Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Addict Behav. 2019 Dec 17;103:106253. doi: 10.1016/j.addbeh.2019.106253

The role of perceived discrimination in substance use trajectories in Hispanic young adults: A longitudinal cohort study from high school through emerging adulthood.

Christopher J Rogers 1,*, Myriam Forster 2, Steven Vetrone 2, Jennifer B Unger 1
PMCID: PMC6995348  NIHMSID: NIHMS1547845  PMID: 31869743

Abstract

Purpose:

Associations between discrimination and substance use have been identified cross-sectionally in multiple populations including Hispanics. However, there is limited research exploring this phenomenon longitudinally in Hispanic youth over the transition from adolescence through emerging adulthood (EA).

Methods:

Hispanic youth in Southern California (n=1457) completed surveys over 11 years, from 2006 to 2017, including three high school collection waves and five EA collection waves. Multinomial logistic regression models were used to explore the associations between perceived discrimination during high school and cigarette and marijuana use in both high school and EA, controlling for gender, socioeconomic status, acculturation, and EA discrimination.

Results:

Compared with those who never used cigarettes or marijuana in high school and EA, perceived discrimination in high school was a significant predictor of two patterns of use: high school initiators who discontinued use of smoking (RRR=1.677, 95%CI=1.292–2.176) and/or marijuana (RRR=1.464, 95%CI=1.162–1.844), and high school initiators who continued smoking (RRR=1.492, 95%CI=1.196–1.861) and/or marijuana use (RRR=1.249, 95%CI=1.052–1.482) into EA. For late initiators who did not use in high school but started in EA, perceived high school discrimination was a significant predictor for cigarette smoking (RRR=1.193, 95%CI=1.036–1.373) but not for marijuana use

Conclusions:

Perceived discrimination during adolescence is associated with substance use trajectories across both adolescence and EA. Culturally tailored prevention programs that provide training in skills to cope with psychosocial stressors could improve Hispanic adolescent health.

Introduction:

Discriminatory stressors adversely impact psychological and behavioral health (Ahmed, Mohammed, & Williams, 2007; Forster, Grigsby, Soto, Sussman, & Unger, 2017; Paradies, 2013). Discrimination, a person’s perception of receiving differential treatment due to negative attitudes and inflexible stereotypes about membership in a specific racial/ethnic group (e.g. exclusion, restriction, preference, favor, or fairness) (Council, 2004; Hecht, 1998; Sue et al., 2007; Williams, Neighbors, & Jackson, 2003), can strain an individual’s internal resources, undermine adaptive coping (Slopen et al., 2012), and increase vulnerability for substance use. Extant research has demonstrated that in comparison to their non-Hispanic White peers, ethnic minority adolescent development and health behaviors are uniquely impacted by acculturative stressors (Romero, Martinez, & Carvajal, 2007; Schwartz et al., 2012; Unger, Schwartz, Huh, Soto, & Baezconde-Garbanati, 2014).

Background:

Hispanics are the largest ethnic minority group in the U.S. (U.S. Census Bureau, 2011) and Hispanic adolescents report the second highest rates (after non-Hispanic whites) of past 30-day cigarette, alcohol, and marijuana use (Pérez, Fortuna, & Alegria, 2008; Unger et al., 2014). Despite the strong link between discrimination and maladaptive coping responses such as substance use among Hispanic adolescents, most substance use prevention and intervention programs do not address sociocultural stressors (Pérez et al., 2008; Rogers, Forster, & Unger, 2018; Unger et al., 2014).

