ArticlePsychiatry research2017
Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia.
Article in Psychiatry research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Social networks use in the context of Schizophrenia: a review of the literature.Frontiers in psychiatry · 2024Review
- Sampling Twitter users for social science research: evidence from a systematic review of the literature.Quality & quantity · 2023Article
- Social media and schizophrenia: An update on clinical applications.World journal of psychiatry · 2022Review
- Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice.Journal of technology in behavioral science · 2020Article
- Article
- Racial and Ethnic Disparities in Patient Experiences in the United States: 4-Year Content Analysis of Twitter.Journal of medical Internet research · 2020Article
- Feasibility of using social media to monitor outdoor air pollution in London, England.Preventive medicine · 2019Article
- Digital Trespass: Ethical and Terms-of-Use Violations by Researchers Accessing Data From an Online Patient Community.Journal of medical Internet research · 2019Article
- Using Twitter to Detect Psychological Characteristics of Self-Identified Persons With Autism Spectrum Disorder: A Feasibility Study.JMIR mHealth and uHealth · 2019Article
- Digital technology for health promotion: opportunities to address excess mortality in persons living with severe mental disorders.Evidence-based mental health · 2019Review
- Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.The Psychiatric quarterly · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Novel approaches are needed to address elevated tobacco use among people with schizophrenia. This exploratory study examined the frequency, timing, and type of communication about tobacco-related content on Twitter among users who self-identify as having schizophrenia compared with users from the general population. Over a 200-day period from January to July 2016, Twitter users who self-identify as having a schizophrenia spectrum disorder (n = 203) and a randomly selected group of general population control users (n = 173) posted 1,544,122 tweets. Communication frequency did not differ between groups. Tweets containing tobacco-related keywords were extracted. Twitter users with schizophrenia posted significantly more tweets containing any tobacco-related terms (mean = 3.74; SD = 16.3) compared with control users (mean = 0.82; SD = 1.8). A significantly greater proportion of Twitter users with schizophrenia (45%; n = 92) posted tweets containing any tobacco terms compared with control users (30%; n = 52). Schizophrenia users showed significantly greater odds of tweeting about tobacco compared with control users (OR = 1.99; 95% CI 1.29-3.07). These findings suggest that online communication about tobacco may parallel real world trends of elevated tobacco use observed among people with schizophrenia. By showing that Twitter users who self-identify as having schizophrenia discuss tobacco-related content online, popular social media could inform smoking cessation efforts targeting this at-risk group.
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Registered trials
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.