The sedentary time and activity reporting questionnaire (STAR-Q): Reliability and validity against doubly labeled water and 7-day activity diaries

American Journal of Epidemiology

Volumn 180, Issue 4, 2014, Pages 424-435

  Csizmadi, Ilona ^a,b   Neilson, Heather K ^a   Kopciuk, Karen A ^a,b   Khandwala, Farah ^a   Liu, Andrew ^a   Friedenreich, Christine M ^a,b   Yasui, Yutaka ^c   Rabasa Lhoret, Rémi ^d   Bryant, Heather E ^b,e   Lau, David C W ^b   Robson, Paula J ^c,f  

^a Richmond Road Diagnostic and Treatment Centre ^*  (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

^d CLIN RESEARCH INSTITUTE OF MONTREAL   (Canada)

^e Canadian Partnership Against Cancer   (Canada)

^f ALBERTA HEALTH SERVICES   (Canada)

Author keywords

Motor activity; Physical activity; Questionnaires; Reproducibility of results; Sedentary lifestyle; Validation studies

Indexed keywords

LIFESTYLE; MODEL VALIDATION; OCCUPATIONAL EXPOSURE; QUESTIONNAIRE SURVEY; SPATIOTEMPORAL ANALYSIS;

ADULT; ARTICLE; BODY MASS; BODY WEIGHT; CLIMBING; CORRELATION COEFFICIENT; ENERGY EXPENDITURE; HUMAN; LEISURE; MAJOR CLINICAL STUDY; OCCUPATION; PHYSICAL ACTIVITY; PROSPECTIVE STUDY; QUESTIONNAIRE; READING; RELIABILITY; RESTING METABOLIC RATE; SEASON; SEDENTARY LIFESTYLE; SEDENTARY TIME AND ACTIVITY REPORTING QUESTIONNAIRE; SITTING; SLEEP; TELEVISION VIEWING; VALIDITY; WAKEFULNESS; BASAL METABOLIC RATE; CANADA; DIET; ENERGY METABOLISM; EPIDEMIOLOGY; FEMALE; MALE; MEDICAL RECORD; METABOLISM; MIDDLE AGED; MOTOR ACTIVITY; REPRODUCIBILITY; STANDARDS; STATISTICS AND NUMERICAL DATA;

ALBERTA; CANADA;

DEUTERIUM; OXYGEN; WATER;

ADULT; ALBERTA; BASAL METABOLISM; BODY MASS INDEX; DEUTERIUM; DIET; ENERGY METABOLISM; FEMALE; HUMANS; MALE; MEDICAL RECORDS; MIDDLE AGED; MOTOR ACTIVITY; OXYGEN ISOTOPES; REPRODUCIBILITY OF RESULTS; SEDENTARY LIFESTYLE; SURVEYS AND QUESTIONNAIRES; WATER;

EID: 84907012726     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwu150     Document Type: Article

References (35)

