Brownson RC, Boehmer TK, Luke DA. Declining rates of physical activity in the United States: what are the contributors? Annu Rev Public Health. 2005;26:421–43. https://doi.org/10.1146/annurev.publhealth.26.021304.144437.
Article
PubMed
Google Scholar
Dunstan DW, Healy GN, Sugiyama T, Owen N. ‘Too much sitting’ and metabolic risk—has modern technology caught up with us? Eur Endocrinol. 2010;6(1):19–23.
Article
Google Scholar
Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504.
Article
PubMed
CAS
Google Scholar
Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. Sedentary behavior research network (SBRN)—terminology consensus project process and outcome. Int J Behav Nutr Phys Activity. 2017;14(1):75. https://doi.org/10.1186/s12966-017-0525-8.
Article
Google Scholar
Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008;167(7):875–81. https://doi.org/10.1093/aje/kwm390.
Article
PubMed
PubMed Central
Google Scholar
Office for Official Publications of the European Communities. Time use at different stages of life Results from 13 European countries. Luxemburg; 2003.
Scholes S, Mindell J. Chapter 2—Physical activity in adults. In: Craig R, Mindell J, editors. Health survey for England 2012. Volume 1: Health, social care and lifestyles. Leeds: Health and Social Care Information Centre; 2013.
Google Scholar
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):105–13. https://doi.org/10.1097/JES.0b013e3181e373a2.
Article
PubMed
PubMed Central
Google Scholar
Ford ES, Caspersen CJ. Sedentary behaviour and cardiovascular disease: a review of prospective studies. Int J Epidemiol. 2012;41(5):1338–53. https://doi.org/10.1093/Ije/Dys078.
Article
PubMed
PubMed Central
Google Scholar
Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, et al. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012;55(11):2895–905. https://doi.org/10.1007/s00125-012-2677-z.
Article
PubMed
CAS
Google Scholar
Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123–32. https://doi.org/10.7326/M14-1651.
Article
PubMed
Google Scholar
Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet. 2016;388(10051):1302–10. https://doi.org/10.1016/S0140-6736(16)30370-1.
Article
PubMed
Google Scholar
Wijndaele K, Sharp SJ, Wareham NJ, Brage S. mortality risk reductions from substituting screen time by discretionary activities. Med Sci Sports Exerc. 2017;49(6):1111–9. https://doi.org/10.1249/mss.0000000000001206.
Article
PubMed
PubMed Central
Google Scholar
Chau JY, Grunseit AC, Chey T, Stamatakis E, Brown WJ, Matthews CE, et al. Daily sitting time and all-cause mortality: a meta-analysis. PLoS ONE. 2013;8(11):e80000. https://doi.org/10.1371/journal.pone.0080000.
Article
PubMed
PubMed Central
CAS
Google Scholar
Grontved A, Hu FB. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality a meta-analysis. J Am Med Assoc (JAMA). 2011;305(23):2448–55. https://doi.org/10.1001/jama.2011.812.
Article
Google Scholar
Sun J-W, Zhao L-G, Yang Y, Ma X, Wang Y-Y, Xiang Y-B. Association Between television viewing time and all-cause mortality: a meta-analysis of cohort studies. Am J Epidemiol. 2015;182(11):908–16. https://doi.org/10.1093/aje/kwv164.
Article
PubMed
Google Scholar
Pandey A, Salahuddin U, Garg S, Ayers C, Kulinski J, Anand V, et al. Continuous dose–response association between sedentary time and risk for cardiovascular disease: a meta-analysis. JAMA Cardiol. 2016;1(5):575–83. https://doi.org/10.1001/jamacardio.2016.1567.
Article
PubMed
Google Scholar
Rezende LFM, Sá TH, Mielke GI, Viscondi JYK, Rey-López JP, Garcia LMT. All-cause mortality attributable to sitting time. Am J Prev Med. 2016;51(2):253–63. https://doi.org/10.1016/j.amepre.2016.01.022.
Article
PubMed
Google Scholar
Ramsey Buchanan L, Rooks-Peck CR, Finnie RKC, Wethington HR, Jacob V, Fulton JE, et al. Reducing recreational sedentary screen time. Am J Prev Med. 2016;50(3):402–15. https://doi.org/10.1016/j.amepre.2015.09.030.
