Resp Psychiatry. 2019 Nov 1: 112673. Doi: 10.1016 / j.psychres.2019.112673
Ünal-Aydın P1, Balekçı K2, Sönmez İ2, Aydın O3.
inahaneloang
Ka ts'ebeliso e atileng ea marang-rang kajeno, ho entsoe lithuto tse ngata mabapi le ts'ebeliso ea liwebsaete tsa liwebsaete tsa sechaba (SNS). Leha ho na le lingoliloeng tse ntseng li hola ka litlamorao tsa SNS bophelong ba motho, ho na le mehato e fokolang e atlehileng ea kalafo bakeng sa bokhoba ba SNS. Boithuto ba rona bo ikemiselitse ho hlakisa karolo e ka bang teng ea temoho ea maikutlo ho nts'etsopele ea bokhoba ba SNS le ho fana ka maikutlo a maano a macha a ho fokotsa mathata a hlahang bokhoba ba SNS. Kakaretso ea batho ba 337 ba kentse letsoho thutong ena. Ho ile ha tsamaisoa foromo ea data ea sociodemographic, Teko ea ho Bala Kelello mahlong (RMET), le Social Media Addiction Scale (SMAS). Liphetho li senotse boteng ba bofokoli ba ho lemoha maikutlo har'a batho ba nang le bokhoba ba SNS, mabapi le bao e seng makhoba. Lintlha tse ntle le tse mpe tsa RMET li ne li amahanngoa le bokhoba ba SNS ka tsela e mpe. Ho feta moo, lintlha tse mpe tsa RMET li boletse esale pele
LINKOTSO: Ho lemalla; Ho lemoha maikutlo; Ponahalo ea sefahleho; Inthanete; Mecha ea litaba ea sechaba; Websaete ea metsoalle
PMID: 31744646
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