2024
Individual and social-environmental factors among young drivers informing decisions to ride with an impaired driver and drive impaired: A sequential mixed methods assessment
Vaca F, Camenga D, Li K, Zuniga V, Banz B, Iannotti R, Grayton C, Simons-Morton B, Haynie D, Curry L. Individual and social-environmental factors among young drivers informing decisions to ride with an impaired driver and drive impaired: A sequential mixed methods assessment. Traffic Injury Prevention 2024, 25: s15-s24. PMID: 39485697, PMCID: PMC11563878, DOI: 10.1080/15389588.2024.2368595.Peer-Reviewed Original ResearchInterview transcriptsHealth-related quality of lifeLongitudinal nationally representative studyMixed methods assessmentHealth-related qualityQualitative interview guideSequential explanatory mixed methods approachNEXT Generation Health StudyExplanatory mixed methods approachNationally representative studySocial environmental factorsStage 1 findingsAssessment of impairmentQuality of lifeMixed methods approachHealth StudyInterview guideData immersionJoint displaysMeasures of resilienceQualitative interviewsLatent class analysisRepresentative studyQualitative dataImpaired drivers
2023
Shared and distinct parental influences on teen impaired driving in rural and suburban contexts: A mixed methods study of young drivers
Camenga D, Li K, Banz B, Zuniga V, Iannotti R, Grayton C, Haynie D, Simons-Morton B, Curry L, Vaca F. Shared and distinct parental influences on teen impaired driving in rural and suburban contexts: A mixed methods study of young drivers. Accident Analysis & Prevention 2023, 193: 107330. PMID: 37788529, PMCID: PMC10634432, DOI: 10.1016/j.aap.2023.107330.Peer-Reviewed Original ResearchConceptsParental influenceTrajectory classesNEXT Generation Health StudyHigh schoolYoung driversParent modelingRural adolescentsImpaired driversSuburban adolescentsEcodevelopmental theoryChildren's riskImpaired behaviorMixed-methods studyAdolescentsQualitative interviewsPrevention interventionsParticipantsMethods studyContextInterviewsSchoolsPurposeful selectionRural contextSuburban contextAdulthoodDo adolescent trajectories of riding with an impaired driver and driving impaired predict similar behaviors in early adulthood?
Li K, Camenga D, Banz B, Zuniga V, Iannotti R, Grayton C, Dziura J, Haynie D, Simons-Morton B, Curry L, Vaca F. Do adolescent trajectories of riding with an impaired driver and driving impaired predict similar behaviors in early adulthood? Accident Analysis & Prevention 2023, 193: 107304. PMID: 37729749, PMCID: PMC10591885, DOI: 10.1016/j.aap.2023.107304.Peer-Reviewed Original ResearchConceptsDWI behaviorEarly adulthoodMarijuana useImpaired driversAnnual assessment wavesNEXT Generation Health StudyAdolescent trajectoriesLatent class analysis studyRepresentative longitudinal studyAssessment wavesNext participantHigher engagementTrajectory classesLongitudinal studyProspective associationsMixed-methods studyLatest followWork hoursRelated deathsLong-term effectsAdulthoodInterview 4Health StudyHealth statusGrade cohorts
2022
Trajectories and outcomes of adolescents that ride with an impaired driver/drive while impaired
Vaca FE, Li K, Haynie DL, Gao X, Camenga DR, Dziura J, Banz BC, Curry LA, Mayes L, Hosseinichimeh N, MacDonald R, Iannotti RJ, Simons-Morton B. Trajectories and outcomes of adolescents that ride with an impaired driver/drive while impaired. Journal Of Transport & Health 2022, 24: 101303. PMID: 35295763, PMCID: PMC8920071, DOI: 10.1016/j.jth.2021.101303.Peer-Reviewed Original ResearchHealth statusLater health statusLater health outcomesOutcomes of adolescentsNEXT Generation Health StudyLater healthTrajectory classesHealth StudyProspective associationsHealth outcomesRepresentative longitudinal studyAbstainersDeclinersEarly adulthoodEducation attainmentLatent class analysisImpaired driversLongitudinal studyDWIOutcomesAnnual assessmentsAdolescentsAdulthood