The Impact of Pulmonary Fibrosis on Sex and Sexual Function – A Multinational Mixed Methods Study
Bibliographic record
Abstract
Abstract Background Sex is an important part of life for many adults, yet sexual function may be impacted by chronic respiratory diseases such as pulmonary fibrosis (PF). This multinational study sought to characterize the impact of PF on sex and sexual function, using mixed quantitative and qualitative methodology. Methods Patients were retrospectively included from a prospective registry and prospective clinical cohort if they had completed UCSD-SOBQ or SPARC questionnaire, respectively. An online multi-lingual survey used the Changes in Sexual Function Questionnaire (CSFQ) to assess sexual dysfunction, and qualitative evaluation of individual patient interviews was conducted using thematic analysis. Results Dyspnea with sexual activity affected 2,054/2,759 (74%) of registry patients, associated with male sex, lower FVC%, lower DLCO%, and worse cough. Distress due to the effect of PF on their sex life was reported in 52/225 (23%) of the clinical cohort, associated with younger age, male sex, lower DLCO%, and worse cough. Sexual dysfunction was common, affecting 56/67 (83%) of female and 63/73 (86%) male survey respondents. Qualitative analysis of patient interviews identified several themes including sex life limitations, changes in inter-personal relationships, quality of life, and emotions. All patients wanted to discuss sex with trusted healthcare providers. Conclusion In this multinational study, patients with PF reported engaging in sex and sexual activities but were adversely impacted by the effect of PF on sex life, with both physical and psychological limitations. Sexual dysfunction was common, driven by multiple disease domains. Sexual health appears to be an important component of comprehensive patient care. Funding The Canadian Registry for Pulmonary Fibrosis is sponsored by Boehringer Ingelheim, but had no input on any aspect of this study.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".