Direct and Indirect Effects of Everyday Emotions on Food Intake of Elderly Patients in Institutions
Bibliographic record
Abstract
BACKGROUND: Decreased food intake is an important risk factor for malnutrition, which is highly prevalent among geriatric patients. The emotional nature of the hospitalization experience and the complex organizational setting involved in meal production and delivery services in institutions increase the risk for decreased food intake. Everyday emotions are known to have a particularly strong influence on decision-making and behavior in the elderly, and have also been shown, in younger populations, to influence food intake and its psychological antecedents, such as quality perception and satisfaction judgments. The objective of this paper is to study the direct impact of elderly patients' everyday emotions on food intake and their indirect effects mediated by quality perceptions and satisfaction judgments. METHODS: Thirty patients (20 women, 10 men, 65-92 age range) in a geriatric rehabilitation unit were observed on repeated meal episodes (average of 46 care episodes per patient) where they provided self-reports for emotions (positive emotions, anger, anxiety, and mild depressed feelings), perceived meal quality, and satisfaction. Food intake was measured in terms of energy and protein content. RESULTS: The impact on food intake was favorable, and both direct and indirect for positive emotions, direct and negative for anxiety, direct and positive for mild depressed feelings, and indirect and negative for anger. Indirect effects were mediated by quality perception judgments but not by satisfaction, which was not significantly related to food intake. CONCLUSION: Results suggest that, given their impact on food intake, measuring and monitoring patients' everyday emotions may be an important innovative strategy to improve food intake of elderly patients in institutions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".