The Association Between Time Spent in Sedentary Behaviors and Blood Pressure: A Systematic Review and Meta-Analysis

Sports Medicine

Volumn 45, Issue 6, 2015, Pages 867-880

  Lee, Paul H ^a   Wong, Frances K Y ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETRY; BLOOD PRESSURE; HUMAN; HYPERTENSION; META ANALYSIS; PHYSIOLOGY; RISK FACTOR; SEDENTARY LIFESTYLE; SELF REPORT; STATISTICAL MODEL; TIME FACTOR;

ACCELEROMETRY; BLOOD PRESSURE; HUMANS; HYPERTENSION; MODELS, STATISTICAL; RISK FACTORS; SEDENTARY LIFESTYLE; SELF REPORT; TIME FACTORS;

EID: 84929841426     PISSN: 01121642     EISSN: 11792035     Source Type: Journal    
DOI: 10.1007/s40279-015-0322-y     Document Type: Review

References (75)

1. Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–60.
2. Gaziano TA, Bitton A, Anand S, et al. The global cost of nonoptimal blood pressure. J Hypertens. 2009;27(7):1472–7.
3. Raphael CE, Whinnett ZI, Davies JE, et al. Quantifying the paradoxical effect of higher systolic blood pressure on mortality in chronic heart failure. Heart. 2009;95(1):56–62.
4. Blumenthal JA, Babyak MA, Hinderliter A, et al. Effects of the DASH diet alone and in combination with exercise and weight loss on blood pressure and cardiovascular biomarkers in men and women with high blood pressure: the ENCORE Study. Arch Intern Med. 2010;170(2):126–35.
5. Pescatello LS, Franklin BA, Fagard R, et al. American College of Sports Medicine Position Stand. Exercise and hypertension. Med Sci Sports Exerc. 2004;36:533–53.
6. Whelton PK, He J, Appel LJ, et al. Primary prevention of hypertension: clinical and public health advisory from the national high blood pressure education program. JAMA. 2002;288(15):1882–8.
7. Network Sedentary Behaviour Research. Letter to the Editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37:540–2.
8. 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.
9. Tanamas SK, Magliano DJ, Lynch B, et al. AusDiab Report 2012: Baker IDI Heart and Diabetes Institute; 2012.
10. Proper KI, Singh AS, Van Mechelen W, et al. Sedentary behaviors and health outcomes among adults: a systematic review of prospective studies. Am J Prev Med. 2011;40(2):174–82.
11. Thorp AA, Owen N, Neuhaus M, et al. 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.
12. 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):2448–55.
13. Lynch BM. Sedentary behavior and cancer: a systematic review of the literature and proposed biological mechanisms. Cancer Epidemiol Biomarkers Prev. 2010;19:2691–709.
14. Chinapaw MJM, Proper KI, Brug J, et al. Relationship between young peoples’ sedentary behaviour and biomedical health indicators: a systematic review of prospective studies. Obes Rev. 2011;12:e621–32.
15. Ford ES, Caspersen CJ. Sedentary behaviour and cardiovascular disease: a review of prospective studies. Int J Epidemiol. 2012;41(5):1338–53.
16. Edwardson CL, Gorely T, Davies MJ, et al. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. PLoS One. 2012;7(4):e34916.
17. Altenburg TM, de Kroon MLA, Renders CM, et al. TV time but not computer time is associated with cardiometabolic risk in Dutch young adults. PLoS One. 2013;8(2):e57749.
18. Grontved A, Ried-Larsen M, Moller NC, et al. Youth screen-time behaviour is associated with cardiovascular risk in young adulthood: the European Youth Heart Study. Eur J Prev Cardiol. 2014;21(1):49–56.
19. Jakes RW, Day NE, Khaw K-T, et al. Television viewing and low participation in vigorous recreation are independently associated with obesity and markers of cardiovascular disease risk: EPIC-Norfolk population-based study. Eur J Clin Nutr. 2003;57(9):1089–96.
20. Pouliou T, Ki M, Law C, et al. Physical activity and sedentary behaviour at different life stages and adult blood pressure in the 1958 British cohort. J Hypertens. 2012;30:275–83.
21. Gopinath B, Baur LA, Hardy LL, et al. Relationship between a range of sedentary behaviours and blood pressure during early adolescence. J Hum Hypertens. 2012;26:350–6.
22. Wijndaele K, Healy GN, Dunstan DW, et al. Increased cardiometabolic risk is associated with increased TV viewing time. Med Sci Sports Exerc. 2010;42(8):1511–8.
23. Martinez-Gomez D, Tucker J, Heelan KA, et al. Associations between sedentary behavior and blood pressure in young children. Arch Pediatr Adolesc Med. 2009;163(8):724–30.
