Frequency of anthropometric implausible values estimated from different methodologies: a systematic review and meta-analysis

Improved method for revising the Israel birthweight references

(2022) Lisa Rubin et al.   JOURNAL OF PERINATAL MEDICINE

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

(2021) Matthew J Page et al.   BMJ-British Medical Journal

Epidemiology of Underweight among Infants in Rural Burkina Faso

(2021) Ali Sié et al.   AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE

Time trends and social inequalities in child malnutrition: nationwide estimates from Brazil’s food and nutrition surveillance system, 2009–2017

(2021) Rita de Cássia Ribeiro-Silva et al.   PUBLIC HEALTH NUTRITION

Anthropometric data quality assessment in multisurvey studies of child growth

(2020) Nandita Perumal et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

Automated data cleaning of paediatric anthropometric data from longitudinal electronic health records: protocol and application to a large patient cohort

(2020) Hang T. T. Phan et al.   Scientific Reports

Improving assessment of child growth in a pediatric hospital setting

(2020) Priya M. Gupta et al.   BMC Pediatrics

Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents

(2019) Janne Boone-Heinonen et al.   ANNALS OF EPIDEMIOLOGY

Identifying and categorizing spurious weight data in electronic medical records

(2018) Sunny Chen et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

New approach for the identification of implausible values and outliers in longitudinal childhood anthropometric data

(2018) Joy Shi et al.   ANNALS OF EPIDEMIOLOGY

Child anthropometry data quality from Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and National Nutrition Surveys in the West Central Africa region: are we comparing apples and oranges?

(2018) Daniel J. Corsi et al.   Global Health Action

Trends in Severe Obesity Among Children Aged 2 to 4 Years Enrolled in Special Supplemental Nutrition Program for Women, Infants, and Children From 2000 to 2014

(2018) Liping Pan et al.   JAMA Pediatrics

Assessment of Anthropometric Data Following Investments to Ensure Quality: Kenya Demographic Health Surveys Case Study, 2008 to 2009 and 2014

(2018) Eva Leidman et al.   FOOD AND NUTRITION BULLETIN

Automated identification of implausible values in growth data from pediatric electronic health records

(2017) Carrie Daymont et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Improving the quality of child anthropometry: Manual anthropometry in the Body Imaging for Nutritional Assessment Study (BINA)

(2017) Joel Conkle et al.   PLoS One

Assessing Frequency and Risk of Weight Entry Errors in Pediatrics

(2017) Philip A. Hagedorn et al.   JAMA Pediatrics

The Effect of Random Error on Diagnostic Accuracy Illustrated with the Anthropometric Diagnosis of Malnutrition

(2017) Emmanuel Grellety et al.   PLoS One

Identifying outliers and implausible values in growth trajectory data

(2016) Seungmi Yang et al.   ANNALS OF EPIDEMIOLOGY

The prevalence and validity of high, biologically implausible values of weight, height, and BMI among 8.8 million children

(2016) David S. Freedman et al.   Obesity

Validity of the WHO cutoffs for biologically implausible values of weight, height, and BMI in children and adolescents in NHANES from 1999 through 2012

(2015) David S Freedman et al.   AMERICAN JOURNAL OF CLINICAL NUTRITION

Comparing Methods for Identifying Biologically Implausible Values in Height, Weight, and Body Mass Index Among Youth

(2015) Hannah G. Lawman et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Severe Obesity Among Children in New York City Public Elementary and Middle Schools, School Years 2006–07 Through 2010–11

(2015) Sophia E. Day et al.   Preventing Chronic Disease

A new birthweight reference in Guangzhou, southern China, and its comparison with the global reference

(2014) J.-R. He et al.   ARCHIVES OF DISEASE IN CHILDHOOD

Throwing Out the Baby with the Bathwater?

(2014) Christine L. Gray et al.   EPIDEMIOLOGY

Trends in relative weight over 1 year in low-income urban youth

(2014) Hannah G. Lawman et al.   Obesity

Effect of nutrition survey ‘cleaning criteria’ on estimates of malnutrition prevalence and disease burden: secondary data analysis

(2014) Sonya Crowe et al.   PeerJ

The nutritional status of children in Bhutan: results from the 2008 National nutrition survey and trends over time

(2012) Ugyen Zangmo et al.   BMC Pediatrics

Reliability of Height and Weight Measurements Collected by Physical Education Teachers for a School-Based Body Mass Index Surveillance and Screening System

(2012) Stephanie S. Berkson et al.   JOURNAL OF SCHOOL HEALTH

Australian national birthweight percentiles by sex and gestational age, 1998–2007

(2012) Timothy A Dobbins et al.   MEDICAL JOURNAL OF AUSTRALIA

Distribution of Birth Weight for Gestational Age in Japanese Infants Delivered by Cesarean Section

(2011) Ritei Uehara et al.   JOURNAL OF EPIDEMIOLOGY

Two-stage method to remove population- and individual-level outliers from longitudinal data in a primary care database

(2011) C. Welch et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

VHA Corporate Data Warehouse height and weight data: Opportunities and challenges for health services research

(2010) Polly Hitchcock Nol et al.   JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT

Body weight and height data in electronic medical records of children

(2009) Ning Smith et al.   International Journal of Pediatric Obesity

Arcsine test for publication bias in meta-analyses with binary outcomes

(2007) Gerta Rücker et al.   STATISTICS IN MEDICINE