1. Cooper, AJ, Brage, S, Ekelund, U, Wareham, NJ, Griffin, SJ, Simmons, RK. Association between objectively assessed sedentary time and physical activity with metabolic risk factors among people with recently diagnosed type 2 diabetes. Diabetologia. 2014;57:73-82.
Google Scholar | Crossref | Medline | ISI2. 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;56:2655-2667.
Google Scholar | Crossref | Medline | ISI3. Cooper, AR, Sebire, S, Montgomery, AA, et al. Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes. Diabetologia. 2012;55:589-599.
Google Scholar | Crossref | Medline | ISI4. de Rooij, BH, van der Berg, JD, van der Kallen, CJ, et al. Physical activity and sedentary behavior in metabolically healthy versus unhealthy obese and non-obese individuals – the Maastricht study. PLoS One. 2016;11:e0154358.
Google Scholar | Crossref5. Centers for Disease Control and Prevention . National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. U.S. Department of Health and Human Services; 2014.
Google Scholar6. Perkisas, S, Vandewoude, M. Where frailty meets diabetes. Diabetes Metab Res Rev. 2016;32:261-267.
Google Scholar | Crossref | Medline7. Owen, N, Sparling, PB, Healy, GN, Dunstan, DW, Matthews, CE. Sedentary behavior: emerging evidence for a new health risk. Mayo Clin Proc. 2010;85:1138-1141.
Google Scholar | Crossref | Medline | ISI8. 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.
Google Scholar | Crossref | Medline | ISI9. Eckel, RH, Jakicic, JM, Ard, JD, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol. 2014;63:2960-2984.
Google Scholar | Crossref | Medline | ISI10. Duvivier, BM, Schaper, NC, Bremers, MA, et al. Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One. 2013;8:e55542.
Google Scholar | Crossref | Medline | ISI11. Schuna, JM, Johnson, WD, Tudor-Locke, C. Adult self-reported and objectively monitored physical activity and sedentary behavior: NHANES 2005–2006. Int J Behav Nutr Phys Act. 2013;10:126.
Google Scholar | Crossref | Medline | ISI12. Katzmarzyk, PT, Church, TS, Craig, CL, Bouchard, C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009;41:998-1005.
Google Scholar | Crossref | Medline | ISI13. Proper, KI, Singh, AS, van Mechelen, W, Chinapaw, MJ. Sedentary behaviors and health outcomes among adults: a systematic review of prospective studies. Am J Prev Med. 2011;40:174-182.
Google Scholar | Crossref | Medline | ISI14. Dunstan, DW, Kingwell, BA, Larsen, R, et al. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012;35:976-983.
Google Scholar | Crossref | Medline | ISI15. Bey, L, Hamilton, MT. Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity. Physiol J. 2003;551:673-682.
Google Scholar | Crossref16. Bankoski, A, Harris, TB, McClain, JJ, et al. Sedentary activity associated with metabolic syndrome independent of physical activity. Diabetes Care. 2011;34:497-503.
Google Scholar | Crossref | Medline | ISI17. Healy, GN, Wijndaele, K, Dunstan, DW, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008;31:369-371.
Google Scholar | Crossref | Medline | ISI18. Neuhaus, M, Eakin, EG, Straker, L, et al. Reducing occupational sedentary time: a systematic review and meta-analysis of evidence on activity-permissive workstations. Obes Rev. 2014;15:822-838.
Google Scholar | Crossref | Medline | ISI19. Qiu, S, Cai, X, Ju, C, et al. Step counter use and sedentary time in adults: a meta-analysis. Medicine. 2015;94:e1412.
Google Scholar | Crossref | Medline20. Pesola, AJ, Laukkanen, A, Haakana, P, et al. Muscle inactivity and activity patterns after sedentary time–targeted randomized controlled trial. Med Sci Sports Exerc. 2014;46:2122-2131.
Google Scholar | Crossref | Medline21. Aadahl, M, Linneberg, A, Møller, TC, et al. Motivational counseling to reduce sitting time: a community-based randomized controlled trial in adults. Am J Prev Med. 2014;47:576-586.
Google Scholar | Crossref | Medline | ISI22. Fitzsimons, CF, Kirk, A, Baker, G, Michie, F, Kane, C, Mutrie, N. Using an individualised consultation and activPAL™ feedback to reduce sedentary time in older Scottish adults: results of a feasibility and pilot study. Prev Med. 2013;57:718-720.
Google Scholar | Crossref | Medline | ISI23. Lewis, LK, Rowlands, AV, Gardiner, PA, Standage, M, English, C, Olds, T. Small steps: preliminary effectiveness and feasibility of an incremental goal-setting intervention to reduce sitting time in older adults. Maturitas. 2016;85:64-70.
