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Wu XY, Tao SM, Zhang SC, Zhang YK, Huang K, Tao FB. [Analysis on risk factors of screen time among Chinese primary and middle school students in 12 provinces]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2016; 50:508-13. [PMID: 27256730 DOI: 10.3760/cma.j.issn.0253-9624.2016.06.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the characteristics of screen time and its risk factors in Chinese primary and middle school students. METHODS During April 2012 and June 2012, according to the geographical distribution, the stratified random cluster sampling method was used to select 4 provinces from eastern, central and western China, respectively. The convenience sampling method was used to select 2 primary and middle schools from urban, 2 primary and middle schools from rural in each province. In each school, all grades were included, and 2 classes were selected in each grade. A total of 51 866 students or parents were selected as study participants, and 43 771 questionnaires were valid. Information on demographics, academic performance, screen time (TV, computer and cellphone) at weekdays and weekends and the prevalence of the high screen time were compared, multivariate logistic regression was used to analyze the association between screen time >2 h/d and potential influential factors. RESULTS The percentage of students with screen time >2 h/d at weekdays and weekends were 16.2% (7 082/43 771) and 41.5% (18 141/43 771) (χ(2)=6 280.14, P<0.001), respectively. The distribution of P50 (P25-P75) for screen time at weekdays and weekends were 0.9(0.4-1.6) and 1.8(1.0-3.0) (Z=-131.26, P<0.001), respectively. The results of multinomial logistic regression analysis showed that, at weekdays, subjects characterized as primary school students, boys, urban area, living in western area and sufficient vigorous physical activity ≤2 d/w had higher risk for screen time >2 h/d than those characterized as elementary school students, girls, rural area, living in eastern area and sufficient vigorous physical activity >3 d/w, odds ratio were 2.01, 1.54, 1.21, 1.09, and 1.07, respectively (P<0.05 for all); subjects characterized as a normal or worse self rating academic performance had higher risk for screen time >2 h/d than those characterized as a good self rating academic performance, odds ratioes were 1.24 and 1.73, respectively (P<0.05 for all); subjects characterized as paternal education level as elementary school, middle school, high school or secondary school had higher risk for screen time >2 h/d than those characterized as paternal education level as college school or high, odds ratioes were 1.41, 1.47 and 1.52, respectively (P<0.05 for all); subjects characterized as maternal education level as elementary school, middle school and high school or secondary school had higher risk for screen time >2 h/d than those characterized as maternal education level as college, odds ratioes were 1.40, 1.52 and 1.47, respectively (P<0.05 for all). At weekends, subjects characterized as primary school students, boys, urban area and sufficient vigorous physical activity ≤2 d/w had higher risk for screen time >2 h/d than those characterized as elementary school students, girls, rural area and sufficient vigorous physical activity >3 d/w, odds ratioes were 2.11, 1.51, 1.20 and 1.05, respectively (P<0.05 for all). At weekends, subjects characterized as a normal or worse self rating academic performance had higher risk for screen time >2 h/d than those characterized as a good self rating academic performance, odds ratioes were 1.09 and 1.26, respectively (P<0.05 for all); subjects characterized as paternal education level as elementary school, middle school, high school or secondary school had higher risk for screen time >2 h/d than those characterized as paternal education level as college school or high, odds ratioes were 1.29, 1.30 and 1.19, respectively (P<0.05 for all); subjects characterized as maternal education level as elementary school, middle school had higher risk for screen time >2 h/d than those characterized as maternal education level as college school or high, odds ratioes were 1.19 and 1.16 and, respectively (P<0.05 for all). CONCLUSION The prevalence of screen time >2 h/d is high; screen time at weekdays is longer than weekends, and there are significant differences among different sexes, urban or rural areas, living areas, self rating academic performance, parents education levels and physical activity groups.
