Skye C. Bristol1*
Micah E. Johnson1Wesley K. Thompson2
Matthew Albaugh3Alexandra Potter3Hugh Garavan3
Nicholas Allgaier3Masha Y. Ivanova3- 1Department of Mental Health Law and Policy, College of Behavioral and Community Sciences, University of South Florida, Tampa, FL, United States
- 2Laureate Institute for Brain Research, Tulsa, OK, United States
- 3Department of Psychiatry, Robert Larner College of Medicine, University of Vermont, Burlington, VT, United States
Introduction: Alcohol expectancies predict subsequent alcohol use and related problems among adolescents, although predictors of alcohol expectancies remain unclear. This study examined the longitudinal association between family conflict, a sociocultural factor strongly implicated in adolescent alcohol use, and positive and negative alcohol expectancies of adolescents of diverse racial/ethnic backgrounds.
Methods: Data were from the Adolescent Brain Cognitive Development Study 4.0 release, a multisite longitudinal study (N = 6,231, baseline age 9–10). Linear mixed-effects regression, with interactions between race/ethnicity and family conflict, tested the association between family conflict and alcohol expectancies, for each racial/ethnicity (e.g., Black vs. non-Black; White vs. non-White).
Results: Interactions of family conflict with race/ethnicity in predicting negative and positive alcohol expectancies were statistically significant for models testing Black and White adolescents, but not for Asian, Hispanic, and Other. Family conflict at baseline predicted lower negative alcohol expectancy for Black adolescents (B = −.166, p = 0.033) and positive alcohol expectancy for White adolescents (B = 0.71, p = 0.023) at the year 3 follow-up. All models controlled for sex, age, family socioeconomic status, alcohol expectancies at year 1, and family conflict at year 3.
Conclusion: The results indicate that family conflict is a potential risk factor for problematic alcohol expectancies for Black and White adolescents. Although we did not directly compare Black and White adolescents, our findings indicate that family conflict may operate differently for Black and White adolescents. Prevention and intervention efforts targeting family conflict may be relevant for different aspects of alcohol expectancies in Black and White families.
1 Introduction
Alcohol is the most commonly used substance among adolescents and a major public health concern in the United States (1). Approximately 1.8 million adolescents ages 12–17 initiated alcohol use in 2021 (2), and 36.3% of all 8th, 10th, and 12th graders reported lifetime alcohol use in 2019 (3). Alcohol use among adolescents increases the likelihood of alcohol-related problems and psychiatric disorders into adulthood (4, 5). It is also associated with adverse developmental outcomes such as social problems, misuse of other substances, and alterations in brain development with long-term effects (6–8).
Alcohol expectancies are a key predictor of future alcohol use and related problems among adolescents (9–11). They refer to an individual’s anticipated outcomes of alcohol consumption. Alcohol expectancies include negative expectancies, or negative anticipated outcomes (e.g., legal trouble, health problems), and positive expectancies, or positive anticipated outcomes (e.g., feeling more relaxed and joyful). Negative expectancies deter, and positive expectancies motivate adolescent alcohol consumption (9, 12). For example, higher levels of positive alcohol expectancies are associated with early initiation of alcohol use and future alcohol use disorder for adolescents (13–16). However, higher levels of negative alcohol expectancies are associated with lower alcohol consumption for adolescents (13, 17).
There is a growing body of evidence suggesting that alcohol expectancies operate differently for adolescents of different racial and ethnic backgrounds. For example, Meier and colleagues (18) found that adolescents of different racial and ethnic backgrounds reported different levels of alcohol expectancies, while controlling for grade and gender. They also found that positive alcohol expectancies were associated more strongly with drinking frequency and binge drinking for Black than White adolescents, and with drinking initiation for White than Black adolescents (18). Banks and Zapolski (19) found no significant differences in alcohol expectancies or consumption between Black and White adolescents; however, positive alcohol expectancy predicted alcohol use in White but not Black adolescents.
Banks and Zapolski recommended investigating sociocultural factors to understand racial and ethnic differences in alcohol expectancies during adolescence (19). Sociocultural environments shape adolescents’ attitudes toward substance use, with parental level of educational attainment, adverse childhood experiences, and both parental and peer attitudes toward alcohol and alcohol consumption found to be associated with adolescent alcohol expectancies (20, 21). Adolescents of different racial and ethnic backgrounds experience different sociocultural environments, which may explain racial/ethnic differences in alcohol expectancies. For example, the Minority Family Stress Model (22–24) posits that adolescents from ethnically and racially minoritized backgrounds form expectancies about alcohol in the context of greater family stress in comparison to their White peers due to endemic and systemic racism. Greater family stress in families of minoritized backgrounds and the associated alcohol use to cope with such stress may result in adolescents in these families developing expectancies of alcohol as a coping mechanism.
