Prevalence, associated factors and impact of loneliness and interpersonal problems on internet addiction: A study in Chiang Mai medical students

Prevalence and Psychiatric Risk Factors of Excessive Internet Use among Northern Bangladeshi Job-Seeking Graduate Students: A Pilot Study

“…These were excessive Internet users (scores with ≥ 60 in IAT) and non-excessive Internet users (score < 60). Adequate and acceptable reliability and validity have been demonstrated for the scale previously (Adiele and Olatokun 2014;Simcharoen et al 2018). Very good internal consistency was obtained in the present sample (Cronbach's α = 0.87).…”

“…Common predictors of IA include socio-demographic factors (e.g., age, gender, residence, relationship status), as well as other factors including sleep disturbance, lack of physical activity, and job status (Afrin et al 2017;Bener et al 2018;Bener and Bhugra 2013;Islam and Hossin 2016;Lai and Kwan 2017;Vigna-Taglianti et al 2017;Younes et al 2016). Generalized IA has also been associated with a wide variety of excessive online behaviors including using the internet for academic purposes, communicating via social networking sites, online gaming, accessing online movie and music sites, viewing online sexually explicit materials and pornography, online gambling, and online shopping (Bener et al 2018;Hoare et al 2017;Simcharoen et al 2018;Vigna-Taglianti et al 2017).…”

“…A study comprising six Asian countries found that the prevalence rate of IA using IAT with a cutoff score of ≥ 70 ranged between 14 and 51% (Mak et al 2014). The global prevalence of problematic Internet use, using different criteria and tools, has been shown to range between 0.03 to 36.7% (Adiele and Olatokun 2014;Afrin et al 2017;Dalbudak et al 2014;Dieris-Hirche et al 2017;Islam and Hossin 2016;Karim and Nigar 2014;Lee et al 2016;Simcharoen et al 2018;Uddin et al 2016;Younes et al 2016).…”

The assessment of internet addiction in Bangladesh: Why are prevalence rates so different?

“…The prevalence rates of IA among different Bangladeshi samples have been reported to be between 4% and 49.7% using the IAT (see Table 1). Recent studies from other Asian countries have reported prevalence rates of 17% ('problematic internet use') in Delhi, India (N=6291 students; Balhara et al, 2018), 0.8% ('severe internet addiction') in Southern India (N=1763 medical students; Anand et al, 2018), 8.2% ('moderate internet addiction'; no severe cases) in Northern India (N=1721 doctors; Grover et al, 2019), 9.2% ('at-risk internet addiction'; no severe cases) in Southern India (N=310 workplace employees; Shrivastava et al, 2018) and 0.6% ('severe internet addiction') in Chiang Mai, Thailand (N=324 medical students; Simcharoen et al, 2018). Worldwide, rates of problematic internet use and/or IA have reported between 4.2% and 26.8% when utilizing different assessment instruments and cutoff scores (Vigna-Taglianti et al, 2017).…”

Interrelation Of Inclusion In Interne Environment And Social-Psychological Adaptation Of Youth

“…The main risks of virtual socialization of youth are characterized (Boldakova, 2015;Castellacci, Tveito, 2018;Ivanova, 2015;Stepanova, Tokar, 2017;Zaslavskaya, 2014). Many foreign studies are dedicated to the study of the psychological phenomenon of the Internet dependence, most often understood as broadly as possible (Lin, Wu, You, Hu & Yen, 2018;Shi, Wang, Zou, 2017;Simcharoen, Pinyopornpanish, Haoprom, Kuntawong, Wongpakaran, Wongpakaran, 2018;Wegmann, Oberst, Stodt, Brandac, 2017;Xin, Xing, Pengfei, Houru, Mengcheng, Hong, 2018).…”