Fat-free mass predictive equation using bioelectrical impedance and maturity offset in adolescent athletes: Development and cross-validation. 2024

Andressa Cabral de Miranda, and Gabriela Morgado de Oliveira Coelho, and Marcus Vinícius de Oliveira Cattem, and Josely Correa Koury
Nutrition Institute, State University of Rio de Janeiro, Brazil.

OBJECTIVE This is a cross-sectional study, aimed to develop and cross-validate a fat-free mass (FFM) predictive equation using single-frequency bioelectrical impedance (BIA), considering the predicted age at peak height velocity (PHV) as a variable. Additionally, the study aims to test the FFM-BIA obtained using a previous predictive equation that used skeletal maturity as a variable. METHODS The participants (n = 169 male adolescent athletes) were randomly divided into two groups: development of a new predictive equation (n = 113), and cross-validation (n = 56). The concordance test between the FFM values obtained by Koury et al. predictive equation and DXA data was determined (n = 169). Bioelectrical data was obtained using a single-frequency analyzer. RESULTS Among the models tested, the new predictive equation has resistance index (height2/resistance) and predictive age at PHV as variables and presented R2 = 0.918. The frequency of maturity status using skeletal maturity and PHV diagnosis was inadequate (Kappa = 0.4257; 95%CI = 0.298-0.553). Bland-Altman plots and concordance correlation coefficient showed substantial concordance between the FFM-DXA values (48.8 ± 11.2 kg) and the new predictive equation (CCC = 0.960). The results showed that the new equation performed better than the equation developed by Koury et al. (CCC = 0.901). CONCLUSIONS Our results show that it is feasible to predict FFM in male adolescent athletes using predictive age at PHV, with moderate concordance. The calculation of FFM using more economical and less complex variables is viable and should be further explored.

UI MeSH Term Description Entries
D008297 Male Males
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D001823 Body Composition The relative amounts of various components in the body, such as percentage of body fat. Body Compositions,Composition, Body,Compositions, Body
D001827 Body Height The distance from the sole to the crown of the head with body standing on a flat surface and fully extended. Body Heights,Height, Body,Heights, Body
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D015203 Reproducibility of Results The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results. Reliability and Validity,Reliability of Result,Reproducibility Of Result,Reproducibility of Finding,Validity of Result,Validity of Results,Face Validity,Reliability (Epidemiology),Reliability of Results,Reproducibility of Findings,Test-Retest Reliability,Validity (Epidemiology),Finding Reproducibilities,Finding Reproducibility,Of Result, Reproducibility,Of Results, Reproducibility,Reliabilities, Test-Retest,Reliability, Test-Retest,Result Reliabilities,Result Reliability,Result Validities,Result Validity,Result, Reproducibility Of,Results, Reproducibility Of,Test Retest Reliability,Validity and Reliability,Validity, Face
D015502 Absorptiometry, Photon A noninvasive method for assessing BODY COMPOSITION. It is based on the differential absorption of X-RAYS (or GAMMA RAYS) by different tissues such as bone, fat and other soft tissues. The source of (X-ray or gamma-ray) photon beam is generated either from radioisotopes such as GADOLINIUM 153, IODINE 125, or Americanium 241 which emit GAMMA RAYS in the appropriate range; or from an X-ray tube which produces X-RAYS in the desired range. It is primarily used for quantitating BONE MINERAL CONTENT, especially for the diagnosis of OSTEOPOROSIS, and also in measuring BONE MINERALIZATION. Absorptiometry, X-Ray,Dual-Photon Absorptiometry,Photodensitometry, X-Ray,Photon Absorptiometry,Single-Photon Absorptiometry,X-Ray Absorptiometry,Absorptiometry, Dual X-Ray,Absorptiometry, Dual-Energy Radiographic,Absorptiometry, Dual-Energy X-Ray,DEXA Scan,DPX Absorptiometry,DXA Scan,Densitometry, X-Ray,Densitometry, Xray,Dual X-Ray Absorptiometry,Dual-Energy Radiographic Absorptiometry,Dual-Energy X-Ray Absorptiometry,Dual-Energy X-Ray Absorptiometry Scan,Radiographic Absorptiometry, Dual-Energy,X-Ray Absorptiometry, Dual-Energy,X-Ray Photodensitometry,Absorptiometries, DPX,Absorptiometry, DPX,Absorptiometry, Dual Energy Radiographic,Absorptiometry, Dual Energy X Ray,Absorptiometry, Dual X Ray,Absorptiometry, Dual-Photon,Absorptiometry, Single-Photon,Absorptiometry, X Ray,DEXA Scans,DXA Scans,Densitometry, X Ray,Dual Energy Radiographic Absorptiometry,Dual Energy X Ray Absorptiometry,Dual Energy X Ray Absorptiometry Scan,Dual Photon Absorptiometry,Dual X Ray Absorptiometry,Photodensitometry, X Ray,Radiographic Absorptiometry, Dual Energy,Scan, DEXA,Scan, DXA,Scans, DEXA,Scans, DXA,Single Photon Absorptiometry,X Ray Absorptiometry,X Ray Absorptiometry, Dual Energy,X Ray Photodensitometry,X-Ray Absorptiometry, Dual,X-Ray Densitometry,Xray Densitometry

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