OBJECTIVE: To investigate the relationship between Facebook addiction and mental health among high school students. MATERIAL AND METHOD: This cross-sectional analytic study was performed among 972 high school students from four provinces associated with high economic prosperity in Thailand: Bangkok, ChiangMai, Ubon Ratchathani and Songkhla, utilizing a multistage cluster sampling technique. Facebook addiction was assessed using the Thai version of the Bergen-Facebook Addiction Scale (Thai-BFAS), while a Thai version ofthe General Health Questionnaire (Thai GHQ-28) was used for mental health evaluation. The relationship between Facebook addiction and mental health was analyzed through multiple logistic regressions. RESULTS: The prevalence of Facebook addiction and abnormal mental health were 41.9% (95% CI; 38.6, 45.2), and 21.9% (95% CI; 19.2, 24.8), respectively. After adjustment for confounding factors (sufficiency of household income, school location, level of education, GPAX learning deficits and attention deficit hyperactivity disorder), the individuals identified as having Facebook addiction were discovered to be at a high risk of developing abnormal general mental health (ORadj = 1.7, 95% CI: 1.1, 2.4), somatic symptoms (OR = 1.2, 95% CI: 0.9, 1.7), anxiety and insomnia (ORadj = 1.3, 95% CI: 0.9, 1.8), social dysfunction (OR = 1.5, 95% CI: 1.1, 2.1) and severe depression (ORadj = 1.5, 95% CI: 1.0, 2.2). Moreover; there were pronounced trends of increasing risk according to the level of Facebook addiction (Ptrend < 0.05). CONCLUSION: It was found that Facebook addiction among high school students could be associated with abnormal, general mental health status, somatic symptoms, anxiety & insomnia, social dysfunction, and severe depression. Therefore, it is essential that the relevant authorities educate young people about the mental health impacts linked with Facebook addictive usage and impose appropriate public health policies by screening Facebook addiction and mental health issues in risk groups.
OBJECTIVE: To investigate the relationship between Facebook addiction and mental health among high school students. MATERIAL AND METHOD: This cross-sectional analytic study was performed among 972 high school students from four provinces associated with high economic prosperity in Thailand: Bangkok, ChiangMai, Ubon Ratchathani and Songkhla, utilizing a multistage cluster sampling technique. Facebook addiction was assessed using the Thai version of the Bergen-Facebook Addiction Scale (Thai-BFAS), while a Thai version ofthe General Health Questionnaire (Thai GHQ-28) was used for mental health evaluation. The relationship between Facebook addiction and mental health was analyzed through multiple logistic regressions. RESULTS: The prevalence of Facebook addiction and abnormal mental health were 41.9% (95% CI; 38.6, 45.2), and 21.9% (95% CI; 19.2, 24.8), respectively. After adjustment for confounding factors (sufficiency of household income, school location, level of education, GPAX learning deficits and attention deficit hyperactivity disorder), the individuals identified as having Facebook addiction were discovered to be at a high risk of developing abnormal general mental health (ORadj = 1.7, 95% CI: 1.1, 2.4), somatic symptoms (OR = 1.2, 95% CI: 0.9, 1.7), anxiety and insomnia (ORadj = 1.3, 95% CI: 0.9, 1.8), social dysfunction (OR = 1.5, 95% CI: 1.1, 2.1) and severe depression (ORadj = 1.5, 95% CI: 1.0, 2.2). Moreover; there were pronounced trends of increasing risk according to the level of Facebook addiction (Ptrend < 0.05). CONCLUSION: It was found that Facebook addiction among high school students could be associated with abnormal, general mental health status, somatic symptoms, anxiety & insomnia, social dysfunction, and severe depression. Therefore, it is essential that the relevant authorities educate young people about the mental health impacts linked with Facebook addictive usage and impose appropriate public health policies by screening Facebook addiction and mental health issues in risk groups.
Authors: Ariel Shensa; César G Escobar-Viera; Jaime E Sidani; Nicholas D Bowman; Michael P Marshal; Brian A Primack Journal: Soc Sci Med Date: 2017-04-24 Impact factor: 4.634
Authors: Ji-Bin Li; Joseph T F Lau; Phoenix K H Mo; Xue-Fen Su; Jie Tang; Zu-Guo Qin; Danielle L Gross Journal: J Behav Addict Date: 2017-12-01 Impact factor: 6.756