Single Time-Point Study of the Home Environment and Functionality of Older Adults in Spain
Bibliographic record
Abstract
Background: The literature favors discussion on socio-spatial conditions at the macro- (city) and micro- (housing) level that promote healthy aging in place. Objectives: (a) Identify the association between physical and social characteristics of the family home and the functional level and quality of life of older people and (b) provide normative data on adequate/inadequate households based on the Home Observation for Measurement of the Environment (HOME) inventory and the Spanish Informant Questionnaire on Cognitive Decline in the Elderly (S-IQCODE) test. Methods: In total, 79 healthy older adults completed the HOME inventory and the Montreal Cognitive Assessment (MoCA), S-IQCODE, Kessler Psychological Distress Scale (K-10) and ICEpop CAPability measure for Older people (ICECAP-O) tests. A regression model, the effect size and the means of the scores of HOME (adequate/inadequate) test and the cognitive level (optimal/normal) were calculated. Results: The regression model discloses that adequate home scores are associated with cognitive level (odds ratio (OR): 0.955, confidence interval (CI)95%: 0.918–0.955); quality of life (OR: 6.542, CI95%: 1.750–24.457), living with other people (OR: 5.753, CI95%: 1.456–22.733) and level of education (OR: 0.252, CI95%: 0.064–0.991). The normative data between HOME and S-IQCODE scores showed a good adjustment (d = 0.70). Conclusion: There is a significant relationship between the physical environment of the home and personal variables (sociodemographic information, quality of life and cognitive functionality). In addition, from this last variable, the normative data of an adequate/inadequate household for an older person have been established.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".