COVID-19 Vaccinations and Anxiety in Middle-Aged and Older Jews and Arabs in Israel: The Moderating Roles of Ethnicity and Subjective Age
Bibliographic record
Abstract
Subjective age (i.e., feeling younger/older than one’s chronological age) plays a significant role in older minority group members’ psychological well-being. In light of the importance of vaccinations for fighting COVID-19, it is unclear whether ethnicity and subjective age moderate the connection between receiving COVID-19 vaccinations and anxiety in Israel. Jewish ( n = 198) and Arab older adults ( n = 84) provided information regarding COVID-19 vaccinations, subjective age, and anxiety symptoms, as well as additional socio-demographic and COVID-19-related health factors (age range= 40–100, M = 62.5, SD = 12.34). Results demonstrated that feeling older was associated with increased anxiety ( p < .001) and that vaccinations were linked to increased anxiety among Jews ( p < .05). Moreover, the association between COVID-19 vaccinations and anxiety was significant only among Jewish participants with an older subjective age ( p < .05). We stress the importance of examining cultural diversities regarding the contribution of subjective age in the context of COVID-19 and psychological well-being.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".