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Journal Abstract Search
214 related items for PubMed ID: 15766613
41. Physical inactivity, non-participation in sports and socioeconomic status: a large population-based study among Norwegian adolescents. Heradstveit O, Haugland S, Hysing M, Stormark KM, Sivertsen B, Bøe T. BMC Public Health; 2020 Jun 26; 20(1):1010. PubMed ID: 32590961 [Abstract] [Full Text] [Related]
42. Do Media Use and Physical Activity Compete in Adolescents? Results of the MoMo Study. Spengler S, Mess F, Woll A. PLoS One; 2015 Jun 26; 10(12):e0142544. PubMed ID: 26629688 [Abstract] [Full Text] [Related]
43. Adolescent Physical Education Class Participation as a Predictor for Adult Physical Activity. Palakshappa D, Virudachalam S, Oreskovic NM, Goodman E. Child Obes; 2015 Oct 26; 11(5):616-23. PubMed ID: 26348687 [Abstract] [Full Text] [Related]
44. Regional Socioeconomic Inequalities in Physical Activity and Sedentary Behavior Among Brazilian Adolescents. Werneck AO, Oyeyemi AL, Fernandes RA, Romanzini M, Ronque ERV, Cyrino ES, Sardinha LB, Silva DR. J Phys Act Health; 2018 May 01; 15(5):338-344. PubMed ID: 29485919 [Abstract] [Full Text] [Related]
46. Temporal and environmental patterns of sedentary and active behaviors during adolescents' leisure time. Biddle SJ, Marshall SJ, Gorely T, Cameron N. Int J Behav Med; 2009 May 01; 16(3):278-86. PubMed ID: 19238558 [Abstract] [Full Text] [Related]
47. Active Gaming Prevalence and Correlates by Type of Day in Spanish Youth. Valencia-Peris A, Úbeda-Colomer J, Lizandra J, Peiró-Velert C, Devís-Devís J. J Phys Act Health; 2019 Sep 01; 16(9):715-721. PubMed ID: 31310996 [Abstract] [Full Text] [Related]
49. Television Viewing and Its Association with Sedentary Behaviors, Self-Rated Heath and Academic Performance among Secondary School Students in Peru. Sharma B, Cosme Chavez R, Jeong AS, Nam EW. Int J Environ Res Public Health; 2017 Apr 05; 14(4):. PubMed ID: 28379202 [Abstract] [Full Text] [Related]
50. The impact of sedentary behavior patterns on carotid atherosclerotic burden: Implications from the Corinthia epidemiological study. Lazaros G, Oikonomou E, Vogiatzi G, Christoforatou E, Tsalamandris S, Goliopoulou A, Tousouli M, Mystakidou V, Chasikidis C, Tousoulis D. Atherosclerosis; 2019 Mar 05; 282():154-161. PubMed ID: 30735857 [Abstract] [Full Text] [Related]
51. Patterns of time use among regional and rural adolescent girls: Associations with correlates of physical activity and health-related quality of life. Casey M, Harvey J, Telford A, Eime R, Mooney A, Payne W. J Sci Med Sport; 2016 Nov 05; 19(11):931-935. PubMed ID: 26996947 [Abstract] [Full Text] [Related]
52. Is television viewing a suitable marker of sedentary behavior in young people? Biddle SJ, Gorely T, Marshall SJ. Ann Behav Med; 2009 Oct 05; 38(2):147-53. PubMed ID: 19809858 [Abstract] [Full Text] [Related]
53. A school-based intervention program in promoting leisure-time physical activity: trial protocol. Kawabata M, Chua KL, Chatzisarantis NLD. BMC Public Health; 2018 Apr 02; 18(1):433. PubMed ID: 29609570 [Abstract] [Full Text] [Related]
54. Correlates of physical activity and screen-based behaviors in Chinese children. Huang WY, Wong SH, Salmon J. J Sci Med Sport; 2013 Nov 02; 16(6):509-14. PubMed ID: 23375485 [Abstract] [Full Text] [Related]
56. Stability and bidirectional relationship between physical activity and sedentary behaviours in Brazilian adolescents: Longitudinal findings from a school cohort study. Straatmann VS, Almquist YB, Oliveira AJ, Veiga GV, Rostila M, Lopes CS. PLoS One; 2019 Nov 02; 14(1):e0211470. PubMed ID: 30682158 [Abstract] [Full Text] [Related]
57. Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. de Jong E, Visscher TL, HiraSing RA, Heymans MW, Seidell JC, Renders CM. Int J Obes (Lond); 2013 Jan 02; 37(1):47-53. PubMed ID: 22158265 [Abstract] [Full Text] [Related]