J Behav Addict. 2018 Tej zaum 23: 1-12. doi: 10.1556 / 2006.7.2018.28.
Suab Hmoob1, Lee D2, Nam CR3, Kim DY2, Chaw Ua Si S4, Kwon JG4, Kweon YS1, Lee Y5, Kim DJ6, Choi JS3,7.
Abstract
Tom qab thiab cov hom phiaj
Cov kev sib txuas lus sib txuas ntawm cov tub ntxhais ntse los ntawm lub lag luam tsis muaj zog ntawm cov ciaj ciam ntawm cov computers thiab cov xov tooj ntawm tes. Peb tau tshawb nrhiav seb puas muaj teeb meem ntawm smartphone los ntawm cov neeg siv computer raws li yog tub ntxhais siv siv latent class analysis (LCA).
txoj kev
Tom qab tau txais kev pom zoo lawm, 555 Korean middle school tsev kawm ntawv tau ua tiav cov kev tshawb fawb txog kev siv gaming, Internet siv, thiab kev siv smartphone siv. Lawv kuj ua tiav ntau yam paj hlwb. LCA tau ua rau tag nrho pawg neeg thiab los ntawm poj niam los txiv neej. Ntxiv nrog rau ANOVA thiab χ2 kev ntsuam xyuas, kev ntsuam xyuas tom qab tau ua tiav los kuaj xyuas qhov txawv ntawm cov LCA subgroups.
tau
Hauv tag nrho pawg (n = 555), plaub qhov tseem ceeb tau teev tseg: cov neeg siv ob-teeb meem (49.5%), cov siv Internet muaj teeb meem (7.7%), cov siv smartphone muaj teeb meem (32.1%), thiab cov neeg siv "noj qab haus huv" (10.6%). Dual-teeb meem cov neeg siv cov qhab nia siab tshaj plaws rau kev coj tus cwj pwm thiab lwm yam kev xav. Cov tub los ntxhais-txwv nyob LCA qhia peb peb kab lus rau txhua tus tub los ntxhais. Nrog ob-qhov teeb meem thiab kev noj qab nyob zoo hauv pawg raws li muaj, cov teeb meem hauv Is Taws Nem cais tau faib rau cov txiv neej, qhov teeb meem teeb meem smartphone me me tau muab faib rau cov poj niam hauv pawg tub los ntxhais-tub rog LCA. Yog li, cov qauv sib txawv tau pom raws li poj niam txiv neej nrog qhov feem ntau ntawm cov teeb meem sib npaug ntawm cov teeb meem ob sab hauv cov txivneej. Thaum kev twv txiaj tau cuam tshuam nrog kev siv teebmeem hauv Is Taws Nem nyob rau hauv Cov txivneej, kev tsim txom thiab lub zog ua kom pom kev sib raug zoo nrog kev siv smartphone muaj teeb meem hauv cov pojniam.
cov lus xaus
Ib qho kev nce rau hauv cov xov xwm ntawm cov xov xwm muaj feem xyuam nrog cov teeb meem tshwm sim nyob rau hauv ntau qhov kev nyuaj siab ntau. Gaming yuav ua si lub luag hauj lwm tseem ceeb heev rau cov txiv neej ua ib qho teeb meem hauv Internet. Lub siab ua kom muaj kev sib daj sib deev thiab kev sib cav sib ceg nyob rau hauv peb cov poj niam problematic smartphone siv cov kev tshawb fawb ntxiv.
KEYWORDS: Internet; kev quav tshuaj; kev ua si; poj niam txiv neej; latent class analysis; smartphone
PMID: 29788762
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