Development and testing of a past year measure of sedentary behavior: the SIT-Q

Brigid M Lynch, Christine M Friedenreich, Farah Khandwala, Andrew Liu, Joshua Nicholas, Ilona Csizmadi, Brigid M Lynch, Christine M Friedenreich, Farah Khandwala, Andrew Liu, Joshua Nicholas, Ilona Csizmadi

Abstract

Background: Most sedentary behavior measures focus on occupational or leisure-time sitting. Our aim was to develop a comprehensive measure of adult sedentary behavior and establish its measurement properties.

Method: The SIT-Q was developed through expert review (n = 7), cognitive interviewing (n = 11) and pilot testing (n = 34). A convenience sample of 82 adults from Calgary, Alberta, Canada, participated in the measurement property study. Test-retest reliability was assessed by intraclass correlation coefficients (ICCs) comparing two administrations of the SIT-Q conducted one month apart. Convergent validity was established using Spearman's rho, by comparing the SIT-Q estimates of sedentary behaviour with values derived from a 7-Day Activity Diary.

Results: The SIT-Q exhibited good face validity and acceptability during pilot testing. Within the measurement property study, the ICCs for test-retest reliability ranged from 0.31 for leisure-time computer use to 0.86 for occupational sitting. Total daily sitting demonstrated substantial correlation (ICC = 0.65, 95% CI: 0.49, 0.78). In terms of convergent validity, correlations varied from 0.19 for sitting during meals to 0.76 for occupational sitting. For total daily sitting, estimates derived from the SIT-Q and 7 Day Activity Diaries were moderately correlated (ρ = 0.53, p < 0.01).

Conclusion: The SIT-Q has acceptable measurement properties for use in epidemiologic studies.

Figures

Figure 1
Figure 1
Data collection protocol.
Figure 2
Figure 2
Bland-Altman plots for test-retest reliability and convergent validity of the SIT-Q. A. Bland-Altman plots of total sitting time (h/day) estimated by the SIT-Q during two administrations, one month apart, with means (solid lines) and limits of agreement (dashed lines). B. Bland-Altman plot of total sitting time (h/day) estimated by the first administration of the SIT-Q and the 7-Day Activity Diary.