Article
PubMed
Google Scholar
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(2):207–15. https://doi.org/10.1016/j.amepre.2011.05.004.
Article
PubMed
Google Scholar
Proper KI, Singh AS, van Mechelen W, Chinapaw MJM. Sedentary behaviors and health outcomes among adults a systematic review of prospective studies. Am J Prev Med. 2011;40(2):174–82. https://doi.org/10.1016/j.amepre.2010.10.015.
Article
PubMed
Google Scholar
Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses. Oxford, UK; 2000.
Juni P, Witschi A, Bloch R, Egger M. The hazards of scoring the quality of clinical trials for meta-analysis. JAMA. 1999;282(11):1054–60.
Article
PubMed
CAS
Google Scholar
Hamling J, Lee P, Weitkunat R, Ambuhl M. Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Stat Med. 2008;27(7):954–70. https://doi.org/10.1002/sim.3013.
Article
PubMed
Google Scholar
Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D. Meta-analysis for linear and nonlinear dose–response relations: examples, an evaluation of approximations, and software. Am J Epidemiol. 2012;175(1):66–73. https://doi.org/10.1093/aje/kwr265.
Article
PubMed
Google Scholar
Greenland S, Longnecker MP. Methods for trend estimation from summarized dose–response data, with applications to meta-analysis. Am J Epidemiol. 1992;135(11):1301–9.
Article
PubMed
CAS
Google Scholar
Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose–response data. Stata J. 2006;6(1):40–57.
Google Scholar
DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177–88.
Article
PubMed
CAS
Google Scholar
Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60. https://doi.org/10.1136/bmj.327.7414.557.
Article
PubMed
PubMed Central
Google Scholar
Higgins J, Green S. Cochrane handbook for systematic reviews of interventions. The Cochrane Collaboration. http://handbook.cochrane.org/.
Harrell FE Jr. Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. New York: Springer; 2001.
Book
Google Scholar
WHO. Metrics: population attributable fraction (PAF). http://www.who.int/healthinfo/global_burden_disease/metrics_paf/en/. Accessed 15 May 2017.
Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, et al. Television viewing and incident cardiovascular disease: prospective associations and mediation analysis in the EPIC Norfolk Study. PLoS ONE. 2011;6(5):e20058. https://doi.org/10.1371/journal.pone.0020058.
Article
PubMed
PubMed Central
CAS
Google Scholar
Patel AV, Bernstein L, Deka A, Feigelson HS, Campbell PT, Gapstur SM, et al. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am J Epidemiol. 2010;172(4):419–29. https://doi.org/10.1093/aje/kwq155.
Article
PubMed
PubMed Central
Google Scholar
Herber-Gast GC, Jackson CA, Mishra GD, Brown WJ. Self-reported sitting time is not associated with incidence of cardiovascular disease in a population-based cohort of mid-aged women. Int J Behav Nutr Phys Activity. 2013;10:55. https://doi.org/10.1186/1479-5868-10-55.
Article
Google Scholar
Chomistek AK, Manson JE, Stefanick ML, Lu B, Sands-Lincoln M, Going SB, et al. Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women’s Health Initiative. J Am Coll Cardiol. 2013;61(23):2346–54. https://doi.org/10.1016/j.jacc.2013.03.031.
Article
PubMed
PubMed Central
Google Scholar
Borodulin K, Karki A, Laatikainen T, Peltonen M, Luoto R. Daily sedentary time and risk of cardiovascular disease: the National FINRISK 2002 study. J Phys Activity Health. 2014. https://doi.org/10.1123/jpah.2013-0364.
Article
Google Scholar
Anjana RM, Sudha V, Nair DH, Lakshmipriya N, Deepa M, Pradeepa R, et al. Diabetes in Asian Indians-how much is preventable? Ten-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES-142). Diabetes Res Clin Pract. 2015;109(2):253–61. https://doi.org/10.1016/j.diabres.2015.05.039.
Article
PubMed
Google Scholar
Basterra-Gortari FJ, Bes-Rastrollo M, Gea A, Nunez-Cordoba JM, Toledo E, Martinez-Gonzalez MA. Television viewing, computer use, time driving and all-cause mortality: the SUN cohort. J Am Heart Assoc. 2014. https://doi.org/10.1161/JAHA.114.000864.
