期刊论文详细信息
International Journal of Behavioral Nutrition and Physical Activity
Television screen time, but not computer use and reading time, is associated with cardio-metabolic biomarkers in a multiethnic Asian population: a cross-sectional study
Rob M Van Dam2  Jeannette Lee3  E Shyong Tai2  Yi Wu3  Agus Salim1  Ei Ei Khaing Nang3 
[1] Department of Mathematics and Statistics, La Trobe University, Bundoora, Victoria, Australia;Department of Medicine, National University Health System, Singapore, Republic of Singapore;Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Republic of Singapore
关键词: Cardio-metabolic biomarkers;    Television screen time;    Sedentary behaviour;    Physical activity;   
Others  :  806921
DOI  :  10.1186/1479-5868-10-70
 received in 2012-10-23, accepted in 2013-05-24,  发布年份 2013
PDF
【 摘 要 】

Background

Recent evidence shows that sedentary behaviour may be an independent risk factor for cardiovascular diseases, diabetes, cancers and all-cause mortality. However, results are not consistent and different types of sedentary behaviour might have different effects on health. Thus the aim of this study was to evaluate the association between television screen time, computer/reading time and cardio-metabolic biomarkers in a multiethnic urban Asian population. We also sought to understand the potential mediators of this association.

Methods

The Singapore Prospective Study Program (2004–2007), was a cross-sectional population-based study in a multiethnic population in Singapore. We studied 3305 Singaporean adults of Chinese, Malay and Indian ethnicity who did not have pre-existing diseases and conditions that could affect their physical activity. Multiple linear regression analysis was used to assess the association of television screen time and computer/reading time with cardio-metabolic biomarkers [blood pressure, lipids, glucose, adiponectin, C reactive protein and homeostasis model assessment of insulin resistance (HOMA-IR)]. Path analysis was used to examine the role of mediators of the observed association.

Results

Longer television screen time was significantly associated with higher systolic blood pressure, total cholesterol, triglycerides, C reactive protein, HOMA-IR, and lower adiponectin after adjustment for potential socio-demographic and lifestyle confounders. Dietary factors and body mass index, but not physical activity, were potential mediators that explained most of these associations between television screen time and cardio-metabolic biomarkers. The associations of television screen time with triglycerides and HOMA-IR were only partly explained by dietary factors and body mass index. No association was observed between computer/ reading time and worse levels of cardio-metabolic biomarkers.

Conclusions

In this urban Asian population, television screen time was associated with worse levels of various cardio-metabolic risk factors. This may reflect detrimental effects of television screen time on dietary habits rather than replacement of physical activity.

