Evidence map›Paper›PMID 35755937›Full record

ArticleCurrent developments in nutrition2022

Acceptability and Experiences with the Use of 3D Scans to Measure Anthropometry of Young Children in Surveys and Surveillance Systems from the Perspective of Field Teams and Caregivers.

Maria Elena D Jefferds, Zuguo Mei, Mireya Palmieri, Karla Mesarina, Dickens Onyango, Rael Mwando, Victor Akelo, Jianmeng Liu, Yubo Zhou, Ying Meng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
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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

11 authors at 5 institutions in 4 countries.

Maria Elena D JefferdsNutrition Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0002-2652-4502
Zuguo MeiNutrition Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Mireya PalmieriNutrition and Micronutrients Unit, Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.
Karla MesarinaNutrition and Micronutrients Unit, Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala.
Dickens OnyangoKisumu County Department of Health, Kisumu, Kenya.
Rael MwandoKisumu County Department of Health, Kisumu, Kenya.
Victor AkeloOffice of the Director, Center for Global Health, Centers for Disease Control and Prevention, Kisumu, Kenya.
Jianmeng LiuInstitute of Reproductive and Child Health, Peking University, Beijing, China.
Yubo ZhouInstitute of Reproductive and Child Health, Peking University, Beijing, China.
Ying MengInstitute of Reproductive and Child Health, Peking University, Beijing, China.
Karim BougmaCenters for Disease Control and Prevention Foundation, Atlanta, GA, USA.
Centers for Disease Control and Prevention · USPeking University · CNGreat Lakes University of Kisumu · KEInstitute of Nutrition of Central America and Panama · GTCenters for Disease Control and Prevention · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Portable systems using three-dimensional (3D) scan data to calculate young child anthropometry measurements in population-based surveys and surveillance systems lack acceptability data from field workers and caregivers. Objective: The aim was to assess acceptability and experiences with 3D scans measuring child aged 0-59 mo anthropometry in population-based surveys and surveillance systems in Guatemala, Kenya, and China (0-23 mo only) among field teams and caregivers of young children as secondary objectives of an external effectiveness evaluation. Methods: Manual data were collected twice and 12 images captured per child by anthropometrist/expert and assistant (AEA) field teams (individuals/country, Results: Most AEAs were female with secondary or higher education. Approximately 80-90% of caregivers were the child's mother. To collect all anthropometry data, 62.1% of the 29 AEAs preferred scan, while 31% preferred manual methods. In FGDs, a key barrier for manual and scan methods was lack of child cooperation. Across countries, approximately 30% to almost 50% of caregivers said their child was bothered by each manual and scan method, while ≥95% of caregivers were willing to have their child measured by scans in the future. Conclusions: Use of 3D scans to calculate anthropometry measurements was generally at least as acceptable as manual anthropometry measurement among AEA field workers and caregivers of young children aged <60 mo, and in some cases preferred.

Indexed as

3D imaging systemacceptabilityanthropometristsanthropometrycaregiverssurveillance systemssurveysyoung children

Identifiers

PMID35755937
PMCPMC9213209
OpenAlexW4226229002

What OpenQuestion holds

Textmetadata
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.