Social Media and Depression Symptoms: A Network Perspective
| العنوان: | Social Media and Depression Symptoms: A Network Perspective |
|---|---|
| المؤلفون: | Aalbers, George, Fried, Eiko, Heeren, Alexandre, McNally, Richard, de wit, sanne |
| المساهمون: | Klinische Psychologie (Psychologie, FMG), Brain and Cognition, FMG, UCL - SSH/IPSY - Psychological Sciences Research Institute, UCL - SSS/IONS/NEUR - Clinical Neuroscience, Cognitive Science & AI |
| المصدر: | Journal of Experimental Psychology. General, 148(8), 1454-1462. American Psychological Association Journal of Experimental Psychology : General Journal of Experimental Psychology : General, 148(8), 1454-1462 Journal of Experimental Psychology: General, Vol. 148, no. 8, p. 1454–1462 (2019) Journal of Experimental Psychology: General, 148(8), 1454-1462. AMER PSYCHOLOGICAL ASSOC |
| بيانات النشر: | American Psychological Association, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Adolescent, social media, media_common.quotation_subject, Experimental and Cognitive Psychology, 050105 experimental psychology, Young Adult, stress, Developmental Neuroscience, loneliness, medicine, Humans, 0501 psychology and cognitive sciences, Social media, Young adult, Students, network analysis, General Psychology, Depression (differential diagnoses), media_common, Depression, Loneliness, 05 social sciences, Perspective (graphical), Feeling, depression, Female, medicine.symptom, Psychology, Depressed mood, Social Media, Clinical psychology |
| الوصف: | Passive social media use (PSMU)-for example, scrolling through social media news feeds-has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, and (c) between-subjects associations among these variables. (a) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. (b) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. (c) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships. (PsycINFO Database Record (c) 2019 APA, all rights reserved). |
| اللغة: | English |
| تدمد: | 0096-3445 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50f7952c071eb4a1aac03b4aae5919dbTest https://dare.uva.nl/personal/pure/en/publications/social-media-and-depression-symptoms-a-network-perspectiveTest(0abb19f0-45ca-4632-95be-f9439340315d).html |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....50f7952c071eb4a1aac03b4aae5919db |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00963445 |
|---|