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Validation of Self-Reported Anthropometrics in Female College Freshmen

Most investigations concerning the validity of self-reported anthropometrics focus on weight, height, and body mass index. This study extends those investigations by exploring the impact of self-reporting bias on the disease risk indicators of waist circumference and body fat percentage. Female coll...

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Detalles Bibliográficos
Autores principales: LEONE, RYAN J., MORGAN, AMY L., LUDY, MARY-JON
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Berkeley Electronic Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882461/
https://www.ncbi.nlm.nih.gov/pubmed/27293506
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author LEONE, RYAN J.
MORGAN, AMY L.
LUDY, MARY-JON
author_facet LEONE, RYAN J.
MORGAN, AMY L.
LUDY, MARY-JON
author_sort LEONE, RYAN J.
collection PubMed
description Most investigations concerning the validity of self-reported anthropometrics focus on weight, height, and body mass index. This study extends those investigations by exploring the impact of self-reporting bias on the disease risk indicators of waist circumference and body fat percentage. Female college freshmen (n=128) self-reported weight and height, then underwent measurements for weight, height, waist circumference, and body fat percentage. Self-reporting bias was defined as self-reported minus directly-assessed anthropometric value. Despite no differences in self-reported versus directly-assessed weight or height for the total group, students with high waist circumference and excess fat under-reported their weight by 2.3±4.4 lb (p<0.05). Self-reporting bias was negatively correlated with waist circumference (r=−0.362; p<0.001) and body fat percentage (r=−0.317; p<0.001). Although many female college freshmen accurately represent their weight, those with excess fat and waist circumference under-reported their weight. This may lead to missed opportunities for risk identification, prevention, and intervention.
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spelling pubmed-48824612016-06-09 Validation of Self-Reported Anthropometrics in Female College Freshmen LEONE, RYAN J. MORGAN, AMY L. LUDY, MARY-JON Int J Exerc Sci Original Research Most investigations concerning the validity of self-reported anthropometrics focus on weight, height, and body mass index. This study extends those investigations by exploring the impact of self-reporting bias on the disease risk indicators of waist circumference and body fat percentage. Female college freshmen (n=128) self-reported weight and height, then underwent measurements for weight, height, waist circumference, and body fat percentage. Self-reporting bias was defined as self-reported minus directly-assessed anthropometric value. Despite no differences in self-reported versus directly-assessed weight or height for the total group, students with high waist circumference and excess fat under-reported their weight by 2.3±4.4 lb (p<0.05). Self-reporting bias was negatively correlated with waist circumference (r=−0.362; p<0.001) and body fat percentage (r=−0.317; p<0.001). Although many female college freshmen accurately represent their weight, those with excess fat and waist circumference under-reported their weight. This may lead to missed opportunities for risk identification, prevention, and intervention. Berkeley Electronic Press 2016-01-15 /pmc/articles/PMC4882461/ /pubmed/27293506 Text en
spellingShingle Original Research
LEONE, RYAN J.
MORGAN, AMY L.
LUDY, MARY-JON
Validation of Self-Reported Anthropometrics in Female College Freshmen
title Validation of Self-Reported Anthropometrics in Female College Freshmen
title_full Validation of Self-Reported Anthropometrics in Female College Freshmen
title_fullStr Validation of Self-Reported Anthropometrics in Female College Freshmen
title_full_unstemmed Validation of Self-Reported Anthropometrics in Female College Freshmen
title_short Validation of Self-Reported Anthropometrics in Female College Freshmen
title_sort validation of self-reported anthropometrics in female college freshmen
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882461/
https://www.ncbi.nlm.nih.gov/pubmed/27293506
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