Literature DB >> 24613145

Differences in body composition according to functional ability in preschool-aged children with cerebral palsy.

Jacqueline L Walker1, Kristie L Bell2, Richard D Stevenson3, Kelly A Weir4, Roslyn N Boyd5, Peter S W Davies6.   

Abstract

BACKGROUND & AIMS: Altered body composition is evident in school children with cerebral palsy (CP). Fat free mass and fat mass amounts differ according to functional ability and compared to typically developing children (TDC). The extent to which body composition is altered in preschool-aged children with CP is unknown. We aimed to determine the fat free mass index (FFMI) and body fat percentage (BF%) of preschool-aged children with CP and investigate differences according to functional ability and compared to TDC.
METHODS: Eighty-five children with CP (68% male) of all functional abilities, motor types and distributions and 16 TDC (63% male) aged 1.4-5.1 years participated in this cross-sectional study. Body composition was determined via isotope dilution. Children with CP were classified into groups based on their Gross Motor Function Classification System (GMFCS) level. Statistical analyses were via ANOVA, ANCOVA, post-hoc Tukey HSD tests, independent t-tests and multiple regressions.
RESULTS: There were no significant differences in FFMI or BF% when comparing all children with CP to TDC. Children classified as GMFCS levels III, IV and V had significantly lower FFMI levels compared to children classified as GMFCS I and II (p < 0.05). Children of GMFCS IV and V had the highest mean (± SD) BF% of all children (24.6% (± 10.7%)), significantly higher than children of GMFCS I and II (18.6% (± 6.8%), p < 0.05).
CONCLUSIONS: Altered body composition is evident in preschool-aged children with CP, with a trend towards lower FFMI levels and greater BF% across functional ability levels from GMFCS I to V. Further research is required to determine optimal body composition parameters and investigate contributing factors. CLINICAL TRIAL REGISTRY: Australian New Zealand Clinical Trials Registry (ANZCTR) number: ACTRN12611000616976.
Copyright © 2014 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Entities:  

Keywords:  Body composition; Cerebral palsy; Children; Functional ability

Mesh:

Year:  2014        PMID: 24613145     DOI: 10.1016/j.clnu.2014.02.007

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  6 in total

1.  SF-36 physical function and general health domains are independent predictors of acute hospital length of stay after hip fracture surgery.

Authors:  Craigven H S Sim; Rehena Sultana; Kenny X K Tay; C Y Howe; T S Howe; Joyce S B Koh
Journal:  Musculoskelet Surg       Date:  2022-07-07

2.  5-year fracture risk among children with cerebral palsy.

Authors:  Daniel G Whitney
Journal:  Pediatr Res       Date:  2022-07-19       Impact factor: 3.953

3.  The Effect of a Horse-Riding Simulator with Virtual Reality on Gross Motor Function and Body Composition of Children with Cerebral Palsy: Preliminary Study.

Authors:  Yong Gi Jung; Hyun Jung Chang; Eun Sol Jo; Da Hye Kim
Journal:  Sensors (Basel)       Date:  2022-04-10       Impact factor: 3.847

Review 4.  Bone Marrow Fat Physiology in Relation to Skeletal Metabolism and Cardiometabolic Disease Risk in Children With Cerebral Palsy.

Authors:  Daniel G Whitney; Mark D Peterson; Maureen J Devlin; Michelle S Caird; Edward A Hurvitz; Christopher M Modlesky
Journal:  Am J Phys Med Rehabil       Date:  2018-12       Impact factor: 2.159

5.  Gastrocnemius Medialis Muscle Geometry and Extensibility in Typically Developing Children and Children With Spastic Paresis Aged 6-13 Years.

Authors:  Guido Weide; Peter A Huijing; Lynn Bar-On; Lizeth Sloot; Annemieke I Buizer; Jules G Becher; Jaap Harlaar; Richard T Jaspers
Journal:  Front Physiol       Date:  2020-11-23       Impact factor: 4.566

6.  BMI does not capture the high fat mass index and low fat-free mass index in children with cerebral palsy and proposed statistical models that improve this accuracy.

Authors:  Daniel G Whitney; Freeman Miller; Ryan T Pohlig; Christopher M Modlesky
Journal:  Int J Obes (Lond)       Date:  2018-09-04       Impact factor: 5.095

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.