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other·pediatrics, public health, epidemiology, research methods, clinical nutrition·PMC10538800

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

PLOS ONE · 14 authors, 7 centres

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TL;DR

This study evaluated a training intervention for postmortem manual anthropometry and the feasibility of 3D imaging to measure deceased children under five. Training improved manual measurement data quality and precision, but 3D imaging overestimated length and head circumference compared to manual methods.

Full summary

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Staff at the CHAMPS Kenya site were trained on manual anthropometry and 3D imaging to measure deceased children postmortem. Data quality was assessed using digit preference scores (DPS) and standard deviations of anthropometric indices, with precision measured via relative technical error of measurement (rTEM). Following training on 76 children, manual anthropometry showed improved DPS, indicating better data quality, and high precision with rTEMs below 1.5%. However, the standard deviations for all anthropometric indices exceeded acceptable limits for high data quality when using WHO growth standards. 3D imaging was highly correlated with manual measurements but overestimated length and head circumference by an average of 1.61 cm and 2.27 cm, respectively. Qualitative feedback indicated staff preferred manual anthropometry due to lighting and environmental challenges with 3D imaging. The study demonstrates that manual anthropometry is feasible and reliable postmortem, even with rigor mortis, but 3D imaging requires adjustments for accuracy and usability.

STUDY TYPE

other

SPECIALTY

pediatrics

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ORIGINAL PAPER

PMC10538800

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

PLOS ONE

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ABSTRACT

Abstract Background The Child Health and Mortality Prevention Surveillance Network (CHAMPS) identifies causes of under-5 mortality in high mortality countries. 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 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 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 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.

CITATION EXPORT

Priya M Gupta, Kasthuri Sivalogan, Richard Oliech et al.. Impact of anthropometry training and feasibility of 3D imaging on anthropometry data quality among children under five years in a postmortem setting. PLOS ONE. (2023). https://doi.org/10.1371/journal.pone.0292046

AUTHORS

14 · 7 CENTRES

Priya M Gupta, Kasthuri Sivalogan, Richard Oliech, Eugene Alexander, Jamie Klein, O Yaw Addo, Dickson Gethi, Victor Akelo, Dianna M Blau, Parminder S Suchdev, Olutosin Ademola Otekunrin, Olutosin Ademola Otekunrin, Olutosin Ademola Otekunrin, Olutosin Ademola Otekunrin

1Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America
2Kenya Medical Research Institute, Kisumu, Kenya
3Body Surface Translations, Inc., Athens, Georgia, United States of America
4Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States of America
5US Centers for Disease Control and Prevention-Kenya, Kisumu and Nairobi, Kenya
6US Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
7Federal University of Agriculture Abeokuta, NIGERIA