“I felt sad and did not enjoy life”: Cultural context and the associations between anhedonia, depressed mood, and momentary emotions
Bibliographic record
Abstract
The meanings of "anhedonia" and "depressed mood," the cardinal emotional symptoms of major depression, may be shaped by cultural norms regarding pleasure and sadness. Thirty-two European Americans, 26 Hispanic Americans, 33 Asian Americans, and 20 Russian Americans provided reports of (a) depressive symptoms, (b) momentary emotions and pleasure, and (c) global subjective well-being. Momentary reports were collected over 10 days using handheld personal digital assistants. Reports of anhedonia were associated with heightened levels of momentary low arousal negative emotions (e.g., sadness), whereas reports of depressed mood were associated with dampened levels of momentary positive emotions (e.g., happiness). Symptoms of anhedonia and depressed mood interacted in their associations with momentary pleasure. In addition, the associations of anhedonia and depressed mood with positive emotions and life satisfaction differed across cultural groups. Specifically, these symptoms were associated with dampened positive emotions in the Asian American group only. Additionally, anhedonia was associated with dampened global life satisfaction in the European American group only. These results suggest that reports of anhedonia and depressed mood cannot be interpreted at face value as specific and culture-free indicators of emotional deficits. Instead, they appear to signal changes in the balance of positive and negative emotions, with the exact nature of these signals shaped at least in part by cultural context. This conclusion has important consequences for the clinical interpretation of depressive symptoms in multicultural societies.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".