Investigating the Knowledge of Prebiotics, Probiotics, and Synbiotics That May Help to Improve the Gut-Organ Axis Function in Middle-Aged and Older Adults
Bibliographic record
Abstract
BACKGROUND AND AIMS: The use of gut biotics, including probiotics, prebiotics, and synbiotics, has shown substantial potential in the management of various health conditions possibly through the gut-organ axis. The role of gut biotics in modulating the gut-brain axis is becoming evident with more research focusing on this intervention. Improvement of gut-organ axis function is possible by using food-related products called gut biotics. However, there is limited comprehension of the knowledge and use of these intestinal or gut biotics. Our aim was to recognize knowledge gaps and assess the improvement of understanding following an education intervention. METHODS: A single-arm study encompassing a convenient sample of 161 inpatient and outpatient subjects aged 50 years and older was conducted at the University of Alberta Hospital from June to August 2023. Knowledge about gut biotics was evaluated using a structured questionnaire consisting of 16 questions and involving six thematic areas. To ensure validity, the questionnaire was pre-tested on 10 physicians and residents who were not part of the study. The questionnaire was administered to study subjects prior to receiving an information sheet about gut biotics. Two weeks after receiving the information sheet, all participants were contacted by phone, and the same questionnaire was administered again. Of the 161 patients, 122 completed the pre-intervention and post-intervention questionnaires and were considered in the analysis. RESULTS: The mean age of the participants was 72 years (SD: 10.8), 57% comprised women, and 39% had less than a high school education. The proportion of polypharmacy and multimorbidity was 87% and 97%, respectively. Following the intervention, there was a noticeable enhancement in knowledge across all the themes, with statistical significance (p<0.001) observed in 14 out of 16 questions as determined by the homogeneity statistical test. CONCLUSIONS: Knowledge gaps in gut biotics were prevalent among study participants, and the educational intervention effectively contributed to the enhancement of knowledge. The results of this study provide valuable information for the development of targeted health education strategies focusing on gut biotics, which may play a role in improving gut-organ axis function.
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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".