PubMed
PubMed Central
Article
Google Scholar
Chau JY, Grunseit A, Midthjell K, Holmen J, Holmen TL, Bauman AE, et al. Sedentary behaviour and risk of mortality from all-causes and cardiometabolic diseases in adults: evidence from the HUNT3 population cohort. Br J Sports Med. 2013. https://doi.org/10.1136/bjsports-2012-091974.
PubMed
Article
Google Scholar
Ding D, Chong S, Jalaludin B, Comino E, Bauman AE. Risk factors of incident type 2-diabetes mellitus over a 3-year follow-up: results from a large Australian sample. Diabetes Res Clin Pract. 2015;108(2):306–15.
Article
PubMed
Google Scholar
Ensrud KE, Blackwell TL, Cauley JA, Dam TTL, Cawthon PM, Schousboe JT, et al. Objective measures of activity level and mortality in older men. J Am Geriatr Soc. 2014;62(11):2079–87. https://doi.org/10.1111/jgs.13101.
Article
PubMed
PubMed Central
Google Scholar
Gibbs BB, Gabriel KP, Reis JP, Jakicic JM, Carnethon MR, Sternfeld B. Cross-sectional and longitudinal associations between objectively measured sedentary time and metabolic disease: the coronary artery risk development in young adults (CARDIA) study. Diabetes Care. 2015;38(10):1835–43.
Article
CAS
Google Scholar
Joseph JJ, Echouffo-Tcheugui JB, Golden SH, Chen H, Jenny NS, Carnethon MR, et al. Physical activity, sedentary behaviors and the incidence of type 2 diabetes mellitus: the Multi-Ethnic Study of Atherosclerosis (MESA). BMJ Open Diabetes Res Care. 2016;4(1):e000185.
Article
PubMed
PubMed Central
Google Scholar
Kim Y, Wilkens LR, Park SY, Goodman MT, Monroe KR, Kolonel LN. Association between various sedentary behaviours and all-cause, cardiovascular disease and cancer mortality: the Multiethnic Cohort Study. Int J Epidemiol. 2013;42(4):1040–56. https://doi.org/10.1093/ije/dyt108.
Article
PubMed
PubMed Central
Google Scholar
Muennig P, Rosen Z, Johnson G. Do the psychosocial risks associated with television viewing increase mortality? Evidence from the 2008 General Social Survey-National Death Index dataset. Ann Epidemiol. 2013;23(6):355–60. https://doi.org/10.1016/j.annepidem.2013.03.014.
Article
PubMed
PubMed Central
Google Scholar
Warren TY, Barry V, Hooker SP, Sui X, Church TS, Blair SN. Sedentary behaviors increase risk of cardiovascular disease mortality in men. Med Sci Sports Exerc. 2010;42(5):879–85. https://doi.org/10.1249/MSS.0b013e3181c3aa7e.
Article
PubMed
PubMed Central
Google Scholar
Wijndaele K, Brage S, Besson H, Khaw KT, Sharp SJ, Luben R, et al. Television viewing time independently predicts all-cause and cardiovascular mortality: the EPIC Norfolk study. Int J Epidemiol. 2011;40(1):150–9. https://doi.org/10.1093/ije/dyq105.
Article
PubMed
Google Scholar
Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, et al. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010;121(3):384–91. https://doi.org/10.1161/CIRCULATIONAHA.109.894824.
Article
PubMed
CAS
Google Scholar
Ford ES, Schulze MB, Kroger J, Pischon T, Bergmann MM, Boeing H. Television watching and incident diabetes: findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study. J Diabetes. 2010;2(1):23–7. https://doi.org/10.1111/j.1753-0407.2009.00047.x.
Article
PubMed
Google Scholar
Fox KR, Ku PW, Hillsdon M, Davis MG, Simmonds BA, Thompson JL, et al. Objectively assessed physical activity and lower limb function and prospective associations with mortality and newly diagnosed disease in UK older adults: an OPAL four-year follow-up study. Age Ageing. 2015;44(2):261–8. https://doi.org/10.1093/ageing/afu168.
Article
PubMed
Google Scholar
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):1542–8.
Article
PubMed
CAS
Google Scholar
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. JAMA. 2003;289(14):1785–91. https://doi.org/10.1001/jama.289.14.1785.
