Dietary resilience in patients with severe COPD at the start of a pulmonary rehabilitation program
Bibliographic record
Abstract
BACKGROUND: COPD may impact food-related activities, such as grocery shopping, cooking, and eating. Decreased food intake may result in an unhealthy diet, and in malnutrition, which is highly prevalent in patients with COPD. Malnutrition is known to negatively impact clinical outcome and quality of life. AIMS: In this qualitative study, we aimed to explore strategies used to overcome food-related challenges, ie, dietary resilience, and whether these led to a healthy diet. Furthermore, we aimed to identify the key themes of motivation for dietary resilience in patients with severe COPD. METHODS: In October 2015 to April 2016, 12 patients with severe COPD starting a pulmonary rehabilitation program were interviewed. Qualitative description and thematic analysis were performed. RESULTS: All participants mentioned the use of strategies to overcome challenges. Key themes of motivation for dietary resilience were identified as "wanting to be as healthy as possible", "staying independent", and "promoting a sense of continuity and duty". Two out of 12 participants met the criteria for a healthy diet. CONCLUSION: Our study showed a variety of motivational factors and strategies reported by patients with severe COPD to overcome food-related challenges. However, the majority (n=10) of the participants did not meet the criteria for a healthy diet. The identified key themes can be used to develop education to support patients with severe COPD to improve their diet.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".