Addict Health. 2017 Fall;9(4):243-252.
Modara F1, Rezaee-Nour J2, Sayehmiri N3, Maleki F3, Aghakhani N4, Sayehmiri K5, Rezaei-Tavirani M6.
Abstract
Tom qab:
Hauv internet muaj cov cim tshwj xeeb uas muaj xws li yooj yim ntawm kev nkag, yooj yim ntawm kev siv, tsis tshua muaj nqi, tsis qhia npe, thiab nws txoj kev nyiam uas ua rau muaj teeb meem xws li internet kev tiv thaiv. Ntau cov txheeb cais tau raug tshaj tawm txog kev tiv thaiv hauv internet, tab sis tsis muaj ib qho kev kwv yees txog kev loj hlob ntawm kev tiv thaiv hauv Internet hauv Iran. Lub hom phiaj ntawm txoj kev tshawb no yog los soj ntsuam qhov kev loj hlob ntawm kev tiv thaiv hauv Internet hauv Iran siv txoj kev ntsuas meta.
Txoj kev:
Ntawm thawj theem, los ntawm kev tshawb nrhiav hauv scientific databases xws li Magiran, SID, Scopus, ISI, Embase thiab siv cov ntsiab lus xws li Internet tiv, 30 cov khoom raug xaiv. Qhov tshwm sim ntawm txoj kev tshawb no ua ke nrog siv meta-analysis method (random teebmeem qauv). Qhov ntsuam xyuas ntawm cov ntaub ntawv tau ua siv R thiab Stata software.
Tshawb nrhiav:
Raws li 30 cov kev tshawb fawb thiab tus qauv loj ntawm 130531, qhov kev loj hlob ntawm kev siv internet hauv kev ua raws qauv ntawm cov qauv tsis yog 20% [16-25 cog qoob loo (CI) ntawm 95%]. Lub meta regression qauv tsom t-kauj tus qauv ntawm Internet yees kev loj hlob tus nqi ntawm Iran ntau ntawm 2006 rau 2015.
xaus:
Txoj kev tshawb no pom tau tias cov kev tiv thaiv ntawm kev siv Internet hauv Iran zoo li tsawg. Yog li ntawd, qhov tseem ceeb ntawm kev txheeb xyuas, kev kho, thiab kev tiv thaiv ntawm cov hnub nyoog pawg uas nyob ntawm qhov kev pheej hmoo raug saib xyuas los ntawm cov saib xyuas thiab cov neeg muaj feem xyuam nrog.
KEYWORDS: Txhim Kho; Internet; Meta-tsom xam; Prevalence; Cov tub ntxhais kawm
PMID: 30574288
PMCID: PMC6294487
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