Validation of remote height and weight assessment in a rural randomized clinical trial

Forseth, Bethany; Davis, Ann M.; Bakula, Dana M.; Murray, Megan; Dean, Kelsey; Romine, Rebecca E. Swinburne; Fleming, Kandace

doi:10.1186/s12874-022-01669-8

Cited by 8 publications

(18 citation statements)

References 16 publications

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“…Our ndings are generally consistent with those of Ghosh et al [12], who used remote observation but more expensive remote equipment, and Forseth et al [11], who used a similar measurement protocol, with a similar population (8.3 ± 0.7 years; 66% female) and remote equipment but did not include remote observation. However, there were more discrepancies in the absolute mean difference compared to Forseth et al [11] and overall mean difference in weight, height, and BMI measures in our study compared to Ghosh et al [12] and Forseth et al [11].…”

Section: Discussionsupporting

confidence: 90%

Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings

Zhang

Davis

Jimenez

et al. 2023

Preprint

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Background: 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. Methods: Families were provided with a low-cost digital scale and tape measure 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 via videoconferencing by research staff, as well as in-person measurements with research staff in the clinic. 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 and multivariable regressions were used to examine whether sociodemographic factors and the number of days between measurements were associated with measurement discrepancies. Results: 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 sociodemographic variables, caregiver education level, or time between measurements were not significantly associated with measurement discrepancies. Conclusions: 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. Registered October 29, 2019

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Section: Discussionsupporting

confidence: 90%

Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings

Zhang

Davis

Jimenez

et al. 2023

Preprint

Self Cite

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“…27 These results suggested only small and clinically insignificant differences were found between the measurement methods. 27 Standard formulas/equations were utilised to calculate child BMIz and parent BMI.…”

Section: Methodsmentioning

confidence: 94%

“…Once COVID‐19 impacted school availability for measurement, families were asked to either use their own home scale or were provided with a digital scale (Etekcity High Precision Digital Body Weight Bathroom Scale) and tape measure. Measurement then occurred over a proctored virtual session with study personnel; the full protocol and differences in these measurement methods are published in detail 27 . These results suggested only small and clinically insignificant differences were found between the measurement methods 27 .…”

Section: Methodsmentioning

confidence: 99%

“…Measurement then occurred over a proctored virtual session with study personnel; the full protocol and differences in these measurement methods are published in detail 27 . These results suggested only small and clinically insignificant differences were found between the measurement methods 27 . Standard formulas/equations were utilised to calculate child BMIz and parent BMI.…”

Section: Methodsmentioning

confidence: 99%

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Effectiveness of a paediatric weight management intervention for rural youth (iAmHealthy): Primary outcomes of a cluster randomised control trial

Davis,

Lancaster,

Fleming

et al. 2024

Pediatric Obesity

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SummaryBackgroundYouth in rural areas are disproportionally affected by obesity. Given the unique barriers rural populations face, tailoring and increasing access to obesity interventions is necessary.ObjectiveThis paper evaluates the effectiveness of iAmHealthy, a family‐based paediatric obesity intervention delivered to rural children, compared to a Newsletter Control.MethodsParticipating schools (n = 18) were randomly assigned to iAmHealthy or Newsletter Control. iAmHealthy consists of individual health coaching and group sessions delivered via televideo to a participant's home. The child and parent's body mass index (BMI), child physical activity and child dietary intake were assessed at baseline, post‐treatment (8 months) and follow‐up (20 months). Multilevel modeling estimated the effect of treatment at both time points.ResultsParent and child dyads were recruited (n = 148) and randomised to iAmHealthy (n = 64) or the Control group (n = 84). The Control group had significant increases in child BMIz from baseline to follow‐up. iAmHealthy youth had no significant changes in BMIz from baseline to post or follow‐up. Child dietary intake, physical activity and parent BMI results are also discussed.ConclusionsThis trial extends previous paediatric obesity work by simultaneously increasing convenience and dose of treatment. Results suggest iAmHealthy resulted in a change in BMIz trajectories and long‐term health behaviour for youth.

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“…Current procedures, like remote self‐report of height and weight, are perceived as nonvalid [7]. Several studies have conducted height and weight assessments outside of standard clinic and research settings, including self‐/parent‐report of height and weight, and employing inexperienced observers [8–11]. Few have evaluated these procedures with remote oversight by study staff and guidance provided to parents and caregivers outside of these settings, thus offering a potential solution to resolving bias inherent to self‐report.…”

Section: Introductionmentioning

confidence: 99%

Validation of remote child weight and height measurements within a weight management trial

Button,

Staiano,

Beyl

et al. 2023

Obesity

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ObjectiveThe aim of this substudy within the Treatment Efforts Addressing Child Weight Management by Unifying Patients, Parents, and Providers (TEAM UP) pragmatic clinical trial was to compare the validity of anthropometric measurements collected remotely versus in‐person (≤7 days apart) among youth with obesity who were 6 to 15 years of age.MethodsChild (n = 37) weight and height were measured in‐person by a trained data assessor (DA). These were compared with measurements taken remotely by the child's parent with live videoconferencing observation by a study DA. In‐person and remote measurements were compared using Bland–Altman plots, Pearson correlations, and two one‐sided paired t tests. A priori bounds of acceptability were set at ±0.68 kg to allow for typical weight fluctuations within the 7‐day comparison period.ResultsMeasurements were highly correlated (height: r = 0.991, p < 0.0001; weight: r = 0.999; p = 0.03). For height, two one‐sided t tests for upper, t(36) = 3.95, and lower, t(36) = −2.63, bounds (−1, 1) revealed an overall p = 0.006; absolute error was 3.5 cm. For weight, two one‐sided t tests for upper, t(36) = 1.93, and lower, t(36) = −7.91, bounds (−0.68, 0.68) revealed an overall p = 0.03; absolute error was 1.7 kg.ConclusionsThe present findings support the utility and interpretation of remotely assessed weight management outcomes for both research and clinical purposes. These procedures may offer greater accessibility to evidence‐based measurement.

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Validation of remote height and weight assessment in a rural randomized clinical trial

Cited by 8 publications

References 16 publications

Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings

Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings

Effectiveness of a paediatric weight management intervention for rural youth (iAmHealthy): Primary outcomes of a cluster randomised control trial

Validation of remote child weight and height measurements within a weight management trial

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