Predictors of Collateral Consequences From Marijuana-Related Police “Stop, Question and Frisk” Experiences for Black and Latinx Adults—and Their Views on the “Stop” Coping Strategies, Reparations, and Marijuana Equity

This study created the new Collateral Consequences Survey on Marijuana-Related Stop, Question, and Frisk Experiences tool. The tool was administered to a sample (N = 73) 65.8% (N = 48) male, 31.5% (N = 23) female, 68.5% (N = 50) Black, 31.5% (N = 23) Latinx, with 90.4% (N = 66) born in the United States—with a mean age of 30.04 years (min =18, max = 55, SD = 9.42). Some 46.6% (N = 34) completed a Bachelor’s degree or higher, while 63% (N = 46) were employed—with a mean annual household income of $40,000 to $49,000 (mean = category 4.23, min = 1, max = 11, SD = 1.899). Participants suffered multiple long-lasting damages as collateral consequences from Stop, Question, and Frisk. Pearson Correlations showed the higher the global collateral consequences scores, then lower Age (r = -.572, p = .000); darker Skin Color (r = .281, p = .016); lower Income (r = -.269, p = 023); lower Life Satisfaction (r = -.469, p = .000); more Negative Impact on Physical Health (r = -.264, p = .024); more Negative Impact on Mental Health (r = -.413, p = .000); lower BMI (Body Mass Index) (r = -.439, p = .000); greater frequency of various types of marijuana-related police contact (r = .580, p = .000); and greater extent of invasive experiences with police (r = .117, p = .000). While controlling for social desirability, the significant predictors of the study outcome variable of the Global Collateral Consequences Score (GCCS-8) were as not born in the US (β = -.607, SEB = .294, p = .044); lower life satisfaction (β = -.141, SEB = .044, p = .002); lower Body Mass Index (β = -.042, SEB = .010, p = .000); more positive attitudes on marijuana equity and reparations (β = .347, SEB = .099, p = .001); greater frequency of various types of marijuana-related police contact (β = -.232, SEB = .099, p = .024); and greater extent of invasive experiences with police (β = .324, SEB = .084, p = .000). This model accounted for 62.4% of the variance (R2 = 0.669 and Adj R2 = 0.624). Qualitative data expanded on the quantitative data findings. Implications and recommendations covered how the new tool created for this study may be used in future research and for screening purposes to identify those needing interventions from police stress and trauma.