One sociocultural factor, family conflict, has been strongly linked to adolescent alcohol use and expectancies. Family conflict has been associated with the initiation and sustained use of alcohol (25–28). Family conflict was also found to mediate the influence of adolescents’ impulsivity on alcohol use (29). As for alcohol expectancies, Swaim and Stanley (30) found that in a sample of American Indian students, positive alcohol expectancies mediated the relationship of family conflict and alcohol use for female, but not male students (negative expectancies were not assessed in this study). Overall, the well-established association between family conflict and adolescent alcohol use and the emerging evidence linking family conflict and positive alcohol expectancies for American Indian female adolescents suggest that the association between family conflict and alcohol expectancies is worth exploring.
Overall, there is a robust body of empirical evidence indicating that alcohol expectancies are significant contributors to adolescent alcohol use (9–11, 19). There is also emerging evidence that alcohol expectancies operate differently for different ethnic and racial groups (18, 19). It is critically important to understand these differences to develop culturally relevant prevention and intervention programs targeting expectancies for adolescents of different ethnic and racial backgrounds. Examining how sociocultural factors affect alcohol expectancies for different racial/ethnic groups may inform the understanding of the differential operations of alcohol expectancies for adolescents of different ethnic and racial backgrounds (19). Additionally, it may help inform culturally relevant prevention and intervention efforts for racially and ethnically minoritized adolescents.
This study aimed to test the association of family conflict and alcohol expectancies among adolescents of diverse racial and ethnic backgrounds in the Adolescent Brain Cognitive Development (ABCD) Study cohort. We estimated the effects of family conflict assessed at year 1 and alcohol expectancies at year 3 follow-up (when the children were 12–13 years old), while controlling for initial levels of alcohol expectancies, family conflict at year 3, and key demographic variables at baseline.
Our main research questions were (1) Does family conflict at baseline predict positive and negative alcohol expectancies at year 3 follow-up, while controlling for positive and negative alcohol expectancies at baseline, age, sex, and family SES, and (2) Does the association between family conflict at baseline and positive and negative alcohol expectancies at year 3 follow-up vary by adolescents’ race and ethnicity, while controlling for the same covariates? Based on the Minority Family Stress Model (22–24), we hypothesized that due to the unique stressors associated with race/ethnicity in families of minoritized racial and ethnic backgrounds, (1) adolescents from minoritized racial and ethnic backgrounds would report higher levels of family conflict than White adolescents, and (2) family conflict would have stronger associations with problematic alcohol expectancies (i.e., higher positive and lower negative) for adolescents of minoritized racial and ethnic backgrounds than for White adolescents.
2 Methods
2.1 Data
We conducted a secondary longitudinal analysis using data from the Adolescent Brain Cognitive Development (ABCD) Study (4.0 release), a longitudinal cohort study of 11,880 adolescents ages 9–10 years old at baseline from 21 data collection sites across the United States (31). A probability sampling strategy was employed to identify schools within the communities surrounding each data collection site, with a small portion of study participants being recruited from non-school-based community outreach and word-of-mouth referrals. The ABCD study follows adolescents and their families from preadolescence into adulthood, tracking biological and behavioral development. Data collection for the baseline cohort began in September 2016 and ended in October 2018, with annual lab-based assessments and biennial imaging acquisition follow-ups. Written assent was obtained from adolescents, and written informed consent was obtained from parents or guardians.
2.2 Sample
This study included adolescents with data on family conflict measured at and alcohol expectancy measured at year 1 and year 3 follow-ups, when the children were 12 to 13 years old. COVID-19 restrictions in March 2020 required remote assessments when in-person collection was not permitted or feasible, affecting the 2- and 3-year follow-up assessments and the 30-month assessments conducted from March 2020 on. The total sample was 6,231 adolescents.
