Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings. / Schneller, Mikkel Bo; Pedersen, Mogens Theisen; Gupta, Nidhi; Aadahl, Mette; Holtermann, Andreas.

In: Sensors, Vol. 15, No. 3, 2015, p. 6133-6151.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Schneller, MB, Pedersen, MT, Gupta, N, Aadahl, M & Holtermann, A 2015, 'Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings', Sensors, vol. 15, no. 3, pp. 6133-6151. https://doi.org/10.3390/s150306133

APA

Schneller, M. B., Pedersen, M. T., Gupta, N., Aadahl, M., & Holtermann, A. (2015). Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings. Sensors, 15(3), 6133-6151. https://doi.org/10.3390/s150306133

Vancouver

Schneller MB, Pedersen MT, Gupta N, Aadahl M, Holtermann A. Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings. Sensors. 2015;15(3):6133-6151. https://doi.org/10.3390/s150306133

Author

Schneller, Mikkel Bo ; Pedersen, Mogens Theisen ; Gupta, Nidhi ; Aadahl, Mette ; Holtermann, Andreas. / Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings. In: Sensors. 2015 ; Vol. 15, No. 3. pp. 6133-6151.

Bibtex

@article{ed5acf182add4bc199eaa72a28b4e44a,
title = "Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings",
abstract = "We compared the accuracy of five objective methods, including two newly developed methods combining accelerometry and activity type recognition (Acti4), against indirect calorimetry, to estimate total energy expenditure (EE) of different activities in semi-standardized settings. Fourteen participants performed a standardized and semi-standardized protocol including seven daily life activity types, while having their EE measured by indirect calorimetry. Simultaneously, physical activity was quantified by an ActivPAL3, two ActiGraph GT3X+'s and an Actiheart. EE was estimated by the standard ActivPAL3 software (ActivPAL), ActiGraph GT3X+ (ActiGraph) and Actiheart (Actiheart), and by a combination of activity type recognition via Acti4 software and activity counts per minute (CPM) of either a hip- or thigh-worn ActiGraph GT3X+ (AGhip + Acti4 and AGthigh + Acti4). At group level, estimated physical activities EE by Actiheart (MSE = 2.05) and AGthigh + Acti4 (MSE = 0.25) were not significantly different from measured EE by indirect calorimetry, while significantly underestimated by ActiGraph, ActivPAL and AGhip + Acti4. AGthigh + Acti4 and Actiheart explained 77{\%} and 45{\%}, of the individual variations in measured physical activity EE by indirect calorimetry, respectively. This study concludes that combining accelerometer data from a thigh-worn ActiGraph GT3X+ with activity type recognition improved the accuracy of activity specific EE estimation against indirect calorimetry in semi-standardized settings compared to previously validated methods using CPM only.",
author = "Schneller, {Mikkel Bo} and Pedersen, {Mogens Theisen} and Nidhi Gupta and Mette Aadahl and Andreas Holtermann",
note = "CURIS 2015 NEXS 108",
year = "2015",
doi = "10.3390/s150306133",
language = "English",
volume = "15",
pages = "6133--6151",
journal = "Sensors",
issn = "1424-8220",
publisher = "M D P I AG",
number = "3",

}

RIS

TY - JOUR

T1 - Validation of five minimally obstructive methods to estimate physical activity energy expenditure in young adults in semi-standardized settings

AU - Schneller, Mikkel Bo

AU - Pedersen, Mogens Theisen

AU - Gupta, Nidhi

AU - Aadahl, Mette

AU - Holtermann, Andreas

N1 - CURIS 2015 NEXS 108

PY - 2015

Y1 - 2015

N2 - We compared the accuracy of five objective methods, including two newly developed methods combining accelerometry and activity type recognition (Acti4), against indirect calorimetry, to estimate total energy expenditure (EE) of different activities in semi-standardized settings. Fourteen participants performed a standardized and semi-standardized protocol including seven daily life activity types, while having their EE measured by indirect calorimetry. Simultaneously, physical activity was quantified by an ActivPAL3, two ActiGraph GT3X+'s and an Actiheart. EE was estimated by the standard ActivPAL3 software (ActivPAL), ActiGraph GT3X+ (ActiGraph) and Actiheart (Actiheart), and by a combination of activity type recognition via Acti4 software and activity counts per minute (CPM) of either a hip- or thigh-worn ActiGraph GT3X+ (AGhip + Acti4 and AGthigh + Acti4). At group level, estimated physical activities EE by Actiheart (MSE = 2.05) and AGthigh + Acti4 (MSE = 0.25) were not significantly different from measured EE by indirect calorimetry, while significantly underestimated by ActiGraph, ActivPAL and AGhip + Acti4. AGthigh + Acti4 and Actiheart explained 77% and 45%, of the individual variations in measured physical activity EE by indirect calorimetry, respectively. This study concludes that combining accelerometer data from a thigh-worn ActiGraph GT3X+ with activity type recognition improved the accuracy of activity specific EE estimation against indirect calorimetry in semi-standardized settings compared to previously validated methods using CPM only.

AB - We compared the accuracy of five objective methods, including two newly developed methods combining accelerometry and activity type recognition (Acti4), against indirect calorimetry, to estimate total energy expenditure (EE) of different activities in semi-standardized settings. Fourteen participants performed a standardized and semi-standardized protocol including seven daily life activity types, while having their EE measured by indirect calorimetry. Simultaneously, physical activity was quantified by an ActivPAL3, two ActiGraph GT3X+'s and an Actiheart. EE was estimated by the standard ActivPAL3 software (ActivPAL), ActiGraph GT3X+ (ActiGraph) and Actiheart (Actiheart), and by a combination of activity type recognition via Acti4 software and activity counts per minute (CPM) of either a hip- or thigh-worn ActiGraph GT3X+ (AGhip + Acti4 and AGthigh + Acti4). At group level, estimated physical activities EE by Actiheart (MSE = 2.05) and AGthigh + Acti4 (MSE = 0.25) were not significantly different from measured EE by indirect calorimetry, while significantly underestimated by ActiGraph, ActivPAL and AGhip + Acti4. AGthigh + Acti4 and Actiheart explained 77% and 45%, of the individual variations in measured physical activity EE by indirect calorimetry, respectively. This study concludes that combining accelerometer data from a thigh-worn ActiGraph GT3X+ with activity type recognition improved the accuracy of activity specific EE estimation against indirect calorimetry in semi-standardized settings compared to previously validated methods using CPM only.

U2 - 10.3390/s150306133

DO - 10.3390/s150306133

M3 - Journal article

C2 - 25781506

VL - 15

SP - 6133

EP - 6151

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 3

ER -

ID: 132687379