Self-Induced Mania Methods and Motivations Reported in Online Forums: Observational Qualitative Study
Bibliographic record
Abstract
BACKGROUND: In bipolar disorder (BD), mania may be self-induced by manipulation of specific precipitants, as reported in case studies. Another potential source of information on the self-induction of mania is the online postings of users with lived experience of mania. OBJECTIVE: The primary aim of this study is to examine the range of methods used to self-induce mania or hypomania described by users of online forums with self-reported BD. Second, we summarize the motivations of users to engage in these behaviors. METHODS: We conducted an observational study of online forum posts that discussed self-induction of mania or hypomania, either in the posters themselves or observed firsthand in others. Posts were identified using Google advanced search operators, then extracted and coded for content in NVivo (version 12 for Mac; QSR International). A total of 44 online forum threads were identified discussing self-induced mania (n=25) or hypomania (n=19). These forums contained 585 posts by 405 usernames, of which 126 usernames discussed methods for self-induction across 327 posts (number of methods per username: median 2, IQR 1-4; range 1-11). RESULTS: In total, 36 methods were grouped by the authors. The most frequently reported were sleep reduction (n=50), caffeine (n=37), and cessation of medication (n=27). Twenty-six usernames reported their motivation to self-induce mania or hypomania; almost three-quarters (n=19) reported a desire to end a depressive episode. Almost a third of usernames (118/405) explicitly discouraged other forum users from self-inducing mania or hypomania. CONCLUSIONS: Online forums provide an additional and valuable source of information about triggers for mania that may inform relapse prevention in BD. The online forum conversations investigated were generally responsible and included cautionary advice not to pursue these methods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".