Youth gender differences in alcohol use: A prospective study of multiple youth assets and the neighborhood environment

Roy F. Oman, Eleni L. Tolma, Sara K. Vesely, Cheryl B. Aspy

Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, USA.
Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, USA.
Department of Health Promotion Sciences, University of Oklahoma Health Sciences Center, Oklahoma City, USA.

DOI: 10.4236/ojpm.2013.32030                

Abstract

Research has identified factors (assets) that protect youth from engaging in risk behaviors including alcohol use. Very little research has examined asset/nonuse of alcohol associations by youth gender or determined if asset/nonuse of alcohol associations are influenced by the neighborhood environment. The purpose of the study was to determine if multiple youth assets and neighborhood factors are differentially associated with youth nonuse of alcohol by gender. Method: Five waves of data were collected annually from households (N = 1111) randomly selected to participate in the Youth Asset Study. Seventeen assets and 6 neighborhood factors assessed at waves 1 - 4 were analyzed longitudinally using marginal logistic regression to predict nonuse of alcohol at waves 2 - 5. Results: Sample mean age was 14.3 years, 52% female; 39% white, 28% Hispanic, 23% African-American, and 9% other. Numerous assets were prospec- tively associated with alcohol nonuse for females (12 assets) and males (16 assets). Three assets were significantly more protective from alcohol use for males compared to females. Final modeling indicated that three assets were protective from alcohol use for both genders and that one asset was protective only for males. There were no significant associations between the neighborhood variables and nonuse of alcohol, and the neighborhood variables did not influence the asset/nonuse of alcohol associations. Conclusions: Youth assets appear to protect both genders from future alcohol use but males may benefit even more from asset-building prevention programming. Youth alcohol use and alcohol nonuse/asset associations may not be influenced by the neighborhood environment.

Keywords

Youth Tobacco Use; Youth Assets; Gender Analyses; Neighborhood Environment

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Centers for Disease Control and Prevention (2012) Youth Risk Behavior Surveillance System (YRBSS). http://www.cdc.gov/HealthyYouth/yrbs/index.htm
[2]	Jessor, R.J., Turbin, M.S. and Costa, F.M. (1998) Protective factors in adolescent health behavior. Journal of Personality and Social Psychology, 75, 788-800. doi:10.1037/0022-3514.75.3.788
[3]	Fergus, S. and Zimmerman, M.A. (2005) Adolescent resilience: A framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26, 399-419. doi:10.1146/annurev.publhealth.26.021304.144357
[4]	Oman, R.F., et al. (2004) The association between multiple youth assets and sexual behavior. American Journal of Health Promotion, 19, 12-18. doi:10.4278/0890-1171-19.1.12
[5]	Oman, R.F., et al. (2010) Reliability and validity of the youth asset survey: An update. American Journal of Health Promotion, 25, e13-e24. doi:10.4278/ajhp.081009-QUAN-242
[6]	Johnson, K., et al. (1996) Reducing alcohol and other drug use by strengthening community, family, and youth resiliency. Journal of Adolescent Research, 11, 36-67. doi:10.1177/0743554896111004
[7]	Oman, R.F., et al. (2004) The potential protective effect of youth assets on adolescent alcohol and drug use. American Journal of Public Health, 94, 1425-1430. doi:10.2105/AJPH.94.8.1425
[8]	Scheier, L.M., Botvin, G.J. and Miller, N.L. (2000) Life events, neighborhood stress, psychosocial functioning, and alcohol use among urban minority youth. Journal of Child & Adolescent Substance Abuse, 9, 19-50. doi:10.1300/J029v09n01_02
[9]	Brenner, A., Bauermeister, J. and Zimmerman, M. (2011) Neighborhood variation in adolescent alcohol use: Examination of socioecological and social disorganization theories. Journal of Studies on Alcohol and Drugs, 72, 651-659.
[10]	Resnick, M.D., et al. (1997) Protecting adolescents from harm: Findings from the National Longitudinal Study on Adolescent Health. Journal of the American Medical Association, 278, 823-832. doi:10.1001/jama.1997.03550100049038
[11]	McLeroy, K., et al. (1988) An ecological perspective on health promotion programs. Health Education Quarterly, 15, 351-377. doi:10.1177/109019818801500401
[12]	Donovan, J.E. (2004) Adolescent alcohol initiation: A review of psychosocial risk factors. The Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine, 35, 529.e7-529.e18.
[13]	Leventhal, T. and Brooks-Gunn, J. (2000) The neighborhoods they live in: The effects of neighborhood residence on child and adolescent outcomes. Psychological Bulletin, 126, 309-337. doi:10.1037/0033-2909.126.2.309
[14]	Shaw, C.R. and McKay, H.D. (1942) Juvenile delinquency and urban areas. University of Chicago Press, Chicago.
[15]	Sampson, R.J. and Groves, W.B. (1989) Community structure and crime: Testing social-disorganization theory. American Journal of Sociology, 94, 774-802. doi:10.1086/229068
[16]	Bursik, R.J. (1988) Social disorganization and theories of crime and delinquency: Problems and prospects. Criminology, 26, 519-552. doi:10.1111/j.1745-9125.1988.tb00854.x
[17]	Cantillon, D., Davidson II, W.S. and Schweitzer, J.H. (2003) Measuring community social organization: Sense of community as a mediator in social disorganization theory. Journal of Criminal Justice, 31, 321-339. doi:10.1016/S0047-2352(03)00026-6
[18]	Sampson, R., Raudenbush, S. and Earls, F. (1997) Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, 277, 918-924. doi:10.1126/science.277.5328.918
[19]	Duncan, S., Duncan, T. and Strycker, L. (2002) A multilevel analysis of neighborhood context and youth alcohol and drug problems. Prevention Science, 3, 125-133. doi:10.1023/A:1015483317310
[20]	Wilson, J. and Kelling, G. (1982) The police and neighborhood safety: Broken windows. The Atlantic Monthly, 127, 29-38.
[21]	Cohen, D., et al. (2000) “Broken Windows” and the risk of gonorrhea. American Journal of Public Health, 90, 230-236. doi:10.2105/AJPH.90.2.230
[22]	Oman, R.F., et al. (2009) Methodological considerations in a community-based longitudinal study. American Journal of Health Behavior, 33, 58-68. doi:10.5993/AJHB.33.1.6
[23]	The American Association for Public Opinion Research (2004) Standard definitions: Final dispositions of case codes and outcome rates for surveys. 3rd Edition, The American Association for Public Opinion Research (AAPOR), Lenexa.
[24]	Oman, R.F., et al. (2002) Reliability and validity of the youth asset survey (YAS). Journal of Adolescent Health, 31, 247-255. doi:10.1016/S1054-139X(02)00363-4
[25]	Kegler, M., et al. (2003) An asset-based youth development model for preventing teen pregnancy: Illustrations from the HEART of OKC project. Health Education, 103, 131-144. doi:10.1108/09654280310472351
[26]	Aronson, R. and O’Campo, P. (1997) Neighborhood transformation: A report on neighborhood changes in physical, social, political and economic conditions between 1993 and 1997 in the Baltimore City Healthy Start Target Areas and Control Area. Healthy Start Policy Office, Baltimore City, 1-45.
[27]	Kegler, M.C., et al. (2005) Relationships among youth assets and neighborhood and community resources. Health Education and Behavior, 32, 380-397. doi:10.1177/1090198104272334
[28]	Buka, S.L., et al. (2003) Neighborhood support and the birth weight of urban infants. American Journal of Epidemiology, 157, 1-8. doi:10.1093/aje/kwf170
[29]	McMillan, D. and Chavis, D. (1986) Sense of community: A definition and theory. Journal of Community Psychology, 14, 6-23. doi:10.1002/1520-6629(198601)14:1<6::AID-JCOP2290140103>3.0.CO;2-I
[30]	Card, J., et al. (1999) Prevention Minimum Evaluation Data Set (PMEDS). 3rd Edition, Program Archive on Sexuality, Health and Adolescence (PASHA), Los Altos.
[31]	Pepe, M. and Anderson, G. (1994) A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data. Communication in Statistics-Simulation and Computation, 23, 939951. doi:10.1080/03610919408813210
[32]	Mueller, T., et al. (2010) Youth assets and sexual risk behavior: Differences between male and female adolescents. Health Education and Behavior, 37, 343-356. doi:10.1177/1090198109344689
[33]	DiClemente, R.J., et al. (2001) Parental monitoring: Association with adolescents’ risk behaviors. Pediatrics, 107, 1363-1368. doi:10.1542/peds.107.6.1363
[34]	Scheier, L.M., et al. (2000) Dynamic growth models of self-esteem and adolescent alcohol use. The Journal of Early Adolescence, 20, 178-209. doi:10.1177/0272431600020002004
[35]	Blum, R.W., et al. (2000) The effects of race/ethnicity, income, and family structure on adolescent risk behaviors. American Journal of Public Health, 90, 1879-1884. doi:10.2105/AJPH.90.12.1879
[36]	Oman, R.F., et al. (2002) An adolescent age group approach to examining youth risk behaviors. American Journal of Health Promotion, 16, 167-176. doi:10.4278/0890-1171-16.3.167
[37]	Rainey, C.J., et al. (1996) Patterns of tobacco and alcohol use among sedentary, exercising, nonathletic, and athletic youth. Journal of School Health, 66, 27-32. doi:10.1111/j.1746-1561.1996.tb06254.x
[38]	Peretti-Watel, P., et al. (2003) Sporting activity and drug use: Alcohol, cigarette and cannabis use among elite student athletes. Addiction, 98, 1249-1256. doi:10.1046/j.1360-0443.2003.00490.x