Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry.


Journal

European journal of clinical nutrition
ISSN: 1476-5640
Titre abrégé: Eur J Clin Nutr
Pays: England
ID NLM: 8804070

Informations de publication

Date de publication:
02 2022
Historique:
received: 31 10 2020
accepted: 30 04 2021
revised: 21 04 2021
pubmed: 28 5 2021
medline: 1 4 2022
entrez: 27 5 2021
Statut: ppublish

Résumé

Three-dimensional optical (3DO) imaging devices for acquiring anthropometric measurements are proliferating in healthcare facilities, although applicability in young children has not been evaluated; small body size and movement may limit device accuracy. The current study aim was to critically test three commercial 3DO devices in young children. The number of successful scans and circumference measurements at six anatomic sites were quantified with the 3DO devices in 64 children, ages 5-8 years. Of the scans available for processing, 3DO and flexible tape-measure measurements made by a trained anthropometrist were compared. Sixty of 181 scans (33.1%) could not be processed for technical reasons. Of processed scans, mean 3DO-tape circumference differences tended to be small (~1-9%) and varied across systems; correlations and bias estimates also varied in strength across anatomic sites and systems (e.g., regression R Available 3DO devices for quantifying anthropometric dimensions in adults vary in applicability in young children according to instrument design. These findings suggest the need for 3DO devices designed specifically for small and/or young children.

Identifiants

pubmed: 34040201
doi: 10.1038/s41430-021-00938-x
pii: 10.1038/s41430-021-00938-x
pmc: PMC8617044
mid: NIHMS1699396
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

251-260

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK040561
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK111698
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK072476
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK109008
Pays : United States

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Références

Janssen I, Leblanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:40.
doi: 10.1186/1479-5868-7-40
Loeffler-Wirth H, Vogel M, Kirsten T, Glock F, Poulain T, Korner A, et al. Longitudinal anthropometry of children and adolescents using 3D-body scanning. PLoS ONE. 2018;13:e0203628.
doi: 10.1371/journal.pone.0203628
Skinner AC, Ravanbakht SN, Skelton JA, Perrin EM, Armstrong SC. Prevalence of obesity and severe obesity in US children, 1999-2016. Pediatrics. 2018;141:e20173459.
doi: 10.1542/peds.2017-3459
Lifshitz F. Obesity in children. J Clin Res Pediatr Endocrinol. 2008;1:53–60.
doi: 10.4008/jcrpe.v1i2.35
Cameron N. The measurement of human growth. London: Croom Helm; 1984.
Madden AM, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet. 2016;29:7–25.
doi: 10.1111/jhn.12278
Ulijaszek SJ, Mascie-Taylor CGN. Anthropometry: the individual and the population, Cambridge: Cambridge University Press; 1994.
Frisancho AR. Anthropometric standards for the assessment of growth and nutritional status. Ann Arbor: University of Michigan Press; 1990.
Roche AF, Mukherjee D, Guo SM, Moore WM. Head circumference reference data: birth to 18 years. Pediatrics. 1987;75:706–12.
doi: 10.1542/peds.79.5.706
Din N, Fan B, Kazemi L, Ng B. Validation of body composition measures from forearm and lateral distal femur scans of children [abstract]. J Clin Densitom. 2018;21:32.
doi: 10.1016/j.jocd.2017.10.034
Kalkwarf HJ, Zemel BS, Gilsanz V, Lappe JM, Horlick M, Oberfield S, et al. The bone mineral density in childhood study: bone mineral content and density according to age, sex, and race. J Clin Endocrinol Metab. 2007;92:2087–99.
doi: 10.1210/jc.2006-2553
Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-Ray absorptiometry body composition reference values from NHANES. PLoS ONE. 2009;4:e7038.
doi: 10.1371/journal.pone.0007038
Shepherd JA, Wang L, Fan B, Gilsanz V, Kalkwarf HJ, Lappe J, et al. Optimal monitoring time interval between DXA measures in children. J Bone Miner Res. 2011;26:2745–52.
doi: 10.1002/jbmr.473
Kennedy S, Hwaung P, Kelly N, Liu YE, Sobhiyeh S, Heo M, et al. Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use. Eur J Clin Nutr. 2020;74:920–9.
doi: 10.1038/s41430-019-0501-2
Tinsley GM, Moore ML, Benavides ML, Dellinger JR, Adamson BT. 3-Dimensional optical scanning for body composition assessment: a 4-component model comparison of four commercially available scanners. Clin Nutr. 2020;39:3160–7.
doi: 10.1016/j.clnu.2020.02.008
Wong MC, Ng BK, Kennedy SF, Hwaung P, Liu EY, Kelly NN, et al. Children and adolescents’ anthropometrics body composition from 3-D optical surface scans. Obesity. 2019;27:1738–49.
doi: 10.1002/oby.22637
Bourgeois B, Ng BK, Latimer D, Stannard CR, Romeo L, Li X, et al. Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design. Eur J Clin Nutr. 2017;71:1329–35.
doi: 10.1038/ejcn.2017.142
Ng BK, Hinton BJ, Fan B, Kanaya AM, Shepherd JA. Clinical anthropometrics and body composition from 3D whole-body surface scans. Eur J Clin Nutr. 2016;70:1265–70.
doi: 10.1038/ejcn.2016.109
Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey (NHANES): anthropometry procedures manual. Hyattsville, MD: Centers for Disease Control and Prevention (CDC); 2007.
Heymsfield SB, Bourgeois B, Ng BK, Sommer MJ, Li X, Shepherd JA. Digital anthropometry: a critical review. Eur J Clin Nutr. 2018;72:680–7.
doi: 10.1038/s41430-018-0145-7

Auteurs

Samantha Kennedy (S)

Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.

Brooke Smith (B)

Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.

Sima Sobhiyeh (S)

Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.

Marcelline E Dechenaud (ME)

Louisiana State University, Baton Rouge, LA, USA.

Michael Wong (M)

University of Hawaii Cancer Center, Honolulu, HI, USA.

Nisa Kelly (N)

University of Hawaii Cancer Center, Honolulu, HI, USA.

John Shepherd (J)

University of Hawaii Cancer Center, Honolulu, HI, USA.

Steven B Heymsfield (SB)

Pennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA. steven.heymsfield@pbrc.edu.

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