Gershuny J, Harms TA. Housework Now Takes Much Less Time: 85 Years of US Rural Women's Time Use. Soc Forces. 2016;95(2):503–24.
Article
Google Scholar
Passmore R, Durnin JVG. Human Energy Expenditure. Physiol Rev. 1955;35:801–40.
Article
CAS
Google Scholar
Bouchard C, Tremblay A, Leblanc C, Lortie G, Savard R, Theriault G. A method to assess energy expenditure in children and adults. Am J Clin Nutr. 1983;37:461–7.
Article
CAS
Google Scholar
Ainsworth BE, Irwin ML, Addy CL, Whitt MC, Stolarczyk LM. Moderate physical activity patterns of minority women: the Cross-Cultural Activity Participation Study. J Womens Health Gend Based Med. 1999;8(6):805–13.
Article
CAS
Google Scholar
Sallis JF. A collection of physical activity questionnaires for health-related research: Seven-day physical activity recall. In: Kriska AM, Casperson CJ, editors. A Collection of Physical Activity Questionnaires Medicine & Science in Sports & Exercise. 291997. p. S89–S103.
Blair S, Haskell W, Ho P, Paffenbarger R, Vranizian K, Farquahar J, et al. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am J Epidemiol. 1985;122(5):794–804.
Article
CAS
Google Scholar
Montoye HJ. Estimation of habitual physical activity by questionnaire and interview. Am J Clin Nutr. 1971;24:1113–8.
Article
CAS
Google Scholar
Montoye HJ. Physical Activity and Health: An Epidemiolgic Study of an Entire Community. Englewood-Cliffs, NJ: Prenticce-Hall, Inc.; 1975. p. 13–28.
Google Scholar
Taylor H, Jacobs D, Schucker B, Knudsen J, Leon A, DeBacker G. A questionnaire for the assessment of leisure-time physical activities. J Chronic Dis. 1978;31:741–55.
Article
CAS
Google Scholar
Baecke J, Burema J. Frijters J. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36:936–42.
Article
CAS
Google Scholar
Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. The Lancet. 2012;380(9838):219–29.
Article
Google Scholar
Kyu HH, Bachman VF, Alexander LT, Mumford JE, Afshin A, Estep K, et al. Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ. 2016;354.
Keadle SK, Moore SC, Sampson JN, Xiao Q, Albanes D, Matthews CE. Causes of Death Associated with Prolonged TV Viewing: NIH-AARP Diet and Health Study. Am J Prev Med. 2015;49(6):811–21.
Article
Google Scholar
Dunstan DW, Barr ELM, Healy GN, Salmon J, Shaw JE, Balkau B, et al. Television Viewing Time and Mortality. The Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010;121:384–91.
Article
CAS
Google Scholar
Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37.
Neilson HK, Robson PJ, Friedenreich CM, Csizmadi I. Estimating activity energy expenditure: how valid are physical activity questionnaires? Am J Clin Nutr. 2008;87(2):279–91.
Article
CAS
Google Scholar
Troiano RP, Pettee Gabriel KK, Welk GJ, Owen N, Sternfeld B. Reported physical activity and sedentary behavior: why do you ask? J Phys Act Health. 2012;9(Suppl 1):S68–75.
Article
Google Scholar
Matthews CE, Moore SC, George SM, Sampson J, Bowles HR. Improving Self-reports of Active and Sedentary Behaviors in Large Epidemiologic Studies. Exerc Sport Sci Rev. 2012;40(3):118–26.
PubMed
PubMed Central
Google Scholar
Matthews CE, Keadle SK, Saint-Maurice PF, Moore SC, Willis EA, Sampson JN, et al. Use of Time and Energy on Exercise, Prolonged TV Viewing, and Work Days. Am J Prev Med. 2018;55(3):E61–E9.
Article
Google Scholar
Schatzkin A, Subar AF, Moore S, Park Y, Potischman N, Thompson FE, et al. Observational Epidemiologic Studies of Nutrition and Cancer: The Next Generation (with Better Observation). Cancer Epidemiol Biomarkers Prev. 2009;18(4):1026–32.
Article
Google Scholar
Bianchi SM, Milkie MA, Sayer JP, Robinson JP. Is Anyone Doing the Housework? Trends in the Gender Division of Household Labor. Soc Forces. 2000;79:191–228.
Article
Google Scholar
Matthews CE, Keadle SK, Troiano RP, Kahle L, Koster A, Brychta R, et al. Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. Am J Clin Nutr. 2016;104(5):1424–32.
Article
CAS
Google Scholar
Schmid D, Leitzmann MF. Television viewing and time spent sedentary in relation to cancer risk: a meta-analysis. J Natl Cancer Inst. 2014;106(7).
