ArticlePediatric obesity2022
Measuring BMI change among children and adolescents.
Article in Pediatric obesity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Efficacy of Pharmacotherapy Intervention on Anthropometric Outcomes in Survivors of Childhood Brain Tumors: An Updated Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Comprehensive exercise recommendations for pediatric asthma: an evidence synthesis.World journal of pediatrics : WJP · 2026Pooled it
- Weight-loss interventions for adolescents with Down syndrome: a systematic review.Obesity (Silver Spring, Md.) · 2025Pooled it
- Salivary Amylase Gene Copy Number Relates with BMI Z-Score and with Response to Lifestyle Intervention for Children with Overweight and Obesity.International journal of molecular sciences · 2025Trial
- A pediatric primary care practice-based obesity intervention to support families: a cluster-randomized clinical trial.Obesity (Silver Spring, Md.) · 2024Trial
- High Screen Exposure and Its Association With Physical and Mental Well-Being Among School-Going Children and Adolescents in Bangladesh: Cross-Sectional Study.JMIR human factors · 2026Article
- The Relationship Between Bone Morphogenic Protein-4 and Visceral-Central Adiposity.Pediatric gastroenterology, hepatology & nutrition · 2025Article
- Age-Related Changes in Predictors of BMI in 6, 9 and 12-Year-Old Boys and Girls: The NW-CHILD Study.Journal of functional morphology and kinesiology · 2025Article
- TeenGrowth: Individualized Estimations of Weight-Related Risk and Recovery Metrics for Young People With Eating Disorders.The International journal of eating disorders · 2025Article
- Relationship between composite dietary antioxidants index and growth indicators in children aged 3-12 years: results from two observational studies.Frontiers in nutrition · 2025Article
- Optimization of school physical education schedules to enhance long-term public health outcomes.Frontiers in public health · 2025Article
- A 10-week implementation of the FIT FIRST FOR ALL school-based physical activity concept effectively improves cardiorespiratory fitness and body composition in 7-16-year-old schoolchildren.Frontiers in public health · 2024Article
- Changes in height, weight, and body mass index after posterior spinal fusion in juvenile and adolescent idiopathic scoliosis.Journal of children's orthopaedics · 2023Article
- Feasibility and preliminary efficacy of structured programming and a parent intervention to mitigate accelerated summer BMI gain: a pilot study.Pilot and feasibility studies · 2023Article
- Weight gain among US adults during the COVID-19 pandemic through May 2021.Obesity (Silver Spring, Md.) · 2022Article
- Feasibility & Preliminary Efficacy of Structured Programming and a Parent Intervention to Mitigate Accelerated Summer BMI Gain: A pilot study.Research square · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundWeight control programs for children monitor BMI changes using BMI z-scores that adjust BMI for the sex and age of the child. It is, however, uncertain if BMIz is the best metric for assessing BMI change.
objectiveTo identify which of 6 BMI metrics is optimal for assessing change. We considered a metric to be optimal if its short-term variability was consistent across the entire BMI distribution. SUBJECTS: 285 643 2- to 17-year-olds with BMI measured 3 times over a 10- to 14-month period.
methodsWe summarized each metric's variability using the within-child standard deviation.
resultsMost metrics' initial or mean value correlated with short-term variability (|r| ~ 0.3 to 0.5). The metric for which the within-child variability was largely independent (r = 0.13) of the metric's initial or mean value was the percentage of the 50th expressed on a log scale. However, changes in this metric between the first and last visits were highly (r ≥ 0.97) correlated with changes in %95th and %50th.
conclusionsLog %50 was the metric for which the short-term variability was largely independent of a child's BMI. Changes in log %50th, %95th, and %50th are strongly correlated.
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