Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 20 01 2023
accepted: 12 09 2023
medline: 28 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries. To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site. Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were compared to measurements of 75 pre-training deceased children. Outcomes included measures of data quality (standard deviations of anthropometric indices and digit preference scores (DPS)), precision (absolute and relative technical errors of measurement, TEMs or rTEMs), and accuracy (Bland-Altman plots). WHO growth standards were used to produce anthropometric indices. Post-training surveys and in-depth interviews collected qualitative feedback on measurer experience with performing manual anthropometry and ease of using 3D imaging software. Manual anthropometry data quality improved after training, as indicated by DPS. Standard deviations of anthropometric indices exceeded limits for high data quality when using the WHO growth standards. Reliability of measurements post-training was high as indicated by rTEMs below 1.5%. 3D imaging was highly correlated with manual measurements; however, on average 3D scans overestimated length and head circumference by 1.61 cm and 2.27 cm, respectively. Site staff preferred manual anthropometry to 3D imaging, as the imaging technology required adequate lighting and additional considerations when performing the measurements. Manual anthropometry was feasible and reliable postmortem in the presence of rigor mortis. 3D imaging may be an accurate alternative to manual anthropometry, but technology adjustments are needed to ensure accuracy and usability.

Sections du résumé

BACKGROUND BACKGROUND
The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries.
OBJECTIVE OBJECTIVE
To address challenges in postmortem nutritional assessment, we evaluated the impact of anthropometry training and the feasibility of 3D imaging on data quality within the CHAMPS Kenya site.
DESIGN METHODS
Staff were trained using World Health Organization (WHO)-recommended manual anthropometry equipment and novel 3D imaging methods to collect postmortem measurements. Following training, 76 deceased children were measured in duplicate and were compared to measurements of 75 pre-training deceased children. Outcomes included measures of data quality (standard deviations of anthropometric indices and digit preference scores (DPS)), precision (absolute and relative technical errors of measurement, TEMs or rTEMs), and accuracy (Bland-Altman plots). WHO growth standards were used to produce anthropometric indices. Post-training surveys and in-depth interviews collected qualitative feedback on measurer experience with performing manual anthropometry and ease of using 3D imaging software.
RESULTS RESULTS
Manual anthropometry data quality improved after training, as indicated by DPS. Standard deviations of anthropometric indices exceeded limits for high data quality when using the WHO growth standards. Reliability of measurements post-training was high as indicated by rTEMs below 1.5%. 3D imaging was highly correlated with manual measurements; however, on average 3D scans overestimated length and head circumference by 1.61 cm and 2.27 cm, respectively. Site staff preferred manual anthropometry to 3D imaging, as the imaging technology required adequate lighting and additional considerations when performing the measurements.
CONCLUSIONS CONCLUSIONS
Manual anthropometry was feasible and reliable postmortem in the presence of rigor mortis. 3D imaging may be an accurate alternative to manual anthropometry, but technology adjustments are needed to ensure accuracy and usability.

Identifiants

pubmed: 37768936
doi: 10.1371/journal.pone.0292046
pii: PONE-D-23-01635
pmc: PMC10538800
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0292046

Informations de copyright

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors of this manuscript have the following competing interests: Eugene Alexander holds an ownership position in Body Surface Translations and therefore has a financial interest in the success of the 3D testing device described in this study. Data were blinded and not shared with Mr. Alexander until completion of draft manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and materials. Additional disclosure: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Références

Br J Nutr. 1999 Sep;82(3):165-77
pubmed: 10655963
Forensic Sci Med Pathol. 2016 Jun;12(2):139-45
pubmed: 27020890
Acta Paediatr Suppl. 2006 Apr;450:76-85
pubmed: 16817681
Bull World Health Organ. 1994;72(4):569-79
pubmed: 7923536
Clin Infect Dis. 2019 Oct 9;69(Suppl 4):S302-S310
pubmed: 31598667
BMC Pediatr. 2020 Sep 3;20(1):419
pubmed: 32883257
BMC Nutr. 2020 Nov 13;6(1):60
pubmed: 33292633
Am J Clin Nutr. 2022 Jul 6;116(1):97-110
pubmed: 35285874
Am J Clin Nutr. 2020 Sep 14;112(Suppl 2):806S-815S
pubmed: 32672330
Bull World Health Organ. 2007 Jun;85(6):441-8
pubmed: 17639241
Clin Infect Dis. 2019 Oct 9;69(Suppl 4):S257-S259
pubmed: 31598658
Clin Infect Dis. 2019 Oct 9;69(Suppl 4):S333-S341
pubmed: 31598661
Popul Health Metr. 2011 Nov 09;9(1):57
pubmed: 22071133
Bull World Health Organ. 2000;78(10):1207-21
pubmed: 11100616
Bull World Health Organ. 1995;73(4):443-8
pubmed: 7554015
PLoS One. 2017 Dec 14;12(12):e0189332
pubmed: 29240796
Clin Infect Dis. 2019 Oct 9;69(Suppl 4):S262-S273
pubmed: 31598664
Horm Res Paediatr. 2017;88(1):79-90
pubmed: 28196362
Glob Health Action. 2017;10(1):1328185
pubmed: 28641057
Curr Dev Nutr. 2022 Apr 19;6(6):nzac085
pubmed: 35755937
Am J Obstet Gynecol. 2018 Feb;218(2S):S630-S640
pubmed: 29422205
Pediatrics. 2017 Apr;139(Suppl 1):S23-S37
pubmed: 28562246
Public Health Nutr. 2016 Oct;19(14):2513-20
pubmed: 27049813

Auteurs

Priya M Gupta (PM)

Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.

Kasthuri Sivalogan (K)

Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.

Richard Oliech (R)

Kenya Medical Research Institute, Kisumu, Kenya.

Eugene Alexander (E)

Body Surface Translations, Inc., Athens, Georgia, United States of America.

Jamie Klein (J)

Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States of America.

O Yaw Addo (OY)

Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.
US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Dickson Gethi (D)

US Centers for Disease Control and Prevention-Kenya, Kisumu and Nairobi, Kenya.

Victor Akelo (V)

US Centers for Disease Control and Prevention-Kenya, Kisumu and Nairobi, Kenya.

Dianna M Blau (DM)

US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Parminder S Suchdev (PS)

Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America.
Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States of America.
US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Classifications MeSH