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Record W1967946958 · doi:10.1249/mss.0000000000000274

Sociodemographic Moderators of Relations of Neighborhood Safety to Physical Activity

2014· article· en· W1967946958 on OpenAlexaff
Jordan Carlson, Nicole L. Bracy, James F. Sallis, Rachel Millstein, Brian E. Saelens, Jacqueline Kerr, Terry L. Conway, Lawrence D. Frank, Kelli L. Cain, ­Abby C. King

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsVancouver Community CollegeUniversity of British Columbia
FundersNational Heart, Lung, and Blood Institute
KeywordsEthnic groupModerationDemographyPhysical activityPsychologyInjury preventionPoison controlGerontologySuicide preventionOccupational safety and healthMedicineEnvironmental healthSocial psychologyPhysical therapySociology

Abstract

fetched live from OpenAlex

PURPOSE: This study aimed to investigate gender, race/ethnicity, education, and income as moderators of relations of perceived neighborhood crime, pedestrian, and traffic safety to physical activity. METHODS: Participants were from two samples: adults (N = 2199, age = 25-65 yr) and older adults (N = 718, age = 66+ yr) from high- and low-walkable neighborhoods in the Washington, DC, and Seattle, Washington, areas. Neighborhood safety and transportation and leisure walking were assessed via survey, and moderate to vigorous physical activity was assessed using accelerometers. Sociodemographic moderators were investigated using interaction terms and follow-up within-group tests from mixed-effects regression models. RESULTS: Overall direct effects of safety on physical activity were not found, with one exception. Seven interactions were found in each sample. Interactions were found for all physical activity outcomes, although total moderate to vigorous physical activity was involved in more interactions in adults than older adults. Half of the interactions revealed significant positive relations of pedestrian and traffic safety to physical activity in the more affluent/advantaged group (i.e., high education, high income, and non-Hispanic white) and null associations in the less affluent/advantaged group. Race/ethnicity was a moderator only in older adults. One-third of the interactions involved gender; half of these involved crime safety. Interactions involving crime safety showed nonsignificant positive trends in the more affluent/advantaged group and women and nonsignificant negative trends in the less affluent/advantaged group and men. CONCLUSIONS: Sociodemographic moderators of neighborhood safety explained some of the variation in adults' and older adults' physical activity. Patterns suggested positive associations between safety and physical activity in participants with more affluent/advantaged sociodemographic characteristics, although some patterns were inconsistent, particularly for gender. More refined conceptualizations and measures of safety are needed to understand if and how these constructs influence physical activity.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.305
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations44
Published2014
Admission routes1
Has abstractyes

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