2.3 Measures
2.3.1 Alcohol expectancies
Alcohol expectancies were assessed using the Alcohol Expectancy Questionnaire-Adolescents, Brief (AEQ-AB), based on the AEQ-A and measures two factors of general positive and general negative. The AEQ-AB has good internal consistency and demonstrated validity in predicting adolescent drinking patterns (32). The 7-item questionnaire is a 5-point Likert scale (1 = disagree strongly to 5 = agree strongly) on adolescents’ expectancies about the effects of alcohol. The AEQ-AB includes statements such as “Alcohol helps a person relax, feel happy, feel less tense, and can keep a person’s mind off of mistakes at school or work” and “Alcohol can help how well a person gets along with others (makes people want to have fun together)”. The AEQ-AB is composed of two components: general positive (AEQ-ABp) (items 1,2,4,6) and general negative (AEQ-ABn) (items 3,5,7). A summary score was calculated for positive and negative alcohol expectancies (see Table 1). The scores collected at year 3 follow-up were used for the outcome variable of this study.
Table 1 Alcohol expectancy questionnaire (AEQ)adolescent, brief items.
2.3.2 Family conflict
Family conflict was assessed with the Family Conflict subscale of the Family Environment Scale (FES) (33). We used FES completed by adolescents at year 1 because AEQ-AB was not collected until year 1 follow-up. The FES family conflict subscale assesses expressed anger and aggression among family members, composed of nine yes or no questions (e.g., “We fight a lot in our family”; “Family members sometimes get so angry they throw things”). Answers to the questions are summed into a total score, with a higher score indicating higher family conflict.
2.3.3 Race and ethnicity
The definition of race and ethnicity have evolved overtime and utilized as descriptive variables in research to represent social experiences. Researchers have argued that the terms are social constructs and should not be used synonymously (34–36). Race has most often referred to shared physical traits and cultural patterns, whereas ethnicity refers to commonality in culture through shared origins, beliefs, religion, language, and traditions (37). We utilize a simplified version of the race/ethnicity variable and acknowledge the distinction between the two concepts and will reference it to indicate and/or. Parents reported children’s race/ethnicity using the following categories: Asian, Non-Hispanic Black, Hispanic, Non-Hispanic White, and Other (including adolescents that identify as American Indian/Alaska Native (AIAN), Native Hawaiian/Pacific Islander (NHPI), or with two or more races/ethnicities). Binary dummy variables were created as moderators reflecting participants status on the variables (e.g., Asian: yes = 1, no = 0; Black: yes = 1, no = 0). Race and ethnicity at baseline assessment followed the definitions of the NIH Minimum Reporting guidelines and the Office of Management and Budget (OMB) standards (NIH Office of Research on Women’s Health; 38). The ABCD baseline sample closely matches the American Community Survey (ACS)-based national estimates for race and ethnicity (39). However, Asian is underrepresented in the ABCD raw data and sample for this study (2.2%) compared with the ACS national estimates (5.9%), potentially due to differences in reporting multiple race and ethnicity ancestry (38, 40).
2.3.4 Covariates
Covariates in all models included sex assigned at birth, age (in months), family socioeconomic status (SES), adolescent alcohol expectancy, and family conflict. The demographic variables were assessed at baseline, whereas alcohol expectancy was assessed at year 1 and family conflict at year 3. Family SES was operationalized as an ordered categorical variable of the highest level of parental educational attainment for the parent or caregiver enrolled in the study: 1 = less than HS Diploma, 2 = HS Diploma/GED, 3 = Some college, 4 = Associate, 5 = Bachelor, and 6 = Post Graduate Degree. Partner educational attainment was collected, but not included in this study. While SES is a multidimensional construct that is composed of a range of tangible and intangible resources, we did not incorporate household income (41). For household income to be informative as an index of SES, it should be examined in the context of other variables, such as number of adults and children in the family drawing on that income, regional cost of living, and number of caregiving adults in the family. Without these additional variables, family income poses a challenge to interpret. Therefore, parental educational attainment is a robust indicator of SES, regardless of these contextual factors, which aligns with other scholarly findings (42–44).
2.3.5 Analytic procedures
All analyses were conducted in StataSE 17 (45). We used linear mixed-effect regression to test the longitudinal association between family conflict and adolescent alcohol expectancy (research question 1). Linear mixed-effect models capture correlation of data induced by having multiple members from the same family in the analysis. Thus, we included family membership as a random effect in models; family conflict and other covariates were all included as fixed effects. The moderating effects of race and ethnicity on the longitudinal association between family conflict and adolescent alcohol expectancy were tested using multiplicative interaction terms (research question 2). Specifically, we calculated product terms of family conflict with each of the binary race and ethnicity dummy variables discussed above. The moderation models were run separately for each race/ethnicity. The linear mixed-effect regression assumptions were checked: variance inflation factors (VIF), for multicollinearity (mean VIF = 1.10, see Supplementary Table 1), a two-way scatter plot to assess linearity for the independent and dependent variables (indicating a linear relationship for negative and positive alcohol expectancies), Shapiro–Wilk test for normality (non-normality detected, but the large sample size ensures robustness), and Breusch–Pagan test for heteroscedasticity (heteroscedasticity present for negative alcohol expectancies, p <.000, but not for positive alcohol expectancies, p <.489).
