ArticleAmerican journal of epidemiology2015
Comparing Methods for Identifying Biologically Implausible Values in Height, Weight, and Body Mass Index Among Youth.
Article in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Construction and Use of Body Weight Measures from Administrative Data in a Large National Health System: A Systematic Review.Obesity (Silver Spring, Md.) · 2020Pooled it
- The Protective Effect of Prenatal Social Support on Infant Adiposity in the First 18 Months of Life.The Journal of pediatrics · 2019Trial
- Effect of a Breakfast in the Classroom Initiative on Obesity in Urban School-aged Children: A Cluster Randomized Clinical Trial.JAMA pediatrics · 2019Trial
- Title: efficacy of a food parenting intervention for mothers with low income to reduce preschooler's solid fat and added sugar intakes: a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2019Trial
- Extreme Obesity (BMI ≥ 60 kg/mObesity (Silver Spring, Md.) · 2026Article
- Protocol for improving equity in quantitative big data cleaning: lessons from longitudinal analysis of electronic health records from underrepresented and marginalized communities.International journal of epidemiology · 2025Article
- A better performing algorithm for identification of implausible growth data from longitudinal pediatric medical records.Scientific reports · 2024Article
- Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system.BMC medical research methodology · 2024Article
- Prevalence of obesity and abdominal obesity and their association with metabolic-related conditions in Vietnamese adults: an analysis of Vietnam STEPS survey 2009 and 2015.The Lancet regional health. Western Pacific · 2023Article
- Data quality control in longitudinal epidemiologic studies: conditional studentized residuals from linear mixed effects models for outlier detection in the setting of pediatric chronic kidney disease.Annals of epidemiology · 2023Article
- Quality of child anthropometric data from SISVAN, Brazil, 2008-2017.Revista de saude publica · 2023Article
- Cleaning of anthropometric data from PCORnet electronic health records using automated algorithms.JAMIA open · 2022Article
- Genetic investigation of the contribution of body composition to anorexia nervosa in an electronic health record setting.Translational psychiatry · 2022Article
- Association Between Length of Only-Child Period During Early Childhood and Overweight at Age 8-A Population-Based Longitudinal Study in Japan.Frontiers in pediatrics · 2022Article
- Normalized measures and patient characteristics to identify undernutrition in infants and young children treated for cancer.Clinical nutrition ESPEN · 2020Article
- Automated data cleaning of paediatric anthropometric data from longitudinal electronic health records: protocol and application to a large patient cohort.Scientific reports · 2020Article
- Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data.PloS one · 2020Article
- An examination of children's eating behaviours as mediators of the relationship between parents' feeding practices and early childhood body mass indexObesity science & practice · 2019Article
- Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents.Annals of epidemiology · 2019Article
- Family food environment factors associated with obesity outcomes in early childhood.BMC obesity · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
As more epidemiologic data on childhood obesity become available, researchers are faced with decisions regarding how to determine biologically implausible values (BIVs) in height, weight, and body mass index. The purpose of the current study was 1) to track how often large, epidemiologic studies address BIVs, 2) to review BIV identification methods, and 3) to apply those methods to a large data set of youth to determine the effects on obesity and BIV prevalence estimates. Studies with large samples of anthropometric data (n > 1,000) were reviewed to track whether and how BIVs were defined. Identified methods were then applied to a longitudinal sample of 13,662 students (65% African American, 52% male) in 55 urban, low-income schools that enroll students from kindergarten through eighth grade (ages 5-13 years) in Philadelphia, Pennsylvania, during 2011-2012. Using measured weight and height at baseline and 1-year follow-up, we compared descriptive statistics, weight status prevalence, and BIV prevalence estimates. Eleven different BIV methods were identified. When these methods were applied to a large data set, severe obesity and BIV prevalence ranged from 7.2% to 8.6% and from 0.04% to 1.68%, respectively. Approximately 41% of large epidemiologic studies did not address BIV identification, and existing identification methods varied considerably. Increased standardization of the identification and treatment of BIVs may aid in the comparability of study results and accurate monitoring of obesity trends.
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