Google Scholar | Crossref | Medline24. Balducci, S, D’Errico, V, Haxhi, J, et al. Effect of a behavioral intervention strategy on sustained change in physical activity and sedentary behavior in patients with type 2 Diabetes: the IDES_2 randomized clinical trial. JAMA. 2019;321:880-890.
Google Scholar | Crossref | Medline25. Alothman, S, Alshehri, MM, Alenazi, AM, Rucker, J, Kluding, PM. The association between sedentary behavior and health variables in people with type 2 diabetes. Health Behav Policy Rev. 2020;7:198-206.
Google Scholar26. Patterson, R, McNamara, E, Tainio, M, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Eur J Epidemiol. 2018;33:811-829.
Google Scholar | Crossref | Medline27. Prochaska, JO, Velicer, WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12:38-48.
Google Scholar | SAGE Journals | ISI28. Bandura, A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84:191-215.
Google Scholar | Crossref | Medline | ISI29. Michie, S, Richardson, M, Johnston, M, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46:81-95.
Google Scholar | Crossref | Medline | ISI30. American Diabetes Association . Lifestyle management. Diabetes Care. 2017;40:S33-S43. doi:10.2337/dc17-s007
Google Scholar | Crossref31. Tremblay, MS, Colley, RC, Saunders, TJ, Healy, GN, Owen, N. Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab. 2010;35:725-740.
Google Scholar | Crossref | Medline | ISI32. van Dijk, JW, Venema, M, van Mechelen, W, Stehouwer, CD, Hartgens, F, van Loon, LJ. Effect of moderate-intensity exercise versus activities of daily living on 24-hour blood glucose homeostasis in male patients with type 2 diabetes. Diabetes Care. 2013;36:3448-3453.
Google Scholar | Crossref | Medline33. Takahashi, M, Miyashita, M, Park, JH, Sakamoto, S, Suzuki, K. Effects of breaking sitting by standing and acute exercise on postprandial oxidative stress. Asian J Sports Med. 2015;6:e24902.
Google Scholar | Crossref | Medline34. Barreira, TV, Hamilton, MT, Craft, LL, Gapstur, SM, Siddique, J, Zderic, TW. Intra-individual and inter-individual variability in daily sitting time and MVPA. J Sci Med Sport. 2016;19:476-481.
Google Scholar | Crossref | Medline35. Ang, SH, Thevarajah, M, Alias, Y, Khor, SM. Current aspects in hemoglobin A1c detection: a review. Clin Chim Acta. 2015;439:202-211.
Google Scholar | Crossref | Medline | ISI36. Rdc T . R: a language and environment for statistical computing. www.r-project.org
Google Scholar37. Lyden, K, Keadle, SK, Staudenmayer, J, Freedson, PS. The activPALTM accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc. 2017;49(5):1022-1028.
Google Scholar | Crossref | Medline38. Matei, R, Thuné-Boyle, I, Hamer, M, et al. Acceptability of a theory-based sedentary behaviour reduction intervention for older adults (‘On Your Feet to Earn Your Seat’). BMC Public Health. 2015;15:606.
Google Scholar | Crossref | Medline39. Dall, PM, Skelton, DA, Dontje, ML, et al. Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: seniors USP (understanding sedentary patterns). J Meas Phys Behav. 2018;1:26-31.
Google Scholar | Crossref | Medline40. Compernolle, S, DeSmet, A, Poppe, L, et al. Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2019;16:63.
Google Scholar | Crossref | Medline41. Dunstan, DW, Daly, RM, Owen, N, et al. High-intensity resistance training improves glycemic control in older patients with type 2 diabetes. Diabetes Care. 2002;25:1729-1736.
Google Scholar | Crossref | Medline | ISI42. Sigal, RJ, Kenny, GP, Boulé, NG, et al. Effects of aerobic training, resistance training, or both on glycemic control in type 2 diabetes: a randomized trial. Ann Intern Med. 2007;147:357-369.
Google Scholar | Crossref | Medline | ISI43. Boulé, NG, Haddad, E, Kenny, GP, Wells, GA, Sigal, RJ. Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: a meta-analysis of controlled clinical trials. JAMA. 2001;286:1218-1227.
Google Scholar | Crossref | Medline | ISI44. O’Hagan, C, De Vito G, Boreham, CA. Exercise prescription in the treatment of type 2 diabetes mellitus : current practices, existing guidelines and future directions. Sports Med. 2013;43:39-49.
Google Scholar | Crossref | Medline | ISI45. Jiang, F, Hou, X, Lu, J, et al. Assessment of the performance of A1CNow(+) and development of an error grid analysis graph for comparative hemoglobin A1c measurements. Diabetes Technol Ther. 2014;16:363-369.
Google Scholar | Crossref | Medline