Toward a roadmap for addressing today's health dilemma–The 101-statement consensus report
Bibliographic record
Abstract
Importance: In recent decades there has been an expansion in the quantity and quality of scientific findings and guidelines on different health topics to promote individual and public health status. Reports also indicate that there has been a simultaneous increase in the financial burden of disease, including trillions spent on healthcare resources by governments worldwide (predominantly in developing countries) to address health concerns. At the same time, personal health behavior is well-known as efficient and cost-free, holding four times the potential to prevent early death compared to health care. Despite this knowledge, data show that the increasing prevalence of unhealthy lifestyles and the associated chronic diseases, especially in Western societies, still need to be controlled. This circumstance exemplifies today's global health dilemma, which alarms the inadequacy of ongoing efforts to address the existing health concerns worldwide. Setting insights and observations: Three international, multidisciplinary, and inter-university events (two scientific conferences and one tertiary education symposium) were held in Austria (Innsbruck) between 2020 and 2022 to discourse, discuss, and debate these concerns. Two hundred eighty-four experts from 76 universities, organizations, and stakeholders spanning 31 nations and five continents participated in this international research and knowledge exchange to address today's global health dilemma. The latest scientific findings were discussed to develop practical strategies for improving lifestyle behavior and focus on the dual "Healthy Eating & Active Living" approach as a minimum recommendation for sustainable lifelong health and care. The expert panel debated crucial research priorities and future policies, identified gaps and untapped potential in basic health approaches that have been grossly neglected, and approved the evidence-based 101 consensus statements presented. Conclusions and relevance: These endeavors aim to develop novel and effective interventions that address the needs of individuals and communities and promote optimal health status.
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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 | 0.183 | 0.168 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.010 | 0.019 |
| Research integrity | 0.044 | 0.051 |
| Insufficient payload (model declined to judge) | 0.011 | 0.008 |
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".