Internet addiction and sleep problems: A systematic review and meta-analysis

Alimoradi, Zainab; Lin, Chung‐Ying; Broström, Anders; Bülow, Pia H.; Bajalan, Zahra; Griffiths, Mark D.; Ohayon, Maurice M.; Pakpour, Amir H.

doi:10.1016/j.smrv.2019.06.004

Cited by 311 publications

(238 citation statements)

References 63 publications

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“…Delayed bedtimes and late waking times may further lead to the rhythm desynchronization and impact school performance [15]. Other potential mechanisms in disrupting sleep may include psychological stimulation (i.e., excited mood due to use of social media) [16], light-emitting screens (i.e., light may suppress sleep-promoting hormones like melatonin that are typically elevated before bedtime) [17], and shortened sleep duration [18]. Similar considerations exist for online gaming.…”

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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297

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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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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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297

172

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“…Therefore, it is important to investigate the relationship between sleep and IA. Some studies have reported an association between IA and depression and sleep disturbance [22,23], nighttime sleep duration and subjective insomnia [24], poor sleeping habits [25], smartphone dependence [26], and sleep quality [27].…”

Section: Introductionmentioning

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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“…Studies have reported bidirectional associations between insomnia symptoms and depression/anxiety (Jansson-Fröjmark and Lindblom 2008;Luo et al 2013). Sleep problems are a significant health concern among adolescents, and it has been associated with technology use (Cheung and Wong 2011;Sami et al 2018;Zhang et al 2017; see Alimoradi et al (2019) for a recent systematic review and meta-analysis). Poor sleep quality prevalence rates have been reported in various studies.…”

mentioning

confidence: 99%

The Associations between Problematic Social Networking Site Use and Sleep Quality, Attention-Deficit Hyperactivity Disorder, Depression, Anxiety and Stress

Hussain

Griffiths

2019

Int J Ment Health Addiction

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Social networking sites (SNSs) are now used by billions of users worldwide and can help facilitate communication and the sharing of information. However, there is evidence that problematic SNS use (PSNSU) can have negative effects on health. The present study examined the associations between PSNSU, sleep quality, attention-deficit/hyperactivity disorder (ADHD), depression, anxiety and stress among SNS users. A total of 638 SNS users (mean age = 32.03 years, SD = 10.08) completed an online survey comprising instruments assessing SNS addiction, sleep quality, ADHD, depression, anxiety and stress. Regression analysis indicated that the factors of age (β = − .24, p < .01), relationship status (i.e., being in a relationship) (β = − .09, p < .05), ADHD (β = .43, p < .01) and anxiety (β = .12, p < .01) explained 23.9% of the variance in problematic SNS use. Bivariate correlations identified moderate positive correlations between PSNSU, poor

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Internet addiction and sleep problems: A systematic review and meta-analysis

Cited by 311 publications

References 63 publications

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

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

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

The Associations between Problematic Social Networking Site Use and Sleep Quality, Attention-Deficit Hyperactivity Disorder, Depression, Anxiety and Stress

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