3 Results
3.1 Descriptive statistics
Supplementary Table 2 displays the descriptive statistics for the variables used in the study. The mean values for the summary scores of negative and positive alcohol expectancies at year 3, family conflict at year 1, negative and positive alcohol expectancy at year 1, and family conflict at year 3 for the entire sample were 12.46, 8.51, 1.92, 12.08, 7.26, and 1.96, respectively. The demographics of the sample population were 58.11% White, 10.38% Black, 19.29% Hispanic, 2.25% Asian, 9.97% Other, and 52.72% male. Black adolescents had the highest mean score for family conflict at 2.29, and the lowest year 3 negative alcohol expectancy score at 11.66. Black and White adolescents were the only racial/ethnic groups with statistically significant correlations between the main variables of family conflict at baseline and alcohol expectancy at year 3. See Supplementary Table 3 for the correlation matrix of the variables used in this study.
3.2 Regression analysis
First, we conducted two separate linear mixed-effect regressions predicting negative and positive alcohol expectancy from family conflict while controlling for the covariates (Table 2). The individual predictor of family conflict had significant and non-significant beta weights (B), based on p-value less than.05, when considered independently in predicting negative or positive alcohol expectancy: B = −0.040, p = 0.047, and B = 0.031, p = 0.199, respectively. See Table 2 for the regression coefficients of each predictor.
Table 2 Results of linear mixed-effects regression examining family conflict and alcohol expectancy (AE).
For each race/ethnicity separately, we ran linear mixed-effect regressions with multiplicative terms, predicting negative or positive alcohol expectancy (Table 3). The interaction multiplicative terms were significant for Black adolescents on negative alcohol expectancy and White adolescents on positive alcohol expectancy. The models indicated that the association between family conflict and negative alcohol expectancy was moderated by adolescents of Black race/ethnicity (B = −0.174, p = 0.003), and the association of family conflict and positive alcohol expectancy was moderated by adolescents of White race/ethnicity (B = 0.087, p = 0.046). The interaction was not significant for adolescents who identified as Hispanic, Asian, or Other.
Table 3 Results of linear mixed-effects regression examining family conflict and alcohol expectancy (AE) with multiplicative terms.
For the significant interaction involving Black adolescents, the negative effect of family conflict on negative alcohol expectancy was significant for Black adolescents (B = −0.166, p = 0.033), but not for non-Black adolescents (β = −0.021, p = 0.313). For the significant interaction involving White adolescents, the positive effect of family conflict on positive alcohol expectancy was significant for White adolescents (β = 0.071, p = 0.023) but not for non-White adolescents (B = −0.022, p = 0.572). See Table 4 for the regression coefficients of the product term analyses.
Table 4 Results of product term analyses for statistically significant multiplicative terms.
4 Discussion
The results of this study suggest that family conflict may be a risk factor for problematic alcohol expectancies for both Black and White adolescents. These findings are consistent with previous findings linking family conflict to adolescent alcohol use (21, 25–28, 46). These findings are also consistent with previous findings that implicated positive alcohol expectancies as a mechanism through which family conflict affects alcohol use in female American Indian adolescents (30). Although we tested the Black and White identities separately, our results indicated that family conflict may operate differently for Black and White adolescents in conferring the risk for problematic alcohol expectancies. For Black adolescents, higher family conflict predicts lower negative alcohol expectancy; however, for White adolescents, higher family conflict predicts higher positive alcohol expectancy.
Prevention and intervention efforts targeting family conflict may thus be relevant for different aspects of problematic alcohol expectancies in Black and White families. Specifically, in the presence of high family conflict, professionals supporting Black adolescent may consider paying close attention to, and where appropriate, boosting the adolescents’ negative alcohol expectancies. Professionals supporting White adolescent may consider paying close attention to and, where appropriate, challenging the adolescents’ positive alcohol expectancy.
Black adolescents reported higher levels of family conflict compared with adolescents of other ethnic and racial groups. This finding supported our first hypothesis based on the Minority Family Stress Model that adolescents from minoritized ethnic and racial backgrounds would report higher levels of family conflict than White adolescents. It is crucial to emphasize that this finding does not indicate that Black families are more dysfunctional than families of other racial or ethnic backgrounds. Rather, this racial/ethnic difference in family conflict likely points to other social contexts that uniquely affect Black families in the United States and were not explicitly considered in our model. Black families likely experience greater family stress than other families due to systemic and structural racism and discrimination that uniquely affect Black communities (47). This underscores the significance of addressing social context in understanding substance use and abuse in adolescents rather than individual or family-level factors.