Article
PubMed
Google Scholar
Ikehara S, Iso H, Wada Y, Tanabe N, Watanabe Y, Kikuchi S, et al. Television viewing time and mortality from stroke and coronary artery disease among Japanese men and women—the Japan Collaborative Cohort Study. Circ J. 2015;79(11):2389–95. https://doi.org/10.1253/circj.CJ-14-1335.
Article
PubMed
Google Scholar
Inoue M, Iso H, Yamamoto S, Kurahashi N, Iwasaki M, Sasazuki S, et al. Daily total physical activity level and premature death in men and women: results from a large-scale population-based cohort study in Japan (JPHC study). Ann Epidemiol. 2008;18(7):522–30. https://doi.org/10.1016/j.annepidem.2008.03.008.
Article
PubMed
Google Scholar
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(5):998–1005. https://doi.org/10.1249/MSS.0b013e3181930355.
Article
PubMed
Google Scholar
Keadle SK, Moore SC, Sampson JN, Xiao Q, Albanes D, Matthews CE. Causes of death associated with prolonged TV viewing: NIH-AARP diet and health study. Am J Prev Med. 2015;49(6):811–21.
Article
PubMed
PubMed Central
Google Scholar
Krishnan S, Rosenberg L, Palmer JR. Physical activity and television watching in relation to risk of type 2 diabetes: the Black Women’s Health Study. Am J Epidemiol. 2009;169(4):428–34. https://doi.org/10.1093/aje/kwn344.
Article
PubMed
Google Scholar
Manini TM, LaMonte MJ, Seguin RA, Manson JE, Hingle M, Garcia L, et al. Modifying effect of obesity on the association between sitting and incident diabetes in post-menopausal women. Obesity. 2014;22(4):1133–41.
Article
PubMed
Google Scholar
Matthews CE, Cohen SS, Fowke JH, Han X, Xiao Q, Buchowski MS, et al. Physical activity, sedentary behavior, and cause-specific mortality in black and white adults in the Southern Community Cohort Study. Am J Epidemiol. 2014;180(4):394–405. https://doi.org/10.1093/aje/kwu142.
Article
PubMed
PubMed Central
Google Scholar
Matthews CE, George SM, Moore SC, Bowles HR, Blair A, Park Y, et al. Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr. 2012;95(2):437–45. https://doi.org/10.3945/ajcn.111.019620.
Article
PubMed
PubMed Central
CAS
Google Scholar
Matthews CE, Moore SC, Sampson J, Blair A, Xiao Q, Keadle SK, et al. Mortality benefits for replacing sitting time with different physical activities. Med Sci Sports Exerc. 2015. https://doi.org/10.1249/mss.0000000000000621.
Article
PubMed
PubMed Central
Google Scholar
Pavey TG, Peeters GG, Brown WJ. Sitting-time and 9-year all-cause mortality in older women. Br J Sports Med. 2012;49(2):95–9. https://doi.org/10.1136/bjsports-2012-091676.
Article
PubMed
Google Scholar
Petersen CB, Bauman A, Gronbaek M, Wulff Helge J, Thygesen LC, Tolstrup JS. Total sitting time and risk of myocardial infarction, coronary heart disease and all-cause mortality in a prospective cohort of Danish adults. Int J Behav Nutr Phys Activity. 2014;11:13. https://doi.org/10.1186/1479-5868-11-13.
Article
Google Scholar
Petersen CB, Bauman A, Tolstrup JS. Total sitting time and the risk of incident diabetes in Danish adults (the DANHES cohort) over 5 years: a prospective study. Br J Sports Med. 2016;50(22):1382–7. https://doi.org/10.1136/bjsports-2015-095648.
Article
PubMed
Google Scholar
Pulsford RM, Stamatakis E, Britton AR, Brunner EJ, Hillsdon M. Associations of sitting behaviours with all-cause mortality over a 16-year follow-up: the Whitehall II study. Int J Epidemiol. 2015;44(6):1909–16. https://doi.org/10.1093/ije/dyv191.
Article
PubMed
PubMed Central
Google Scholar
Schmid D, Ricci C, Leitzmann MF. Associations of objectively assessed physical activity and sedentary time with all-cause mortality in US adults: the NHANES study. PLoS ONE. 2015;10(3):e0119591. https://doi.org/10.1371/journal.pone.0119591.
