ArticleBMC pediatrics2017
BMI-for-age graphs with severe obesity percentile curves: tools for plotting cross-sectional and longitudinal youth BMI data.
Article in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
11 citing papers in PubMed, 22 citations in OpenAlex.
- Physical Activity, Sedentary Time, and Obesity in Adolescents: Differences by School Grade.The Journal of school health · 2026Article
- Correlation Between Urinary Heavy Metals and Early Childhood Caries in a Typical Industrial and Mining Area.Biological trace element research · 2025Article
- Relationships examined: Parent and child readiness to change and sociodemographic characteristics in family based weight loss treatment.Pediatric obesity · 2023Article
- [Diagnostic value of total serum IgE for atopy in children and adolescents].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022Article
- Nonparametric percentile curve estimation for a nonnegative marker with excessive zeros.MethodsX · 2022Article
- Off the Charts: Identifying and Visualizing Body Mass Index Trajectories of Rural, Poor Youth.The Journal of pediatrics · 2021Article
- Medical Neglect as a Contributor to Poorly Controlled Asthma in Childhood.Journal of child & adolescent trauma · 2020Article
- Factors associated with overweight and abdominal obesity in Brazilian school-aged children: a comprehensive approach.Archives of endocrinology and metabolism · 2020Article
- Obesity, but not overweight, is associated with plantar light touch sensation in children aged 8 to 16 years: A cross-sectional study.Obesity science & practice · 2020Article
- Association between 90BMC pediatrics · 2019Article
- Effect of Obesity and Exercise Training on Plasma Amino Acids and Amino Metabolites in American Indian Adolescents.The Journal of clinical endocrinology and metabolism · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere obesity is an important and distinct weight status classification that is associated with disease risk and is increasing in prevalence among youth. The ability to graphically present population weight status data, ranging from underweight through severe obesity class 3, is novel and applicable to epidemiologic research, intervention studies, case reports, and clinical care.
methodsThe aim was to create body mass index (BMI) graphing tools to generate sex-specific BMI-for-age graphs that include severe obesity percentile curves. We used the Centers for Disease Control and Prevention youth reference data sets and weight status criteria to generate the percentile curves. The statistical software environments SAS and R were used to create two different graphing options.
resultsThis article provides graphing tools for creating sex-specific BMI-for-age graphs for males and females ages 2 to <20 years. The novel aspects of these graphing tools are an expanded BMI range to accommodate BMI values ˃35 kg/m
conclusionsThese new BMI graphing tools will enable investigators, public health professionals, and clinicians to view and present youth weight status data in novel and meaningful ways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.