Kev Tiv Thaiv Kev Tiv Thaiv Txog Kev Tiv Thaiv hauv Internet hauv Suav University cov tub ntxhais kawm: Ib qho kev qhia txog kev tshawb nrhiav (2018)

J Behav Addict. 2018 Jul 16: 1-14. doi: 10.1556 / 2006.7.2018.53.

Li L1, Xu DD2,3, Chai JX4,5, Wang D6, Li L7, Zhang L6, Lu L2, Ng CH8, Ungvari GS9, Mei SL10, Xiang YT2.

Abstract

Tom qab thiab aims

Kev tiv thaiv kev tiv thaiv hauv Internet (IAD) feem ntau ntawm cov tub ntxhais kawm ntawv hauv university. Muaj ntau cov kev tshawb fawb tau soj ntsuam cov IAD hauv Suav University cov tub ntxhais kawm ntawv, tab sis cov kev tshwm sim tau tsis sib haum. Qhov no yog ib qhov kev ntsuas ntawm qhov IAD thiab nws cov khoom txuam nrog hauv cov tub ntxhais kawm Suav.

txoj kev

Ob phau ntawv Askiv (PubMed, PsycINFO, thiab Embase) thiab Suav (Wan Fang Database thiab Suav National Knowledge Infrastructure) databases tau kaw thiab nws tus kheej tshawb nrhiav los ntawm lawv qhov kev xav txog thaum Lub Ib Hlis 16, 2017.

tau

Xog kev tshawb 70 tag nrho 122,454 cov tub ntxhais kawm ntawv tau muab tso rau hauv qhov ntsuas. Siv cov qauv siv los ua qauv, qhov sib npaug tag nrho ntawm IAD yog 11.3% (95% CI: 10.1%-12.5%). Thaum siv 8-Tshawb Nrhiav Cov Lus Nug Txog Cov Hluas, 10-hloov kho Cov Lus Nug Txog Kev Ntsuas Hluav Taws Xob, 20-khoom hauv Internet Kev Tshuaj Txhaum, thiab 26-khoom Chen Hauv Internet Kev Nplai, cov kev muaj zog ntawm IAD yog 8.4% (95% CI: (6.7% -10.4%), thiab 9.3% (95% CI: 7.6% -11.4%), 11.2%, 95% feem. Cov kev tshawb fawb subgroup qhia tau tias qhov kev sib tw ntawm IAD yog qhov sib txuam nrog kev ntsuas ntsuas (Q = 8.8, p =. 14.3). Txiv neej poj niam txiv neej, qib siab dua, thiab hauv nroog abode kuj tseem ceeb nrog IAD. Lub zog ntawm IAD kuj tau siab dua nyob rau sab hnub tuaj thiab central hauv Tuam Tshoj tshaj li nyob rau sab qaum teb thiab thaj chaw (14.0% vs. 95%, Q = 10.6, p =. 18.4).

cov lus xaus

IAD yog nquag muaj cov tub ntxhais kawm Suav. Cov tswv yim tsim nyog rau kev tiv thaiv thiab kev kho mob ntawm IAD hauv cov pejxeem no xav tau ntau dua.

KEYWORDS: Suav teb; Kev tiv thaiv hauv Internet; meta-analysis; cov menyuam kawm ntawv

PMID: 30010411

DOI: 10.1556/2006.7.2018.53