Older adults’ daily activities during lockdown in France, spring 2020: a cross sectional survey
Bibliographic record
Abstract
Abstract Background The 2020 COVID-19 pandemic prompted many countries to go into lockdown for varying periods. The French population was limited to 1km around their house, with the need to have a travel declaration when going out. According to the World Federation of Occupational Therapists (2020), “populations around the world have been required to adjust and make compensations to usual routines in order to participate in ongoing or newly acquired activities that are necessary for daily life.” AIMS. In this context, we aimed to describe changes in daily activities, social contacts, and mental health and wellbeing of older adults (i.e. aged 60 or more) living in France. Methods We performed an online cross-sectional survey, based on the Canadian Occupational Performance Measure (COPM) for restriction of and satisfaction with daily activities, and the Cantril's ladder for mental health and wellbeing. RESULTS. Of the 512 respondents, 9% did not feel restricted at all in their daily activities, and 13% reported no change. About one third (31%) reported to have less diverse activities than usual but to be satisfied with it. Regarding social contacts, 72% of the respondents reported to have a lot more contacts than usual with their relatives. Concerning the type of activities, 2477 restricted activities could be identified, but also 2190 that were done more often during the lockdown. Most restricted ones concerned leisure (83%), especially active leisure, the most mentioned being walking. The more engaged activities also concerned leisure (73%), especially quiet recreation, the most mentioned reading. The median value of Cantril's ladder was 5 [4;7]. Conclusions Lockdown measures led to some activity restrictions for older adults, but also offered opportunities for new engagements. Remarkably was the increase in social contacts with relatives, probably related to the use of new technologies.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".