ArticleNutrients2016
The Tanita SC-240 to Assess Body Composition in Pre-School Children: An Evaluation against the Three Component Model.
Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Joint Angular Kinematics and Gross Motor Function in Typically Developing Healthy Children.Children (Basel, Switzerland) · 2025Article
- A cross-sectional study of the impact of school neighbourhood on children obesity and body composition.European journal of pediatrics · 2021Article
- Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults.Clinical interventions in aging · 2020Article
- Caesarean section delivery and childhood obesity in a British longitudinal cohort study.PloS one · 2019Article
- Physical Activity Level Using Doubly-Labeled Water in Relation to Body Composition and Physical Fitness in Preschoolers.Medicina (Kaunas, Lithuania) · 2018Article
- Is BMI a relevant marker of fat mass in 4 year old children? Results from the MINISTOP trial.European journal of clinical nutrition · 2018Article
- Validation of an Online Food Frequency Questionnaire against Doubly Labelled Water and 24 h Dietary Recalls in Pre-School Children.Nutrients · 2017Article
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4 authors.
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Abstract
Quick, easy-to-use, and valid body composition measurement options for young children are needed. Therefore, we evaluated the ability of the bioelectrical impedance (BIA) device, Tanita SC-240, to measure fat mass (FM), fat free mass (FFM) and body fatness (BF%) in 40 healthy, Swedish 5.5 years old children against the three component model (3C model). Average BF%, FM, and FFM for BIA were: 19.4% ± 3.9%, 4.1 ± 1.9 kg, and 16.4 ± 2.4 kg and were all significantly different (p < 0.001) from corresponding values for the 3C model (25.1% ± 5.5%, 5.3 ± 2.5 kg, and 15.2 ± 2.0 kg). Bland and Altman plots had wide limits of agreement for all body composition variables. Significant correlations ranging from 0.81 to 0.96 (p < 0.001) were found for BF%, FM, and FFM between BIA and the 3C model. When dividing the children into tertiles for BF%, 60% of children were classified correctly by means of BIA. In conclusion, the Tanita SC-240 underestimated BF% in comparison to the 3C model and had wide limits of agreement. Further work is needed in order to find accurate and easy-to-use methods for assessing body composition in pre-school children.
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