Exercise Perceptions in People With Metabolic Dysfunction-Associated Steatotic Liver Disease: Insights From a Qualitative Study
Bibliographic record
Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a chronic liver condition associated with lifestyle and metabolic risk factors. While exercise is a beneficial treatment strategy, many patients struggle to implement and perform exercise regularly. It is important for practitioners to know about patient awareness, attitudes, and preferences regarding exercise in the context of MASLD. In this study, we examined exercise knowledge, attitudes, and exercise preferences among patients with MASLD to improve their exercise behavior changes. Methods: We conducted a questionnaire and semi-structured interview study in adults with MASLD to assess their disease awareness, perspectives on exercise and exercise preferences. MASLD severity was assessed using controlled attenuation parameter (CAP) and transient elastography (TE) to determine the severity of hepatic steatosis and fibrosis, respectively. Transcripts were coded using NVivo software, and thematic analysis was employed to extract key themes. Results: A total of 18 interviews were completed with 18 MASLD patients (37 - 76 years), who attended an outpatient hepatology clinic. The majority of participants demonstrated awareness of MASLD’s severity but lacked knowledge about exercise as a treatment option. Participants expressed preferences for exercises that were time-efficient, easy to perform, non-strenuous, and portable. Walking emerged as the most favored exercise, followed by resistance exercises with free weights and eccentric-biased bodyweight exercises. Conclusions: This study provides insights into individuals’ perspectives on exercise in MASLD, highlighting the need for targeted education and personalized exercise interventions. Understanding these perspectives can inform the development of effective strategies to promote long-term exercise adherence and improve clinical outcomes in MASLD management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".