1. Warren JM, Ekelund U, Besson H, et al. Assessment of physical activity-A review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil. 2010;17(2): 127-139.
2. Atkin AJ, Gorely T, Clemes SA, et al. Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012; 41(5): 1460-1471.
3. Neilson HK, Robson PJ, Friedenreich CM, et al. Estimating activity energy expenditure: how valid are physical activity questionnaires? Am J Clin Nutr. 2008;87(2): 279-291.
4. Troiano RP, Pettee Gabriel KK, Welk GJ, et al. Reported physical activity and sedentary behavior: why do you ask? J Phys Act Health. 2012;9(suppl 1): S68-S75.
5. Sesso HD. Invited commentary: a challenge for physical activity epidemiology. Am J Epidemiol. 2007;165(12): 1351-1353.
6. Neilson HK, Ullman R, Robson PJ, et al. Cognitive testing of the STAR-Q: insights in activity and sedentary time reporting. J Phys Act Health. 2013;10(3): 379-389.
7. Bryant H, Robson PJ, Ullman R, et al. Population-based cohort development in Alberta, Canada: a feasibility study. Chronic Dis Can. 2006;27(2): 51-59.
8. Ainsworth BE, Haskell WL, Leon AS, et al. Compendium of Physical Activities: classification of energy costs of human physical activities. Med Sci Sports Exerc. 1993;25(1): 71-80.
9. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of Physical Activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 suppl): S498-S504.
10. Westerterp KR. Physical activity as determinant of daily energy expenditure. Physiol Behav. 2008;93(4-5): 1039-1043.
11. 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): 1575-1581.
12. Conway JM, Seale JL, Jacobs DR Jr, et al. Comparison of energy expenditure estimates from doubly labeled water, a physical activity questionnaire, and physical activity records. Am J Clin Nutr. 2002;75(3): 519-525.
13. Douketis JD. Body weight classification. CMAJ. 2005;172(10): 1274-1275.
14. Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985; 39(suppl 1): 5-41.
15. Csizmadi I, Kahle L, Ullman R, et al. Adaptation and evaluation of the National Cancer Institute's Diet History Questionnaire and nutrient database for Canadian populations. Public Health Nutr. 2007;10(1): 88-96.
16. Racette SB, Schoeller DA, Luke AH, et al. Relative dilution spaces of 2H-And 18O-labeled water in humans. Am J Physiol. 1994;267(4): E585-E590.
17. McGraw KO, Wong SP. Forming inferences about some intraclass correlation coefficients. Psychol Methods. 1996;1(1): 30-46.
18. Carrasco JL, Jover L. Estimating the generalized concordance correlation coefficient through variance components. Biometrics. 2003;59(4): 849-858.
19. Ferrari P, Friedenreich C, Matthews CE. The role of measurement error in estimating levels of physical activity. Am J Epidemiol. 2007;166(7): 832-840.
20. Neuhouser ML, Di C, Tinker LF, et al. Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI. Am J Epidemiol. 2013;177(6): 576-585.
21. Tooze JA, Troiano RP, Carroll RJ, et al. A measurement error model for physical activity level as measured by a questionnaire with application to the 1999-2006 NHANES questionnaire. Am J Epidemiol. 2013;177(11): 1199-1208.
22. Newman MA, Pettee KK, Storti KL, et al. Monthly variation in physical activity levels in postmenopausal women. Med Sci Sports Exerc. 2009;41(2): 322-327.
23. Matthews CE, Freedson PS, Hebert JR, 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): 172-183.
24. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476): 307-310.
25. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res. 1999;8(2): 135-160.
26. Bonett DG. Sample size requirements for estimating intraclass correlations with desired precision. Stat Med. 2002;21(9): 1331-1335.
27. SAS Institute, Inc. SAS/STAT Software: SAS System for PC, Version 9.2. Cary, NC: SAS Institute, Inc.; 2008.
28. R Core Team. R: A Language and Environment for Statistical Computing, Version 2.12. Vienna, Austria: R Foundation for Statistical Computing; 2012.
29. Food and Nutrition Board, Institute of Medicine. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients). Washington, DC: National Academies Press; 2002.
30. Besson H, Brage S, Jakes RW, et al. Estimating physical activity energy expenditure, sedentary time, and physical activity intensity by self-report in adults. Am J Clin Nutr. 2010; 91(1): 106-114.
31. Helmerhorst HJ, Brage S, Warren J, et al. A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act. 2012;9: 103.
32. Mâsse LC, Fulton JE, Watson KB, et al. Comparing the validity of 2 physical activity questionnaire formats in African-American and Hispanic women. J Phys Act Health. 2012;9(2): 237-248.
33. Mâsse LC, Fulton JE, Watson KL, et al. Influence of body composition on physical activity validation studies using doubly labeled water. J Appl Physiol. 2004;96(4): 1357-1364.
34. Feinglass J, Lee J, Semanik P, et al. The effects of daily weather on accelerometer-measured physical activity. J Phys Act Health. 2011;8(7): 934-943.
35. de Vet HC, Terwee CB, Knol DL, et al. When to use agreement versus reliability measures. J Clin Epidemiol. 2006;59(10): 1033-1039.