24. de Moraes ACF, Carvalho HB, Rey-Lopez JP, et al. Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectional studies. PLoS One. 2013;8(5):e62006.
25. Chau JY, Grunseit A, Midthjell K, et al. Cross-sectional associations of total sitting and leisure screen time with cardiometabolic risk in adults. Results from the HUNT Study, Norway. J Sci Med Sport. 2014;17(1):78–84.
26. Wijndaele K, Duvigneaud N, Matton L, et al. Sedentary behaviour, physical activity and a continuous metabolic syndrome risk score in adults. Eur J Clin Nutr. 2009;63(3):421–9.
27. Staiano AE, Harrington DM, Broyles ST, et al. Television, adiposity, and cardiometabolic risk in children and adolescents. Am J Prev Med. 2013;44(1):40–7.
28. Stamatakis E, Hamer M, Tilling K, et al. Sedentary time in relation to cardio-metabolic risk factors: differential associations for self-report vs accelerometry in working age adults. Int J Epidemiol. 2012;41(5):1328–37.
29. Egger M, Davey Smith G, Schneider M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.
30. Duval SJ, Tweedie RL. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56:455–63.
31. Viechtbauer W. Conducting meta-analysis in R with the metafor package. J Stat Softw. 2010;36(3):1–48.
32. Chaput J-P, Saunders TJ, Mathieu M-E, et al. Combined associations between moderate to vigorous physical activity and sedentary behaviour with cardiometabolic risk factors in children. Appl Physiol Nutr Metab. 2013;38:477–83.
33. Altenburg TM, Hofsteenage GH, Weijs PJM, et al. Self-reported screen time and cardiometabolic risk in obese Dutch adolescents. PLoS One. 2012;7(12):e53333.
34. Gopinath B, Hardy LL, Kifley A, et al. Activity behaviors in schoolchildren and subsequent 5-yr change in blood pressure. Med Sci Sports Exerc. 2014;46(4):724–9.
35. Gaya AR, Alves A, Aires L, et al. Association between time spent in sedentary, moderate to vigorous physical activity, body mass index, cardiorespiratory fitness and blood pressure. Ann Hum Biol. 2009;36(4):379–87.
36. Gennuso KP, Gangnon RE, Matthews CE, et al. Sedentary behavior, physical activity, and markers of health in older adults. Med Sci Sports Exerc. 2013;45(8):1493–500.
37. Celis-Morales CA, Perez-Bravo F, Ibanez L, et al. Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS One. 2012;7(5):e36345.
38. Gustat J, Srinivasan SR, Elkasabany A, et al. Relation of self-rated measures of physical activity to multiple risk factors of insulin resistance syndrome in young adults: the Bogalusa Heart Study. J Clin Epidemiol. 2002;55(10):997–1006.
39. Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004;364(9430):257–62.
40. Dumith SC, Garcia LMT, de Silva KS, et al. Predictors and health consequences of screen-time change during adolescence—1993 Pelotas (Brazil) Birth Cohort Study. J Adolesc Health. 2012;51:S16–21.
41. Colley RC, Garriguet D, Janssen I, et al. The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey. BMC Public Health. 2013;13:200.
42. Hsu Y-W, Belcher BR, Ventura EE, et al. Physical activity, sedentary behavior, and the metabolic syndrome in minority youth. Med Sci Sports Exerc. 2011;43(12):2307–13.
43. Schmidt MD, Cleland VJ, Thomson RJ, et al. A comparison of subjective and objective measures of physical activity and fitness in identifying associations with cardiometabolic risk factors. Ann Epidemiol. 2008;18:378–86.
44. Byun W, Dowda M, Pate RR. Associations between screen-based sedentary behavior and cardiovascular disease risk factors in Korean youth. J Korean Med Sci. 2012;27:388–94.
45. Dasgupta K, O’Loughlin J, Chen S, et al. Emergence of sex differences in prevalence of high systolic blood pressure: analysis of longitudinal adolescent cohort. Circulation. 2006;144:2663–70.
46. Gardiner PA, Healy GN, Eakin EG, et al. Associations between television viewing time and overall sitting time with the metabolic syndrome in older men and women: the Australian Diabetes Obesity and Lifestyle Study. J Am Geriatr Soc. 2011;59:788–96.
47. Bertrais S, Beyeme-Ondoua J-P, Czernichow S, et al. Sedentary behaviors, physical activity, and metabolic syndrome in middle-aged French subjects. Obes Res. 2005;13:936–44.
48. George ES, Rosenkranz RR, Kolt GS. Chronic disease and sitting time in middle-aged Australian males: findings from the 45 and Up Study. Int J Behav Nutr Phys Act. 2013;10:20.
