Literature DB >> 9785371

Assessment of body composition in infants and children.

J J Reilly1.   

Abstract

The aims of this review are to consider 1) the applications of pediatric body composition methodology; 2) criteria for determining choice of method; and 3) some future developments. The major applications are: development and validation of new methods; assessment of growth or nutritional status; public health applications, such as monitoring the increasing prevalence of pediatric obesity; interpretation of data on energy expenditure; and testing the functional significance of variation in body composition. An appreciation of the underlying theoretical models (two-component and multicomponent models) is essential to an understanding of the methodology, as is an appreciation of the fact that infants and children are not "chemically mature." The two-component model generates methods that, though limited by variation in the composition of fat-free mass, have accuracy that is acceptable so long as the method in question is chosen with care. Criteria for determining choice of method are provided. Multicomponent models have a more rigorous theoretical basis, but require access to techniques that are not universally available and not always practical for pediatric use. Bedside methods, notably bioelectrical impedance and skinfold thickness, can provide acceptable accuracy, but the precision of all methods limits their ability to measure changes in body composition.

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Year:  1998        PMID: 9785371     DOI: 10.1016/s0899-9007(98)00093-8

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  9 in total

Review 1.  Body fat in children measured by DXA, air-displacement plethysmography, TBW and multicomponent models: a systematic review.

Authors:  Roberta de Vargas Zanini; Iná S Santos; Maria Aurora D Chrestani; Denise Petrucci Gigante
Journal:  Matern Child Health J       Date:  2015-07

2.  Fat-free mass mediates the association between birth weight and aerobic fitness in youth.

Authors:  C L Ridgway; S Brage; S Anderssen; L B Sardinha; L B Andersen; U Ekelund
Journal:  Int J Pediatr Obes       Date:  2010-11-04

3.  Clinical implications of malnutrition in childhood cancer patients--infections and mortality.

Authors:  E A H Loeffen; A Brinksma; K G E Miedema; G H de Bock; W J E Tissing
Journal:  Support Care Cancer       Date:  2014-07-11       Impact factor: 3.603

4.  Validation of simple epidemiological or clinical methods for the measurement of body composition in young children.

Authors:  Diane M Jackson; Zoe Donaghy; Kurosh Djafarian; John J Reilly
Journal:  Iran J Pediatr       Date:  2014-08-16       Impact factor: 0.364

5.  A study on the physical fitness of children with juvenile rheumatoid arthritis.

Authors:  Hyo-Jeong Kwon; You Lim Kim; Hyun Soo Lee; Suk Min Lee
Journal:  J Phys Ther Sci       Date:  2017-03-22

6.  Utilising active play interventions to promote physical activity and improve fundamental movement skills in children: a systematic review and meta-analysis.

Authors:  Avril Johnstone; Adrienne R Hughes; Anne Martin; John J Reilly
Journal:  BMC Public Health       Date:  2018-06-26       Impact factor: 3.295

7.  The Influence of Cultural Experiences on the Associations between Socio-Economic Status and Motor Performance as Well as Body Fat Percentage of Grade One Learners in Cape Town, South Africa.

Authors:  Eileen Africa; Odelia Van Stryp; Martin Musálek
Journal:  Int J Environ Res Public Health       Date:  2021-12-23       Impact factor: 3.390

Review 8.  Early-Life Obesity Prevention: Critique of Intervention Trials During the First One Thousand Days.

Authors:  John J Reilly; Anne Martin; Adrienne R Hughes
Journal:  Curr Obes Rep       Date:  2017-06

9.  Validity of bioelectrical impedance analysis in predicting total body water and adiposity among Senegalese school-aged children.

Authors:  Adama Diouf; Ousmane Diongue; Mégné Nde; Nicole Idohou-Dossou; Mbeugué Thiam; Salimata Wade
Journal:  PLoS One       Date:  2018-10-11       Impact factor: 3.240

  9 in total

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