligomenorrhea, BMD, and history of BSI. The statistical model used was Spearman correlation coefficient. P-values<0.05 were considered statistically significant. RESULTS: The average age was 16.9 years. 76.3% of runners reported history of DE/ED, 23.7% delayed menarche, 45.0% amenorrhea or oligomenorrhea. 35.9% had low BMD (Z-score<-1.0) and 15.8% reported prior BSI. Average BMI was 19.8 kg/m(2) and average BMI percentile was 36.2. Low free T3 was significantly associated with higher Triad risk scores (Spearman=-0.36, p=0.028). The association of low BMD with low 25-hydroxyvitamin D neared statistical significance (Spearman=0.28, p=0.086). BMD was significantly correlated with body fat percentage and BMI percentile (body fat percentage rs=0.36, p=0.028; BMI percentile rs=0.48, p=0.002). CONCLUSIONS: The prevalence of individual Triad risk factors in HS distance runners was high, with an alarmingly increased number of athletes with history of DE/ED and over 1/3 of runners with low BMD. Free T3 was inversely associated with Triad risk scores, which may be an indicator of low EA. Proper screening for the Triad in HS runners is imperative to help identify risk factors which may lead to future BSI. Further research is needed on the role of lab assessments in risk stratification.
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spelling pubmed-72258112020-05-20 IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY Skorseth, Paige Segovia, Nicole Hastings, Katherine Dingel, Aleksei Kraus, Emily Orthop J Sports Med Article BACKGROUND: The female athlete triad (Triad) has been associated with increased risk of bone stress injury (BSI) in certain populations. Purpose: The purpose of this study is to evaluate the prevalence of Triad risk factors and identify hormonal and extrinsic factors that may influence Triad risk in high school (HS) distance runners. METHODS: Thirty-nine female HS distance runners completed a questionnaire, which included disordered eating (DE)/eating disorder (ED), menstrual irregularities, BSI history, and height/weight. Serum labs were obtained, including ferritin, 25-hydroxyvitamin D, estradiol, insulin-like growth factor, and free T3. Runners completed dual-energy x-ray absorptiometry to measure bone mineral density (BMD) using Z-scores that are age, sex and ethnicity-matched. Body fat percentage was also obtained. A risk score was then calculated using energy availability (EA), body mass index (BMI), age of menarche, oligomenorrhea, BMD, and history of BSI. The statistical model used was Spearman correlation coefficient. P-values<0.05 were considered statistically significant. RESULTS: The average age was 16.9 years. 76.3% of runners reported history of DE/ED, 23.7% delayed menarche, 45.0% amenorrhea or oligomenorrhea. 35.9% had low BMD (Z-score<-1.0) and 15.8% reported prior BSI. Average BMI was 19.8 kg/m(2) and average BMI percentile was 36.2. Low free T3 was significantly associated with higher Triad risk scores (Spearman=-0.36, p=0.028). The association of low BMD with low 25-hydroxyvitamin D neared statistical significance (Spearman=0.28, p=0.086). BMD was significantly correlated with body fat percentage and BMI percentile (body fat percentage rs=0.36, p=0.028; BMI percentile rs=0.48, p=0.002). CONCLUSIONS: The prevalence of individual Triad risk factors in HS distance runners was high, with an alarmingly increased number of athletes with history of DE/ED and over 1/3 of runners with low BMD. Free T3 was inversely associated with Triad risk scores, which may be an indicator of low EA. Proper screening for the Triad in HS runners is imperative to help identify risk factors which may lead to future BSI. Further research is needed on the role of lab assessments in risk stratification. SAGE Publications 2020-04-30 /pmc/articles/PMC7225811/ http://dx.doi.org/10.1177/2325967120S00280 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/ This open-access article is published and distributed under the Creative Commons Attribution - NonCommercial - No Derivatives License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits the noncommercial use, distribution, and reproduction of the article in any medium, provided the original author and source are credited. You may not alter, transform, or build upon this article without the permission of the Author(s). For article reuse guidelines, please visit SAGE’s website at http://www.sagepub.com/journals-permissions.
spellingShingle Article
Skorseth, Paige
Segovia, Nicole
Hastings, Katherine
Dingel, Aleksei
Kraus, Emily
IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title_full IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title_fullStr IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title_full_unstemmed IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title_short IDENTIFICATION OF FEMALE ATHLETE TRIAD RISK FACTORS IN HIGH SCHOOL DISTANCE RUNNERS AND PREVALENCE OF IRON SUPPLEMENTATION: A PILOT STUDY
title_sort identification of female athlete triad risk factors in high school distance runners and prevalence of iron supplementation: a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225811/
http://dx.doi.org/10.1177/2325967120S00280
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