Article
PubMed
PubMed Central
CAS
Google Scholar
Seguin R, Buchner DM, Liu J, Allison M, Manini T, Wang CY, et al. Sedentary behavior and mortality in older women: the Women’s Health Initiative. Am J Prev Med. 2014;46(2):122–35. https://doi.org/10.1016/j.amepre.2013.10.021.
Article
PubMed
PubMed Central
Google Scholar
Smith L, Hamer M. Television viewing time and risk of incident diabetes mellitus: the English Longitudinal Study of Ageing. Diabet Med. 2014;31(12):1572–6. https://doi.org/10.1111/dme.12544.
Article
PubMed
PubMed Central
CAS
Google Scholar
Suzuki K. Health conditions and mortality in the Japan Collaborative Cohort Study for Evaluation of Cancer (JACC). Asian Pacific J Cancer Prev. 2007;8:25–34.
Google Scholar
van der Ploeg HP, Chey T, Korda RJ, Banks E, Bauman A. Sitting time and all-cause mortality risk in 222 497 Australian adults. Arch Intern Med. 2012;172(6):494–500. https://doi.org/10.1001/archinternmed.2011.2174.
Article
PubMed
Google Scholar
The Women’s Health Initiative Study Group. Design of the Women’s Health Initiative clinical trial and observational study. The Women’s Health Initiative Study Group. Control Clin Trials. 1998;19(1):61–109.
Article
Google Scholar
Day N, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, et al. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer. 1999;80(Suppl 1):95–103.
PubMed
Google Scholar
Kolonel LN, Henderson BE, Hankin JH, Nomura AM, Wilkens LR, Pike MC, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol. 2000;151(4):346–57.
Article
PubMed
PubMed Central
CAS
Google Scholar
Krokstad S, Langhammer A, Hveem K, Holmen TL, Midthjell K, Stene TR, et al. Cohort Profile: the HUNT Study, Norway. Int J Epidemiol. 2013;42(4):968–77. https://doi.org/10.1093/ije/dys095.
Article
PubMed
CAS
Google Scholar
Langer RD, White E, Lewis CE, Kotchen JM, Hendrix SL, Trevisan M. The Women’s Health Initiative Observational Study: baseline characteristics of participants and reliability of baseline measures. Ann Epidemiol. 2003;13(9 Suppl):S107–21.
Article
PubMed
Google Scholar
Ohno Y, Tamakoshi A. Japan collaborative cohort study for evaluation of cancer risk sponsored by monbusho (JACC study). J Epidemiol. 2001;11(4):144–50.
Article
PubMed
CAS
Google Scholar
Bild DE, Bluemke DA, Burke GL, Detrano R, Diez Roux AV, Folsom AR, et al. Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002;156(9):871–81.
Article
PubMed
Google Scholar
Blank JB, Cawthon PM, Carrion-Petersen ML, Harper L, Johnson JP, Mitson E, et al. Overview of recruitment for the osteoporotic fractures in men study (MrOS). Contemp Clin Trials. 2005;26(5):557–68. https://doi.org/10.1016/j.cct.2005.05.005.
Article
PubMed
Google Scholar
Boeing H, Wahrendorf J, Becker N. EPIC-Germany—a source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition. Ann Nutr Metab. 1999;43(4):195–204.
Article
PubMed
CAS
Google Scholar
Eriksen L, Gronbaek M, Helge JW, Tolstrup JS, Curtis T. The Danish Health Examination Survey 2007–2008 (DANHES 2007–2008). Scand J Public Health. 2011;39(2):203–11. https://doi.org/10.1177/1403494810393557.
Article
PubMed
Google Scholar
Friedman GD, Cutter GR, Donahue RP, Hughes GH, Hulley SB, Jacobs DR Jr, et al. CARDIA: study design, recruitment, and some characteristics of the examined subjects. J Clin Epidemiol. 1988;41(11):1105–16.
Article
PubMed
CAS
Google Scholar
Schatzkin A, Subar AF, Thompson FE, Harlan LC, Tangrea J, Hollenbeck AR, et al. Design and serendipity in establishing a large cohort with wide dietary intake distributions: the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Am J Epidemiol. 2001;154(12):1119–25.