Adolescence and early adulthood are critical life stages in which substance-use behaviors emerge (Sussman & Arnett, 2014). Health behaviors adopted during these periods often continue into later adulthood (Kilpatrick et al., 2000; Sussman & Arnett, 2014). Among ethnic minority youth and young adults, there is evidence that discrimination and sociocultural stressors undermine effective self-regulation and increase the risk of tobacco and marijuana use to gain short-term relief from distressing emotions (Koob & Le Moal, 2002; Rogers et al., 2018; Slopen et al., 2013). However, it is unclear whether discrimination is differentially associated with early or later substance use initiation. Considering the importance of the acculturative processes in Hispanic adolescent development and potential gender differences in health outcomes, it is important to assess the association between discrimination and health outcomes accounting for acculturation and demographic differences (Lorenzo-Blanco, Unger, Ritt-Olson, Soto, & Baezconde-Garbanati, 2011).

This study builds upon prior research by exploring the association between discrimination and adolescent and emerging adult substance use initiation (cigarettes and marijuana) longitudinally. The following hypotheses were tested: 1) higher levels of perceived discrimination during adolescence will be positively associated with initiation of cigarette use during high school and initiation of cigarette use during EA; 2) higher levels of discrimination during adolescence will be associated with initiation of marijuana use during high school and marijuana use initiation during EA. We also explored whether experiencing discrimination during EA was associated with initiation or sustained cigarette and marijuana use.

Methods:

Data were from Project RED, a longitudinal study of Hispanic youth (Unger, 2018). Adolescents attending seven predominantly Hispanic high schools in Southern California were surveyed in 9th, 10th and 11th grades (Unger, 2018). Respondents were contacted again after high school and those who agreed to participate in the EA waves were followed from 2006 to 2017. The EA sample includes participants who self-identified as Hispanic and provided responses for at least one timepoint during the high school collection period and at least one timepoint during the EA collection period (Unger et al., 2014). The final analytic sample (n=1457) included respondents who provided complete data on all variables in the analysis.

Measures:

Past-month use of cigarettes and marijuana were assessed in high school and EA. Respondents were classified into one of four groups. Non-users were respondents who reported never using in their lifetime at all reported waves. High school initiators were respondents who reported any past-month use at any survey wave during high school. “Late” initiators were respondents who reported any past-month use at any point during EA but not in high school. Consistent users were respondents who reported past-month use during both high school and EA. These categories were coded separately for cigarette and marijuana use (i.e., a respondent could be a non-user of marijuana but a high school initiator of cigarettes).

Discrimination was measured with the Everyday Discrimination Scale, a 10-item measure of self-reported experiences of discrimination (Essed, 1991; Guyll, Matthews, & Bromberger, 2001; Williams, Yu, Jackson, & Anderson, 1997) (Lewis, Yang, Jacobs, & Fitchett, 2012). Discrimination scores were calculated for each survey wave and averaged to produce a single average high school discrimination score (Cronbach’s Alpha=0.898) and EA discrimination score (Cronbach’s Alpha=0.967). Scores were standardized to a mean of 0 and a standard deviation of 1 for meaningful interpretations.

Acculturation was measured with a bidimensional short form Acculturation Rating Scale for Mexican Americans-II (Cuellar, Arnold, & Maldonado, 1995). The U.S. orientation (Cronbach’s alpha =0.77) and Hispanic orientation (Cronbach’s alpha =0.90) subscales were summed from seven and six questions, respectively.

Self-reported demographics included sex at birth coded as female=1 male=0 and nativity measured as US born=1 and non-US born=0. SES was estimated with a composite measure comprised of parental education, number of people per room in the household, and whether the student received school lunch assistance. Consistent with previous work assessing adolescent self-reported SES, these variables were standardized and summed (Bradley & Corwyn, 2002; Unger, Ritt-Olson, Wagner, Soto, & Baezconde-Garbanati, 2009; Unger et al., 2014).

