Development and Validation of a Risk-Assessment Tool for Energy Deficiency in Young Active Females: The Female Energy Deficiency Questionnaire (FED-Q).
Ana Carla C Salamunes,Nancy I Williams,Marion Olmsted,Kristen J Koltun,Prabhani Kuruppumullage Don,Mary Jane De Souza
{"title":"Development and Validation of a Risk-Assessment Tool for Energy Deficiency in Young Active Females: The Female Energy Deficiency Questionnaire (FED-Q).","authors":"Ana Carla C Salamunes,Nancy I Williams,Marion Olmsted,Kristen J Koltun,Prabhani Kuruppumullage Don,Mary Jane De Souza","doi":"10.1249/mss.0000000000003742","DOIUrl":null,"url":null,"abstract":"PURPOSE\r\nWe aimed to develop and validate a risk-assessment tool for energy deficiency in young exercising women using disordered eating subscales and self-reported health-related information.\r\n\r\nMETHODS\r\nWe retrospectively analyzed 7 studies in competitive and recreationally active women [n = 202, age 21.7 ± 0.3 years, body mass index (BMI) 21.21 ± 0.14 kg/m2, (mean ± SEM)]. Participants completed the Health, Exercise and Nutrition Survey (HENS), the Three-Factor Eating Questionnaire (TFEQ), and the Eating Disorder Inventory-3 (EDI-3). Energy deficiency was defined as fasting serum total triiodothyronine (TT3) <73.2 ng/dL. A cut-off of TT3 < 80 ng/dL was also tested. Potential predictors of energy deficiency were: age of menarche, gynecological age, disordered eating, menstrual status, and bone health items (HENS); dietary cognitive restraint (TFEQ); and Perfectionism, Body Dissatisfaction, and Drive for Thinness (EDI-3). A model set (n = 152; 21.8 ± 0.3 years, 21.23 ± 0.16 kg/m2) was used to select predictors, identify interaction terms, and fit 500 random iterations of stepwise logistic regression. Predictors included in ≥450 models were used in a final model and tested on a validation set (n = 50; 21.6 ± 0.4 years, 21.15 ± 0.3 kg/m2).\r\n\r\nRESULTS\r\nThe final model included BMI; number of menstrual cycles in the last 6 months, dietary cognitive restraint, and body dissatisfaction index. The FED-Q coefficient detected TT3 < 73.2 ng/dL with 84.2% sensitivity, 80.6% specificity, and 82% accuracy, and TT3 < 80 ng/dL with 85% sensitivity, 83.3% specificity, and 84% accuracy.\r\n\r\nCONCLUSIONS\r\nAt present, the Female Energy Deficiency Questionnaire is the only questionnaire that is specifically designed as an indicator of energy deficiency in female athletes across a variety of sports.","PeriodicalId":18500,"journal":{"name":"Medicine & Science in Sports & Exercise","volume":"35 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine & Science in Sports & Exercise","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1249/mss.0000000000003742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
PURPOSE
We aimed to develop and validate a risk-assessment tool for energy deficiency in young exercising women using disordered eating subscales and self-reported health-related information.
METHODS
We retrospectively analyzed 7 studies in competitive and recreationally active women [n = 202, age 21.7 ± 0.3 years, body mass index (BMI) 21.21 ± 0.14 kg/m2, (mean ± SEM)]. Participants completed the Health, Exercise and Nutrition Survey (HENS), the Three-Factor Eating Questionnaire (TFEQ), and the Eating Disorder Inventory-3 (EDI-3). Energy deficiency was defined as fasting serum total triiodothyronine (TT3) <73.2 ng/dL. A cut-off of TT3 < 80 ng/dL was also tested. Potential predictors of energy deficiency were: age of menarche, gynecological age, disordered eating, menstrual status, and bone health items (HENS); dietary cognitive restraint (TFEQ); and Perfectionism, Body Dissatisfaction, and Drive for Thinness (EDI-3). A model set (n = 152; 21.8 ± 0.3 years, 21.23 ± 0.16 kg/m2) was used to select predictors, identify interaction terms, and fit 500 random iterations of stepwise logistic regression. Predictors included in ≥450 models were used in a final model and tested on a validation set (n = 50; 21.6 ± 0.4 years, 21.15 ± 0.3 kg/m2).
RESULTS
The final model included BMI; number of menstrual cycles in the last 6 months, dietary cognitive restraint, and body dissatisfaction index. The FED-Q coefficient detected TT3 < 73.2 ng/dL with 84.2% sensitivity, 80.6% specificity, and 82% accuracy, and TT3 < 80 ng/dL with 85% sensitivity, 83.3% specificity, and 84% accuracy.
CONCLUSIONS
At present, the Female Energy Deficiency Questionnaire is the only questionnaire that is specifically designed as an indicator of energy deficiency in female athletes across a variety of sports.