Perceptions and Experiences of Nutrition Interventions in Individuals with Amyotrophic Lateral Sclerosis (ALS) and their Caregivers
Bibliographic record
Abstract
Nutrition concerns are prevalent in individuals with Amyotrophic Lateral Sclerosis (ALS). Despite the prevalence of nutrition concerns, few data are available on perceptions and experiences of nutrition interventions in individuals with ALS and their caregivers; this study aimed to collect this information. An online survey was developed and hosted on Survey Monkey®. Individuals with ALS and their caregivers from Saskatchewan, Canada, were invited to complete the survey through email to attendees of the ALS Clinic (Saskatoon, Canada), and via the ALS Society of Saskatchewan Facebook page in February–March, 2021. Quantitative data were analyzed using descriptive statistics. Twelve eligible respondents completed the survey (n = 10 individuals with ALS; n = 2 caregivers). The present study found nutrition was important to respondents and there was interest in trying diets and supplements for ALS management; of note, many respondents were interested in exploring the ketogenic diet. Six (50%) respondents had weight loss concerns. All respondents would recommend consulting with a dietitian upon being diagnosed with ALS. Many respondents reported a predefined negative perception of tube feeding. The results of this study suggest that increasing the accessibility of dietitians could positively impact ALS-related care. The findings also provide guidance for dietitians to enhance nutrition care for individuals with ALS.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".