Objectively-measured Environmental Support for Physical Activity, Healthy Eating, and Breastfeeding Supports in the Rural United States: A Scoping Review to Inform Opportunities for Public Health Surveillance
Bibliographic record
Abstract
The purpose of this scoping review was to identify objectively-measured environmental factors that impact physical activity (PA), healthy eating (HE), and/or breastfeeding practices among rural communities in the United States. A secondary aim was to assess measurement approaches for assessing rural environments and resource access. Searches, informed by a scientific librarian, occurred from February to July 2020. Grey literature was identified using Google, Google Scholar, Google government pages, public health, federal nutrition assistance program, Cooperative Extension Services, and related webpages. Medline, PubMed, Web of Science, and Agricola academic databases were selected to identify peer-reviewed research. ProQuest Global was used to identify dissertation/thesis research. Inclusion criteria included: (1) focus on PA, HE, and/or breastfeeding; (2) environmental approaches assessed using objective measures; (3) specific to U.S. rural populations/contexts; and (4) English language. PA environment results (n=49) focused on initiatives in parks and recreational settings, streets or sidewalks, schools, trails and greenways, workplaces, and churches. HE environment results (n=84) focused on initiatives in retail environments, schools/childcare settings, food assistance programs, local food producers, and hospital or healthcare settings. Breastfeeding environment results (n=11) focused on healthcare settings, workplace settings, and food retail settings. To measure PA, HE, and breastfeeding environments, audits, scans, and administrative data were mostly used. Results from this scoping review were used to create recommendations for environmental changes that may improve PA, HE, and breastfeeding in under-resourced, rural communities. Researchers and practitioners can also use findings from this study to understand best practices for objectively measuring environmental resources in rural contexts.
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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 | 0.017 | 0.070 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.017 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".