Our study indicated that family conflict is worth further examination as a significant contributor to adolescent alcohol expectancies, with differences across racial/ethnic backgrounds. Family conflict is only one aspect of an adolescent’s social context, and researchers should consider other aspects, such as experiences of racial discrimination and racism, cultural values, or community and neighborhood factors (48–51). Building more complex, multivariate models of social context would advance the field toward a more nuanced understanding of the role of the social environment in adolescent risky behavior. For example, a recent ABCD dataset study by Trevino and colleagues modeled several aspects of the family environment in predicting genetic risk for alcohol use disorder (52).
To better understand the association between family conflict and alcohol expectancies, future studies should explore why family conflict may confer the risk for alcohol expectancies differently for Black and White adolescents. One hypothesis to explain this racial difference is that the function of alcohol consumption may vary culturally in Black and White families. Alcohol consumption may serve more as a coping mechanism within Black communities, whereas it may be more commonly associated with recreational activity in White communities (49). Additionally, lower negative alcohol expectancies are problematic for Black adolescents, as this may shift to higher positive alcohol expectancies, which acts as a precursor for alcohol initiation (53–55). Therefore, Black adolescents may be primed to retrieve lower negative expectancies, whereas White adolescents may be primed to retrieve more positive expectancies when thinking about alcohol. Cultural aspects of alcohol consumption for other racial/ethnic groups may also contribute to the association between family conflict and alcohol expectancies; however, a statistically significant relationship was not established for adolescents of Asian, Hispanic, or Other racial/ethnic backgrounds in our study. We may consider other cultural differences in parenting styles, family dynamics, or religious and spiritual beliefs to further explore the cultural context (21).
There is an established understanding that adolescence is a period of exponential brain development (56–58); however, the long-term effects of family conflict on the brain are not well-researched. Additionally, the National Institute on Drug Abuse (NIDA) is prioritizing research on how individual life experiences related to brain development and drug use trajectories (59). Thus, future studies should also consider how the functional and structural development of the brain mediates the development of alcohol expectancies and how stress from family conflict impacts brain development. For example, Hoffman et al. (60) explored the relationship of stress exposures, neurodevelopment, and health outcomes including substance use and addiction. Zhornitsky et al. (61, 62) found that positive alcohol expectancies were associated with functional connectivity such as thalamic activation and, thalamic-caudate connectivity to predict problematic alcohol use. Additionally, family conflict may be stressful for adolescents, which may interfere with the development of grey matter in the prefrontal cortex, resulting in impaired cognitive and emotional processes that impact decision-making and impulse control (63, 64). Establishing a better understanding of the brain mechanisms in the relationship between family conflict and alcohol expectancy could inform intervention and prevention strategies such as identifying brain markers that may be associated with the risk of problematic alcohol use, and specific therapies that may target those brain mechanisms to strengthen mechanisms related to decision-making and impulse control.
4.1 Limitations
It is essential to acknowledge the limitations of this study. Data on family conflict and alcohol expectancy were obtained from adolescents. Parents or guardians may have different views on family conflict and adolescents’ dispositions toward alcohol. This study did not include data on parent, guardian, family member, and/or adolescent alcohol use. We plan to include these data in future studies to assess the influence of alcohol use on alcohol expectancy, to build on previous research (65). Also, although the ABCD cohort is vast and representative of diverse regions and backgrounds, it may not be representative of the entire adolescent population due to selection and self-selection biases. ABCD participants were recruited from regions near ABCD study sites and may not reflect diversity across other geographic locations. Different sample sizes across racial groups may have differential effects that may have influenced the non-significant observed effects of the product term analyses. Furthermore, the five-level racial/ethnic construct may not capture the nuanced and multifaceted complexity of individual race/ethnicity. These findings may be an underrepresentation for individuals who identify as Asian, AIAN, NHPI, or mixed-race. Families who self-select to participate in prospective cohort studies that require considerable time and commitment may exhibit a higher level of functioning than families who do not participate. Finally, future studies could explore robust regression models to address heteroscedasticity and validate the results.
