Lub koom haum ntawm kev tiv thaiv hauv internet thiab kev puas siab ntsws sib koom tes: ib qho kev tshawb nrhiav (2014)

Roger C Ho, Melvyn WB Zhang, Tammy Y Tsang, Anastasia H Toh, Fang yias, Yanxia Lu, Cecilia Cheng, Paul S Yip, Lawrence T Lam, Ching-Txiv neej Lai, Hiroko Watanabe thiab Kwok-Kei Mak

Abstract (provisional)

Tom qab

Qhov kev tshawb fawb no ntsuam xyuas lub koom haum ntawm Kev Sib Thooj Zog (IA) thiab kev sib koom tes ntawm kev mob hlwb hauv cov ntawv nyeem.

txoj kev

Meta-analyzes tau tshawb fawb ntawm koog haujlwm, kauj-tswj thiab kev tshawb fawb txog kev sib tham uas tshawb xyuas kev sib raug zoo ntawm IA thiab kev puas siab ntsws. Cov kev tshawb fawb tau muab rho tawm los ntawm cov kab ntawv loj hauv online. Cov menyuam hauv qab no yog cov hauv qab no: 1) kev tshawb fawb ntawm tib neeg qhov kev kawm; 2) IA thiab psychiatric co-morbidity raug soj ntsuam los ntawm cov lus nug; thiab 3) muaj cov ntaub ntawv txaus los xam cov nyhuv loj. Cov qauv siv rau kev sib tw tau raug siv los xam cov aggregate prevalence thiab qhov sib txawv ntawm qhov sib tw (OR).

tau

Yim kev tshawb fawb suav nrog 1641 cov neeg mob uas tau mob los ntawm IA thiab 11210 kev tswj hwm tau suav nrog. Peb cov kev ntsuas pom tau hais tias kev sib koom ua ke tseem ceeb ntawm IA thiab kev haus cawv (LOSSIS = 3.05, 95% CI = 2.14-4.37, z = 6.12, P <0.001), ua kom pom tseeb thiab muaj kev cuam tshuam (OR = 2.85, 95% CI = 2.15- 3.77, z = 7.27, P <0.001), kev nyuaj siab (LOSSIS = 2.77, 95% CI = 2.04-3.75, z = 6.55, P <0.001) thiab ntxhov siab (LOSSIS = 2.70, 95% CI = 1.46-4.97, z = 3.18, P = 0.001).

cov lus xaus

IA yog kev txuam nrog kev quav dej cawv, kev lag luam thiab kev nyuab siab, kev nyuab siab thiab kev ntxhov siab.

Tag nrho tsab xov xwm no muaj nyob rau hauv provisional PDF. Cov luam ntawv PDF thiab HTML tag nrho muaj nyob hauv ntau lawm.