【 授权许可】

   
2013 Nang et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140708101605992.pdf 568KB PDF download
Figure 2. 44KB Image download
Figure 1. 28KB Image download
【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】
  • [1]International Diabetes Federation: International Diabetes Federation.Diabetes Atlas. 5th edition. Brussels, Belgium: International Diabetes Federation; 2011.
  • [2]Pate R, Pratt M, Blair S, Haskell W, Macera C, Bouchard C: Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA 1995, 273(5):402-407.
  • [3]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.
  • [4]Hu FB: Sedentary lifestyle and risk of obesity and type 2 diabetes. Lipids 2003, 38(2):103-108.
  • [5]Owen N, Leslie E, Salmon J, Fotheringham MJ: Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev 2000, 28(4):153-158.
  • [6]Dunstan DW, Salmon J, Healy GN, Shaw JE, Jolley D, Zimmet PZ, Owen N: Association of television viewing with fasting and 2-h postchallenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 2007, 30(3):516-522.
  • [7]Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE: Physical activity and television viewing in relation to risk of undiagnosed abnormal glucose metabolism in adults. Diabetes Care 2004, 27(11):2603-2609.
  • [8]Dunstan DW, Salmon J, Owen N, Armstrong T, Zimmet PZ, Welborn TA, Cameron AJ, Dwyer T, Jolley D, Shaw JE: Associations of TV viewing and physical activity with the metabolic syndrome in Australian adults. Diabetologia 2005, 48(11):2254-2261.
  • [9]Fung TT, Hu FB, Yu J, Chu NF, Spiegelman D, Tofler GH, Willett WC, Rimm EB: Leisure-time physical activity, television watching, and plasma biomarkers of obesity and cardiovascular disease risk. Am J Epidemiol 2000, 152(12):1171-1178.
  • [10]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.
  • [11]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):1785-1791.
  • [12]Sidney S, Sternfeld B, Haskell WL, Jacobs DR Jr, Chesney MA, Hulley SB: Television viewing and cardiovascular risk factors in young adults: the CARDIA study. Ann Epidemiol 1996, 6(2):154-159.
  • [13]Ekelund U, Brage S, Griffin SJ, Wareham NJ: Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals. Diabetes Care 2009, 32(6):1081-1086.
  • [14]Lowry R, Wechsler H, Galuska DA, Fulton JE, Kann L: Television viewing and its associations with overweight, sedentary lifestyle, and insufficient consumption of fruits and vegetables among US high school students: differences by race, ethnicity, and gender. J Sch Health 2002, 72(10):413-421.
  • [15]Pearson N, Ball K, Crawford D: Mediators of longitudinal associations between television viewing and eating behaviours in adolescents. Int J Behav Nutr Phys Act 2011, 8:23. BioMed Central Full Text
  • [16]Wijndaele K, Duvigneaud N, Matton L, Duquet W, Delecluse C, Thomis M, Beunen G, Lefevre J, Philippaerts RM: Sedentary behaviour, physical activity and a continuous metabolic syndrome risk score in adults. Eur J Clin Nutr 2007, 63(3):421-429.
  • [17]Nang EE, Khoo CM, Tai ES, Lim SC, Tavintharan S, Wong TY, Heng D, Lee J: Is there a clear threshold for fasting plasma glucose that differentiates between those with and without neuropathy and chronic kidney disease?: the Singapore Prospective Study Program. Am J Epidemiol 2009, 169(12):1454-1462.
  • [18]Cutter J, Tan BY, Chew SK: Levels of cardiovascular disease risk factors in Singapore following a national intervention programme. Bull World Health Organ 2001, 79(10):908-915.
  • [19]Nang EE, Gitau Ngunjiri SA, Wu Y, Salim A, Tai ES, Lee J, Van Dam RM: Validity of the International Physical Activity Questionnaire and the Singapore Prospective Study Program physical activity questionnaire in a multiethnic urban Asian population. BMC Med Res Methodol 2011, 11:141. BioMed Central Full Text
  • [20]Khaing Nang EE, Khoo EY, Salim A, Tai ES, Lee J, Van Dam RM: Patterns of physical activity in different domains and implications for intervention in a multi-ethnic Asian population: a cross-sectional study. BMC Public Health 2010, 10:644. BioMed Central Full Text
  • [21]Gamborg M, Andersen PK, Baker JL, Budtz-Jorgensen E, Jorgensen T, Jensen G, Sorensen TI: Life course path analysis of birth weight, childhood growth, and adult systolic blood pressure. Am J Epidemiol 2009, 169(10):1167-1178.
  • [22]Thorp AA, Healy GN, Owen N, Salmon J, Ball K, Shaw JE, Zimmet PZ, Dunstan DW: Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004–2005. Diabetes Care 2010, 33(2):327-334.
  • [23]Jakes RW, Day NE, Khaw KT, Luben R, Oakes S, Welch A, Bingham S, Wareham NJ: 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):1089-1096.
  • [24]Stamatakis E, Hamer M: The extent to which adiposity markers explain the association between sedentary behavior and cardiometabolic risk factors. Obesity (Silver Spring) 2012, 20(1):229-232.
  • [25]Otten JJ, Jones KE, Littenberg B, Harvey-Berino J: Effects of television viewing reduction on energy intake and expenditure in overweight and obese adults: a randomized controlled trial. Arch Intern Med 2009, 169(22):2109-2115.
  • [26]Pearson N, Biddle SJ: Sedentary behavior and dietary intake in children, adolescents, and adults. A systematic review. Am J Prev Med 2011, 41(2):178-188.
  • [27]McKeown NM, Meigs JB, Liu S, Saltzman E, Wilson PW, Jacques PF: Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort. Diabetes Care 2004, 27(2):538-546.
  • [28]Lau C, Faerch K, Glumer C, Tetens I, Pedersen O, Carstensen B, Jorgensen T, Borch-Johnsen K: Dietary glycemic index, glycemic load, fiber, simple sugars, and insulin resistance: the Inter99 study. Diabetes Care 2005, 28(6):1397-1403.
  • [29]Healy GN, Dunstan DW, Salmon J, Shaw JE, Zimmet PZ, Owen N: Television time and continuous metabolic risk in physically active adults. Med Sci Sports Exerc 2008, 40(4):639-645.
  • [30]Altenburg TM, de Kroon ML, Renders CM, Hirasing R, Chinapaw MJ: TV time but not computer time is associated with cardiometabolic risk in Dutch young adults. PLoS One 2013, 8(2):e57749.
  • [31]Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'Brien WL, Bassett DR Jr, Schmitz KH, Emplaincourt PO, et al.: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000, 32(9 Suppl):S498-504.
  • [32]Scully M, Dixon H, Wakefield M: Association between commercial television exposure and fast-food consumption among adults. Public Health Nutr 2009, 12(1):105-110.
  • [33]Bowman SA: Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis 2006, 3(2):A38.
  • [34]Cleland VJ, Schmidt MD, Dwyer T, Venn AJ: Television viewing and abdominal obesity in young adults: is the association mediated by food and beverage consumption during viewing time or reduced leisure-time physical activity? Am J Clin Nutr 2008, 87(5):1148-1155.
  • [35]Bjorvatn B, Sagen IM, Oyane N, Waage S, Fetveit A, Pallesen S, Ursin R: The association between sleep duration, body mass index and metabolic measures in the Hordaland Health Study. J Sleep Res 2007, 16(1):66-76.
  • [36]Martinez-Gomez D, Eisenmann JC, Gomez-Martinez S, Hill EE, Zapatera B, Veiga OL, Marcos A: Sleep duration and emerging cardiometabolic risk markers in adolescents. AFINOS Study Sleep med 2011, 12(10):997-1002.
  • [37]Wells JC, Hallal PC, Reichert FF, Menezes AM, Araujo CL, Victora CG: Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes (Lond) 2008, 32(7):1042-1049.
  文献评价指标  
  下载次数:17次 浏览次数:23次