Article
PubMed
CAS
Google Scholar
Segui-Gomez M, de la Fuente C, Vazquez Z, de Irala J, Martinez-Gonzalez MA. Cohort profile: the ‘Seguimiento Universidad de Navarra’ (SUN) study. Int J Epidemiol. 2006;35(6):1417–22. https://doi.org/10.1093/ije/dyl223.
Article
PubMed
Google Scholar
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(1):181–8. https://doi.org/10.1249/mss.0b013e31815a51b3.
Article
PubMed
Google Scholar
Hamilton MT, Hamilton DG, Zderic TW. Exercise physiology versus inactivity physiology: an essential concept for understanding lipoprotein lipase regulation. Exerc Sport Sci Rev. 2004;32(4):161–6.
Article
PubMed
PubMed Central
Google Scholar
Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N. Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab. 2010;35(6):725–40.
Article
PubMed
Google Scholar
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):2655–67. https://doi.org/10.2337/db07-0882.
Article
PubMed
CAS
Google Scholar
Young DR, Hivert MF, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, et al. Sedentary behavior and cardiovascular morbidity and mortality: a science advisory from the American Heart Association. Circulation. 2016;134(13):e262–79. https://doi.org/10.1161/cir.0000000000000440.
Article
PubMed
Google Scholar
Bowman SA. Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chron Dis. 2006;3(2):A38.
Google Scholar
Alderman MH, Cohen H, Madhavan S. Dietary sodium intake and mortality: the National Health and Nutrition Examination Survey (NHANES I). Lancet. 1998;351(9105):781–5. https://doi.org/10.1016/S0140-6736(97)09092-2.
Article
PubMed
CAS
Google Scholar
Kant AK, Schatzkin A, Graubard BI, Schairer C. A prospective study of diet quality and mortality in women. JAMA. 2000;283(16):2109–15.
Article
PubMed
CAS
Google Scholar
Healy GN, Clark BK, Winkler EA, Gardiner PA, Brown WJ, Matthews CE. Measurement of adults’ sedentary time in population-based studies. Am J Prev Med. 2011;41(2):216–27. https://doi.org/10.1016/j.amepre.2011.05.005.
Article
PubMed
PubMed Central
Google Scholar
Wijndaele K, Bourdeaudhuij ID, Godino JG, Lynch BM, Griffin SJ, Westgate K, et al. Reliability and validity of a domain-specific last 7-d sedentary time questionnaire. Med Sci Sports Exerc. 2014;46(6):1248–60. https://doi.org/10.1249/MSS.0000000000000214.
Article
PubMed
PubMed Central
Google Scholar
Almoosawi S, Winter J, Prynne CJ, Hardy R, Stephen AM. Daily profiles of energy and nutrient intakes: are eating profiles changing over time? Eur J Clin Nutr. 2012;66(6):678–86. https://doi.org/10.1038/ejcn.2011.210.
Article
PubMed
CAS
Google Scholar
Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, et al. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012;35(5):976–83. https://doi.org/10.2337/dc11-1931.
Article
PubMed
PubMed Central
Google Scholar
Peddie MC, Bone JL, Rehrer NJ, Skeaff CM, Gray AR, Perry TL. Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial. Am J Clin Nutr. 2013;98(2):358–66. https://doi.org/10.3945/ajcn.112.051763.
Article
PubMed
CAS
Google Scholar
Bavishi A, Slade MD, Levy BR. A chapter a day: association of book reading with longevity. Soc Sci Med. 2016;164:44–8. https://doi.org/10.1016/j.socscimed.2016.07.014.
Article
PubMed
PubMed Central
Google Scholar
Lynch B. Sedentary Behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 2010;19(11):2691–709.
Article
PubMed
Google Scholar
Holman N, Forouhi NG, Goyder E, Wild SH. The Association of Public Health Observatories (APHO) diabetes prevalence model: estimates of total diabetes prevalence for England, 2010–2030. Diabet Med. 2011;28(5):575–82. https://doi.org/10.1111/j.1464-5491.2010.03216.x.
Article
PubMed
CAS
Google Scholar
Beurau of Labour Statistics. American time use survey summary. United States Department of Labor. https://www.bls.gov/news.release/atus.nr0.htm (2016). Accessed 23 Jan 2017.