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Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years

BACKGROUND: To assess physical activity (PA) there is a need of objective, valid and reliable measurement methods like accelerometers. Before these devices can be used for research, they need to be calibrated and validated for specific age groups as the locomotion differs between children and adults...

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Autores principales: Beck, Franziska, Marzi, Isabel, Eisenreich, Alina, Seemüller, Selina, Tristram, Clara, Reimers, Anne K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683356/
https://www.ncbi.nlm.nih.gov/pubmed/38017586
http://dx.doi.org/10.1186/s13102-023-00775-4
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author Beck, Franziska
Marzi, Isabel
Eisenreich, Alina
Seemüller, Selina
Tristram, Clara
Reimers, Anne K.
author_facet Beck, Franziska
Marzi, Isabel
Eisenreich, Alina
Seemüller, Selina
Tristram, Clara
Reimers, Anne K.
author_sort Beck, Franziska
collection PubMed
description BACKGROUND: To assess physical activity (PA) there is a need of objective, valid and reliable measurement methods like accelerometers. Before these devices can be used for research, they need to be calibrated and validated for specific age groups as the locomotion differs between children and adults, for instance. Therefore, the aim of the present study was the calibration and validation of the Move4 accelerometer for children aged 8–13 years. METHODS: 53 normal weighted children (52% boys, 48%girls) aged 8–13 years (mean age = 10.69 ± 1.46, mean BMI = 17.93 kg/m(− 2), 60th percentile), wore the Move4 sensor at four different body positions (thigh, hip, wrist and the Move4ecg including heart rate measurement at the chest). They completed nine activities that considered the four activity levels (sedentary behavior (SB), light PA (LPA), moderate PA (MPA) and vigorous PA (VPA)) within a test-retest design. Intensity values were determined using the mean amplitude deviation (MAD) as well as the movement acceleration intensity (MAI) metrics. Determination of activities and energy expenditure was validated using heart rate. After that, cut-off points were determined in Matlab by using the Classification and Regression Trees (CART) method. The agreement for the cut-off points between T1 and T2 was analyzed. RESULTS: MAD and MAI accelerometer values were lowest when children were lying on the floor and highest when running or doing jumping jacks. The mean correlation coefficient between acceleration values and heart rate was 0.595 (p = 0.01) for MAD metric and 0.611 (p = 0.01) for MAI metric, indicating strong correlations. Further, the MAD cut-off points for SB-LPA are 52.9 mg (hip), 62.4 mg (thigh), 86.4 mg (wrist) and 45.9 mg (chest), for LPA-MPA they are 173.3 mg (hip), 260.7 mg (thigh), 194.4 mg (wrist) and 155.7 mg (chest) and for MPA-VPA the cut-off points are 543.6 mg (hip), 674.5 mg (thigh), 623.4 mg (wrist) and 545.5 mg (chest). Test-retest comparison indicated good values (mean differences = 9.8%). CONCLUSION: This is the first study investigating cut-off points for children for four different sensor positions using raw accelerometer metrics (MAD/MAI). Sensitivity and specificity revealed good values for all positions. Nevertheless, depending on the sensor position, metric values differ according to the different involvement of the body in various activities. Thus, the sensor position should be carefully chosen depending on the research question of the study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-023-00775-4.
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spelling pubmed-106833562023-11-30 Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years Beck, Franziska Marzi, Isabel Eisenreich, Alina Seemüller, Selina Tristram, Clara Reimers, Anne K. BMC Sports Sci Med Rehabil Research BACKGROUND: To assess physical activity (PA) there is a need of objective, valid and reliable measurement methods like accelerometers. Before these devices can be used for research, they need to be calibrated and validated for specific age groups as the locomotion differs between children and adults, for instance. Therefore, the aim of the present study was the calibration and validation of the Move4 accelerometer for children aged 8–13 years. METHODS: 53 normal weighted children (52% boys, 48%girls) aged 8–13 years (mean age = 10.69 ± 1.46, mean BMI = 17.93 kg/m(− 2), 60th percentile), wore the Move4 sensor at four different body positions (thigh, hip, wrist and the Move4ecg including heart rate measurement at the chest). They completed nine activities that considered the four activity levels (sedentary behavior (SB), light PA (LPA), moderate PA (MPA) and vigorous PA (VPA)) within a test-retest design. Intensity values were determined using the mean amplitude deviation (MAD) as well as the movement acceleration intensity (MAI) metrics. Determination of activities and energy expenditure was validated using heart rate. After that, cut-off points were determined in Matlab by using the Classification and Regression Trees (CART) method. The agreement for the cut-off points between T1 and T2 was analyzed. RESULTS: MAD and MAI accelerometer values were lowest when children were lying on the floor and highest when running or doing jumping jacks. The mean correlation coefficient between acceleration values and heart rate was 0.595 (p = 0.01) for MAD metric and 0.611 (p = 0.01) for MAI metric, indicating strong correlations. Further, the MAD cut-off points for SB-LPA are 52.9 mg (hip), 62.4 mg (thigh), 86.4 mg (wrist) and 45.9 mg (chest), for LPA-MPA they are 173.3 mg (hip), 260.7 mg (thigh), 194.4 mg (wrist) and 155.7 mg (chest) and for MPA-VPA the cut-off points are 543.6 mg (hip), 674.5 mg (thigh), 623.4 mg (wrist) and 545.5 mg (chest). Test-retest comparison indicated good values (mean differences = 9.8%). CONCLUSION: This is the first study investigating cut-off points for children for four different sensor positions using raw accelerometer metrics (MAD/MAI). Sensitivity and specificity revealed good values for all positions. Nevertheless, depending on the sensor position, metric values differ according to the different involvement of the body in various activities. Thus, the sensor position should be carefully chosen depending on the research question of the study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13102-023-00775-4. BioMed Central 2023-11-28 /pmc/articles/PMC10683356/ /pubmed/38017586 http://dx.doi.org/10.1186/s13102-023-00775-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Beck, Franziska
Marzi, Isabel
Eisenreich, Alina
Seemüller, Selina
Tristram, Clara
Reimers, Anne K.
Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title_full Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title_fullStr Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title_full_unstemmed Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title_short Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years
title_sort determination of cut-off points for the move4 accelerometer in children aged 8–13 years
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683356/
https://www.ncbi.nlm.nih.gov/pubmed/38017586
http://dx.doi.org/10.1186/s13102-023-00775-4
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