Evidence map›Paper›PMID 34011346›Full record

ArticleBMC psychiatry2021

Temporal and diurnal variation in social media posts to a suicide support forum.

Rina Dutta, George Gkotsis, Sumithra Velupillai, Ioannis Bakolis, Robert Stewart

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Rina DuttaDepartment of Psychological Medicine, School of Academic Psychiatry, King's College London, IoPPN, PO Box 84, 3rd Floor East Wing, Room E3.07, De Crespigny Park, London, SE5 8AF, UK. rina.dutta@kcl.ac.uk.
George GkotsisDepartment of Psychological Medicine, School of Academic Psychiatry, King's College London, IoPPN, PO Box 84, 3rd Floor East Wing, Room E3.07, De Crespigny Park, London, SE5 8AF, UK.
Sumithra VelupillaiDepartment of Psychological Medicine, School of Academic Psychiatry, King's College London, IoPPN, PO Box 84, 3rd Floor East Wing, Room E3.07, De Crespigny Park, London, SE5 8AF, UK.
Ioannis BakolisDepartment of Psychological Medicine, School of Academic Psychiatry, King's College London, IoPPN, PO Box 84, 3rd Floor East Wing, Room E3.07, De Crespigny Park, London, SE5 8AF, UK.
Robert StewartDepartment of Psychological Medicine, School of Academic Psychiatry, King's College London, IoPPN, PO Box 84, 3rd Floor East Wing, Room E3.07, De Crespigny Park, London, SE5 8AF, UK.
King's College London · GBKTH Royal Institute of Technology · SESouth London and Maudsley NHS Foundation Trust · GB

Funding

Medical Research Council MR/S020365/1Medical Research Council MR/T045302/1MRF_ MRF-058-0011-RG-DUTT-C0761
6 · The paper itself

Abstract

backgroundRates of suicide attempts and deaths are highest on Mondays and these occur more frequently in the morning or early afternoon, suggesting weekly temporal and diurnal variation in suicidal behaviour. It is unknown whether there are similar time trends on social media, of posts relevant to suicide. We aimed to determine temporal and diurnal variation in posting patterns on the Reddit forum SuicideWatch, an online community for individuals who might be at risk of, or who know someone at risk of suicide.

methodsWe used time series analysis to compare date and time stamps of 90,518 SuicideWatch posts from 1st December 2008 to 31st August 2015 to (i) 6,616,431 posts on the most commonly subscribed general subreddit, AskReddit and (ii) 66,934 of these AskReddit posts, which were posted by the SuicideWatch authors.

resultsMondays showed the highest proportion of posts on SuicideWatch. Clear diurnal variation was observed, with a peak in the early morning (2:00-5:00 h), and a subsequent decrease to a trough in late morning/early afternoon (11:00-14:00 h). Conversely, the highest volume of posts in the control data was between 20:00-23:00 h.

conclusionsPosts on SuicideWatch occurred most frequently on Mondays: the day most associated with suicide risk. The early morning peak in SuicideWatch posts precedes the time of day during which suicide attempts and deaths most commonly occur. Further research of these weekly and diurnal rhythms should help target populations with support and suicide prevention interventions when needed most.

Indexed as

Social MediaCircadian RhythmHumansSuicidal IdeationDiurnal rhythmsSocial mediaSuicideSuicide timingTemporal pattern

Identifiers

PMID34011346
PMCPMC8136175
OpenAlexW3162938707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.