5 Conclusion
This longitudinal analysis showed that family conflict assessed at year 1 was associated with adolescent alcohol expectancies at year 3 follow-up for Black and White adolescents, but not adolescents of other racial and ethnic backgrounds. Specifically, family conflict was associated with lower negative alcohol expectancy for Black adolescents and higher positive alcohol expectancy for White adolescents. This study contributes to existing literature on social contexts and alcohol among adolescents by examining the interplay between family conflict, race, and alcohol expectancy in the ABCD study. The findings suggest that the association between family conflict and alcohol expectancy may be associated with adolescents’ racial or ethnic identity, with stronger effects observed among Black and White adolescents than adolescents who identified as Hispanic, Asian, or Other. This contributes to a better understanding of social factors that shape alcohol-related beliefs and highlights the need for targeted interventions that consider experiences of different racial and ethnic groups in promoting adolescent health.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the patients/participants or patients/participants’ legal guardian/next of kin was not required to participate in this study in accordance with the national legislation and the institutional requirements.
Author contributions
SB, MJ, WT, and MI contributed to conception and design of the study. WT and MI organized the database. MA, AP, HG, and NA provided technical expertise. SB performed the statistical analysis and wrote the first draft of the manuscript. MI supervised the overall project. All authors contributed to the article and approved the submitted version.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The research reported in this publication was supported by the Florida Education Fund McKnight Fellowship (SB). This publication was also supported by the National Institutes of Health under award numbers 1K01DA052679 (Dr. MJ, PI), R25DA050735 (Dr. MJ, PI), U01DA051039 (Dr. MJ, USF Site PI), and 1R25DA059073 (Dr. MJ, PI).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1250351/full#supplementary-material
References
1. Centers for Disease Control and Prevention. Youth risk behavior surveillance — United State. In: Morbidity and Mortality Weekly Report Supplement. Atlanta, GA: U.S. Department of Health and Human Services. (2020).
2. Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the United States: Results from the 2021 National Survey on Drug Use and Health. Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. (2022).
3. Johnston LD, Miech RA, O’Malley PM, Bachman JG, Schulenberg JE, Patrick ME. Monitoring the Future national survey results on drug use 1975-2021: Overview, key findings on adolescent drug use. Ann Arbor: Institute for Social Research, University of Michigan (2022).
4. Grant BF, Dawson DA. Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: Results from the National longitudinal alcohol epidemiologic survey. J Subst Abuse. (1997) 9:103–10. doi: 10.1016/S0899-3289(97)90009-2
5. Nelson SE, Van Ryzin MJ, Dishion TJ. Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: Demographic correlates and young adult substance use problems. Dev Psychopathol. (2015) 27:253–77. doi: 10.1017/S0954579414000650
6. Chen CM, Yoon YH, Faden VB. Surveillance report #107: Trends in underage drinking in the United States 1991–2015. Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism (2017).
7. Jones CM, Clayton HB, Deputy NP, Roehler DR, Ko JY, Esser MB, et al. Prescription opioid misuse and use of alcohol and other substances among high school students — Youth risk behavior survey, United States 2019. 69. (2020) Suppl-1):38–46. doi: 10.15585/mmwr.su6901a5
8. Lees B, Meredith LR, Kirkland AE, Bryant BE, Squeglia LM. Effect of alcohol use on the adolescent brain and behavior. Pharmacol Biochem Behav. (2020) 192:172906. doi: 10.1016/j.pbb.2020.172906
9. Christiansen BA, Smith GT, Roehling PV, Goldman MS. Using alcohol expectancies to predict adolescent drinking behavior after one year. J Consulting Clin Psychol. (1989) 57:93–9. doi: 10.1037/0022-006X.57.1.93
10. Tobler AL, Livingston MD, Komro KA. Racial/ethnic differences in the etiology of alcohol use among urban adolescents. J Stud Alcohol Drugs. (2011) 72:799–810. doi: 10.15288/jsad.2011.72.799
11. Jester JM, Wong MM, Cranford JA, Buu A, Fitzgerald HE, Zucker RA. Alcohol expectancies in childhood: Change with the onset of drinking and ability to predict adolescent drunkenness and binge drinking. Addiction. (2015) 110:71–9. doi: 10.1111/add.12704
12. Fisher LB, Miles IW, Austin SB, Camargo CA Jr., Colditz GA. Predictors of initiation of alcohol use among US adolescents: Findings from a prospective cohort study. Arch Pediatr Adolesc Med. (2007) 161:959–66. doi: 10.1001/archpedi.161.10.959
