Nutrition Screening Index for Older Adults (SCREEN II©) Demonstrates Sex and Age Invariance
Bibliographic record
Abstract
Testing and refining nutrition screening tools that have demonstrated validity and reliability is important to ensure that mechanisms for allocating nutrition resources to those most in need are as efficient as possible. Using structural equation modelling, a nutrition screening instrument for community-dwelling seniors (SCREEN II) was tested to determine its factor structure and to understand how it measures nutrition risk. Further, this analysis was completed to identify a model that works equivalently for men and women and older and younger seniors. The screening tool was completed by 190 men and 417 women. Age groups (50-74 years, and 75+ years) were evenly split. Dietary intake and challenges influencing intake were identified as two factors representing the screening items. The final model showed good fit when tested for all participants. The model contained a core group of risk factors within SCREEN II that showed sex and age invariance. This set of risk factors can help guide refinement of nutrition screening instruments and is useful for health professionals to consider regularly as they work with community-dwelling older adults.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".