Gomersall SR, Norton K, Maher C, English C, Olds TS. In search of lost time: When people undertake a new exercise program, where does the time come from? A randomized controlled trial. J Sci Med Sport. 2015;18(1):43–8.
Article
Google Scholar
Gomersall S, Maher C, English C, Rowlands A, Olds T. Time regained: when people stop a physical activity program, how does their time use change? A randomised controlled trial. PLoS One. 2015;10(5):e0126665.
Article
Google Scholar
Dunton GF. Ecological Momentary Assessment in Physical Activity Research. Exerc Sport Sci Rev. 2017;45(1):48–54.
Article
Google Scholar
Keadle SK, Conroy DE, Buman MP, Dunstan DW, Matthews CE. Targeting Reductions in Sitting Time to Increase Physical Activity and Improve Health. Med Sci Sports Exerc. 2017;49(8):1572–82.
Article
Google Scholar
Kim Y, Welk GJ. Characterizing the context of sedentary lifestyles in a representative sample of adults: a cross-sectional study from the physical activity measurement study project. BMC Public Health. 2015;15:1218.
Article
Google Scholar
Australian Department of Health. Australian 24-Hour Movement Guidelines for the Early Years (Birth to 5 years): An Integration of Physical Activity, Sedentary Behaviour, and Sleep 2018 2018 [Available from: http://www.health.gov.au/internet/main/publishing.nsf/content/npra-0-5yrs-brochure.
Matthews CE, Ainsworth BE, Hanby C, Pate RR, Addy C, Freedson PS, et al. Development and testing of a short physical activity recall questionnaire. Med Sci Sports Exerc. 2005;37(6):986–94.
PubMed
Google Scholar
Matthews CE, Keadle SK, Sampson J, Lyden K, Bowles HR, Moore SC, et al. Validation of a previous-day recall measure of active and sedentary behaviors. Med Sci Sports Exerc. 2013;45(8):1629–38.
Article
Google Scholar
Matthews CE, Freedson PS, Hebert JR, Stanek Iii EJ, 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.
Article
CAS
Google Scholar
Matthews CE, Keadle SK, Moore SC, Schoeller DS, Carroll RJ, Troiano RP, et al. Measurement of Active & Sedentary Behavior in Context of Large Epidemiologic Studies. Med Sci Sports Exerc. 2017;50(2):266–76.
Article
Google Scholar
Ainsworth B, Haskell W, Whitt M, Irwin M, AS SS, et al. Compendium of Physical Activities: An Update of Activity Codes and MET Intensities. Med Sci Sports Exerc. 2000;32(9):S498–516.
Article
CAS
Google Scholar
Marshall AL, Miller YD, Burton NW, Brown WJ. Measuring Total and Domain-Specific Sitting: A Study of Reliability and Validity. Med Sci Sports Exerc. 2010;(6):42.
Clark BK, Winkler E, Healy GN, Gardiner PG, Dunstan DW, Owen N, et al. Adults' past-day recall of sedentary time: reliability, validity, and responsiveness. Med Sci Sports Exerc. 2013;45(6):1198–207.
Article
Google Scholar
Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75.
Article
Google Scholar
Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR, Tudor-Locke C, et al. Compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43.
Welk GJ, Beyler NK, Kim Y, Matthews CE. Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior. Med Sci Sports Exerc. 2017;49(7):1473–81.
Article
Google Scholar
Welk GJ, Kim Y, Stanfill B, Osthus DA, Calabro AM, Nusser SM, et al. Validity of 24-h Physical Activity Recall: Physical Activity Measurement Survey. Med Sci Sports Exerc. 2014;46(10):2014–24.
Article
Google Scholar
Ridley K, Olds T, Hill A. The Multimedia activity recall for children and adolescents (MARCA): development and evaluation. Int J Behav Nutr Phys Act. 2006;3(1):10.
Article
Google Scholar
Gomersall SR, Olds TS, Ridley K. Development and evaluation of an adult use-of-time instrument with an energy expenditure focus. J Sci Med Sport. 2011;14(2):143–8.
Article
Google Scholar
Ridley K, Ainsworth BE, Olds TS. Development of a compendium of energy expenditures for youth. Int J Behav Nutr Phys Act. 2008;5:45.
Article
Google Scholar
Foley LS, Maddison R, Rush E, Olds TS, Ridley K, Jiang Y. Doubly labeled water validation of a computerized use-of-time recall in active young people. Metabolism. 2013;62(1):163–9.
