ArticleWorld journal of pediatrics : WJP2018
Evaluating the predictive factors of resting energy expenditure and validating predictive equations for Chinese obese children.
Article in World journal of pediatrics : WJP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review.Frontiers in pediatrics · 2021Pooled it
- Resting Energy Expenditure Equations Have Lower Accuracy for Adolescents with Overweight/Obesity Versus Healthy-Weight Adolescents.Childhood obesity (Print) · 2025Article
- A retrospective study of resting energy expenditure in children hospitalized with different nutritional status.Translational pediatrics · 2024Article
- Article
- Validation of predictive equations for resting energy expenditure in children and adolescents with different body mass indexes.Nutrition journal · 2023Article
- Cross-sectional study of characteristics of body composition of 24,845 children and adolescents aged 3-17 years in Suzhou.BMC pediatrics · 2023Article
- Body composition in preschool children with short stature: a case-control study.BMC pediatrics · 2022Article
- The Diagnostic-Measurement Method-Resting Energy Expenditure Assessment of Polish Children Practicing Football.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundTo study the predictive factors of resting energy expenditure (REE) and evaluate the accuracy of predicted equations with indirect calorimeter (IC) in Chinese school-age children, particularly for the obese population.
methodsRecruited children were from the department of child healthcare in Nanjing children's hospital during July 2014-September 2015. Anthropometric parameters and body composition were measured by bioelectrical impedance. Measured REE was assessed by IC. Predicted REE was estimated using ten published equations.
results248 children aged 7-13 years were recruited, including 148 obese [body mass index standard deviation score (BMISDS) = 2.48 ± 0.91] and 100 non-obese (BMISDS = - 0.96 ± 1.08). The unit mass of REE (REE/kg) in obese group (29.06 ± 5.74) was lower than that in non-obese group (37.51 ± 6.56). The stepwise regression showed that age, BMISDS and fat-free mass (FFM) had a major impact on REE/kg as the regression equation: Y = 54.41 - 1.36 × X
conclusionsThe REE/kg in obese children was lower and closely correlated with age, BMISDS and FFM. It is necessary to validate the new predictive equation in a larger sample to estimate energy requirements, particularly for children with obesity.
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