Objective Large electronic health record (EHR) datasets are increasingly used to facilitate
research on growth, but measurement and recording errors can lead to biased results. We …

Despite ongoing investigation of children's eating behaviors to better understand the
etiology of childhood obesity, few studies have aimed to determine differences in eating …

Tracking trajectories of body size in children provides insight into chronic disease risk. One
measure of pediatric body size is body mass index (BMI), a function of height and weight …

Context Poor anthropometric data quality affect the prevalence of malnutrition and could
harm public policy planning. Objective This systematic review and meta-analysis was …

Importance Serving breakfast in the classroom is promoted to increase participation in the
federal School Breakfast Program. However, little is known about the effect of breakfast in …

Objective Although the tracking of BMI levels from childhood to adulthood has been
examined, there is little information on the within‐person variability of BMI. Methods …

ABSTRACT OBJECTIVE To evaluate the quality of anthropometric data of children recorded
in the Food and Nutrition Surveillance System (SISVAN) from 2008 to 2017. METHOD …

All data are prone to error and require data cleaning prior to analysis. An important example
is longitudinal growth data, for which there are no universally agreed standard methods for …

Abstract 'Big data'in healthcare encompass measurements collated from multiple sources
with various degrees of data quality. These data require quality control assessment to …

Background The abdominal obesity trends and prevalence are important contributing factors
to significant rise of many noncommunicable diseases in Vietnam but have not been well …