Correlates of Agreement between Accelerometry and Self-reported Physical Activity

. 2016 Jun ; 48 (6) : 1075-84.

Jazyk angličtina Země Spojené státy americké Médium print

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid26784274

Grantová podpora
R01 CA127296 NCI NIH HHS - United States
R01 HL067350 NHLBI NIH HHS - United States
Medical Research Council - United Kingdom

PURPOSE: Understanding factors that influence accurate assessment of physical activity (PA) and sedentary behavior (SB) is important to measurement development, epidemiologic studies, and interventions. This study examined agreement between self-reported (International Physical Activity Questionnaire-Long Form [IPAQ-LF]) and accelerometry-based estimates of PA and SB across six countries and identified correlates of between-method agreement. METHODS: Self-report and objective (accelerometry-based) PA and SB data were collected in 2002-2011 from 3865 adult participants in eight cities from six countries (Belgium, Czech Republic, Denmark, Spain, United Kingdom, and United States). Between-method relative agreement (correlation) and absolute disagreement (mean difference between conceptually and intensity-matched IPAQ-LF and accelerometry-based PA and SB variables) were estimated. Also, sociodemographic characteristics and PA patterns were examined as correlates of between-method agreement. RESULTS: Observed relative agreement (relationships of IPAQ-LF with accelerometry-based PA and SB variables) was small to moderate (r = 0.05-0.37) and was moderated by sociodemographic (age, sex, weight status, and education) and behavioral (PA-type) factors. The absolute disagreement was large, with participants self-reporting higher PA intensity and total time in moderate-to-vigorous-intensity PA than accelerometry. Also, self-reported sitting time was lower than accelerometry-based sedentary behavior. After adjusting for sociodemographic and behavioral factors, the absolute disagreement between pairs of IPAQ-LF and accelerometry-based PA variables remained significantly different across cities/countries. CONCLUSIONS: Present findings suggest systematic cultural and/or linguistic and sociodemographic differences in absolute agreement between the IPAQ-LF and the accelerometry-based PA and SB variables. These results have implications for the interpretation of international PA and SB data and correlate/determinant studies. They call for further efforts to improve such measures.

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Bauman A, Ainsworth BE, Sallis JF, et al. The descriptive epidemiology of sitting: a 20 country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med. 2011; 41(2): 228– 37. PubMed

Bauman A, Bull FC, Craig CL, et al. The International Prevalence Study on Physical Activity: results from 20 countries. Int J Behav Nutr Phys Act. 2009; 6: 21. PubMed PMC

Boon RM, Hamlin MJ, Steel GD, Ross JJ. Validation of the New Zealand Physical Activity Questionnaire (NZPAQ-LF) and the International Physical Activity Questionnaire (IPAQ-LF) with accelerometry. Br J Sports Med. 2010; 44(10): 741– 6. PubMed

Cain K, Conway TL, Adams MA, Husak LE, Sallis JF. Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and low frequency extension. Int J Behav Nutr Phys Act. 2013; 10: 51. PubMed PMC

Cerin E, Barnett A, Cheung MC, Sit C HP, Macfarlane DJ, Chan WM. Reliability and validity of the IPAQ-L in a sample of Hong Kong urban older adults: does neighborhood of residence matter? J Aging Phys Act. 2012; 20(4): 402– 20. PubMed

Cerin E, Cain KL, Conway TL, et al. Neighborhood environments and objectively measured physical activity in 11 countries. Med Sci Sports Exerc. 2014; 46(12): 2253– 64. PubMed PMC

Chastin SF, Culhane B, Dall M. Comparison of self-reported measure of sitting time (IPAQ) with objective measurement (activPAL). Physiol Meas. 2014; 35: 2319– 28. PubMed

Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed Hillsdale (NJ): Lawrence Erlbaum; 1988. p. 590.

Craig CL, Marshall AL, Sjöström M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003; 35(8): 1381– 95. PubMed

De Bourdeaudhuij I, Van Dyck D, Salvo D, et al. International study of perceived neighbourhood environmental attributes and body mass index: IPEN adult study in 12 countries. Int J Behav Nutr Phys Act. 2015; 12: 62. PubMed PMC

Dishman RK, Washburn RA, Schoeller DA. Measurement of physical activity. Quest. 2001; 53(3): 295– 309.

Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014; 46(1): 99– 106. PubMed

Ekelund U, Sepp H, Brage S, et al. Criterion-related validity of the last 7-day, short form of the International Physical Activity Questionnaire in Swedish adults. Public Health Nutr. 2006; 9(2): 258– 65. PubMed

Fox J, Weisberg S. An R Companion to Applied Regression. 2nd ed Thousand Oaks (CA): Sage; 2011. p. 450.

Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998; 30(5): 777– 81. PubMed

Freedson PS, Miller K. Objective monitoring of physical activity using motion sensors and heart rate. Res Q Exerc Sport. 2000; 71(2 Suppl): 21S– 9. PubMed

Garriguet D, Tremblay S, Colley RC. Comparison of Physical Activity Adult Questionnaire results with accelerometer data. Health Rep. 2015; 26(7): 11– 7. PubMed

Hallal PC, Andersen LB, Bull FC, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012; 380(9838): 247– 57. PubMed

Herman Hansen B, Børtnes I, Hildebrand M, Holme I, Kolle E, Anderssen SA. Validity of the ActiGraph GT1M during walking and cycling. J Sports Sci. 2014; 32(6): 510– 6. PubMed

Kerr J, Sallis JF, Owen N, et al. Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. J Phys Act Health. 2013; 10(4): 581– 601. PubMed

Kim Y, Park I, Kang M. Convergent validity of the international physical activity questionnaire (IPAQ): meta-analysis. Public Health Nutr. 2013; 16(3): 440– 52. PubMed PMC

Lee PH, Yu YY, McDowell I, Leung GM, Lam TH, Stewart SM. Performance of the International Physical Activity Questionnaire (short form) in subgroups of the Hong Kong Chinese population. Int J Behav Nutr Phys Act. 2011; 8: 81. PubMed PMC

Macfarlane D, Chan A, Cerin E. Examining the validity and reliability of the Chinese version of the International Physical Activity Questionnaire, Long Form (IPAQ-LC). Public Health Nutr. 2011; 14(3): 443– 50. PubMed

Mâsse LC. Reliability, validity, and methodological issues in assessing physical activity in a cross-cultural setting. Res Q Exerc Sport. 2000; 71(2 Suppl): 54S– 8. PubMed

Matthews CE, Chen KY, Freedson PS, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008; 167(7): 875– 81. PubMed PMC

McAdams MA, Van Dam RM, Hu FB. Comparison of self-reported and measured BMI as correlates of disease markers in US adults. Obesity. 2007; 15(1): 188– 96. PubMed

Nang EE, Gitau Ngunjiri SA, Wu Y, et al. Validity of the International Physical Activity Questionnaire and the Singapore Prospective Study Program physical activity questionnaire in a multiethnic urban Asian population. BMC Med Res Methodol. 2011; 11: 141. PubMed PMC

Pedišić Ž, Bauman A. Accelerometer-based measures in physical activity surveillance: current practices and issues. Br J Sports Med. 2015; 49(4): 219– 23. PubMed

Plasqui G, Bonomi AG, Westerterp KR. Daily physical activity assessment with accelerometers: new insights and validation studies. Obes Rev. 2013; 14(6): 451– 62. PubMed

R Core Team. R: A language and environment for statistical computing. Vienna (Austria): R Foundation for Statistical Computing; [cited 2015 Jun 8]. Available from: http://www.R-project.org/.

Sasaki JE, John D, Freedson PS. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport. 2011; 14: 411– 6. PubMed

Scholes S, Coombs N, Pedisic Z, et al. Age- and sex-specific criterion validity of the health survey for England Physical Activity and Sedentary Behavior Assessment Questionnaire as compared with accelerometry. Am J Epidemiol. 2014; 179(12): 1493– 502. PubMed PMC

Steene-Johannessen J, Anderssen SA, van der Ploeg HP, et al. Are self-report measures able to define individuals as physically active or inactive? Med Sci Sports Exerc. 2016; 48(2): 235– 44. PubMed PMC

Terwee CB, Mokkink LB, van Poppel MN, Chinapaw MJ, van Mechelen W, de Vet HC. Qualitative attributes and measurement properties of physical activity questionnaires: a checklist. Sports Med. 2010; 40(7): 525– 37. PubMed

Troiano RP. Translating accelerometer counts into energy expenditure: advancing the quest. J Appl Physiol. 2006; 100(4): 1107– 8. PubMed

Tudor-Locke C, Camhi SM, Troiano RP. A catalog of rules, variables and definitions applied to accelerometry data in the National Health and Nutrition Examination Survey 2003–2006. Prev Chronic Dis. 2012; 9: E113. PubMed PMC

Vandelanotte C, De Bourdeaudhuij I, Philippaerts RM, Sjöström M, Sallis JF. Reliability and validity of a computerized and Dutch version of the International Physical Activity Questionnaire (IPAQ). J Phys Act Health. 2005; 2(1): 63– 75.

Vuillemin A, Oppert J, Guillemin F, et al. Self-administered questionnaire compared with interview to assess past-year physical activity. Med Sci Sports Exerc. 2000; 32(6): 1119– 24. PubMed

Wolin KY, Heil DP, Askew S, Matthews CE, Bennett GG. Validation of the International Physical Activity Questionnaire-Short among Blacks. J Phys Act Health. 2008; 5(5): 746– 60. PubMed PMC

Wood S. Generalized Additive Models: An Introduction with R. Boca Raton (FL): Chapman and Hall; 2006. p. 392.

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