ArticlePloS one2018
Validity of bioelectrical impedance analysis in predicting total body water and adiposity among Senegalese school-aged children.
Article in PloS one, 2018. 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, 16 citations in OpenAlex.
- Physical fitness as a predictor of health-related quality of life in children.Frontiers in sports and active living · 2026Article
- Multi-Frequency Bioimpedance Analysis in Practice: A Review of Validated Prediction Equations for Key Body Composition Parameters.Physiological research · 2025Review
- Article
- Sociodemographic and Socioeconomic Factors Influencing the Body Mass Composition of School-Age Children.International journal of environmental research and public health · 2022Article
- Acute Water Supplementation Improved the Body Composition of Young Female Adults After Water Restriction of 12 h in Baoding, China: A Randomized Controlled Trial (RCT).Frontiers in nutrition · 2022Article
- Body composition and determinant factors among mother-child pairs (6-8 months) in rural areas of Senegal.Maternal & child nutrition · 2021Article
- The association of body composition with the risk of gestational diabetes mellitus in Chinese pregnant women: A case-control study.Medicine · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
introductionChildhood obesity is currently a serious public health challenge in developing countries. Therefore, an accurate assessment of adiposity is required. The objective of this study was to validate BIA prediction equations for the assessment of total body water and adiposity or percentage of body fat for the first time in Senegalese school-aged children.
methodsOne-hundred-fifty-one (151) pupils who were 8-11 years old were randomly selected from four public schools in Dakar. The body composition measured by deuterium dilution method (DDM) was used as the reference method and compared to that predicted by BIA using a multi-frequency analyser. Stepwise backward multiple linear regression was performed to calculate TBW and %BF in a subsample, which were then validated in the rest of the sample. The Bland and Altman approach was used to assess the agreement between the two methods (bias and limits of agreement).
resultsFFM was higher in boys (24.6±6.9 kg) compared to girls (21.2±3.3 kg; P<0.001), and FM was lower in boys: 3.7 kg [0.9-26.4] compared to girls: 4.5 kg [1.7-22.7]. Overall, 11.3% of children presented excess adiposity (%BF >25% in boys, and >30% in girls) and 2.0% were obese according to WHO cut points for obesity (BMI z-score >+2.0). The equations developed were as follows: TBW = 0.376(Height2/Z50)-0.470 (sex) +0.076(weight) +0.065(height)-2.28. %BF = -1.10(height2/Z50) +3.14(sex)+1.57(weight)-4.347. These specific equations showed good precision and a low and non-significant mean bias (0.11 kg, P = 0.279; and 0.19 kg, P = 0.764) for TBW and %BF, respectively.
conclusionThe newly developed equations can be used as an accurate and alternative screening tool for the assessment of obesity among children in various settings.
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