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2022

Body Weight

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Full-Text Articles in Medicine and Health Sciences

Validation Of Remote Height And Weight Assessment In A Rural Randomized Clinical Trial., Bethany Forseth Hanson, Ann M. Davis, Dana Bakula, Megan Murray, Kelsey Dean, Rebecca E. Swinburne Romine, Kandace Fleming Jul 2022

Validation Of Remote Height And Weight Assessment In A Rural Randomized Clinical Trial., Bethany Forseth Hanson, Ann M. Davis, Dana Bakula, Megan Murray, Kelsey Dean, Rebecca E. Swinburne Romine, Kandace Fleming

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: The purpose of this study is to describe and assess a remote height and weight protocol that was developed for an ongoing trial conducted during the SARS COV-2 pandemic.

METHODS: Thirty-eight rural families (children 8.3 ± 0.7 years; 68% female; and caregivers 38.2 ± 6.1 years) were provided detailed instructions on how to measure height and weight. Families obtained measures via remote data collection (caregiver weight, child height and weight) and also by trained staff. Differences between data collection methods were examined.

RESULTS: Per absolute mean difference analyses, slightly larger differences were found for child weight (0.21 ± 0.21 …


Pediatric Growth Patterns In Youth-Onset Type 2 Diabetes Mellitus: Implications For Physiologically-Based Pharmacokinetic Models., Chelsea M. Hosey, Kelsee Halpin, Valentina Shakhnovich, Chengpeng Bi, Brooke Sweeney, Yun Yan, J Steven Leeder Apr 2022

Pediatric Growth Patterns In Youth-Onset Type 2 Diabetes Mellitus: Implications For Physiologically-Based Pharmacokinetic Models., Chelsea M. Hosey, Kelsee Halpin, Valentina Shakhnovich, Chengpeng Bi, Brooke Sweeney, Yun Yan, J Steven Leeder

Manuscripts, Articles, Book Chapters and Other Papers

An accurate understanding of the changes in height and weight of children with age is critical to the development of models predicting drug concentrations in children (i.e., physiologically-based pharmacokinetic models). However, curves describing the growth of a typical population of children may not accurately characterize growth of children with various conditions, such as obesity. Therefore, to develop height and weight versus age growth curves for youth who were diagnosed with type 2 diabetes, we extracted data from electronic medical records. Robust nonlinear models were parameterized to the equations describing height and weight versus age as defined by the Centers for …