Relationship Between Social Activity and Frailty in Japanese Older Women During Restriction on Outings due to COVID-19
Bibliographic record
Abstract
Background This study investigated the relationship between social activities and frailty during the restriction on outings due to COVID-19. Design A cross-sectional study. Setting and Subjects This study was conducted in City Nishinomiya of Prefecture Hyogo, in Japan. A mail survey was carried out among women aged 65 years or older in May 2020. A population of 293 women aged 65 years or older living in the community was recruited for the study and 213 of them were analyzed. Measurements The survey included questions on sex, age, height, weight, and social activity. Social activity consisted of participation in social organizations and their frequency, as well as frequency of interaction with family and friends. The survey also asked if regular social activity had been impeded by COVID-19. Results A significant association was found between frailty and hindered interaction with friends (β: 0.176, p = .014). Multivariate linear regression analysis confirmed that this association was also significant in Model 1 (β: 0.158, p = .025), and Model 2 (β: 0.148, p = .034). Conclusions No association between being hindered in social activity and frailty was found in older women living in the community during the restriction on outings due to COVID-19.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".