The Association between Selected Body Impairments and Self Assessed Health among the Elderly Population
Bibliographic record
Abstract
Impairment is a medical condition in the disablement process. ‘Self Assessed Health’ (SAH) is an individual’s comprehensive assessment of own general health status. Several studies suggest a fairly good relationship between SAH and objective assessment of health. However, it is not known if such a relationship holds good in the Indian context. The objectives of the present study are to examine the levels of selected body impairment among the elderly population and to study the association between impairment and SAH. Data for the study were collected from 2028 aged respondents of both the sex from Cuttack city of Odisha state under the Indian Union. Logistic regression of SAH on different levels of impairments suggests that near-vision, hearing, speaking, and biting-chewing food are not significant predictors of self assessed good health. On the other hand, distance vision, distance hearing, climbing a flight of stairs, bending-kneeling on the floor and lifting-carrying a shopping bag are significant predictors of self assessed good health.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".