Physical Activity and Sedentary Behaviors in People With Stroke Living in the Community: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Regular physical activity is vital for cardiovascular health. Time spent in sedentary behaviors (eg, sitting, lying down) also is an independent risk factor for cardiovascular disease. The pattern in which sedentary time is accumulated is important-with prolonged periods of sitting time being particularly deleterious. People with stroke are at high risk for cardiovascular disease, including recurrent stroke. PURPOSE: This systematic review aimed to update current knowledge of physical activity and sedentary behaviors among people with stroke living in the community. A secondary aim was to investigate factors associated with physical activity levels. DATA SOURCES: The data sources used were MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Allied and Complimentary Medicine Database (AMED), EMBASE, and the Cochrane Library. STUDY SELECTION: Studies involving people with stroke living in the community and utilizing objective measures of physical activity or sedentary behaviors were included. DATA EXTRACTION: Data were extracted by one reviewer and checked for accuracy by a second person. DATA SYNTHESIS: Twenty-six studies, involving 983 participants, were included. The most common measure of activity was steps per day (22 studies), which was consistently reported as less than half of age-matched normative values. Only 4 studies reported on sedentary time specifically. No studies described the pattern by which sedentary behaviors were accumulated across the day. Walking ability, balance, and degree of physical fitness were positively associated with higher levels of physical activity. LIMITATIONS: This review included only studies of people living in the community after stroke who were able to walk, and the majority of included participants were aged between 65 and 75 years of age. CONCLUSIONS: Little is known about the time people with stroke spend being sedentary each day or the pattern in which sedentary time is accumulated. Studies using objective, reliable, and valid measures of sedentary time are needed to further investigate the effects of sedentary time on the health of people with stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".