13. Fromme K, D'Amico EJ. Measuring adolescent alcohol outcome expectancies. Psychol Addictive Behav. (2000) 14:206–12. doi: 10.1037/0893-164X.14.2.206
14. Ham LS, Stewart SH, Norton PJ, Hope DA. Psychometric assessment of the comprehensive effects of alcohol questionnaire: comparing a brief version to the original full scale. J Psychopathol Behav Assess. (2005) 27:141–58. doi: 10.1007/s10862-005-0631-9
15. Zamboanga BL. From the eyes of the beholder: alcohol expectancies and valuations as predictors of hazardous drinking behaviors among female college students. Am J Drug Alcohol Abuse. (2006) 32:599–605. doi: 10.1080/00952990600920573
16. Dick D, Nasim A, Edwards A, Salvatore J, Cho S, Adkins A, et al. Spit for Science: launching a longitudinal study of genetic and environmental influences on substance use and emotional health at a large US university. Front Genet. (2014) 5:47. doi: 10.3389/fgene.2014.00047
17. Nicolai J, Demmel R, Moshagen M. The comprehensive alcohol expectancy questionnaire: confirmatory factor analysis, scale refinement, and further validation. J Pers Assess. (2010) 92:400–9. doi: 10.1080/00223891.2010.497396
18. Meier MH, Slutske WS, Arndt S, Cadoret RJ. Positive alcohol expectancies partially mediate the relation between delinquent behavior and alcohol use: Generalizability across age, sex, and race in a cohort of 85,000 Iowa schoolchildren. Psychol Addictive Behav. (2007) 21:25–34. doi: 10.1037/0893-164X.21.1.25
19. Banks DE, Zapolski TCB. Racial differences in the link between alcohol expectancies and adolescent drinking. Addictive Behav. (2017) 67:34–7. doi: 10.1016/j.addbeh.2016.12.005
20. Brown SA, Creamer VA, Stetson BA. Adolescent alcohol expectancies in relation to personal and parental drinking patterns. J Abnormal Psychol. (1987) 96:117–21. doi: 10.1037/0021-843X.96.2.117
21. Johnson EC, Paul SE, Baranger DA, Hatoum AS, Colbert SMC, Lin S, et al. Characterizing alcohol expectancies in the ABCD Study: Associations with sociodemographic factors, the immediate social environment, and genetic propensities. Behav Genet. (2023) 53:265–78. doi: 10.1007/s10519-023-10133-2
22. Conger RD, Elder GH Jr., Lorenz FO, Simons RL, Whitbeck LB. Families in troubled times: Adapting to change in rural America. Hawthorne, NY, US: Aldine de Gruyter (1994).
23. Conger RD, Wallace LE, Sun Y, Simons RL, McLoyd VC, Brody GH. Economic pressure in African American families: A replication and extension of the family stress model. Dev Psychol. (2002) 38:179–93. doi: 10.1037/0012-1649.38.2.179
24. Emmen RAG, Malda M, Mesman J, van Ijzendoorn MH, Prevoo MJL, Yeniad N. Socioeconomic status and parenting in ethnic minority families: Testing a minority family stress model. J Family Psychol. (2013) 27:896–904. doi: 10.1037/a0034693
25. Bray JH, Adams GJ, Getz JG, Baer PE. Developmental, family, and ethnic in influences on adolescent alcohol usage: A growth curve approach. J Family Psychol. (2001) 15:301–14. doi: 10.1037/0893-3200.15.2.301
26. Hung CC, Yen LL, Wu WC. Association of parents' alcohol use and family interaction with the initiation of alcohol use by sixth graders: A preliminary study in Taiwan. BMC Public Health. (2009) 9:172. doi: 10.1186/1471-2458-9-172
27. Chaplin TM, Sinha R, Simmons JA, Healy SM, Mayes LC, Hommer RE, et al. Parent–adolescent conflict interactions and adolescent alcohol use. Addictive Behav. (2012) 37:605–12. doi: 10.1016/j.addbeh.2012.01.004
28. Bray JH, Gallegos MI, Cain MK, Zaring-Hinkle B. Parental monitoring, family conflict, and adolescent alcohol use: A longitudinal latent class analysis. J Family Psychol. (2022) 36:1154–60. doi: 10.1037/fam0001019
29. Wang Z, Buu A, Lohrmann DK, Shih PC, Lin HC. The role of family conflict in mediating impulsivity to early substance exposure among preteens. Addictive Behav. (2021) 115:106779. doi: 10.1016/j.addbeh.2020.106779
30. Swaim RC, Stanley LR. Effects of family conflict and anger on alcohol use among American Indian students: mediating effects of outcome expectancies. J Stud Alcohol Drugs. (2018) 79:102–10. doi: 10.15288/jsad.2018.79.102
31. Garavan H, Bartsch H, Conway K, Decastro A, Goldstein RZ, Heeringa S, et al. Recruiting the ABCD sample: Design considerations and procedures. Dev Cogn Neurosci. (2018) 32:16–22. doi: 10.1016/j.dcn.2018.04.004
32. Stein LAR, Katz B, Colby SM, Barnett NP, Golembeske C, Lebeau-Craven R, et al. Validity and reliability of the alcohol expectancy questionnaire-adolescent, brief. J Child Adolesc Subst Abuse. (2007) 16:115–27. doi: 10.1300/J029v16n02_06
33. Moos RH, Moos BS. A typology of family social environments. Family Process. (1976) 15:357–71. doi: 10.1111/j.1545-5300.1976.00357.x
35. Hahn RA, Stroup DF. Race and ethnicity in public health surveillance: criteria for the scientific use of social categories. Public Health Rep. (1994) 109:7.
