Evidence map›Paper›PMID 30194911›Full record

ArticleMaternal & child nutrition2019

A collaborative, mixed-methods evaluation of a low-cost, handheld 3D imaging system for child anthropometry.

Joel Conkle, Kate Keirsey, Ashton Hughes, Jennifer Breiman, Usha Ramakrishnan, Parminder S Suchdev, Reynaldo Martorell

Open access · hybridAbstract read
In one paragraph

Article in Maternal & child nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Joel ConkleDoctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia.ORCID 0000-0003-2603-5052
Kate KeirseyHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Ashton HughesHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Jennifer BreimanHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Usha RamakrishnanDoctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia.
Parminder S SuchdevDoctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia.
Reynaldo MartorellDoctoral Program in Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia.
Emory University · USCenters for Disease Control and Prevention · US

Funding

Bill & Melinda Gates Foundation OPP1132308
6 · The paper itself

Abstract

3D imaging for body measurements is regularly used for design of garments and ergonomic products. The development of low-cost 3D scanners provided an opportunity to extend the use of 3D imaging to the health sector. We developed and tested the AutoAnthro System, the first mobile, low-cost, full-body, 3D imaging system designed specifically for child anthropometry. This study evaluated the efficiency, invasiveness, and user experience of the AutoAnthro System. We used a mixed-methods, collaborative approach that included a quantitative time-motion study and qualitative interviews of anthropometrists. For cooperative children, anthropometrists considered the use of 3D imaging an easy, "streamlined experience," but with uncooperative children, anthropometrists reported that capturing a good quality scan was out of their control. The mean time to complete a full set of scans was 68 s (standard deviation [SD] 29), compared with 135 s (SD 22) for a set of manual measurements (stature, head circumference, and arm circumference). We observed that crying was more common during manual measurement, and anthropometrist interviews confirmed that 3D imaging was less stressful for children than manual measurement. In a previous publication, we showed the potential of 3D imaging to produce reliable and accurate measurements. In this study, we found that anthropometrists were not ready to abandon manual equipment for 3D scanners because of difficulty in measuring uncooperative children. Revising the AutoAnthro System to address anthropometrists' concerns on capturing good quality scans of uncooperative children should help to facilitate widespread use of 3D imaging for child anthropometry.

Indexed as

AnthropometryChild, PreschoolFemaleHumansImaging, Three-DimensionalInfantMaleReproducibility of Results3Danthropometryheightlengthnutritional statususer experience

Identifiers

PMID30194911
PMCPMC6519116
OpenAlexW2890805043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.