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Journal Abstract Search

367 related items for PubMed ID: 18317383

  • 1. Television time and continuous metabolic risk in physically active adults.
    Healy GN, Dunstan DW, Salmon J, Shaw JE, Zimmet PZ, Owen N.
    Med Sci Sports Exerc; 2008 Apr; 40(4):639-45. PubMed ID: 18317383
    [Abstract] [Full Text] [Related]

  • 2. Association of television viewing with fasting and 2-h postchallenge plasma glucose levels in adults without diagnosed diabetes.
    Dunstan DW, Salmon J, Healy GN, Shaw JE, Jolley D, Zimmet PZ, Owen N, AusDiab Steering Committee.
    Diabetes Care; 2007 Mar; 30(3):516-22. PubMed ID: 17327314
    [Abstract] [Full Text] [Related]

  • 3. Sedentary behaviour, physical activity and a continuous metabolic syndrome risk score in adults.
    Wijndaele K, Duvigneaud N, Matton L, Duquet W, Delecluse C, Thomis M, Beunen G, Lefevre J, Philippaerts RM.
    Eur J Clin Nutr; 2009 Mar; 63(3):421-9. PubMed ID: 17971826
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  • 5. Socioeconomic position, gender, health behaviours and biomarkers of cardiovascular disease and diabetes.
    Kavanagh A, Bentley RJ, Turrell G, Shaw J, Dunstan D, Subramanian SV.
    Soc Sci Med; 2010 Sep; 71(6):1150-60. PubMed ID: 20667641
    [Abstract] [Full Text] [Related]

  • 6. Influence of time spent on TV viewing and vigorous intensity physical activity on cardiovascular biomarkers. The Inter 99 study.
    Aadahl M, Kjaer M, Jørgensen T.
    Eur J Cardiovasc Prev Rehabil; 2007 Oct; 14(5):660-5. PubMed ID: 17925625
    [Abstract] [Full Text] [Related]

  • 7. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).
    Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, Owen N.
    Diabetes Care; 2008 Feb; 31(2):369-71. PubMed ID: 18000181
    [Abstract] [Full Text] [Related]

  • 8. Physical activity is associated with risk factors for chronic disease across adult women's life cycle.
    Woolf K, Reese CE, Mason MP, Beaird LC, Tudor-Locke C, Vaughan LA.
    J Am Diet Assoc; 2008 Jun; 108(6):948-59. PubMed ID: 18502225
    [Abstract] [Full Text] [Related]

  • 9. Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose.
    Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, Owen N.
    Diabetes Care; 2007 Jun; 30(6):1384-9. PubMed ID: 17473059
    [Abstract] [Full Text] [Related]

  • 10. Associations between the metabolic syndrome and its components, watching television and physical activity.
    Li CL, Lin JD, Lee SJ, Tseng RF.
    Public Health; 2007 Feb; 121(2):83-91. PubMed ID: 17188724
    [Abstract] [Full Text] [Related]

  • 11. Weight status and perception barriers to healthy physical activity and diet behavior.
    Atlantis E, Barnes EH, Ball K.
    Int J Obes (Lond); 2008 Feb; 32(2):343-52. PubMed ID: 17684508
    [Abstract] [Full Text] [Related]

  • 12. Neighborhood walkability and TV viewing time among Australian adults.
    Sugiyama T, Salmon J, Dunstan DW, Bauman AE, Owen N.
    Am J Prev Med; 2007 Dec; 33(6):444-9. PubMed ID: 18022059
    [Abstract] [Full Text] [Related]

  • 13. Sociodemographic risk factors of metabolic syndrome in middle-aged women: results from a population-based study of Swedish women, The Women's Health in the Lund Area (WHILA) Study.
    Qader SS, Shakir YA, Nyberg P, Samsioe G.
    Climacteric; 2008 Dec; 11(6):475-82. PubMed ID: 18991074
    [Abstract] [Full Text] [Related]

  • 14. Sedentary behavior, physical activity, and concentrations of insulin among US adults.
    Ford ES, Li C, Zhao G, Pearson WS, Tsai J, Churilla JR.
    Metabolism; 2010 Sep; 59(9):1268-75. PubMed ID: 20060142
    [Abstract] [Full Text] [Related]

  • 15. Screen time and metabolic risk factors among adolescents.
    Hardy LL, Denney-Wilson E, Thrift AP, Okely AD, Baur LA.
    Arch Pediatr Adolesc Med; 2010 Jul; 164(7):643-9. PubMed ID: 20603465
    [Abstract] [Full Text] [Related]

  • 16. Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomarkers: Australian Diabetes, Obesity and Lifestyle (AusDiab) study 2004-2005.
    Thorp AA, Healy GN, Owen N, Salmon J, Ball K, Shaw JE, Zimmet PZ, Dunstan DW.
    Diabetes Care; 2010 Feb; 33(2):327-34. PubMed ID: 19918003
    [Abstract] [Full Text] [Related]

  • 17. Depressive symptoms and metabolic risk: effects of cortisol and gender.
    Muhtz C, Zyriax BC, Klähn T, Windler E, Otte C.
    Psychoneuroendocrinology; 2009 Aug; 34(7):1004-11. PubMed ID: 19278789
    [Abstract] [Full Text] [Related]

  • 18. Moderate-to-vigorous physical activity and sedentary behaviours in relation to body mass index-defined and waist circumference-defined obesity.
    Stamatakis E, Hirani V, Rennie K.
    Br J Nutr; 2009 Mar; 101(5):765-73. PubMed ID: 18680630
    [Abstract] [Full Text] [Related]

  • 19. Waist circumference predicts cardiometabolic and global Framingham risk among women screened during National Woman's Heart Day.
    Mosca L, Edelman D, Mochari H, Christian AH, Paultre F, Pollin I.
    J Womens Health (Larchmt); 2006 Mar; 15(1):24-34. PubMed ID: 16417415
    [Abstract] [Full Text] [Related]

  • 20. A comparison of subjective and objective measures of physical activity and fitness in identifying associations with cardiometabolic risk factors.
    Schmidt MD, Cleland VJ, Thomson RJ, Dwyer T, Venn AJ.
    Ann Epidemiol; 2008 May; 18(5):378-86. PubMed ID: 18433666
    [Abstract] [Full Text] [Related]

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