Symptoms and Experiences of Chest Binding: A Cross-Sectional Survey Using a Patient-Oriented, Harm Reduction Approach
Bibliographic record
Abstract
Purpose: People bind their chests to relieve gender dysphoria. Most people who bind experience negative physical symptoms as a result. The purpose of this research is to (1) explore the incidence, overall impact, and level of concern of adverse symptoms related to chest binding and (2) describe the experiences of chest binding-related symptoms that generate the most care seeking. Methods: A cross-sectional, online, purpose-made survey was conducted from June to September 2022 using a patient-engaged, harm reduction approach. Binding history, demographics, and detailed experiences of 29 symptoms were explored. Results: The survey was completed by 356 people. An importance rating for each symptom was calculated using symptom incidence, overall impact, and level of concern. The symptoms rated as most important were shortness of breath (SOB), overheating, and chest pain. Back pain, chest pain, shoulder pain, SOB, shoulder instability, and rib and spine changes generated the most care seeking. The frequency and intensity of these symptoms were less when not binding but were still present and impacted social/recreational activities. Despite moderate frequency and intensity of symptoms, participants rarely modified binding habits. Conclusion: Chest binding was important enough to participants to warrant enduring significant discomfort. Patterns of symptom presentation suggest underlying physiological changes from chest binding. Treatment should focus on symptom management and minimizing the physiological effects without requiring modifications to binding behaviors. Clinicians should consider educating patients on clinically concerning symptoms and screening for symptoms most important to patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".