A multilevel analysis of neighborhood context and youth alcohol and drug problems

被引:144
作者
Duncan S.C. [1 ,2 ]
Duncan T.E. [1 ]
Strycker L.A. [1 ]
机构
[1] Oregon Research Institute, Eugene, OR
[2] Oregon Research Institute, Eugene, OR 97403
关键词
Multilevel; Neighborhood; Social cohesion; Substance use;
D O I
10.1023/A:1015483317310
中图分类号
学科分类号
摘要
Various sources of data were used to examine hypothesized relations among neighborhood variables and youth alcohol and drug problems. Family members (N = 1186) were from 55 neighborhoods: 57% female, 41% African American, and 59% White. Data were clustered by neighborhood and analyzed within a multilevel design. At the neighborhood level, the study examined relations among poverty, stores selling alcohol, neighborhood social cohesion, neighborhood problems with youth alcohol and drug use, and drug and alcohol arrests. At the individual level, gender, ethnicity, adult versus child status, neighborhood social cohesion, and neighborhood problems were examined. Results indicated that more stores sold alcohol in higher poverty neighborhoods, which was associated with less social cohesion. Lower social cohesion was related to greater perceived neighborhood problems with youth alcohol and drug use, which was positively related to neighborhood youth drug and alcohol arrests. The study showed significant variation across neighborhoods and demonstrates the utility of combining different sources of neighborhood data to examine relations of interest. © 2002 Society for Prevention Research.
引用
收藏
页码:125 / 133
页数:8
相关论文
共 26 条
[1]  
Bentler P.M., EQS: Structural Equations Program, (2001)
[2]  
Bursik Jr. R.J., Ecological Theories of Crime and Delinquency since Shaw and McKay, (1984)
[3]  
Byrne J., Sampson R.J., Key issues in the social ecology of crime, The Social Ecology of Crime, pp. 1-22, (1986)
[4]  
Coulton C., Korbin J., Su M., Chow J., Community level factors and child maltreatment rates, Child Development, 66, pp. 1262-1276, (1995)
[5]  
Crane J., The epidemic theory of ghettos and neighborhood effects on dropping out and teenage childbearing, American Journal of Sociology, 96, pp. 1226-1259, (1991)
[6]  
Duncan T.E., Duncan S.C., Alpert A., Hops H., Stoolmiller M., Muthen B., Latent variable modeling of longitudinal and multilevel substance use data, Multivariate Behavioral Research, 32, 3, pp. 275-318, (1997)
[7]  
Duncan T.E., Duncan S.C., Glass K.A., BW for Windows: Two-Stage SEM Multilevel Modeling Software, (2001)
[8]  
Duncan T.E., Duncan S.C., Strycker L.A., Li F., Alpert A., An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications, (1999)
[9]  
Ensminger M.E., Lamkin R.P., Jacobson N., School leaving: A longitudinal perspective including neighborhood effects, Child Development, 67, pp. 2400-2416, (1996)
[10]  
Gruenewald P.J., Millar A.B., Treno A.J., Alcohol availability and the ecology of drinking behavior, Alcohol Health and Research World, 17, pp. 39-45, (1993)