Analysis:

Two separate multinomial logistic regression models were built using SAS PROC LOGISTIC with the GLOGIT link function to assess the relative risk of respondents being in one of the four mutually exclusive substance-use response categories. Multinomial regression analysis examined the relationship between cigarette and marijuana use initiation and average discrimination in both high school and EA, controlling for sex, acculturation, and SES. Because high school and EA discrimination were moderately intercorrelated (r=0.3864 p>0.001), each was iteratively entered into the model to assess multicollinearity. Both were left in the model since the findings remained constant. As a sensitivity analysis, the analyses were repeated using lifetime use instead of past 30-day use. The findings were very similar, so the analyses using past 30-day use are reported here to reflect current use. Although nativity is an important predictor of Hispanic health, when controlling for acculturation and other covariates nativity was no longer a predictor of substance use in any wave. To maintain power and parsimony, nativity was removed from the final models.

Results:

The majority of participants were female (58%) and born in the US (88%). At wave one (high school), the average age was 14 years and at wave 8 (EA), the average age was 26 years. Most participants never used cigarettes (57%), followed by 30% who initiated use in EA, 8% who initiated use in high school and continued use into EA, and 5% who initiated use in high school but did not continue use in EA. Nearly half of the sample never used marijuana (47%), followed by 30% who initiated use in EA, 16% who initiated use in high school and continued use into EA, and 7% who initiated use in high school but did not continue use in EA. When exploring the patterns of marijuana and cigarette use across the entire study, of the 60% that used either marijuana or tobacco half used both.

High school discrimination and sex were significant predictors across initiation categories relative to never using for cigarette and marijuana use. Compared with those who never smoked cigarettes, every standard deviation increase in discrimination scores during adolescence was significantly associated with being a high school initiator of cigarette use, both in the group that quit after high school and the group that continued smoking (RRR=1.677, 95%CI=1.292–2.176; RRR=1.492, 95%CI=1.196–1.861 respectively), while controlling for sex, SES level, acculturation and EA discrimination. Similarly, for late initiation of cigarettes, compared to those who never smoked cigarettes, every standard deviation increase in perceived discrimination scores during high school was significantly associated with no high school use but smoking in EA (RRR=1.193, 95%CI=1.036–1.373), adjusting for the same covariates.

Relative to males, females reported lower risk of high school initiation with continued use and EA initiation (RRR=0.575, 95%CI=0.381–0.867; RRR=0.431, 95%CI=0.337–0.550 respectively) after controlling for SES level, acculturation, and discrimination, across both time periods. Females had lower relative risk of cigarette use than males in EA (Table 1).

Table 1.

Multinomial logistic regression assessing factors associated with past 30-day cigarette and past 30-day marijuana use (N=1457)

Outcome Category Variable Cigarette Use RRR 95% CI Marijuana Use RRR 95% CI
Use in high school but no use in emerging adulthood
Cigarette Use (n=74)
Marijuana Use (n=103)
HS Discrimination 1.677*** 1.464**
(1.292, 2.176) (1.162, 1.844)
EA Discrimination 0.797 0.834
(0.607, 1.045) (0.657, 1.058)
Hispanic Orientation 0.959* 0.947**
Scale (0.921, 0.998) (0.915, 0.980)
U.S. Orientation 0.983 1.012
Scale (0.928, 1.042) (0.961, 1.067)
Female 1.264 1.152
(0.747, 2.137) (0.741, 1.789)
Use in high school and use in emerging adulthood
Cigarette Use (n=112)
Marijuana Use (n=229)
HS Discrimination 1.492*** 1.249*
(1.196, 1.861) (1.052, 1.482)
EA Discrimination 0.969 1.163
(0.778, 1.207) (0.986, 1.373)
Hispanic Orientation 0.955** 0.956***
Scale (0.924, 0.987) (0.932, 0.980)
U.S. Orientation 1.006 1.042*
Scale (0.957, 1.056) (1.001, 1.083)
Female 0.575** 0.806
(0.381, 0.867) (0.589, 1.102)
No use in high school but use in emerging adulthood
Cigarette Use (n=436)
Marijuana Use (n=436)
HS Discrimination 1.193* 1.098
(1.036, 1.373) (0.960, 1.257)
EA Discrimination 1.006 1.110
(0.882, 1.148) (0.970, 1.269)
Hispanic Orientation 0.984 0.968**
Scale (0.965, 1.004) (0.948, 0.988)
U.S. Orientation 1.052** 1.028
Scale (1.020, 1.085) (0.997, 1.060)
Female 0.431*** 0.771*
(0.337, 0.550) (0.600, 0.990)

