Analysing features of home-based workout during COVID-19 pandemic: a systematic review
Bibliographic record
Abstract
OBJECTIVE: Since the beginning of the COVID-19 pandemic, a decrease in physical activity (PA) related to home confinement has been reported worldwide. However, some individuals were able to engage in physical activities at home. Thus, in a perspective of public health, it may be useful to analyse the available evidence regarding PA adopted during home restrictions, in order to identify possible strategies to help people stay active even during emergency situations. The aim of this review was to analyse how healthy individuals spontaneously exercised at home in the course of the pandemic, in order to detect possible factors associated with this behaviour. STUDY DESIGN: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. METHODS: The protocol was registered in PROSPERO, an international prospective register of systematic reviews, with the registration number CRD42023394673. A literature search was conducted in PubMed, Scopus, and Web of Science. Cross-sectional studies published in English from the inception of each database to February 06th 2023 and focused on healthy individuals practicing spontaneous PA/exercise at home during the pandemic were considered eligible. The quality assessment was performed using the adapted Newcastle-Ottawa Quality Assessment Scale. Bibliographic information, sample size, study paricipant/population with age, gender, ethnicity, socioeconomic status, education, smart workers or not, anthropometric parameters, characteristics of at home exercises, athletic status and sedentariness, associated health-related effects, and main findings were synthetised. RESULTS: From 504 articles, 19 were included. Notwithstanding the differences in the studies examined, the majority of them reported that previous PA level was associated with exercise in such challenging conditions. Furthermore, technologies aimed at supporting exercise were shown to be a useful resource. CONCLUSIONS: Being habitually active and using digital supports may be associated with a positive attitude towards exercise at home during isolation. This suggests that in emergency situations, exercise should be promoted, also through digital media, especially among those groups who are usually less engaged in PA. Further analyses of longitudinal studies are needed to confirm these findings.
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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 | 0.007 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.010 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".