References

    1. Dunstan DW, Barr ELM, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) Circulation. 2010;121:384–391. doi: 10.1161/CIRCULATIONAHA.109.894824.
    1. 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. doi: 10.3945/ajcn.111.019620.
    1. Patel AV, Bernstein L, Deka A, Feigelson HS, Campbell PT, Gapstur SM, Colditz GA, Thun MJ. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am J Epidemiol. 2010;172(4):419–429. doi: 10.1093/aje/kwq155.
    1. Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, Wareham NJ, Ekelund U. Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. Int J Epidemiol. 2011;40(1):150–159. doi: 10.1093/ije/dyq105.
    1. Grontved A, Hu FB. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA. 2011;305(23):2448–2455. doi: 10.1001/jama.2011.812.
    1. Stamatakis E, Hamer M, Dunstan DW. Screen-based entertainment time, all-cause mortality, and cardiovascular events: population-based study with ongoing mortality and hospital events follow-up. J Am Coll Cardiol. 2011;57(3):292–299. doi: 10.1016/j.jacc.2010.05.065.
    1. Hu FB, Leitzmann MF, Stampfer MJ, Colditz GA, Willett WC, Rimm EB. Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med. 2001;161(12):1542–1548. doi: 10.1001/archinte.161.12.1542.
    1. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. J Am Med Assoc. 2003;289(14):1785–1791. doi: 10.1001/jama.289.14.1785.
    1. Lynch BM. Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 2010;19(11):2691–2709. doi: 10.1158/1055-9965.EPI-10-0815.
    1. Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007;56(11):2655–2667. doi: 10.2337/db07-0882.
    1. Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105–113. doi: 10.1097/JES.0b013e3181e373a2.
    1. Baecke JAH, Burema J, Frijters JER. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36:936–942.
    1. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37:197–206. doi: 10.1136/bjsm.37.3.197.
    1. Lagerros YT, Lagiou P. Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol. 2007;22:353–362. doi: 10.1007/s10654-007-9154-x.
    1. Sesso HD. Invited commentary: a challenge for physical activity epidemiology. Am J Epidemiol. 2007;165(12):1354–1355. doi: 10.1093/aje/kwm093.
    1. Matthews C, Moore S, George S, Sampson J, Bowles H. Improving self-reports of active and sedentary behaviors in large epidemiologic studies. Exerc Sport Sci Rev. 2012;40(3):118–126.
    1. Clark BK, Thorp AA, Winkler EAH, Gardiner PA, Healy GN, Owen N, Dunstan DW. Validity of self-reported measures of workplace sitting time and breaks in sitting time. Med Sci Sports Exerc. 2011;43(10):1907–1912.
    1. 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(6):1094–1102.
    1. Rosenberg DE, Norman GJ, Wagner N, Patrick K, Calgas KF, Sallis JF. Reliability and validity of the Sedentary Behavior Questionnaires (SBQ) for adults. J Phys Activ Health. 2010;7:697–705.
    1. Salmon J, Owen N, Crawford D, Bauman A, Sallis JF. Physical activity and sedentary behavior: population-based study of barriers, enjoyment, and preference. Health Psychol. 2003;22:178–188. doi: 10.1037/0278-6133.22.2.178.
    1. Chau JY, Van Der Ploeg HP, Dunn S, Kurko J, Bauman AE. Validity of the occupational sitting and physical activity questionnaire. Med Sci Sports Exerc. 2012;44(1):118–125. doi: 10.1249/MSS.0b013e3182251060.
    1. Rosenberg DE, Bull FC, Marshall AL, Sallis JF, Bauman AE. Assessment of sedentary behavior with the International Physical Activity Questionnaire. J Phys Activ Health. 2008;5(Suppl 1):S30–S44.
    1. Healy GN, Clark BK, Winkler EAH, Gardiner PA, Brown WJ, Matthews CE. Measurement of adults’ sedentary time in population-based studies. Am J Prev Med. 2011;41(2):216–227. doi: 10.1016/j.amepre.2011.05.005.
    1. Clark BK, Sugiyama T, Healy GN, Salmon J, Dunstan DW, Owen N. Validity and reliability of measures of television viewing time and other non-occupational sedentary behaviour of adults: a review. Obes Rev. 2009;10(1):7–16. doi: 10.1111/j.1467-789X.2008.00508.x.
    1. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, Jacobs DR, Jr, Leon AS. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9):S498–S516. doi: 10.1097/00005768-200009001-00009.
    1. U.S. Census Bureau . American Time Use Survey User’s Guide. 2014.
    1. Csizmadi I, Neilson HK, Kopcuik KA, Khandwala F, Liu A, Friedenreich CM, Yasui Y, Rabasa-Lhoret R, Bryant HE, Lau DC, Robson PJ. The Sedentary Time and Activity Reporting Questionnaire (STAR-Q): reliability and validity against doubly labeled water and 7-day activity diaries. Am J Epidemiol. 2014;180(4):424–435. doi: 10.1093/aje/kwu150.
    1. Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, Shaw JE, Bertovic DA, Zimmet PZ, Salmon J, Owen N. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012;35:976–983. doi: 10.2337/dc11-1931.
    1. Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, Owen N. Breaks in sedentary time - beneficial associations with metabolic risk. Diabetes Care. 2008;31(4):661–666. doi: 10.2337/dc07-2046.
    1. Altschuler A, Picchi T, Nelson M, Rogers JD, Hart J, Sternfeld B. Physical activity questionnaire comprehension: lessons from cognitive interviews. Med Sci Sports Exerc. 2009;41(2):336–343. doi: 10.1249/MSS.0b013e318186b1b1.
    1. Willis GB. Cognitive Interviewing: A Tool for Improving Quesitonnaire Design. Thousand Oaks, CA: Sage Publications; 2005.
    1. Conway J, Seale J, Jacobs DJ, Irwin M, Ainsworth B. Comparison of energy expenditure estimates from doubly labeled water, a physical activity questionnaire, and physical activity records. Am J Clin Nutr. 2002;75:519–525.
    1. Lynch B, Youlden D, Fritschi L, Newman B, Pakenham K, Leggett B, Owen N, Aitken JF. Self-reported information on the diagnosis of colorectal cancer was reliable but not necessarily valid. J Clin Epidemiol. 2008;61:498–504. doi: 10.1016/j.jclinepi.2007.05.018.
    1. Bland J, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;i:307–310. doi: 10.1016/S0140-6736(86)90837-8.
    1. Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull. 1968;70:213–230. doi: 10.1037/h0026256.
    1. Landis J, Koch G. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–174. doi: 10.2307/2529310.
    1. Pett M. Nonparametric Statistics in Health Care Research: Statistics for Small Samples and Unusual Distributions. Thousand Oaks, CA: Sage Publications; 1997.
    1. Gardiner PA, Clark BK, Healy GN, Eakin EG, Winkler EA, Owen N. Measuring older adults’ sedentary time: reliability, validity, and responsiveness. Med Sci Sports Exerc. 2011;43(11):2127–2133. doi: 10.1249/MSS.0b013e31821b94f7.
    1. Gardiner PA, Eakin EG, Healy GN, Owen N. Feasibility of reducing older adults’ sedentary time. Am J Prev Med. 2011;41(2):174–177. doi: 10.1016/j.amepre.2011.03.020.
Pre-publication history
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