All models adjust for sex and high school SES. Reference group=those who did not use in both HS and EA years (n=835 for cigarette use and n=689 for marijuana use), EA= emerging adulthood, HS=high school, RRR= relative risk ratio, 95%CI= 95% Confidence interval,

*

=p<0.05,

**

=p<0.01,

***

=p<0.001,

As with cigarettes, compared to those who never used marijuana, higher discrimination scores were associated with high school initiation of marijuana use, both in the group that discontinued use after high school and the group that continued using in EA (RRR=1.464, 95%CI=1.162–1.844; RRR=1.249, 95%CI=1.052–1.482 respectively), adjusting for sex, SES, acculturation, and EA discrimination. There was no association between discrimination scores in high school and late initiation of marijuana use or with EA discrimination and marijuana use across any category when controlling for high school discrimination and other covariates. Females reported lower relative risk of late initiation (RRR=0.771, 95%CI=0.600–0.990) for respondents of the same SES level, acculturation level, and level of discrimination than males across both time periods (Table 1), which is consistent with cigarette use.

Relative to those who did not use substances, higher levels of Hispanic orientation were associated with lower risk of initiation in both high school initiators who discontinued use (RRR=0.959, 95%CI=0.921–0.998) and high school initiators who continued use (RRR=0.955, 95%CI=0.924–0.987) but not for initiation in EA. For marijuana use, higher levels of Hispanic orientation were associated with lower relative risk of initiation across all levels: school initiators who discontinued use (RRR=, 95%CI=0.915–0.980), high school initiators who continued use (RRR=0.956, 95%CI=0.932–0.980), and EA initiation (RRR=0.968, 95%CI=0.948–0.988). In contrast, higher levels of U.S. orientation were associated with EA cigarette initiation (RRR=1.051, 95%CI=1.019, 1.084) and high school marijuana initiation with continued use into EA (RRR=1.041, 95%CI=1.001, 1.081) (Table 1).

Discussion:

This study contributes to the limited longitudinal research exploring the relationship between discrimination and substance-use trajectories among Hispanics from adolescence through EA. Higher levels of discrimination in high school were associated with initiation of both cigarette smoking and marijuana use during high school, as compared to respondents who have never used either substance. These effects persisted after controlling for EA discrimination, SES, sex, and acculturation.

Minority groups, including Hispanic adolescents, experience discriminatory stress that can have negative health effects linked to key biomarkers of stress (Flores et al., 2008; Pascoe & Smart Richman, 2009; Zeiders, Doane, & Roosa, 2012). That perceived discrimination was a significant predictor of cigarette and marijuana use is consistent with literature demonstrating that discrimination based stressors can undermine self-regulation and lead youth to use marijuana to gain short-term relief from distressing emotions (Chavez, Ornelas, Lyles, & Williams, 2015; Koob & Le Moal, 2002; Rogers et al., 2018; Slopen et al., 2013). This finding aligns with stress-coping research that suggests Hispanic adolescents may use substances to attenuate the uncomfortable feelings caused by discrimination based stressors (Borrell et al., 2007; Otiniano Verissimo, Gee, Ford, & Iguchi, 2014; Wagner, Myers, & McIninch, 1999; Wills & Shiffman, 1985). Our results confirm that higher levels of discrimination early in the life course (high school) is associated with adolescent substance use initiation but we also demonstrate that this association increases substance use initiation in EA. Such findings are consistent with the depression and substance use literature; however, because research has shown that Hispanic youth’s acculturation patterns are uniquely association with depression, continued research into the interplay between acculturation, discrimination, and substance use becomes particularly important among Hispanics, nearly half of whom report experiencing discrimination (Brody, Kogan, & Chen, 2012; Finch, Kolody, & Vega, 2000; Sanchez & Espinosa, 2016). Although beyond the scope of this study, future work should examine the mediational effect of depression in the relationship between discrimination and substance use to further disentangle these predictors(Christie et al., 1988). The lack of statistical significance of EA discrimination as a predictor of substance use initiation in EA, when controlling for high school discrimination, may be related to EA’s coping abilities that develop as response to contending with cumulative discrimination over time; however, this does not discount the effects of EA discrimination as a predictor of risky behaviors.

