Validation of ACT24 Version 2.0 for Estimating Behavioral Domains, Active and Sedentary Time.


Journal

Medicine and science in sports and exercise
ISSN: 1530-0315
Titre abrégé: Med Sci Sports Exerc
Pays: United States
ID NLM: 8005433

Informations de publication

Date de publication:
01 06 2023
Historique:
pmc-release: 01 06 2024
medline: 16 5 2023
pubmed: 1 2 2023
entrez: 31 1 2023
Statut: ppublish

Résumé

The purpose of this study was to determine the criterion validity of Activities Completed over Time (ACT24), an automated previous-day recall tool designed for mobile devices for 1) estimating sedentary versus active time compared with an activPAL, and 2) estimating time spent in activity domains (e.g., work, household, leisure) compared with direct observation (DO). Over a 7-d study period, 53 participants were sent invitations to complete three automated ACT24 recalls and to wear an activPAL device. A subset ( N = 24) consented to two, 3-h video-recorded DO sessions. activPAL and ACT24 data were matched by date, and agreement for sedentary versus active time was compared between methods using paired t -tests for mean differences and spearman correlations. We compared DO and ACT24 results by domain for overall time use and separately for sedentary and active time using κ statistics and tested mean differences with linear mixed models. Compared with the activPAL, the mean difference in ACT24 sedentary time was 1.9% (mean (95% confidence interval), -0.17 (-0.75 to 0.40) h·d -1 ), and the mean difference for ACT24 active time was 2.2% (0.14 (-0.32 to 0.60) h·d -1 ). Correlations were R = 0.61 (95% confidence interval, 0.39 to 0.76) and R = 0.65 (0.44 to0.78) for sedentary and active time, respectively. Domain-specific agreement was substantial for leisure-time, work, and shopping/errands ( κ range, 0.63-0.79), moderate for transportation ( κ = 0.49), and fair for personal care and household activities ( κ = 0.24 and 0.33). ACT24 estimates of average time within each domain were not significantly different from DO. The present study confirms that ACT24 is accurate for group-level estimation of active and sedentary time. Domain-specific agreement tended to be higher for more commonly reported activities and those that were of longer duration.

Identifiants

pubmed: 36719650
doi: 10.1249/MSS.0000000000003135
pii: 00005768-202306000-00009
pmc: PMC10191973
mid: NIHMS1867966
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1054-1062

Subventions

Organisme : NCI NIH HHS
ID : 75N91019C00001
Pays : United States

Informations de copyright

Copyright © 2023 by the American College of Sports Medicine.

Références

Piercy KL, Troiano RP, Ballard RM, et al. The Physical Activity Guidelines for Americans. JAMA . 2018;320(19):2020–8.
Holtermann A, Krause N, van der Beek AJ, Straker L. The physical activity paradox: six reasons why occupational physical activity (OPA) does not confer the cardiovascular health benefits that leisure time physical activity does. Br J Sports Med . 2018;52(3):149–50.
Bauman AE, Reis RS, Sallis JF, et al. Correlates of physical activity: why are some people physically active and others not? Lancet . 2012;380(9838):258–71.
Prince SA, Reed JL, McFetridge C, Tremblay MS, Reid RD. Correlates of sedentary behaviour in adults: a systematic review. Obes Rev . 2017;18(8):915–35.
Matthews CE, Kozey Keadle S, Moore SC, et al. Measurement of active and sedentary behavior in context of large epidemiologic studies. Med Sci Sports Exerc . 2018;50(2):266–76.
Ferrari P, Friedenreich C, Matthews CE. The role of measurement error in estimating levels of physical activity. Am J Epidemiol . 2007;166(7):832–40.
Matthews CE, Keadle SK, Sampson J, et al. Validation of a previous-day recall measure of active and sedentary behaviors. Med Sci Sports Exerc . 2013;45(8):1629–38.
Kozey Keadle S, Lyden K, Hickey A, et al. Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation. Int J Behav Nutr Phys Act . 2014;11:12.
Clark BK, Winkler E, Healy GN, et al. Adults’ past-day recall of sedentary time: reliability, validity, and responsiveness. Med Sci Sports Exerc . 2013;45(6):1198–207.
Harms T, Gershuny J, Doherty A, Thomas E, Milton K, Foster C. A validation study of the Eurostat harmonised European time use study (HETUS) diary using wearable technology. BMC Public Health . 2019;19(2 Suppl):455.
Matthews CE, Freedson PS, Hebert JR, Stanek EJ 3rd, Merriam PA, Ockene IS. Comparing physical activity assessment methods in the Seasonal Variation of Blood Cholesterol Study. Med Sci Sports Exerc . 2000;32(5):976–84.
Matthews CE, Hebert JR, Freedson PS, et al. Sources of variance in daily physical activity levels in the seasonal variation of blood cholesterol study. Am J Epidemiol . 2001;153(10):987–95.
NCI Division of Cancer Epidemiology and Genetics. ACT24: Activities Completed over Time in 24 Hours . Bethesda (MD); 2022 [cited 2022 July 27]. Available from: https://dceg.cancer.gov/research/how-we-study/exposure-assessment/activities-completed-over-time-24-hours-act-24 .
National Center for Health Statistics. National Health Interview Survey—Adult Physical Activity Questions: List of Questionnaires: National Center for Health Statistics; 2022 [cited 2019 June]. Available from: https://www.cdc.gov/nchs/nhis/physical_activity/pa_questions.htm
Ainsworth BE, Haskell WL, Herrmann SD, et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc . 2011;43(8):1575–81.
Bureau of Labor Statistics. American Time Use Survey—Activity Coding Lexicons and Coding Rules Manuals. 2016 [cited 2022 August 21]. Available from: https://www.bls.gov/tus/lexicons.htm .
Speirs C. activPAL: Advanced Processing and Chart Generation from activPAL Events Files. R package version 0.1.3 2019. [cited 2022 August 21]. Available from: https://CRAN.R-project.org/package=activPAL .
Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPALTM accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc . 2017;49(5):1022–8.
Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc . 2011;43(8):1561–7.
Lyden K, Petruski N, Staudenmayer J, Freedson P. Direct observation is a valid criterion for estimating physical activity and sedentary behavior. J Phys Act Health . 2014;11(4):860–3.
Bureau of Labor and Statistics. American Time Use Survey. 2015 [cited 2022 August 1]. Available from: http://www.bls.gov/tus/tables.htm .
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics . 1977;33(1):159–74.

Auteurs

Sarah Kozey Keadle (SK)

Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.

Shreya Patel (S)

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.

David Berrigan (D)

Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.

Cami N Christopher (CN)

Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.

Jeffery Huang (J)

Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.

Pedro F Saint-Maurice (PF)

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.

Erikka Loftfield (E)

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.

Charles E Matthews (CE)

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.

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