The design and impact of culturally-safe community-based physical activity promotion for immigrant women: descriptive review
Bibliographic record
Abstract
Abstract Background Immigrant women have low rates of physical activity (PA), placing them at risk for chronic diseases. Some research suggests that strategies targeting this group must be culturally-safe and community-based. This study aimed to identify the design (i.e. characteristics) and impact of culturally-safe community-based PA promotion for immigrant women. Methods We conducted a descriptive review by searching MEDLINE, EMBASE, SPORTDiscus, CINAHL, SCOPUS, Cochrane Library and Joanna Briggs Institute Database of Systematic Reviews from inception to June 9, 2021 for English language studies that assessed community-based PA promotion strategies targeting adult immigrants and involved at least 50% women. We compiled findings in a preliminary context-mechanisms-outcomes conceptual framework. Results We included 13 studies published from 2004 to 2020. Three included women-only; the remainder included a median of 63% women (range 50 to 98%). Studies included immigrants from Brazil, Dominican, Columbian, Haiti, Mexico, China, Vietnam, Bangladesh, India, Pakistan, Somalia, Sudan and Turkey. All but one study (89%) significantly improved one or more outcomes: PA knowledge, PA participation and anthropometric measures (e.g. weight, BMI, blood pressure). Most (89%) strategies were multi-faceted: in-person group educational sessions reinforced by take-home educational material and/or follow-up reminder phone calls. Single strategies (e.g. mailed educational material, group educational session) also achieved beneficial outcomes. We identified 17 culturally-safe characteristics of PA promotion strategies: language of choice, based in community settings or organizations, led by lay health workers, reflected ethno-cultural linguistic expressions and PA norms, and recognized and offered solutions to barriers of PA. Findings were captured in a preliminary theory of how contextual factors (gender, intersectionality) and mechanism (culturally-safe PA promotion) may influence PA-related outcomes (PA knowledge, self-efficacy and participation; anthropometric measures, quality of life). Conclusions This study revealed the characteristics of PA promotion strategies that significantly improved PA-related outcomes among immigrants. Given that few studies focused solely on immigrant women or reported sub-analyses, the conceptual framework generated by this study can be used in future research to more definitively establish the design and impact of culturally-safe, community-based PA promotion for immigrant women.
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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 | 0.000 | 0.001 |
| 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 | 0.002 | 0.000 |
| 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 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".