In sum, our results support theoretical arguments that early life course stressors are associated with adolescent tobacco and that this relationship persists into adulthood (Sussman & Arnett, 2014). However, for marijuana use, higher levels of high school discrimination were associated with high school use but not with later initiation. This may be related to the adoption of effective coping skills or resilience, which warrants further investigation. Prevention and cessation programs for Hispanic youth should address adolescent racial/ethnic discrimination specifically and consider discrimination as a means to identify at-risk young people. Continued research is needed to identify potential moderators of these relationships that disrupt substance-use trajectories among Hispanic youth.

Limitations:

The sample was comprised of Hispanic students in the Los Angeles area and our results can only be generalized to populations with similar demographic distribution. Data are based on self-reports, which typically yield reliable results (Rutherford, Cacciola, Alterman, McKay, & Cook, 2000). As with most long-term longitudinal analyses, there were missing observations; however, there were no unique patterns in the missing responses across the main effects. The only tobacco product measured across all waves was cigarette smoking and future studies will need to assess effects across a broad range of nicotine/tobacco products. Although the effect sizes were relatively small; even minor decreases in rates of change projected over a growing subpopulation may have a lasting public health significance. Over time the denormalization of substance use behaviors, even at a slow rate may contribute to additional success in cessation and prevention efforts. Finally, longitudinal prediction of cigarette and marijuana use it limited to changes that occur between high school and emerging adulthood Future studies may consider including base line acculturation status to assess initiation in high school. Although not the focus of the present paper, future studies may also consider controlling for both past and current SES to further disentangle these effects from other emerging adulthood stressors.

Conclusion:

Perceived discrimination during adolescence is a robust predictor of cigarette and marijuana use trajectories across adolescence and EA. Culturally tailored interventions that teach strategies to cope with discrimination could improve overall Hispanic adolescent health and reduce substance use initiation. For secondary prevention efforts, intervening in early life course cigarette and marijuana use is critical and such strategies should consider the impact of sociocultural risk and protective factors.

Role of Funding Sources

No funding was provided for the secondary analysis of these data. Original funding for the data collection was provided by the United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (DA016310).

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Conflict of Interest

The authors declare that there are no conflicts of interest.

Limited research has explored discrimination and substance use in Hispanic youth longitudinally. Adolescent discrimination is associated with substance use in high school and young adulthood. Adolescent discrimination predicted delayed cigarette initiation but not marijuana initiation. Tailored prevention provideing training in coping skills may improve Hispanic adolescent health.

