Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation

International Journal of Behavioral Nutrition and Physical Activity

Charles E Matthews⁵  Patty S Freedson²  Jay H Fowke⁴  Evan L Ray¹  Amanda Hickey²  Kate Lyden⁶  Sarah Kozey Keadle³ 

[1] Department of Math and Statistics, University of Massachusetts, Amherst, MA 01003, USA;Department of Kinesiology, University of Massachusetts, Amherst, MA 01003, USA;Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA;Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA;Nutritional Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA;Division of Endocrinology, Metabolism and Diabetes, University of Colorado Denver Aurora, Aurora, CO 80045, USA

关键词: Behavioral epidemiology;    Physical activity;    Exposure measurement;   

Others  :  805506
DOI  :  10.1186/1479-5868-11-12

 received in 2013-09-07, accepted in 2014-01-21,  发布年份 2014

【 摘 要 】

Purpose

Gathering contextual information (i.e., location and purpose) about active and sedentary behaviors is an advantage of self-report tools such as previous day recalls (PDR). However, the validity of PDR’s for measuring context has not been empirically tested. The purpose of this paper was to compare PDR estimates of location and purpose to direct observation (DO).

Methods

Fifteen adult (18–75 y) and 15 adolescent (12–17 y) participants were directly observed during at least one segment of the day (i.e., morning, afternoon or evening). Participants completed their normal daily routine while trained observers recorded the location (i.e., home, community, work/school), purpose (e.g., leisure, transportation) and whether the behavior was sedentary or active. The day following the observation, participants completed an unannounced PDR. Estimates of time in each context were compared between PDR and DO. Intra-class correlations (ICC), percent agreement and Kappa statistics were calculated.

Results

For adults, percent agreement was 85% or greater for each location and ICC values ranged from 0.71 to 0.96. The PDR-reported purpose of adults’ behaviors were highly correlated with DO for household activities and work (ICCs of 0.84 and 0.88, respectively). Transportation was not significantly correlated with DO (ICC = -0.08). For adolescents, reported classification of activity location was 80.8% or greater. The ICCs for purpose of adolescents’ behaviors ranged from 0.46 to 0.78. Participants were most accurate in classifying the location and purpose of the behaviors in which they spent the most time.

Conclusions

This study suggests that adults and adolescents can accurately report where and why they spend time in behaviors using a PDR. This information on behavioral context is essential for translating the evidence for specific behavior-disease associations to health interventions and public policy.

