Validity of estimating physical activity intensity using a triaxial accelerometer in healthy adults and older adults.
accelerometer
elderly people
physical activity
validation
Journal
BMJ open sport & exercise medicine
ISSN: 2055-7647
Titre abrégé: BMJ Open Sport Exerc Med
Pays: England
ID NLM: 101681007
Informations de publication
Date de publication:
2019
2019
Historique:
accepted:
14
09
2019
entrez:
22
11
2019
pubmed:
22
11
2019
medline:
22
11
2019
Statut:
epublish
Résumé
A triaxial accelerometer with an algorithm that could discriminate locomotive and non-locomotive activities in adults has been developed. However, in the elderly, this accelerometer has not yet been validated. The aim were to examine the validity of this accelerometer in the healthy elderly, and to compare the results with those derived in a healthy younger sample. Twenty-nine healthy elderly subjects aged 60-80 years (Elderly), and 42 adults aged 20-59 years (Younger) participated. All subjects performed 11 activities, including locomotive and non-locomotive activities with a Douglas bag while wearing the accelerometer (Active style Pro HJA-750C). Physical activity intensities were expressed as metabolic equivalents (METs). The relationship between the METs measured using the Douglas bag and METs predicted using the accelerometer was evaluated. A significant correlation between actual and predicted METs was observed in both Elderly (r=0.85, p<0.001) and Younger (r=0.88, p<0.001). Predicted METs significantly underestimated compared with actual METs in both groups (p<0.001). The mean of the errors was -0.6±0.6 METs in Elderly and -0.1±0.5 METs in Younger. The degree of underestimation increased with increasing METs in Elderly (p<0.001). A stepwise multiple regression analysis revealed that predicted METs, age, and weight were related to actual METs in both groups. The degree of correlation between predicted and actual METs was comparable in elderly and younger participants, but the prediction errors were greater in elderly participants, particular at higher-intensity activities, which suggests that different predicting equations may be needed for the elderly.
Sections du résumé
BACKGROUND
BACKGROUND
A triaxial accelerometer with an algorithm that could discriminate locomotive and non-locomotive activities in adults has been developed. However, in the elderly, this accelerometer has not yet been validated. The aim were to examine the validity of this accelerometer in the healthy elderly, and to compare the results with those derived in a healthy younger sample.
METHODS
METHODS
Twenty-nine healthy elderly subjects aged 60-80 years (Elderly), and 42 adults aged 20-59 years (Younger) participated. All subjects performed 11 activities, including locomotive and non-locomotive activities with a Douglas bag while wearing the accelerometer (Active style Pro HJA-750C). Physical activity intensities were expressed as metabolic equivalents (METs). The relationship between the METs measured using the Douglas bag and METs predicted using the accelerometer was evaluated.
RESULTS
RESULTS
A significant correlation between actual and predicted METs was observed in both Elderly (r=0.85, p<0.001) and Younger (r=0.88, p<0.001). Predicted METs significantly underestimated compared with actual METs in both groups (p<0.001). The mean of the errors was -0.6±0.6 METs in Elderly and -0.1±0.5 METs in Younger. The degree of underestimation increased with increasing METs in Elderly (p<0.001). A stepwise multiple regression analysis revealed that predicted METs, age, and weight were related to actual METs in both groups.
CONCLUSION
CONCLUSIONS
The degree of correlation between predicted and actual METs was comparable in elderly and younger participants, but the prediction errors were greater in elderly participants, particular at higher-intensity activities, which suggests that different predicting equations may be needed for the elderly.
Identifiants
pubmed: 31749982
doi: 10.1136/bmjsem-2019-000592
pii: bmjsem-2019-000592
pmc: PMC6830471
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e000592Informations de copyright
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: SHN is employee of Omron Healthcare Co., Ltd. YO received consultant fees from Omron Healthcare Co., Ltd. SK and ST received a research grant from Omron Healthcare Co., Ltd, respectively.
Références
Acta Physiol (Oxf). 2006 Feb;186(2):127-39
pubmed: 16497190
J Appl Physiol (1985). 2006 Apr;100(4):1324-31
pubmed: 16322367
Gait Posture. 2010 Mar;31(3):370-4
pubmed: 20138524
J Physiol Anthropol. 2010;29(3):109-17
pubmed: 20558969
Med Sci Sports Exerc. 2013 Mar;45(3):574-82
pubmed: 23059862
Br J Nutr. 2011 Jun;105(11):1681-91
pubmed: 21262061
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S512-22
pubmed: 16294114
Med Sci Sports Exerc. 2010 May;42(5):1029-37
pubmed: 20400882
J Epidemiol. 2018 May 5;28(5):260-265
pubmed: 29176275
Med Sci Sports Exerc. 2016 Nov;48(11):2216-2221
pubmed: 27327031
J Physiol Anthropol. 2011;30(3):119-27
pubmed: 21636955
J Aging Phys Act. 2009 Jan;17(1):17-30
pubmed: 19299836
Res Q Exerc Sport. 2000 Jun;71 Suppl 2:89-96
pubmed: 25680018
J Appl Physiol (1985). 2005 Sep;99(3):1112-9
pubmed: 15831804
J Appl Physiol (1985). 2007 Jun;102(6):2266-73
pubmed: 17363623
J Physiol. 1949 Aug;109(1-2):1-9
pubmed: 15394301
J Sci Med Sport. 2017 Nov;20(11):1003-1007
pubmed: 28483558
BMC Public Health. 2014 Apr 09;14:333
pubmed: 24712381
JAMA Intern Med. 2016 May 1;176(5):702-3
pubmed: 26999758
Med Sci Sports Exerc. 2015 May;47(5):1017-25
pubmed: 25202852
J Phys Act Health. 2011 Mar;8(3):372-81
pubmed: 21487136
Med Sci Sports Exerc. 2003 Apr;35(4):675-81
pubmed: 12673153
J Aging Phys Act. 2017 Jan;25(1):41-50
pubmed: 27180730
Med Sci Sports Exerc. 2009 Sep;41(9):1770-7
pubmed: 19657292
PLoS One. 2014 Apr 22;9(4):e94940
pubmed: 24755646
Br J Sports Med. 2003 Jun;37(3):197-206; discussion 206
pubmed: 12782543