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Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings.
Zhang, E; Davis, Ann M; Jimenez, Elizabeth Yakes; Lancaster, Brittany; Serrano-Gonzalez, Monica; Chang, Di; Lee, Jeannette; Lai, Jin-Shei; Pyles, Lee; VanWagoner, Timothy; Darden, Paul.
Afiliación
  • Zhang E; Department of Occupational Therapy Education, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. ezhang@kumc.edu.
  • Davis AM; Department of Pediatrics, University of Kansas Medical Center, Kansas City, KS, USA.
  • Jimenez EY; College of Population Health and Departments of Pediatrics and Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
  • Lancaster B; Department of Pediatrics, University of Kansas Medical Center, Kansas City, KS, USA.
  • Serrano-Gonzalez M; Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, USA.
  • Chang D; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Lee J; Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
  • Lai JS; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Pyles L; Department of Pediatrics, West Virginia University, Morgantown, WV, USA.
  • VanWagoner T; Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
  • Darden P; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Sci Rep ; 14(1): 411, 2024 01 03.
Article en En | MEDLINE | ID: mdl-38172325
ABSTRACT
Rural children are more at risk for childhood obesity but may have difficulty participating in pediatric weight management clinical trials if in-person visits are required. Remote assessment of height and weight observed via videoconferencing may provide a solution by improving the accuracy of self-reported data. This study aims to validate a low-cost, scalable video-assisted protocol for remote height and weight measurements in children and caregivers. Families were provided with low-cost digital scales and tape measures and a standardized protocol for remote measurements. Thirty-three caregiver and child (6-11 years old) dyads completed remote (at home) height and weight measurements while being observed by research staff via videoconferencing, as well as in-person measurements with research staff. We compared the overall and absolute mean differences in child and caregiver weight, height, body mass index (BMI), and child BMI adjusted Z-score (BMIaz) between remote and in-person measurements using paired samples t-tests and one sample t-tests, respectively. Bland-Altman plots were used to estimate the limits of agreement (LOA) and assess systematic bias. Simple regression models were used to examine associations between measurement discrepancies and sociodemographic factors and number of days between measurements. Overall mean differences in child and caregiver weight, height, BMI, and child BMIaz were not significantly different between remote and in-person measurements. LOAs were - 2.1 and 1.7 kg for child weight, - 5.2 and 4.0 cm for child height, - 1.5 and 1.7 kg/m2 for child BMI, - 0.4 and 0.5 SD for child BMIaz, - 3.0 and 2.8 kg for caregiver weight, - 2.9 and 3.9 cm for caregiver height, and - 2.1 and 1.6 kg/m2 for caregiver BMI. Absolute mean differences were significantly different between the two approaches for all measurements. Child and caregiver age were each significantly associated with differences between remote and in-person caregiver height measurements; there were no significant associations with other measurement discrepancies. Remotely observed weight and height measurements using non-research grade equipment may be a feasible and valid approach for pediatric clinical trials in rural communities. However, researchers should carefully evaluate their measurement precision requirements and intervention effect size to determine whether remote height and weight measurements suit their studies.Trial registration ClinicalTrials.gov NCT04142034 (29/10/2019).
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Obesidad Infantil Tipo de estudio: Clinical_trials / Diagnostic_studies / Guideline / Prognostic_studies Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Obesidad Infantil Tipo de estudio: Clinical_trials / Diagnostic_studies / Guideline / Prognostic_studies Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
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