Biomaterial Database

Who's not driving among U.S. high school seniors: A closer look at race/ethnicity, socioeconomic factors, and driving status. 2016

Ruth A Shults, and Tanima Banerjee, and Timothy Perry

a Division of Unintentional Injury Prevention , National Center for Injury Prevention and Control , Atlanta , Georgia.

We examined associations among race/ethnicity, socioeconomic factors, and driving status in a nationally representative sample of >26,000 U.S. high school seniors. Weighted data from the 2012 and 2013 Monitoring the Future surveys were combined and analyzed. We imputed missing values using fully conditional specification multiple imputation methods. Multivariate logistic regression modeling was conducted to explore associations among race/ethnicity, socioeconomic factors, and driving status, while accounting for selected student behaviors and location. Lastly, odds ratios were converted to prevalence ratios. 23% of high school seniors did not drive during an average week; 14% of white students were nondrivers compared to 40% of black students. Multivariate analysis revealed that minority students were 1.8 to 2.5 times more likely to be nondrivers than their white counterparts, and students who had no earned income were 2.8 times more likely to be nondrivers than those earning an average of ≥$36 a week. Driving status also varied considerably by student academic performance, number of parents in the household, parental education, census region, and urbanicity. Our findings suggest that resources-both financial and time-influence when or whether a teen will learn to drive. Many young people from minority or lower socioeconomic families who learn to drive may be doing so after their 18th birthday and therefore would not take advantage of the safety benefits provided by graduated driver licensing. Innovative approaches may be needed to improve safety for these young novice drivers.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D011795	Surveys and Questionnaires	Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions.	Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D001741	Black or African American	A person having origins in any of the black racial groups of Africa (https://www.federalregister.gov/documents/1997/10/30/97-28653/revisions-to-the-standards-for-the classification-of-federal-data-on-race-and-ethnicity). In the United States it is used for classification of federal government data on race and ethnicity. Race and ethnicity terms are self-identified social construct and may include terms outdated and offensive in MeSH to assist users who are interested in retrieving comprehensive search results for studies such as in longitudinal studies.	African American,African Americans,African-American,Afro-American,Afro-Americans,Black Americans,Blacks,Negroes,African-Americans,Negro,Afro American,Afro Americans,American, African,American, Black,Black American
D005260	Female		Females
D006630	Hispanic or Latino	A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin, regardless of race (https://www.federalregister.gov/documents/1997/10/30/97-28653/revisions-to-the-standards-for-the-classification-of-federal-data-on-race-and-ethnicity). In the United States it is used for classification of federal government data on race and ethnicity. Race and ethnicity terms are self-identified social construct and may include terms outdated and offensive in MeSH to assist users who are interested in retrieving comprehensive search results for studies such as in longitudinal studies.	Cuban Americans,Hispanic Americans,Latin Americans, US,Latinas,Latinos,Latinx,Puerto Ricans,Spanish Americans,Hispanics,American, Hispanic,American, US Latin,Cuban American,Hispanic American,Hispanic or Latinos,Latin American, US,Latina,Latino,Puerto Rican,Spanish American,US Latin American,US Latin Americans
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293	Adolescent	A person 13 to 18 years of age.	Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D001334	Automobile Driving	The effect of environmental or physiological factors on the driver and driving ability. Included are driving fatigue, and the effect of drugs, disease, and physical disabilities on driving.	Automobile Drivings,Driving, Automobile,Drivings, Automobile
D012959	Socioeconomic Factors	Social and economic factors that characterize the individual or group within the social structure.	Economic and Social Factors,Social Inequalities,Social Inequality,Social and Economic Factors,Socioeconomic Characteristics,Factors, Socioeconomic,High-Income Population,Land Tenure,Standard of Living,Characteristic, Socioeconomic,Factor, Socioeconomic,High Income Population,High-Income Populations,Inequality, Social,Living Standard,Living Standards,Population, High-Income,Socioeconomic Characteristic,Socioeconomic Factor,Tenure, Land
D013334	Students	Individuals enrolled in a school or formal educational program.	School Enrollment,Enrollment, School,Enrollments, School,School Enrollments,Student