Protocol for the next generation brain health survey on attitudes, understanding, and exposure to brain health risk factors in young adults globally
Bibliographic record
Abstract
Evidence suggests that risk factors for Alzheimer’s disease and related dementias (ADRD) are at least partially modifiable, and that lifestyle risk accumulates as we age. However, the prevalence and impact of lifestyle-related risk factors in young adulthood (i.e., 18–39 years) remain poorly understood, with some risk factors that are developed in early adulthood being difficult to remove and reverse at midlife. The Next Generation (NextGen) Brain Health Survey is the first of its kind to be designed specifically for young adults, with the aim of exploring attitudes, understanding and exposure to ADRD risk and protective factors in this life stage. The NextGen survey is an international, cross-sectional survey of young adults aged 18–39 years. The survey was developed in three phases with ongoing input from public advisors (i.e., young adults from Europe, North America, and Africa). First, we adapted items from existing literature for the target population. Second, we conducted focus groups with young adults to review the items and explore new themes. Third, we piloted the survey in an international network, including brain health researchers, clinicians, and advocacy groups. Feedback was integrated to create the finalized survey. The NextGen survey is conducted online and made available to individuals aged 18–39 years internationally. Results will contribute new knowledge about young adults and ADRD risk exposure before mid-life, including much-needed evidence in populations that are traditionally under-represented in research. Findings will help identify mediators and modifiers of associations between knowledge, attitudes, and risk exposure, and provide the basis for comparison with middle-aged and older populations.
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 | 0.030 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.149 | 0.036 |
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".