Evidence map›Paper›PMID 39786862›Full record

ArticleJournal of medical Internet research2025

Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.

Jack A Cummins, Daniel J Gottlieb, Tamar Sofer, Danielle A Wallace

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Jack A CumminsManchester Essex Regional High School, Manchester, MA, United States.ORCID 0000-0003-0978-0421
Daniel J GottliebDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-8812-8751
Tamar SoferDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-8520-8860
Danielle A WallaceDivision of Sleep Medicine, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-7033-2172

Funding

TRAINING IN SLEEP, CIRCADIAN &RESPIRATORY NEUROBIOLOGYT32HL007901 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Charles A Czeisler · 1998 to 2026
$18.5M
Using polygenic risk scores and omics to study how suboptimal sleep accelerates cognitive aging in diverse populationsR01AG080598 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Tamar Sofer · 2023 to 2026
$3.6M
Leveraging omics data to understand sleep health and its consequences among diverse Hispanics/LatinosR01HL161012 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Tamar Sofer · 2022 to 2026
$3.2M
Investigating relationships between naturalistic light exposure and sleepK99HL166700 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WALLACE, DANIELLE A. · 2023 to 2024
$330k
NHLBI NIH HHS K99 HL166700NHLBI NIH HHS R01 HL161012NHLBI NIH HHS T32 HL007901NIA NIH HHS R01 AG080598
6 · The paper itself

Abstract

backgroundPeople share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in digital spaces to discuss insomnia and insomnia treatments.

objectiveThe aim of this study is to summarize and chart trends of insomnia treatment terms on a digital insomnia message board.

methodsWe performed a natural language processing analysis of the r/insomnia subreddit. Using Pushshift, we obtained all r/insomnia subreddit comments from 2008 to 2022. A bag of words model was used to identify the top 1000 most frequently used terms, which were manually reduced to 35 terms related to treatment and medication use. Regular expression analysis was used to identify and count comments containing specific words, followed by sentiment analysis to estimate the tonality (positive or negative) of comments. Data from 2013 to 2022 were visually examined for trends.

resultsThere were 340,130 comments on r/insomnia from 2008, the beginning of the subreddit, to 2022. Of the 35 top treatment and medication terms that were identified, melatonin, cognitive behavioral therapy for insomnia (CBT-I), and Ambien were the most frequently used (n=15,005, n=13,461, and n=11,256 comments, respectively). When the frequency of individual terms was compared over time, terms related to CBT-I increased over time (doubling from approximately 2% in 2013-2014 to a peak of over 5% of comments in 2018); in contrast, terms related to nonprescription over-the-counter (OTC) sleep aids (such as Benadryl or melatonin) decreased over time. CBT-I-related terms also had the highest positive sentiment and showed a spike in frequency in 2017. Terms with the most positive sentiment included "hygiene" (median sentiment 0.47, IQR 0.31-0.88), "valerian" (median sentiment 0.47, IQR 0-0.85), and "CBT" (median sentiment 0.42, IQR 0.14-0.82).

conclusionsThe Reddit r/insomnia discussion board provides an alternative way to capture trends in both prescription and nonprescription sleep aids among people experiencing sleeplessness and using social media. This analysis suggests that language related to CBT-I (with a spike in 2017, perhaps following the 2016 recommendations by the American College of Physicians for CBT-I as a treatment for insomnia), benzodiazepines, trazodone, and antidepressant medication use has increased from 2013 to 2022. The findings also suggest that the use of OTC or other alternative therapies, such as melatonin and cannabis, among r/insomnia Reddit contributors is common and has also exhibited fluctuations over time. Future studies could consider incorporating alternative data sources in addition to prescription medication to track trends in prescription and nonprescription sleep aid use. Additionally, future prospective studies of insomnia should consider collecting data on the use of OTC or other alternative therapies, such as cannabis. More broadly, digital communities such as r/insomnia may be useful in understanding how social and societal factors influence sleep health.

Indexed as

Natural Language ProcessingSleep Initiation and Maintenance DisordersHumansantidepressantsbenzodiazepinesCBTcognitive behavioral therapyeasly awakeninginsomniamelatoninnatural language processingNLPsleep aidssleep disordersleep initiationsocial mediatrazodonetreatment

Identifiers

PMID39786862
PMCPMC11757973

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.