ArticlePreventive medicine reports2020
A novel approach to anthropometric assessment for geographically dispersed samples: A pilot study.
Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Validation of remote anthropometric measurements in a rural randomized pediatric clinical trial in primary care settings.Scientific reports · 2024Trial
- Validation of remote height and weight assessment in a rural randomized clinical trial.BMC medical research methodology · 2022Trial
- Body mass index having a mediating role between diet quality & mental and physical health among women.BMC psychology · 2025Article
- Remote Assessment of Pediatric Anthropometrics.Pediatrics · 2025Article
- Use of telehealth for measurement of anthropometrics in toddlers and their parents.Frontiers in digital health · 2025Article
- Best Practices and Recommendations for Research Using Virtual Real-Time Data Collection: Protocol for Virtual Data Collection Studies.JMIR research protocols · 2024Article
- Beyond Boundaries: A Comprehensive Review of Anthropometric Indices in Urban and Rural India.Cureus · 2024Review
- Heterogeneity in place effects on health: The case of time preferences and adolescent obesity.Economics and human biology · 2023Article
- Validation of remote assessment of preschool children's anthropometrics and motor skills.Frontiers in digital health · 2023Article
- Article
- Adolescent Time and Risk Preferences: Measurement, Determinants and Field Consequences.Journal of economic behavior & organization · 2021Article
- Anthropometric assessment in ambulatory nutrition amid the COVID-19 pandemic: Possibilities for the remote and in-person care.Clinical nutrition ESPEN · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Measurements by trained personnel are the criterion standard for assessments of body mass index (BMI) and obesity. Yet, in-person measurements are less practical for studies of geographically dispersed samples. Recent advances in technology and the success of telehealth suggests that videoconferencing may be promising. We conducted a pilot study to examine the validity of videoconference-assisted measurements (VCAM) relative to in-person measurements by trained staff. We collected height, weight, percent body fat and waist circumference measurements using VCAM and staff measured in a convenience sample of 50 greater Los Angeles participants. We calculated relative standardized differences, and agreement between the two approaches using Pearson correlation and Bland-Altman plots. The small magnitude of differences (effect sizes <0.03), and high agreement suggested that the two approaches produce similar values. Thus, completing height and weight measurements through videoconference may be a valid and cost-effective approach, especially for geographically dispersed samples.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.