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Depression alters the circadian pattern of online activity
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560656/ https://www.ncbi.nlm.nih.gov/pubmed/33057099 http://dx.doi.org/10.1038/s41598-020-74314-3 |
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author | ten Thij, Marijn Bathina, Krishna Rutter, Lauren A. Lorenzo-Luaces, Lorenzo van de Leemput, Ingrid A. Scheffer, Marten Bollen, Johan |
author_facet | ten Thij, Marijn Bathina, Krishna Rutter, Lauren A. Lorenzo-Luaces, Lorenzo van de Leemput, Ingrid A. Scheffer, Marten Bollen, Johan |
author_sort | ten Thij, Marijn |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7560656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75606562020-10-19 Depression alters the circadian pattern of online activity ten Thij, Marijn Bathina, Krishna Rutter, Lauren A. Lorenzo-Luaces, Lorenzo van de Leemput, Ingrid A. Scheffer, Marten Bollen, Johan Sci Rep Article 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. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7560656/ /pubmed/33057099 http://dx.doi.org/10.1038/s41598-020-74314-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article ten Thij, Marijn Bathina, Krishna Rutter, Lauren A. Lorenzo-Luaces, Lorenzo van de Leemput, Ingrid A. Scheffer, Marten Bollen, Johan Depression alters the circadian pattern of online activity |
title | Depression alters the circadian pattern of online activity |
title_full | Depression alters the circadian pattern of online activity |
title_fullStr | Depression alters the circadian pattern of online activity |
title_full_unstemmed | Depression alters the circadian pattern of online activity |
title_short | Depression alters the circadian pattern of online activity |
title_sort | depression alters the circadian pattern of online activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560656/ https://www.ncbi.nlm.nih.gov/pubmed/33057099 http://dx.doi.org/10.1038/s41598-020-74314-3 |
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