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Abe K, Andreopoulos C, Antonova M, Aoki S, Ariga A, Assylbekov S, Autiero D, Barbi M, Barker GJ, Barr G, Bartet-Friburg P, Batkiewicz M, Bay F, Berardi V, Berkman S, Bhadra S, Blondel A, Bolognesi S, Bordoni S, Boyd SB, Brailsford D, Bravar A, Bronner C, Buizza Avanzini M, Calland RG, Cao S, Caravaca Rodríguez J, Cartwright SL, Castillo R, Catanesi MG, Cervera A, Cherdack D, Chikuma N, Christodoulou G, Clifton A, Coleman J, Collazuol G, Cremonesi L, Dabrowska A, De Rosa G, Dealtry T, Denner PF, Dennis SR, Densham C, Dewhurst D, Di Lodovico F, Di Luise S, Dolan S, Drapier O, Duffy KE, Dumarchez J, Dytman S, Dziewiecki M, Emery-Schrenk S, Ereditato A, Feusels T, Finch AJ, Fiorentini GA, Friend M, Fujii Y, Fukuda D, Fukuda Y, Furmanski AP, Galymov V, Garcia A, Giffin SG, Giganti C, Gizzarelli F, Gonin M, Grant N, Hadley DR, Haegel L, Haigh MD, Hamilton P, Hansen D, Hara T, Hartz M, Hasegawa T, Hastings NC, Hayashino T, Hayato Y, Helmer RL, Hierholzer M, Hillairet A, Himmel A, Hiraki T, Hirota S, Hogan M, Holeczek J, Horikawa S, Hosomi F, Huang K, Ichikawa AK, Ieki K, Ikeda M, Imber J, Insler J, Intonti RA, Irvine TJ, Ishida T, Ishii T, Iwai E, Iwamoto K, Izmaylov A, Jacob A, Jamieson B, Jiang M, Johnson S, Jo JH, Jonsson P, Jung CK, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Karlen D, Karpikov I, Katori T, Kearns E, Khabibullin M, Khotjantsev A, Kielczewska D, Kikawa T, Kim H, Kim J, King S, Kisiel J, Knight A, Knox A, Kobayashi T, Koch L, Koga T, Konaka A, Kondo K, Kopylov A, Kormos LL, Korzenev A, Koshio Y, Kropp W, Kudenko Y, Kurjata R, Kutter T, Lagoda J, Lamont I, Larkin E, Laveder M, Lawe M, Lazos M, Lindner T, Liptak ZJ, Litchfield RP, Li X, Longhin A, Lopez JP, Ludovici L, Lu X, Magaletti L, Mahn K, Malek M, Manly S, Marino AD, Marteau J, Martin JF, Martins P, Martynenko S, Maruyama T, Matveev V, Mavrokoridis K, Ma WY, Mazzucato E, McCarthy M, McCauley N, McFarland KS, McGrew C, Mefodiev A, Mezzetto M, Mijakowski P, Minamino A, Mineev O, Mine S, Missert A, Miura M, Moriyama S, Mueller TA, Murphy S, Myslik J, Nakadaira T, Nakahata M, Nakamura KG, Nakamura K, Nakamura KD, Nakayama S, Nakaya T, Nakayoshi K, Nantais C, Nielsen C, Nirkko M, Nishikawa K, Nishimura Y, Nowak J, O'Keeffe HM, Ohta R, Okumura K, Okusawa T, Oryszczak W, Oser SM, Ovsyannikova T, Owen RA, Oyama Y, Palladino V, Palomino JL, Paolone V, Patel ND, Pavin M, Payne D, Perkin JD, Petrov Y, Pickard L, Pickering L, Pinzon Guerra ES, Pistillo C, Popov B, Posiadala-Zezula M, Poutissou JM, Poutissou R, Przewlocki P, Quilain B, Radicioni E, Ratoff PN, Ravonel M, Rayner MAM, Redij A, Reinherz-Aronis E, Riccio C, Rojas P, Rondio E, Roth S, Rubbia A, Rychter A, Sacco R, Sakashita K, Sánchez F, Sato F, Scantamburlo E, Scholberg K, Schoppmann S, Schwehr J, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shah R, Shaikhiev A, Shaker F, Shaw D, Shiozawa M, Shirahige T, Short S, Smy M, Sobczyk JT, Sorel M, Southwell L, Stamoulis P, Steinmann J, Stewart T, Suda Y, Suvorov S, Suzuki A, Suzuki K, Suzuki SY, Suzuki Y, Tacik R, Tada M, Takahashi S, Takeda A, Takeuchi Y, Tanaka HK, Tanaka HA, Terhorst D, Terri R, Thakore T, Thompson LF, Tobayama S, Toki W, Tomura T, Touramanis C, Tsukamoto T, Tzanov M, Uchida Y, Vacheret A, Vagins M, Vallari Z, Vasseur G, Wachala T, Wakamatsu K, Walter CW, Wark D, Warzycha W, Wascko MO, Weber A, Wendell R, Wilkes RJ, Wilking MJ, Wilkinson C, Wilson JR, Wilson RJ, Yamada Y, Yamamoto K, Yamamoto M, Yanagisawa C, Yano T, Yen S, Yershov N, Yokoyama M, Yoo J, Yoshida K, Yuan T, Yu M, Zalewska A, Zalipska J, Zambelli L, Zaremba K, Ziembicki M, Zimmerman ED, Zito M, Żmuda J. Measurement of Muon Antineutrino Oscillations with an Accelerator-Produced Off-Axis Beam. PHYSICAL REVIEW LETTERS 2016; 116:181801. [PMID: 27203315 DOI: 10.1103/physrevlett.116.181801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Indexed: 06/05/2023]
Abstract
T2K reports its first measurements of the parameters governing the disappearance of ν[over ¯]_{μ} in an off-axis beam due to flavor change induced by neutrino oscillations. The quasimonochromatic ν[over ¯]_{μ} beam, produced with a peak energy of 0.6 GeV at J-PARC, is observed at the far detector Super-Kamiokande, 295 km away, where the ν[over ¯]_{μ} survival probability is expected to be minimal. Using a data set corresponding to 4.01×10^{20} protons on target, 34 fully contained μ-like events were observed. The best-fit oscillation parameters are sin^{2}(θ[over ¯]_{23})=0.45 and |Δm[over ¯]_{32}^{2}|=2.51×10^{-3} eV^{2} with 68% confidence intervals of 0.38-0.64 and 2.26-2.80×10^{-3} eV^{2}, respectively. These results are in agreement with existing antineutrino parameter measurements and also with the ν_{μ} disappearance parameters measured by T2K.
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