title: Neighborhood disadvantage and changes in condom use among African American adolescents.
abstract: Neighborhood context may influence youth sexual decision-making. We examined the association between neighborhood characteristics and condom use in a sample of African American youth followed across the high school years (N = 681; 51% female). Using a three-level hierarchical linear model, we modeled inconsistent condom use over time and then examined its association with youth's sexual risk trajectories (sexual intercourse frequency, number of partners, and pregnancy concerns) and individual-level characteristics (sex, age, SES, and household composition), and neighborhood disadvantage. While sexual intercourse frequency was associated with inconsistent condom use over time, youth reporting greater pregnancy concerns and number of partners reported more consistent condom use over time. Females were more likely to report more inconsistent condom use over time. Neighborhood disadvantage characteristics were associated with less baseline condom use, but did not have an association with changes in youth's condom use over the high school years. We discuss the implications for community-based HIV/AIDS prevention for youth.
authors.affiliation: University of Michigan, Ann Arbor, MI, USA. jbauerme@umich.edu
authors.forename: Jose A
authors.initials: JA
authors.lastname: Bauermeister
authors.forename: Marc A
authors.initials: MA
authors.lastname: Zimmerman
authors.forename: Cleopatra H
authors.initials: CH
authors.lastname: Caldwell
mesh_terms: D000293:Adolescent; D001741:Black or African American / Q000706:statistics & numerical data*; D000367:Age Factors; D017280:Condoms / Q000191:economics / Q000706:statistics & numerical data*; D005260:Female; D006266:Health Education; D054624:Health Status Disparities; D006801:Humans; D016014:Linear Models; D008297:Male; D008824:Michigan; D008960:Models, Psychological; D011203:Poverty / Q000706:statistics & numerical data*; D011446:Prospective Studies; D011582:Psychological Theory; D012307:Risk Factors; D012309:Risk-Taking; D019529:Sexuality / Q000523:psychology / Q000706:statistics & numerical data*; D012749:Sexually Transmitted Diseases / Q000517:prevention & control; D012959:Socioeconomic Factors; D014481:United States