The problematic use of social networking sites associates with elevated symptoms in patients with major depressive disorder

Aydın, Orkun; Çökmüş, Fikret Poyraz; Balıkçı, Kuzeymen; Sücüllüoğlu-Dikici, Didem; Ünal-Aydin, Pınar

doi:10.1177/0020764020919791

Cited by 11 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The prevalence of PSMU was highly variable in previous studies (range 3.5%-44.8%) [ 4 , 8 , 34 , 35 ], which might result from the different study populations, measurement tools, and cutoff points. In line with previous studies [ 9 – 11 , 34 ], problematic users spent more time on social media, scored higher in all PSMU symptoms, and had much higher levels of depression, anxiety, and stress. Hence, timely monitoring and intervention for PSMU are in urgent need.…”

Section: Discussionsupporting

confidence: 90%

“…Numerous studies report that PSMU exhibits substantial association with mental distress such as depression, anxiety, and impaired sleep [ 9 – 14 ]. However, the assessment of the relationship between PSMU and mental distress in previous studies has been predominantly limited to the use of total scores of measurement instruments (e.g., calculating total scores on six addiction components and interpreting the total score as the severity of PSMU).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis

Peng

Liao

2023

BMC Psychiatry

View full text Add to dashboard Cite

Backgrounds Components of addiction (salience, tolerance, mood modification, relapse, withdrawal, and conflict) is the most cited theoretical framework for problematic social media use (PSMU). However, studies criticized its ability to distinguish problematic users from engaged users. We aimed to assess the association of the six criteria with depression, anxiety, and stress at a symptom level. Methods Ten thousand six hundred sixty-eight participants were recruited. Bergen Social Media Addiction Scale (BSMAS) was used to detect six addiction components in PSMU. We applied the depression-anxiety-stress scale to assess mental distress. Latent profile analysis (LPA) was conducted based on BSMAS items. Network analysis (NA) was performed to determine the symptom-symptom interaction of PSMU and mental distress. Results (1) Social media users were divided into five subgroups including occasional users (10.6%, n = 1127), regular users (31.0%, n = 3309), high engagement low risk users (10.4%, n = 1115), at-risk users (38.1%, n = 4070), and problematic users (9.8%, n = 1047); (2) PSMU and mental distress varied markedly across subgroups. Problematic users had the most severe PSMU, depression, anxiety, and stress symptoms. High engagement users scored high on tolerance and salience criteria of PSMU but displayed little mental distress; (3) NA showed conflict and mood modification was the bridge symptoms across the network, while salience and tolerance exhibited weak association with mental distress. Conclusions Salience and tolerance might not distinguish engaged users from problematic users. New frameworks and assessment tools focusing on the negative consequences of social media usage are needed.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis

Peng

Liao

2023

BMC Psychiatry

View full text Add to dashboard Cite

show abstract

“…According to the literature, the new way of experiencing social and interpersonal relationships has been found to have some repercussions on subjective well-being and individual functioning. For instance, some studies showed that the large use of SNSs might induce social comparisons and envy (Verduyn et al 2017 ), jealousy in romantic relationships (Elphinston and Noller 2011 ), and large levels of depression (Aydin et al 2020 ; Seabrook et al 2016 ; Tandoc et al 2015 ), stress (Chen and Lee 2013 ), and anxiety (Seabrook et al 2016 ; Zaffar et al 2015 ). In addition, the extensive use of social media has been associated with emotional exhaustion (Sriwilai and Charoensukmongkol 2016 ) and a reduced ability to accurately recognizing emotions (Ünal-Aydın et al 2020 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Development of a scale for capturing psychological aspects of physical–digital integration: relationships with psychosocial functioning and facial emotion recognition

2023

View full text Add to dashboard Cite

The present work aims at developing a scale for the assessment of a construct that we called “physical–digital integration”, which refers to the tendency of some individuals not to perceive a clear differentiation between feelings and perceptions that pertain to the physical or digital environment. The construct is articulated in four facets: identity, social relationships, time–space perception, and sensory perception. Data from a sample of 369 participants were collected to evaluate factor structure (unidimensional model, bifactor model, correlated four-factor model), internal consistency (Cronbach’s α, McDonald’s ω), and correlations of the physical–digital integration scale with other measures. Results showed that the scale is valid and internally consistent, and that both the total score and the scores at its four subscales are worthy of consideration. The physical–digital integration scores were found to be differently associated with digital and non-digital behaviors, individuals’ ability to read emotions in the facial expressions of others, and indicators of psychosocial functioning (anxiety, depression, and satisfaction with social relationships). The paper proposes a new measure whose scores are associated with several variables that may have relevant consequences at both individual and social levels.

show abstract

“…Since then, new studies have found an association with depression ( 20 – 22 ) ADHD ( 23 ) and Social anxiety ( 24 ). Patients with major depressive disorder (MDD) were more addicted to SNS and “relapse” to problematic SNS use predicted depressive symptoms in these patients ( 25 ). A recent study has shown an association between problematic SNS use and eating disorder that was mediated by muscle dysmorphia ( 26 ).…”

Section: Comorbidity With Other Disordersmentioning

confidence: 99%

Problematic Social Networking Site use-effects on mental health and the brain

Weinstein

2023

Front. Psychiatry

View full text Add to dashboard Cite

The association between excessive use of Social Networking Sites (SNS) and mental health is raising serious concern among health and education professionals. Problematic SNS use has been associated with an increased rate of depression, anxiety, stress, obsessive-compulsive disorder (OCD), attention-deficit/hyperactivity disorder (ADHD), and propensity to excessive alcohol use. It may also lead to vulnerability to aggression, cyberbullying and fear of missing out (FOMO). There is little evidence for cognitive impairments, but there is some preliminary event-related potentials (ERPs) evidence for inefficiency in allocating and monitoring resources and inhibitory control. Problematic SNS has been associated with the personality traits of conscientiousness agreeableness and neuroticism, and with narcissism. There is evidence for reduced sleep quality and quantity, longer sleeping latency and more sleep disturbance. The few brain imaging studies show some similarity between problematic SNS use and other addictions related to inhibitory-control mechanism, reduced gray matter volumes in the nucleus accumbens, amygdala, and the insula, suggesting rewarding effects of SNS use on the brain. Finally, there is preliminary evidence that treatment with Cognitive Behavior Therapy (CBT) can assist in short-term abstinence intervention to treat problematic SNS use. We conclude that problematic SNS use may have deleterious effects on emotional and social relationships, and more research is required on its effects on cognitive and brain function.

show abstract

The problematic use of social networking sites associates with elevated symptoms in patients with major depressive disorder

Cited by 11 publications

References 38 publications

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis

Development of a scale for capturing psychological aspects of physical–digital integration: relationships with psychosocial functioning and facial emotion recognition

Problematic Social Networking Site use-effects on mental health and the brain

Contact Info

Product

Resources

About