Associations among loneliness, internal locus of control and subjective accelerated ageing in older adults who received the booster vaccination
Bibliographic record
Abstract
BACKGROUND: A rise in loneliness among older adults since the COVID-19 outbreak, even after vaccination, has been highlighted. Loneliness has deleterious consequences, with specific effects on perceptions of the ageing process during the COVID-19 pandemic. Coping with stressful life events and the challenges of ageing may result in a perception of acceleration of this process. AIM: Studies have shown a buffering effect of an internal locus of control in the relationship between COVID-19 stress and mental distress. The current study examined whether loneliness predicts subjective accelerated ageing and whether internal locus of control moderates this relationship. METHOD: = 70.44, s.d. = 5.95; age range 61-88 years), vaccinated three times, were sampled by a web-survey company. Participants completed the questionnaire after the beginning of the third vaccination campaign and reported again 4 months later on loneliness, internal locus of control and subjective accelerated ageing level in the second wave. RESULTS: Participants with higher levels of loneliness presented 4 months later with higher subjective accelerated ageing. Participants with a low level of internal locus of control presented 4 months later with high subjective accelerated ageing, regardless of their loneliness level. Participants with a high level of internal locus of control and a low level of loneliness presented with the lowest subjective accelerated ageing 4 months later. CONCLUSIONS: The findings emphasise the deleterious effects of loneliness and low internal locus of control on older adults' perception of their ageing process. Practitioners should focus their interventions not only on loneliness but also on improving the sense of internal locus of control to improve subjective accelerated ageing.
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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 | 0.001 | 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".