ArticleThe American journal of clinical nutrition2019
Quantifying energy expenditure in childhood: utility in managing pediatric metabolic disorders.
Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- TRIAC Therapy Relieves Hyperthyroid Symptoms, Lowering T4, T3, and Metabolic Rate in Resistance to Thyroid Hormone β.The Journal of clinical endocrinology and metabolism · 2026Article
- SMIM1 absence is associated with reduced energy expenditure and excess weight.Med (New York, N.Y.) · 2024Article
- Centile reference chart for resting metabolic rate through the life course.Archives of disease in childhood · 2023Article
- Resistance to thyroid hormone induced tachycardia in RTHα syndrome.Nature communications · 2023Article
- Preventing chronic fatigue in Czech young athletes: The features description of the "SmartTraining" mobile application.Frontiers in physiology · 2022Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundEnergy expenditure prediction equations are used to estimate energy intake based on general population measures. However, when using equations to compare with a disease cohort with known metabolic abnormalities, it is important to derive one's own equations based on measurement conditions matching the disease cohort.
objectiveWe aimed to use newly developed prediction equations based on a healthy pediatric population to describe and predict resting energy expenditure (REE) in a cohort of pediatric patients with thyroid disorders.
methodsBody composition was measured by DXA and REE was assessed by indirect calorimetry in 201 healthy participants. A prediction equation for REE was derived in 100 healthy participants using multiple linear regression and z scores were calculated. The equation was validated in 101 healthy participants. This method was applied to participants with resistance to thyroid hormone (RTH) disorders, due to mutations in either thyroid hormone receptor β or α (β: female n = 17, male n = 9; α: female n = 1, male n = 1), with deviation of REE in patients compared with the healthy population presented by the difference in z scores.
resultsThe prediction equation for REE = 0.061 * Lean soft tissue (kg) - 0.138 * Sex (0 male, 1 female) + 2.41 (R2 = 0.816). The mean ± SD of the residuals is -0.02 ± 0.44 kJ/min. Mean ± SD REE z scores for RTHβ patients are -0.02 ± 1.26. z Scores of -1.69 and -2.05 were recorded in male (n = 1) and female ( n = 1) RTHα patients.
conclusionsWe have described methodology whereby differences in REE between patients with a metabolic disorder and healthy participants can be expressed as a z score. This approach also enables change in REE after a clinical intervention (e.g., thyroxine treatment of RTHα) to be monitored.
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