References

  1. Ahmed AT, Mohammed SA, & Williams DR (2007). Racial discrimination & health: Pathways & evidence. Indian Journal of Medical Research, 126(4), 318. [PubMed] [Google Scholar]
  2. Borrell LN, Jacobs DR Jr, Williams DR, Pletcher MJ, Houston TK, & Kiefe CI (2007). Self-reported racial discrimination and substance use in the Coronary Artery Risk Development in Adults Study. American Journal of Epidemiology, 166(9), 1068–1079. [DOI] [PubMed] [Google Scholar]
  3. Bradley RH, & Corwyn RF (2002). Socioeconomic status and child development. Annual review of psychology, 53(1), 371–399. [DOI] [PubMed] [Google Scholar]
  4. Brody GH, Kogan SM, & Chen Y.-f. (2012). Perceived discrimination and longitudinal increases in adolescent substance use: Gender differences and mediational pathways. American journal of public health, 102(5), 1006–1011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Chavez LJ, Ornelas IJ, Lyles CR, & Williams EC (2015). Racial/ethnic workplace discrimination: Association with tobacco and alcohol use. American journal of preventive medicine, 48(1), 42–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Christie KA, Burke JD, Regier DA, Rae DS, Boyd JH, & Locke BZ (1988). Epidemiologic evidence for early onset of mental disorders and higher risk of drug abuse in young adults. The American Journal of Psychiatry, 145(8), 971. [DOI] [PubMed] [Google Scholar]
  7. Council NR (2004). Measuring racial discrimination: National Academies Press. [Google Scholar]
  8. Cuellar I, Arnold B, & Maldonado R (1995). Acculturation rating scale for Mexican Americans-II: A revision of the original ARSMA scale. Hispanic journal of behavioral sciences, 17(3), 275–304. [Google Scholar]
  9. Essed P (1991). Understanding everyday racism: An interdisciplinary theory (Vol. 2): Sage. [Google Scholar]
  10. Finch BK, Kolody B, & Vega WA (2000). Perceived discrimination and depression among Mexican-origin adults in California. Journal of Health and Social Behavior, 295–313. [PubMed] [Google Scholar]
  11. Flores E, Tschann JM, Dimas JM, Bachen EA, Pasch LA, & de Groat CL (2008). Perceived discrimination, perceived stress, and mental and physical health among Mexican-origin adults. Hispanic journal of behavioral sciences, 30(4), 401–424. [Google Scholar]
  12. Forster M, Grigsby TJ, Soto DW, Sussman SY, & Unger JB (2017). Perceived discrimination, cultural identity development, and intimate partner violence among a sample of Hispanic young adults. Cultural diversity and ethnic minority psychology, 23(4), 576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Guyll M, Matthews KA, & Bromberger JT (2001). Discrimination and unfair treatment: Relationship to cardiovascular reactivity among African American and European American women. Health Psychology, 20(5), 315. [DOI] [PubMed] [Google Scholar]
  14. Hecht ML (1998). Communicating prejudice: Sage Publications. [Google Scholar]
  15. Kilpatrick DG, Acierno R, Saunders B, Resnick HS, Best CL, & Schnurr PP (2000). Risk factors for adolescent substance abuse and dependence: Data from a national sample. Journal of Consulting and Clinical Psychology, 68(1), 19. [DOI] [PubMed] [Google Scholar]
  16. Koob GF, & Le Moal M (2002). Neurobiology of drug addiction. Stages and pathways of drug involvement: Examining the gateway hypothesis, 337–361. [Google Scholar]
  17. Lewis TT, Yang FM, Jacobs EA, & Fitchett G (2012). Racial/ethnic differences in responses to the everyday discrimination scale: a differential item functioning analysis. American Journal of Epidemiology, 175(5), 391–401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Lorenzo-Blanco EI, Unger JB, Ritt-Olson A, Soto D, & Baezconde-Garbanati L (2011). Acculturation, gender, depression, and cigarette smoking among US Hispanic youth: The mediating role of perceived discrimination. Journal of Youth and Adolescence, 40(11), 1519–1533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Otiniano Verissimo AD, Gee GC, Ford CL, & Iguchi MY (2014). Racial discrimination, gender discrimination, and substance abuse among Latina/os nationwide. Cultural diversity and ethnic minority psychology, 20(1), 43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Paradies Y (2013). A systematic review of empirical research on self-reported racism and health. [DOI] [PubMed]