49. Pinto Pereira SM, Ki M, Power C. Sedentary behaviour and biomarkers for cardiovascular disease and diabetes in mid-life: the role of television-viewing and sitting at work. PLoS One. 2012;7(2):e31132.
50. Beunza JJ, Martinez-Gonzalez MA, Ebrahim S, et al. Sedentary behaviors and the risk of incident hypertension: the SUN Cohort. Am J Hypertens. 2007;20:1156–62.
51. Dunstan DW, Salmon J, Owen N, et al. Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia. 2005;48(11):2254–61.
52. Saleh D, Janssen I. Interrelationships among sedentary time, sleep duration, and the metabolic syndrome in adults. BMC Public Health. 2014;14:666.
53. Lee PH, Macfarlane DJ, Lam TH, et al. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011;8:115.
54. Van Poppel MNM, Chinapaw MJM, Mokkink LB, et al. Physical activity questionnaires for adults: a systematic review of measurement properties. Sports Med. 2010;40:565–600.
55. Lee PH, Macfarlane DJ, Lam TH. Factors associated with participant compliance in studies using accelerometers. Gait Posture. 2013;38(4):912–7.
56. Larsen RN, Kingwell BA, Sethi P, et al. Breaking up prolonged sitting reduces resting blood pressure in overweight/obese adults. Nutr Metab Cardio Disease. 2014;24(9):976–82.
57. Kelley GA, Kelley KA, Tran ZV. Aerobic exercise and resting blood pressure: a meta-analytic review of randomized, controlled trials. Prev Cardiol. 2001;4(2):73–80.
58. Australian Bureau of Statistics. How Australians use their time. Canberra: Commonwealth of Australia; 2008.
59. Wieha JL, Peterson KE, Ludwig DS, et al. When children eat what they watch: impact of television viewing on dietary intake in youth. Arch Pediatr Adolesc Med. 2006;160(4):436–42.
60. Kim Y, Wilkens LR, Park SY, et al. Association between various sedentary behaviours and all-cause, cardiovascular disease and cancer mortality: the Multiethnic Cohort Study. Int J Epidemiol. 2013;42(2):1040–56.
61. Teychenne M, Torres S, McNaughton SA, et al. Mediators of the relationship between sedentary behavior and depressive symptoms amongst disadvantaged women. Mental Health Phys Act. 2014;7(1):30–6.
62. Bickham DS, Blood EA, Walls CE, et al. Characteristics of screen media use associated with higher BMI in young adolescents. Pediatrics. 2013;131(5):935–41.
63. Frydenlund G, Jorgensen T, Toft U, et al. Sedentary leisure time behavior, snacking habits and cardiovascular biomarkers: the Inter99 study. Eur J Prev Cardiol. 2012;19:1111–9.
64. Cornelissen VA, Smart NA. Exercise training for blood pressure: a systematic review and meta-analysis. J Am Heart Assoc. 2013;2:e004473.
65. Jones D, Hoelscher DM, Kelder SH, et al. Increasing physical activity and decreasing sedentary activity in adolescent girls—The Incorporating More Physical Activity and Calcium in Teens (IMPACT) study. Int J Behav Nutr Phys Act. 2008;5:42.
66. Salmon J, Arundell L, Hume C, et al. A cluster-randomized controlled trial to reduce sedentary behavior and promote physical activity and health of 8–9 year olds: the Transform-Us! Study. BMC Public Health. 2011;11:759.
67. Healy GN, Dunstan DW, Salmon J, et al. Television time and continuous metabolic risk in physically active adults. Med Sci Sports Exerc. 2008;40(4):639–45.
68. Hu FB, Li TY, Colditz GA, et al. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289:1785–91.
69. Patel AV, Bernstein L, Deka A, et al. Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am J Epidemiol. 2010;172:419–29.
70. Tochikubo O, Ikeda A, Miyajima E, et al. Effects of insufficient sleep on blood pressure monitored by a new multibiomedical recorder. Hypertension. 1996;27:1318–24.
71. Park SH. Collinearity and optimal restrictions on regression parameters for estimating responses. Technometrics. 1981;23(3):289–95.
72. Hoerl AE, Kennard RW. Ridge regression: biased estimation for nonorthogonal problems. Technometrics. 1970;12(1):55–67.
73. Altenburg TM, Rotteveel J, Dunstan DW, et al. The effect of interrupting prolonged sitting time with short, hourly, moderate-intensity cycling bouts on cardiometabolic risk factors in healthy, young adults. J Appl Physiol. 2013;115(12):1751–6.
74. Peddie MC, Bone JL, Rehrer NJ, et al. Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial. Am J Clin Nutr. 2013;98(2):358–66.
75. Healy GN, Matthews CE, Dunstan DW, et al. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J. 2011;32:590–7.