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Published in: Sport Sciences for Health 2/2020

Open Access 01-06-2020 | Original Article

Test–retest repeatability of the NX-16: a three-dimensional (3D) body scanner in a male cohort

Authors: Damien Oliver Gleadall-Siddall, Richard Lincoln Turpin, Caroline Clare Douglas, Lee Ingle, Andrew Thomas Garrett

Published in: Sport Sciences for Health | Issue 2/2020

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Abstract

Purpose

Whole-body three-dimensional scanning is a tool utilised for the collection of body girths, volume, and surface area measurements. Few studies have investigated the validity and repeatability of this technology. The aim of the present study was to investigate the test retest variability of the NX-16 body scanner (NX-16, TC2, Cary, North Carolina, USA).

Methods

Phase one involved the measurement of a mannequin on 300 occasions (30 scans over 10 sessions). In phase two, 13 apparently healthy male participants were recruited; each participant was scanned a total of four times (two scans over two sessions). Stature, body mass, and body fat % were obtained. Fourteen girth measurements were obtained (chest, underbust, stomach, waist, seat, hip, R/L bicep, R/L thigh, R/L mid-thigh, and R/L calf). Coefficient of variation was calculated for measurements obtained.

Results

Coefficient of variation for phase one ranged from 0.0% for the R calf, to 3.3% for the L thigh measurement. For phase two, values were higher, ranging from 0.5% for calf and chest to 4.6% for thigh measurements.