  21. Pascoe EA, & Smart Richman L (2009). Perceived discrimination and health: a meta-analytic review. Psychological Bulletin, 135(4), 531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Pérez DJ, Fortuna L, & Alegria M (2008). Prevalence and correlates of everyday discrimination among US Latinos. Journal of community psychology, 36(4), 421–433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Rogers CJ, Forster M, & Unger JB (2018). Ethnic variations in the relationship between multiple stress domains and use of several types of tobacco/nicotine products among a diverse sample of adults. Addictive behaviors reports, 7, 96–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Romero AJ, Martinez D, & Carvajal SC (2007). Bicultural stress and adolescent risk behaviors in a community sample of Latinos and non-Latino European Americans. Ethnicity and Health, 12(5), 443–463. [DOI] [PubMed] [Google Scholar]
  25. Sanchez GR, & Espinosa PR (2016). Does the race of the discrimination agent in Latinos’ discrimination experiences influence Latino group identity? Sociology of Race and Ethnicity, 2(4), 531–547. [Google Scholar]
  26. Schwartz SJ, Unger JB, Des Rosiers SE, Huang S, Baezconde-Garbanati L, Lorenzo-Blanco EI, … Szapocznik J (2012). Substance use and sexual behavior among recent Hispanic immigrant adolescents: Effects of parent-adolescent differential acculturation and communication. Drug and alcohol dependence, 125, S26–S34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Slopen N, Dutra LM, Williams DR, Mujahid MS, Lewis TT, Bennett GG, … Albert MA (2012). Psychosocial stressors and cigarette smoking among African American adults in midlife. Nicotine & Tobacco Research, 14(10), 1161–1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Slopen N, Kontos EZ, Ryff CD, Ayanian JZ, Albert MA, & Williams DR (2013). Psychosocial stress and cigarette smoking persistence, cessation, and relapse over 9–10 years: a prospective study of middle-aged adults in the United States. Cancer Causes & Control, 24(10), 1849–1863. doi: 10.1007/s10552-013-0262-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Sue DW, Capodilupo CM, Torino GC, Bucceri JM, Holder A, Nadal KL, & Esquilin M (2007). Racial microaggressions in everyday life: Implications for clinical practice. American Psychologist, 62(4), 271. [DOI] [PubMed] [Google Scholar]
  30. Sussman S, & Arnett JJ (2014). Emerging adulthood: developmental period facilitative of the addictions. Evaluation & the health professions, 37(2), 147–155. [DOI] [PubMed] [Google Scholar]
  31. Unger JB (2018). Drug Use and Cultural Factors Among Hispanic Adolescents and Emerging Adults, Los Angeles, 2006–2016. [Google Scholar]
  32. Unger JB, Ritt-Olson A, Wagner KD, Soto DW, & Baezconde-Garbanati L (2009). Parent-child acculturation patterns and substance use among Hispanic adolescents: A longitudinal analysis. The journal of primary prevention, 30(3–4), 293–313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Unger JB, Schwartz SJ, Huh J, Soto DW, & Baezconde-Garbanati L (2014). Acculturation and perceived discrimination: Predictors of substance use trajectories from adolescence to emerging adulthood among Hispanics. Addictive Behaviors, 39(9), 1293–1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Wagner EF, Myers MG, & McIninch JL (1999). Stress-coping and temptation-coping as predictors of adolescent substance use. Addictive Behaviors, 24(6), 769–779. [DOI] [PubMed] [Google Scholar]
  35. Williams DR, Neighbors HW, & Jackson JS (2003). Racial/ethnic discrimination and health: findings from community studies. American journal of public health, 93(2), 200–208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Williams DR, Yu Y, Jackson JS, & Anderson NB (1997). Racial differences in physical and mental health: Socio-economic status, stress and discrimination. Journal of health psychology, 2(3), 335–351. [DOI] [PubMed] [Google Scholar]
  37. Wills TA, & Shiffman S (1985). Coping and substance use: A conceptual framework. Coping and substance use, 3–24. [Google Scholar]
  38. Zeiders KH, Doane LD, & Roosa MW (2012). Perceived discrimination and diurnal cortisol: Examining relations among Mexican American adolescents. Hormones and Behavior, 61(4), 541548. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES