Correlates of gambling among youth in an inner-city emergency department.
Correlates of past year gambling were examined in a diverse sample of 1128 youth ages 14 to 18 (54.1% female, 58.0% African American) presenting to an inner-city emergency department (ED). Overall, 22.5% of the sample reported past-year gambling. Male youth were more likely to gamble than female youth, and African American youth reported higher rates of past-year gambling than non-African American youth. Significant bivariate correlates of gambling included lower academic achievement, being out of school, working more than 20 hours per week, alcohol, cigarette, and marijuana use, alcohol problems, severe dating violence, moderate and severe general violence, and carrying a weapon. When examined simultaneously, being male, African American, out of school, working for pay, alcohol and marijuana use, severe general violence, and carrying a weapon all emerged as significant correlates of past-year gambling, largest amount of money gambled, and gambling frequency. In addition, involvement in severe dating violence was associated with frequency and largest amount gambled. The results suggest that gambling is common among youth in the inner city and is associated with several risk behaviors. The inner-city ED may provide a context for screening and intervention to address multiple risk behaviors. (PsycINFO Database Record (c) 2009 APA, all rights reserved).
Goldstein
Abby L
AL
Department of Psychology, York University, USA. agoldstein@oise.utoronto.ca
Walton
Maureen A
MA
Cunningham
Rebecca M
RM
Resko
Stella M
SM
Duan
Linping
L
D000293:Adolescent; D000294:Adolescent Behavior / Q000523:psychology*; D001741:Black or African American / Q000706:statistics & numerical data; D000428:Alcohol Drinking / Q000453:epidemiology; D003430:Cross-Sectional Studies; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D005715:Gambling / Q000523:psychology*; D006801:Humans; D008297:Male; D008385:Marijuana Smoking / Q000453:epidemiology; D008824:Michigan / Q000453:epidemiology; D012044:Regression Analysis; D012307:Risk Factors; D012309:Risk-Taking; D012737:Sex Factors; D011795:Surveys and Questionnaires; D014505:Urban Population / Q000706:statistics & numerical data*; D014754:Violence / Q000706:statistics & numerical data; D054041:Weapons / Q000706:statistics & numerical data