Conclusions

Test–retest variability of the measurements provided by the NX-16 body scanner varied according to body location. However, variability within measurements was low using a mannequin or human participant. The NX-16 body scanner (TC2, Cary, North Carolina, USA) may be a useful tool for tracking changes in body composition over time during large population studies.
Literature
1.
go back to reference Ackland TR et al (2012) Current status of body composition assessment in sport review and position statement on behalf of the ad hoc research working group on body composition health and performance, under the auspices of the I.O.C medical commission. Sports Med 42(3):227–249PubMed Ackland TR et al (2012) Current status of body composition assessment in sport review and position statement on behalf of the ad hoc research working group on body composition health and performance, under the auspices of the I.O.C medical commission. Sports Med 42(3):227–249PubMed
2.
go back to reference Must A et al (1992) Long-term morbidity and mortality of overweight adolescents—a follow-up of the harvard growth study of 1922 to 1935. N Engl J Med 327(19):1350–1355PubMed Must A et al (1992) Long-term morbidity and mortality of overweight adolescents—a follow-up of the harvard growth study of 1922 to 1935. N Engl J Med 327(19):1350–1355PubMed
3.
go back to reference Brancati FL et al (1999) Body weight patterns from 20 to 49 years of age and subsequent risk for diabetes mellitus—the Johns Hopkins precursors study. Arch Intern Med 159(9):957–963PubMed Brancati FL et al (1999) Body weight patterns from 20 to 49 years of age and subsequent risk for diabetes mellitus—the Johns Hopkins precursors study. Arch Intern Med 159(9):957–963PubMed
4.
go back to reference Bosy-Westphal A et al (2013) What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur J Clin Nutr 67:S14–S21PubMed Bosy-Westphal A et al (2013) What makes a BIA equation unique? Validity of eight-electrode multifrequency BIA to estimate body composition in a healthy adult population. Eur J Clin Nutr 67:S14–S21PubMed
5.
go back to reference Janiszewski PM, Janssen I, Ross R (2007) Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors? Diabetes Care 30(12):3105–3109PubMed Janiszewski PM, Janssen I, Ross R (2007) Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors? Diabetes Care 30(12):3105–3109PubMed
6.
go back to reference Madden AM, Smith S (2016) Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet 29(1):7–25PubMed Madden AM, Smith S (2016) Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet 29(1):7–25PubMed
7.
go back to reference Bourgeois B et al (2017) Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design. Eur J Clin Nutr 71(11):1329–1335PubMedPubMedCentral Bourgeois B et al (2017) Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design. Eur J Clin Nutr 71(11):1329–1335PubMedPubMedCentral
8.
go back to reference Treleaven P, Wells J (2007) 3D body scanning and healthcare applications. Computer 40(7):28 Treleaven P, Wells J (2007) 3D body scanning and healthcare applications. Computer 40(7):28
9.
go back to reference Wells JCK et al (2015) Acceptability, precision and accuracy of 3D photonic scanning for measurement of body shape in a multi-ethnic sample of children aged 5–11 years: the SLIC study. PLoS One 10(4):15 Wells JCK et al (2015) Acceptability, precision and accuracy of 3D photonic scanning for measurement of body shape in a multi-ethnic sample of children aged 5–11 years: the SLIC study. PLoS One 10(4):15
10.
go back to reference Gropper SS et al (2012) Changes in body weight, composition, and shape: a 4-year study of college students. Appl Physiol Nutr Metab 37(6):1118–1123PubMed Gropper SS et al (2012) Changes in body weight, composition, and shape: a 4-year study of college students. Appl Physiol Nutr Metab 37(6):1118–1123PubMed
11.
go back to reference Schranz N et al (2010) Three-dimensional anthropometric analysis: differences between elite Australian rowers and the general population. J Sports Sci 28(5):459–469PubMed Schranz N et al (2010) Three-dimensional anthropometric analysis: differences between elite Australian rowers and the general population. J Sports Sci 28(5):459–469PubMed
12.
go back to reference Hopkins WG (2000) Measures of reliability in sports medicine and science. Sports Med 30(1):1–15 Hopkins WG (2000) Measures of reliability in sports medicine and science. Sports Med 30(1):1–15
13.
go back to reference Simenko J, Cuk I (2016) Reliability and validity of NX-16 3D body scanner. Int J Morphol 34(4):1506–1514 Simenko J, Cuk I (2016) Reliability and validity of NX-16 3D body scanner. Int J Morphol 34(4):1506–1514
16.
go back to reference Gleadall-Siddall DO et al. (2019) Test–retest repeatability of the NX-16, a three-dimensional (3D) body scanner in a male cohort. https://osf.io/y7qk2/. Accessed 24 Aug 2019 Gleadall-Siddall DO et al. (2019) Test–retest repeatability of the NX-16, a three-dimensional (3D) body scanner in a male cohort. https://​osf.​io/​y7qk2/​. Accessed 24 Aug 2019
17.
go back to reference Stevens J et al (2006) The definition of weight maintenance. Int J Obes 30(3):391–399 Stevens J et al (2006) The definition of weight maintenance. Int J Obes 30(3):391–399
18.
go back to reference Verweij LM et al (2013) Measurement error of waist circumference: gaps in knowledge. Public Health Nutr 16(2):281–288PubMed Verweij LM et al (2013) Measurement error of waist circumference: gaps in knowledge. Public Health Nutr 16(2):281–288PubMed
19.
go back to reference Wells JCK, Treleaven P, Cole TJ (2007) BMI compared with 3-dimensional body shape: the UK National Sizing Survey. Am J Clin Nutr 85(2):419–425PubMed Wells JCK, Treleaven P, Cole TJ (2007) BMI compared with 3-dimensional body shape: the UK National Sizing Survey. Am J Clin Nutr 85(2):419–425PubMed
20.
go back to reference Stewart AD et al (2011) International Standards for Anthropometric Assessment. International Society for the Advancement of Kinanthropometry, London Stewart AD et al (2011) International Standards for Anthropometric Assessment. International Society for the Advancement of Kinanthropometry, London
21.
go back to reference Shcherbina A et al (2017) Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort. J Personal Med 7(2):12 Shcherbina A et al (2017) Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort. J Personal Med 7(2):12
22.
go back to reference Bretschneider T et al (2009) Validation of the body scanner as a measuring tool for a rapid quantification of body shape. Skin Res Technol 15(3):364–369PubMed Bretschneider T et al (2009) Validation of the body scanner as a measuring tool for a rapid quantification of body shape. Skin Res Technol 15(3):364–369PubMed
23.
go back to reference Brookewavell K, Jones PRM, West GM (1994) Reliability and repeatability of 3-D body scanner (LASS) measurements compared to anthropometry. Ann Hum Biol 21(6):571–577 Brookewavell K, Jones PRM, West GM (1994) Reliability and repeatability of 3-D body scanner (LASS) measurements compared to anthropometry. Ann Hum Biol 21(6):571–577
24.
go back to reference Wang J et al (2006) Validation of a 3-dimensional photonic scanner for the measurement of body volumes, dimensions, and percentage body fat. Am J Clin Nutr 83(4):809–816PubMedPubMedCentral Wang J et al (2006) Validation of a 3-dimensional photonic scanner for the measurement of body volumes, dimensions, and percentage body fat. Am J Clin Nutr 83(4):809–816PubMedPubMedCentral
Metadata
Title
Test–retest repeatability of the NX-16: a three-dimensional (3D) body scanner in a male cohort
Authors
Damien Oliver Gleadall-Siddall
Richard Lincoln Turpin
Caroline Clare Douglas
Lee Ingle
Andrew Thomas Garrett
Publication date
01-06-2020
Publisher
Springer Milan
Published in
Sport Sciences for Health / Issue 2/2020
Print ISSN: 1824-7490
Electronic ISSN: 1825-1234
DOI
https://doi.org/10.1007/s11332-019-00611-8

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