Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students

Yam, Chun Wai; Pakpour, Amir H.; Griffiths, Mark D.; Yau, Wai Yan; Lo, Cheuk Long Matthew; Ng, Jennifer M.T.; Lin, Chung‐Ying; Leung, Howard

doi:10.1007/s11126-018-9610-7

Cited by 151 publications

(155 citation statements)

References 36 publications

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“…The psychometric properties of the SABAS and the Chinese SABAS have been found to be satisfactory. [20][21][22][23][24] The present study also showed that the Chinese SABAS had good internal consistency (α = 0.88).…”

Section: Smartphone Application-based Addiction Scale (Sabas)supporting

confidence: 72%

Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak

Chen

O’Brien

et al. 2020

Preprint

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Objective: The novel coronavirus disease 2019 (COVID-19) pandemic, and its resulting social policy changes, may result in psychological distress among schoolchildren with overweight. This study thus aimed to (1) compare psychological distress (including fear of COVID-19 infection, stress, anxiety, and depression), perceived weight stigma, and problematic internet-related behaviors between schoolchildren with and without overweight; (2) assess whether perceived weight stigma and problematic internet-related behaviors explained psychological distress.Methods: Schoolchildren (n=1 357; mean age=10.7 years) with overweight (n=236) and without overweight (n=1 121) completed an online survey assessing their fear of COVID-19 infection, stress, anxiety, depression, perceived weight stigma, problematic smartphone application use, problematic social media use, and problematic gaming.Results: Schoolchildren with overweight had significantly higher levels of COVID-19 infection fear, stress, depression, perceived weight stigma, and problematic social media use than those without overweight. Regression models showed that perceived weight stigma and problematic internet-related behaviors were significant predictors of psychological distress among schoolchildren with overweight.Conclusion: Strategies to manage perceived weight stigma and problematic internet-related behaviors may have a positive influence on mental health among schoolchildren with overweight under health-threatening circumstances, such as the current COVID-19 pandemic.

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Section: Smartphone Application-based Addiction Scale (Sabas)supporting

confidence: 72%

Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak

Chen

O’Brien

et al. 2020

Preprint

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“…Fifth, our survey population was limited to students in a single prefecture in Japan; thus, it was a geographically limited population, so the results may lack generalizability. Finally, we did not investigate speci c Internet-use disorders [4,[63][64][65][66][67][68][69], which need to be studied in detail for preventive measures to be developed.…”

Section: Discussionmentioning

confidence: 99%

Relationship between Internet addiction and sleep disturbance in high school students: a cross-sectional study

Tokiya

Itani

Otsuka

et al. 2020

Preprint

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Background: The increase in the number of Internet users has increased Internet dependence worldwide. In adolescents, this dependence may interfere with sleep, which is important for the development of psychophysiological capabilities. However, few large-scale surveys have described the relationship between Internet addiction (IA) and sleep disturbance using standardized questionnaires. We conducted a survey in one prefecture in Japan to determine the relationship between sleep disturbance and IA in adolescents based on the categories of the Young Diagnostic Questionnaire (YDQ).Methods: In 2016, high school students (N=10,405, age range: 15–16 years) in all 54 daytime high schools in the selected prefecture were surveyed using a self-administered questionnaire. Participants with scores > 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index were defined as having a sleep disturbance. IA was evaluated using the YDQ: Participants with five to eight YDQ items present were classified as having IA; those with three or four items present were classified as “at risk of IA”; and those with two or less YDQ items were classified as “non-IA”. Multiple logistic regression analysis was performed with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments for eight other variables.Results: High YDQ scores were associated with a high prevalence of sleep disturbance in boys and girls. These findings persisted after controlling for other factors in the multiple regression model.Conclusions: Among Japanese adolescents, there was a significant independent relationship between IA and sleep disturbance.

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“…A cut-off score over 19 indicates problematic social media use [51]. The BSMAS has satisfactory psychometric properties with high internal consistency (α = 0.819) and low floor and ceiling effects [34]. BSMAS scores correlated with IGDS9-SF scores and assessments of anxiety and depression [34].…”

Section: The Bergen Social Media Addiction Scale (Bsmas)mentioning

confidence: 99%

“…The current preliminary study was designed to explore how severities of IGD and SMA relate to sleep quality and emotional distress in a population at risk of internet addiction (i.e., young adults) [34] in order to complement prior studies of primary and secondary school students [1,35]. We hypothesized that both severities of IGD and SMA would relate to poorer sleep quality and more emotional distress.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress

Wong

Potenza

et al. 2020

IJERPH

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273

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Internet gaming and social media use are prevalent and integral to many people’s lives. However, excessive engagement in either could lead to negative health impacts. This study aimed to investigate relationships between severities of internet gaming disorder (IGD) and problematic social media use (operationalized as social media addiction; SMA) with sleep quality and psychological distress among young adults. A cross-sectional study with snowball sampling was conducted among Hong Kong university students in 2019. All participants (n = 300; mean (SD) age = 20.89 (1.48); 122 males (40.67%)) responded to an online survey that included Chinese versions of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scales (DASS-21). Multiple linear regressions demonstrated that IGDS-SF9 scores demonstrated associations with psychological distress measures (standardized coefficient (β) = 0.295 for depression, 0.325 for anxiety, 0.339 for stress, all p < 0.001). BSMAS scores showed similar albeit numerically less robust associations (β = 0.235 for depression, p < 0.001; 0.219 for anxiety, p = 0.001; 0.262 for stress, p < 0.001). BSMAS scores demonstrated associations with poorer sleep quality (β = 0.292; p < 0.001) and IGDS9-SF scores (β = 0.157; p = 0.024) showed a significantly less robust association (p = 0.01 for comparing the two βs). These findings suggest that both severities of IGD and SMA associate with more psychological distress and poorer sleep quality, although the strengths of associations may differ.

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Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students

Cited by 151 publications

References 36 publications

Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak

Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak

Relationship between Internet addiction and sleep disturbance in high school students: a cross-sectional study

Relationships between Severity of Internet Gaming Disorder, Severity of Problematic Social Media Use, Sleep Quality and Psychological Distress

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