Web-Based Assessment of Cognition and Dementia Risk Factors in Over 3000 Norwegian Adults Aged 50 Years and Older: Cross-Sectional PROTECT Norge Study
Bibliographic record
Abstract
Background: With the growing number of older adults in the Norwegian population and the associated rapid rise in dementia and cognitive impairment, novel and more efficient methodologies are needed to facilitate research, improve diagnostic triage, and deliver effective brain health interventions in the community. Platform for Research Online to Investigate Genetics and Cognition in Ageing Norge (PROTECT Norge) is a web-based, remote research platform on the aging brain, culturally adapted from the UK PROTECT study, incorporating a Norwegian cohort of adults aged 50 years and older, where participants complete study activities via a dedicated website. Data were collected through study activities, which included self-reported questionnaires and a computerized neuropsychological test battery. Objective: The study aimed to assess associations between dementia risk factors, including obesity, hypertension, smoking, and hearing loss, and cognition using baseline data from the PROTECT Norge study. Methods: Data from the PROTECT Norge study were used to assess associations between dementia risk factors and cognition. These associations were assessed using independent-sample t tests for each of the cognitive tests, which included paired associate learning, self-ordered search, digit span, and verbal reasoning tasks. Results: During the first 2 years of data collection, records from 3214 participants were obtained. Associations between established risk factors and cognitive performance were found, with significant detriments to cognitive performance on the computerized neuropsychological test battery. In the PROTECT Norge cohort, consisting of 74.5% females, the mean age was 64.1 (SD 7.7), and 94% of participants provided consent for contact regarding future research. Conclusions: These data show the associations between dementia risk factors and cognition and attest to the excellent feasibility of the PROTECT Norge cohort, with over 3000 participants included over a period of 2 years and accessibility for people with early cognitive impairment. This, combined with the cohort's willingness to participate in future studies (94%), positions PROTECT Norge as a tremendous opportunity for cost-efficient, large-scale brain health research and potentially for clinical digital cognitive health programs.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".