Tasiri na Clinical na Chen Intanet na Shenle-Gaming, don Rashin Tsarin Wasannin Yanar gizo a cikin DSM-5 tsakanin Adan Matasa (2019)

Int J Environ Res Public Health. 28 ga Oktoba, 2019. 16(21). 1: E4141. doi: 10.3390/ijerph16214141.

Ko CH 1,2,3 , Chen SH 4 , Wang CH 5 , Tsai WX 6 , Yen JY 7,8,9.

Abstract

Manufofi : Littafin Bincike da Ƙididdiga na Matsalolin Hankali, Bugu na Biyar (DSM-5) ya haɗa da sharuɗɗan ganewar asali don matsalar caca ta intanet (IGD). Wannan binciken ya kimanta (1) wuraren tantancewa, ganewar asali, da kimanta yawan masu kamuwa da cuta na Chen Internet Addiction Scale-Gaming Version (CIAS-G) don IGD a cikin DSM-5; da kuma (2) bambance-bambancen da ke cikin sakamakon CIAS-G da ƙananan sikelin tsakanin mutanen da ke da IGD, 'yan wasa na yau da kullun (RGs), da sauran batutuwa masu sarrafawa.

Hanyoyi: Mun ɗauki mahalarta 69 tare da IGD, RG 69, da kuma mahalarta 69 masu lafiya bisa ga tambayoyin bincike da likitan tabin hankali ya gudanar bisa ga ka'idojin DSM-5 IGD. Duk mahalarta sun kammala CIAS-G kuma an tantance su ta amfani da sikelin tasirin duniya na asibiti.

Sakamako: Mafi kyawun maki na tantancewa da gano cutar sune 68 ko fiye (ƙwaƙwalwa, 97.1%; takamaiman, 76.8%) da 72 ko fiye (ƙwaƙwalwa, 85.5%; takamaiman, 87.0%) ga IGD bisa ga ka'idojin DSM-5, bi da bi. Maki na yankewa 76 ko fiye yana da mafi girman lamba da ake buƙata don gano cutar ba daidai ba kuma shine maki na yankewa mafi kyau da aka kiyasta.

Kammalawa: Ana iya amfani da wurin yanke tantancewa don gano mutanen da ke da IGD don ƙarin tambayoyi na bincike don tabbatar da ganewar asali a yanayin asibiti ko don kimanta cututtuka na matakai biyu. Wurin yankewa na bincike yana ba da ganewar asali na ɗan lokaci na IGD lokacin da ba a sami tambayoyin bincike ba. Ana iya amfani da wurin yankewa da aka kiyasta yawan yaduwar cutar don kimanta yawan IGD a cikin manyan binciken cututtuka lokacin da ƙarin tambayoyin bincike ba su da amfani. Amfanin asibiti da na cututtuka na CIAS-G yana buƙatar ƙarin bincike.

KALMOMI MAI MUHIMMANCI: CIAS; DSM-5; matsalar caca ta intanet; hankali; takamaiman bayani

PMID: 31661785

DOI: 10.3390/ijerph16214141