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Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders

BACKGROUND: Healthy body weight (HBW) determination affects multiple aspects of eating disorder (ED) treatment. For example, it can inform patients and providers as to when return of menses (ROM), an objective determinant of health, can occur. Growth curves (GCs) are sensitive indicators of health i...

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Autores principales: Harrison, Megan E, Obeid, Nicole, Fu, Maeghan CY, Norris, Mark L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846893/
https://www.ncbi.nlm.nih.gov/pubmed/24010557
http://dx.doi.org/10.1186/1471-2296-14-134
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author Harrison, Megan E
Obeid, Nicole
Fu, Maeghan CY
Norris, Mark L
author_facet Harrison, Megan E
Obeid, Nicole
Fu, Maeghan CY
Norris, Mark L
author_sort Harrison, Megan E
collection PubMed
description BACKGROUND: Healthy body weight (HBW) determination affects multiple aspects of eating disorder (ED) treatment. For example, it can inform patients and providers as to when return of menses (ROM), an objective determinant of health, can occur. Growth curves (GCs) are sensitive indicators of health in youth and when up to date provide critical information regarding normal and expected trajectories of growth. Although not widely recommended as a first line tool for HBW calculation, a GC guides providers selecting a HBW that is individualized to each patient. The primary aim of this paper was to assess availability and feasibility of utilizing GC data for HBW prediction in adolescents referred for an ED assessment. We also sought to determine how this calculation compared to the standardized HBW calculation that uses mean body mass index (BMI) for age and how each of these numbers compared to the actual weight at ROM. METHODS: A retrospective chart review was completed on outpatients assessed for EDs between January 2004 and December 2006. A total of 102 patients met inclusion criteria. Demographic information, GC data, HBW predictions, and menstrual history were analyzed. A comparison of predicted HBWs using the aforementioned calculations and weight at ROM was performed using t-test analyses. RESULTS: Eighty-one patients (79.4%) had GC data available at assessment although HBW prediction was possible in only 24 patients (23.8%) due to poor GC completion. Of those 24 patients, 9 had ROM data available; no significant difference between our predicted HBW and the weight at ROM was found in these patients. In cases where HBW predictions could be compared using GC data and the BMI method, we found the GC calculation to be overall superior. CONCLUSIONS: We found overall rates of GC completion to be very low in our patients, which in turn limited the feasibility of relying on a GC for HBW calculation in ED patients. When complete, GCs provide accurate HBWs for most patients with EDs although it is clear that secondary methods of calculation are required given the gaps in data observed using this cohort.
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spelling pubmed-38468932013-12-04 Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders Harrison, Megan E Obeid, Nicole Fu, Maeghan CY Norris, Mark L BMC Fam Pract Research Article BACKGROUND: Healthy body weight (HBW) determination affects multiple aspects of eating disorder (ED) treatment. For example, it can inform patients and providers as to when return of menses (ROM), an objective determinant of health, can occur. Growth curves (GCs) are sensitive indicators of health in youth and when up to date provide critical information regarding normal and expected trajectories of growth. Although not widely recommended as a first line tool for HBW calculation, a GC guides providers selecting a HBW that is individualized to each patient. The primary aim of this paper was to assess availability and feasibility of utilizing GC data for HBW prediction in adolescents referred for an ED assessment. We also sought to determine how this calculation compared to the standardized HBW calculation that uses mean body mass index (BMI) for age and how each of these numbers compared to the actual weight at ROM. METHODS: A retrospective chart review was completed on outpatients assessed for EDs between January 2004 and December 2006. A total of 102 patients met inclusion criteria. Demographic information, GC data, HBW predictions, and menstrual history were analyzed. A comparison of predicted HBWs using the aforementioned calculations and weight at ROM was performed using t-test analyses. RESULTS: Eighty-one patients (79.4%) had GC data available at assessment although HBW prediction was possible in only 24 patients (23.8%) due to poor GC completion. Of those 24 patients, 9 had ROM data available; no significant difference between our predicted HBW and the weight at ROM was found in these patients. In cases where HBW predictions could be compared using GC data and the BMI method, we found the GC calculation to be overall superior. CONCLUSIONS: We found overall rates of GC completion to be very low in our patients, which in turn limited the feasibility of relying on a GC for HBW calculation in ED patients. When complete, GCs provide accurate HBWs for most patients with EDs although it is clear that secondary methods of calculation are required given the gaps in data observed using this cohort. BioMed Central 2013-09-08 /pmc/articles/PMC3846893/ /pubmed/24010557 http://dx.doi.org/10.1186/1471-2296-14-134 Text en Copyright © 2013 Harrison et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Harrison, Megan E
Obeid, Nicole
Fu, Maeghan CY
Norris, Mark L
Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title_full Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title_fullStr Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title_full_unstemmed Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title_short Growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
title_sort growth curves in short supply: a descriptive study of the availability and utility of growth curve data in adolescents with eating disorders
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846893/
https://www.ncbi.nlm.nih.gov/pubmed/24010557
http://dx.doi.org/10.1186/1471-2296-14-134
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