【 授权许可】

   
2014 Keadle et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]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, 40:181-188.
• [2]Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP: Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol 2008, 167:875-881.
• [3]United States Department of Health and Human Services 2008. http://www.health.gov/paguidelines/report webcite
• [4]Matthews CE, George SM, Moore SC, Bowles HR, Blair A, Park Y, Troiano RP, Hollenbeck A, Schatzkin A: Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr 2012, 95:437-445.
• [5]Thorp AA, Owen N, Neuhaus M, Dunstan DW: Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996–2011. Am J Prev Med 2011, 41:207-215.
• [6]Kohl HW 3rd, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, Kahlmeier S, Lancet Physical Activity Series Working G: The pandemic of physical inactivity: global action for public health. Lancet 2012, 380:294-305.
• [7]Levitis DA, Lidicker WZ, Freund G: Behavioural biologists don’t agree on what constitutes behaviour. Anim Behav 2009, 78:103-110.
• [8]Owen N: Sedentary behavior: understanding and influencing adults’ prolonged sitting time. Prev Med 2012, 55:535-539.
• [9]Owen N, Leslie E, Salmon J, Fotheringham MJ: Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev 2000, 28:153-158.
• [10]Conroy DE, Maher JP, Elavsky S, Hyde AL, Doerksen SE: Sedentary behavior as a daily process regulated by habits and intentions. Health Psychol 2013, 32:1149-1157.
• [11]Doherty AR, Hodges SE, King AC, Smeaton AF, Berry E, Moulin CJ, Lindley S, Kelly P, Foster C: Wearable cameras in health: the state of the art and future possibilities. Am J Prev Med 2013, 44:320-323.
• [12]Doherty AR, Kelly P, Kerr J, Marshall S, Oliver M, Badland H, Hamilton A, Foster C: Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity. Int J Behav Nutr Phys Act 2013, 10:22. BioMed Central Full Text
• [13]Dunton GF, Atienza AA, Castro CM, King AC: Using ecological momentary assessment to examine antecedents and correlates of physical activity bouts in adults age 50+ years: a pilot study. Ann Behav Med 2009, 38:249-255.
• [14]Dunton GF, Whalen CK, Jamner LD, Floro JN: Mapping the social and physical contexts of physical activity across adolescence using ecological momentary assessment. Ann Behav Med 2007, 34:144-153.
• [15]Matthews CE, Keadle SK, Sampson J, Lyden K, Bowles HR, Moore SC, Libertine A, Freedson PS, Fowke JH: Validation of a previous-day recall measure of active and sedentary behaviors. Med Sci Sports Exerc 2013, 45:1629-1638.
• [16]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, 40:118-126.
• [17]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, 14:143-148.
• [18]Ridley K, Olds TS, Hill A: The Multimedia Activity Recall for Children and Adolescents (MARCA): development and evaluation. Int J Behav Nutr Phys Act 2006, 3:10. BioMed Central Full Text
• [19]Nusser SM, Beyler NK, Welk GJ, Carriquiry AL, Fuller WA, King BM: Modeling errors in physical activity recall data. J Phys Act Health 2012, 9(Suppl 1):S56-S67.
• [20]Lyden K, Petruski N, Mix S, Staudenmayer J, Freedson P: Direct observation is a valid criterion for estimating physical activity and sedentary behavior. J Phys Act Health 2013. [Epud ahead of print]
• [21]Bureau of Labor and Statisitics: American Time Use Survey. http://www.bls.gov/tus/ webcite
• [22]Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, Greer JL, Vezina J, Whitt-Glover MC, Leon AS: Compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc 2011, 43:1575-1581.
• [23]Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS: Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc 2011, 43:1561-1567.
• [24]Sedentary Behaviour Research Network: Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab 2012, 37:540-542.
• [25]Calabro MA, Welk GJ, Carriquiry AL, Nusser SM, Beyler NK, Mathews CE: Validation of a computerized 24-hour physical activity recall (24PAR) instrument with pattern-recognition activity monitors. J Phys Act Health 2009, 6:211-220.
• [26]Ockene IS, Chiriboga DE, Stanek EJ 3rd, Harmatz MG, Nicolosi R, Saperia G, Well AD, Freedson P, Merriam PA, Reed G, et al.: Seasonal variation in serum cholesterol levels: treatment implications and possible mechanisms. Arch Intern Med 2004, 164:863-870.
• [27]Sallis JF: A collection of physical activity questionnaires for health-related research. Med Sci Sports Exerc 1997, 29:S1-S205.
• [28]Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977, 33:159-174.
• [29]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, 42:1094-1102.
• [30]Friedenreich CM, Courneya KS, Neilson HK, Matthews CE, Willis G, Irwin M, Troiano R, Ballard-Barbash R: Reliability and validity of the past year total physical activity questionnaire. Am J Epidemiol 2006, 163:959-970.
• [31]Helmerhorst HJ, Brage S, Warren J, Besson H, Ekelund U: A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act 2012, 9:103. BioMed Central Full Text
• [32]Shephard RJ: Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med 2003, 37:197-206. discussion 206
• [33]Thornton LE, Pearce JR, Kavanagh AM: Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary. Int J Behav Nutr Phys Act 2011, 8:71. BioMed Central Full Text
• [34]Troped PJ, Oliveira MS, Matthews CE, Cromley EK, Melly SJ, Craig BA: Prediction of activity mode with global positioning system and accelerometer data. Med Sci Sports Exerc 2008, 40:972-978.
• [35]Troped PJ, Wilson JS, Matthews CE, Cromley EK, Melly SJ: The built environment and location-based physical activity. Am J Prev Med 2010, 38:429-438.
• [36]Doherty AR, Moulin CJ, Smeaton AF: Automatically assisting human memory: a SenseCam browser. Memory 2011, 19:785-795.
• [37]Kerr J, Marshall SJ, Godbole S, Chen J, Legge A, Doherty AR, Kelly P, Oliver M, Badland HM, Foster C: Using the SenseCam to improve classifications of sedentary behavior in free-living settings. Am J Prev Med 2013, 44:290-296.
• [38]Kelly P, Marshall SJ, Badland H, Kerr J, Oliver M, Doherty AR, Foster C: An ethical framework for automated, wearable cameras in health behavior research. Am J Prev Med 2013, 44:314-319.
• [39]Dunton GF, Intille SS, Wolch J, Pentz MA: Children’s perceptions of physical activity environments captured through ecological momentary assessment: a validation study. Prev Med 2012, 55:119-121.
• [40]Dunton GF, Whalen CK, Jamner LD, Henker B, Floro JN: Using ecologic momentary assessment to measure physical activity during adolescence. Am J Prev Med 2005, 29:281-287.
• [41]Heath GW, Parra DC, Sarmiento OL, Andersen LB, Owen N, Goenka S, Montes F, Brownson RC, Lancet Physical Activity Series Working G: Evidence-based intervention in physical activity: lessons from around the world. Lancet 2012, 380:272-281.
• [42]Tudor-Locke C, Johnson WD, Katzmarzyk PT: Frequently reported activities by intensity for U.S. adults: the American Time Use Survey. Am J Prev Med 2010, 39:e13-e20.