Article
CAS
Google Scholar
Kohler S, Behrens G, Olden M, Baumeister SE, Horsch A, Fischer B, et al. Design and Evaluation of a Computer-Based 24-Hour Physical Activity Recall (cpar24) Instrument. J Med Internet Res. 2017;19(5):e186.
Article
Google Scholar
The German National Cohort: aims, study design and organization. Eur J Epidemiol 2014;29(5):371-382.
Juster F. Conceptual and methodological issues involved in the measurement of time use. In: Juster F, editor. Time, Goods, and Well-being. Ann Arbor: University of Michican Press; 1985. p. 19–32.
Google Scholar
Keadle SK, Lyden K, Hickey A, Ray EL, Fowke JH, Freedson PS, 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(1).
Article
Google Scholar
Kim Y, Welk GJ. The accuracy of the 24-h activity recall method for assessing sedentary behaviour: the physical activity measurement survey (PAMS) project. J Sports Sci. 2017;35(3):255–61.
Article
Google Scholar
Bureau of Labor Statistics. American Time Use Survey — Activity Coding Lexicons and Coding Rules Manuals 2016 [Available from: https://www.bls.gov/tus/lexicons.htm.
Gershuny J. Are we running out of time? Futures. 2001;24(1):3–22.
Article
Google Scholar
Gershuny J, Robinson JP. Historical changes in the household division of labor. Demography. 1988;25(4):537–52.
Article
CAS
Google Scholar
Matthews CE, Freedson PS, Hebert JR, Stanek Iii EJ, Merriam PA, Rosal MC, et al. Seasonal variation in household, occupational, and leisure time physical activity: Longitudinal analyses from the seasonal variation of blood cholesterol study. Am J Epidemiol. 2001;153(2):172–83.
Article
CAS
Google Scholar
Johannsen DL, Calabro MA, Stewart J, Franke W, Rood JC, Welk GJ. Accuracy of Armband Monitors for Measuring Daily Energy Expenditure in Healthy Adults. [Miscellaneous Article. Med Sci Sports Exerc. 2010;42(11):2134–40.
Article
Google Scholar
Black A, Coward W, Cole T, Prentice A. Human energy expenditure in affluent societies: an analysis of 574 doubly-labeled water measurements. Eur J Clin Nutr. 1996;50:72–92.
CAS
PubMed
Google Scholar
Gomersall SR, Pavey TG, Clark BK, Jasman A, Brown WJ. Validity of a Self-Report Recall Tool for Estimating Sedentary Behavior in Adults. J Phys Act Health. 2015;12(11):1485–91.
Article
Google Scholar
Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical Activity in the United States Measured by Accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8.
Article
Google Scholar
Colley RC, Garriguet D, Janssen I, Craig CL, Clark J, Tremblay MS. Physical activity of Canadian Adults: Accelerometer results from 2007 to 2009 Canadian Health Measures Survey. Statistics Canada, Catalogue no 82-003-XPE. Health Rep. 2011;22.
Adams SA, Matthews CE, Moore CG, Cunningham JE, Fulton J, Hebert JR. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol. 2005;161(4):389–98.
Article
Google Scholar
Freedson PS, Melonson E, Sirard J. Calibration of Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30.
Matthews C, Keadle S, Berrigan D, Staudenmayer J, Saint-Maurice P, Troiano RP, et al. Influence of accelerometer calibration approach on MVPA estimates for adults. J Phys Act Health. 2018;15(10):S109–S.
Google Scholar
Strath SJ, Bassett DR Jr, Swartz AM. Comparison of MTI accelerometer cut-points for predicting time spent in physical activity. Int J Sports Med. 2003;24(4):298–303.
Article
CAS
Google Scholar
Crouter SE, DellaValle DM, Haas JD, Frongillo EA, Bassett DR. Validity of ActiGraph 2-Regression Model and Matthews and NHANES and Cut-Points for Assessing Free-Living Physical Activity. J Phys Act Health. 2013;10(4):504–14.
Article
Google Scholar
van der Ploeg HP, Merom D, Chau JY, Bittman M, Trost SG, Bauman AE. Advances in Population Surveillance for Physical Activity and Sedentary Behavior: Reliability and Validity of Time Use Surveys. Am J Epidemiol. 2010;172(10):1199–206.
Article
Google Scholar
Kelly P, Thomas E, Doherty A, Harms T, Burke Ó, Gershuny J, et al. Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot. PLoS One. 2015;10(12):e0142198.
Article
Google Scholar
Eurostat. Harmonised European time use surveys Luxembourg: European Union; 2008 [Available from: https://ec.europa.eu/eurostat/documents/3859598/5909673/KS-RA-08-014-EN.PDF/a745ca2e-7dc6-48a9-a36c-000ad120380e?version=1.0.
Google Scholar