Depression alters the circadian pattern of online activity
| Autor: | Johan Bollen, Lorenzo Lorenzo-Luaces, Ingrid A. van de Leemput, Krishna C. Bathina, Lauren A. Rutter, Marijn ten Thij, Marten Scheffer |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Male Aquatic Ecology and Water Quality Management lcsh:Medicine CRITICAL SLOWING-DOWN Cohort Studies 0302 clinical medicine lcsh:Science COGNITIVE-BEHAVIORAL THERAPY Depression (differential diagnoses) Multidisciplinary Depression Computational science Middle Aged Sleep in non-human animals Circadian Rhythm REVEAL Major depressive disorder Female medicine.symptom Clinical psychology Adult Evening Adolescent DISORDERS Article 03 medical and health sciences Young Adult medicine Life Science Humans Circadian rhythm Wakefulness Psychology and behaviour METAANALYSIS WIMEK business.industry lcsh:R Aquatische Ecologie en Waterkwaliteitsbeheer medicine.disease Mental health Computer science SLEEP INSOMNIA Affect 030104 developmental biology Mood Rumination lcsh:Q sense organs business Social Media 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports, 10(1):17272. Nature Publishing Group Scientific Reports Scientific Reports, 10(1) Scientific Reports 10 (2020) 1 Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) |
| ISSN: | 2045-2322 |
| Popis: | Human sleep/wake cycles follow a stable circadian rhythm associated with hormonal, emotional, and cognitive changes. Changes of this cycle are implicated in many mental health concerns. In fact, the bidirectional relation between major depressive disorder and sleep has been well-documented. Despite a clear link between sleep disturbances and subsequent disturbances in mood, it is difficult to determine from self-reported data which specific changes of the sleep/wake cycle play the most important role in this association. Here we observe marked changes of activity cycles in millions of twitter posts of 688 subjects who explicitly stated in unequivocal terms that they had received a (clinical) diagnosis of depression as compared to the activity cycles of a large control group (n = 8791). Rather than a phase-shift, as reported in other work, we find significant changes of activity levels in the evening and before dawn. Compared to the control group, depressed subjects were significantly more active from 7 PM to midnight and less active from 3 to 6 AM. Content analysis of tweets revealed a steady rise in rumination and emotional content from midnight to dawn among depressed individuals. These results suggest that diagnosis and treatment of depression may focus on modifying the timing of activity, reducing rumination, and decreasing social media use at specific hours of the day. |
| Databáze: | OpenAIRE |
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