2019
The influence of behavioural and socioeconomic factors on the community injury rates of adolescents assessed by the south Korean emergency medical services: an ecological approach
Ahn KO, Kim J, Shin SD, Park H, Vaca FE, Park JO. The influence of behavioural and socioeconomic factors on the community injury rates of adolescents assessed by the south Korean emergency medical services: an ecological approach. BMC Public Health 2019, 19: 830. PMID: 31242881, PMCID: PMC6595560, DOI: 10.1186/s12889-019-7190-6.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent BehaviorAlcohol DrinkingBullyingEmergency Medical ServicesFemaleHumansIncidenceMalePeer GroupRepublic of KoreaResidence CharacteristicsRisk FactorsRisk-TakingRural PopulationSchoolsSex FactorsSocial ClassSocial EnvironmentSocioeconomic FactorsSurveys and QuestionnairesUrban PopulationViolenceWounds and InjuriesConceptsNeighborhood socioeconomic statusIncidence rateRisk behaviorsSchool injuriesSocioeconomic statusKorea Youth Risk Behavior SurveyConclusionThe incidence rateRegional incidence ratesCurrent alcohol consumptionEmergency medical servicesNumber of injuriesEMS recordsInjury incidenceInjury preventionYouth Risk Behavior SurveyAlcohol consumptionInjury ratesKorea Census DataInjuryRisk Behavior SurveyInjury contextSES factorsHigher educational attainmentMedical servicesSocioeconomic factors
2012
A Geographic Analysis of Collisions Involving Child Pedestrians in a Large Southern California County
Chakravarthy B, Anderson CL, Ludlow J, Lotfipour S, Vaca FE. A Geographic Analysis of Collisions Involving Child Pedestrians in a Large Southern California County. Traffic Injury Prevention 2012, 13: 193-198. PMID: 22458798, DOI: 10.1080/15389588.2011.642034.Peer-Reviewed Original ResearchConceptsChild pedestrian collisionsPercent of residentsStatewide Integrated Traffic Records SystemLatino ethnicityPedestrian injuriesLow incomeChild pedestrian crashesChild pedestrian injuriesCalifornia Statewide Integrated Traffic Records SystemHigh school educationCensus tractsPedestrian crashesPedestrian collisionsRichest quartileTractSocioeconomic factorsSocioeconomic correlatesStrongest predictorRecord systemPoorest quartileInjuryQuartileSouthern California countiesCounty censusChild pedestrians