J Behav Addict. 2016 Aug 8: 1-10.
Rho MJ1,2, Jeong JE3, Chun JW3, Cho H3, Jung DJ3, Choi IY1,2, Kim DJ3.
lē faʻatino
Faʻamatalaga ma sini
Ole faʻafitauli ole taʻaloga ole Initaneti ole mea taua ole soifuaga lautele e faʻateleina ai tupe faʻaalu mo tagata taʻitoʻatasi ma malo. O lenei suʻesuʻega na faailoa ai valoʻaga ma faʻataʻitaʻiga o le faʻafitauli o taʻaloga i luga ole Initaneti
Metotia
Na faʻaputuputu faʻamaumauga mai suʻesuʻega i luga ole laiga i le va o Novema 26 ma Tesema 26, 2014. Na matou faʻamaonia le 3,881 'au taʻaloga i luga ole Initaneti mai le aofaʻi o 5,003 tali. O le aofaʻi o 511 tagata auai na tofia i le faʻafitauli Initaneti vaega faʻaaoga tagata e tusa ai ma le Diagnostic ma Fuainumera Tusi Lesona o Mental Faʻaletonu Initaneti faʻafitauli o faʻaletonu o faʻafitauli. Mai le 3,370 tagata na totoe, na matou faʻaaogaina le togi tutusa e atiaʻe ai se faʻatusatusaga masani o tagata e 511. I mea uma, 1,022 tagata auai na auʻiliʻiliina faʻaaogaina le chi-square otometi fegasoloaʻiga detector (CHAID) algorithm.
i'uga
E tusa ai ma le CHAID algorithm, e ono taua valoʻaga na mauaina: tau taʻaloga (50%), averesi taʻaloga taʻaloga vaiaso (23%), offline Initaneti taʻaloga afioaga fonotaga fonotaga (13%), averesi faaiuga vaiaso ma aso malolo taʻaloga taimi (7%), tulaga faʻaipoipoga (4%), ma oe lava manatu o le tagofia o mea i le Initaneti faʻaaogaina (3%). I se faʻaopopoga, tolu faʻataʻitaʻiga mai le ono faʻavasega tulafono na suʻesuʻeina: taugata-faʻaaogaina, fegalegaleai, ma naʻo taʻaloga.
iʻuga
Lenei suʻesuʻega maua ai faʻatonuga mo lumanaʻi galuega i luga o le suʻega o faʻafitauli Initaneti faʻaaogaina taʻaloga i tagata matutua.
FUAFUAGA: Detector fesoʻotaʻiga otometi chi-sikuea; filifiliga faʻaiʻuga o laʻau; mamanu; tagata vavalo; faʻaaogaina faʻafitauli Initaneti faʻaaogaina
PMID: 27499227
FAIA: 10.1556/2006.5.2016.051
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