36. McKenney NR, Bennett CE. Issues regarding data on race and ethnicity: the Census Bureau experience. Public Health Rep. (1994) 109:16.
37. Smedley A, Smedley BD. Race as biology is fiction, racism as a social problem is real: Anthropological and historical perspectives on the social construction of race. Am Psychol. (2005) 60:16–26. doi: 10.1037/0003-066X.60.1.16
38. Saragosa-Harris NM, Chaku N, MacSweeney N, Guazzelli Williamson V, Scheuplein M, Feola B, et al. A practical guide for researchers and reviewers using the ABCD Study and other large longitudinal datasets. Dev Cogn Neurosci. (2022) 55:101115. doi: 10.1016/j.dcn.2022.101115
39. Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, et al. Meaningful associations in the adolescent brain cognitive development study. NeuroImage. (2021) 239:118262. doi: 10.1016/j.neuroimage.2021.118262
40. NIH Office of Research on Women's Health Office of Management and Budget (OMB) Standards. National Institutes of Health. Available online at: https://orwh.od.nih.gov/toolkit/other-relevant-federal-policies/OMB-standards.
41. Davis-Kean PE, Tang S, Waters NE. Parent Education Attainment and Parenting. 3 ed. New York, NY: Routledge (2019) p. 400–20.
42. Dubow EF, Boxer P, Huesmann LR. Long-term effects of parents' education on children's educational and occupational success: mediation by family interactions, child aggression, and teenage aspirations. Merrill-Palmer Q. (2009) 55:224. doi: 10.1353/mpq.0.0030.
43. Davis-Kean PE, Tighe LA, Waters NE. The role of parent educational attainment in parenting and children’s development. Curr Dir psychol Sci. (2021) 30:186–92. doi: 10.1177/0963721421993116
44. Waters NE, Ahmed SF, Tang S, Morrison FJ, Davis-Kean PE. Pathways from socioeconomic status to early academic achievement: The role of specific executive functions. Early Childhood Res Q. (2021) 54:321–31. doi: 10.1016/j.ecresq.2020.09.008
46. Sanchez M, Gonzalez MR, Fernandez A, Barton A, Diaz V, Wang W. Sociocultural influences on alcohol expectancies in early adolescence: Findings from the ABCD study. Health Psychol. (2023) 42(12):842–55. doi: 10.1037/hea0001290
47. Braveman PA, Arkin E, Proctor D, Kauh T, Holm N. Systemic and structural racism: Definitions, examples, health damages, and approaches to dismantling. Health Affairs. (2022) 41:171–8. doi: 10.1377/hlthaff.2021.01394
48. Stock ML, Gibbons FX, Walsh LA, Gerrard M. Racial identification, racial discrimination, and substance use vulnerability among African American young adults. Pers Soc Psychol Bull. (2011) 37:1349–61. doi: 10.1177/0146167211410574
49. Gerrard M, Stock ML, Roberts ME, Gibbons FX, O'Hara RE, Weng CY, et al. Coping with racial discrimination: The role of substance use. Psychol Addictive Behav. (2012) 26:550–60. doi: 10.1037/a0027711
50. Banks DE, Winningham RD, Wu W, Zapolski TC. Examination of the indirect effect of alcohol expectancies on ethnic identity and adolescent drinking outcomes. Am J Orthopsychiatry. (2019) 89:600. doi: 10.1037/ort0000390
51. Su J, Kuo SI, Derlan CL, Hagiwara N, Guy MC, Dick DM. Racial discrimination and alcohol problems among African American young adults: Examining the moderating effects of racial socialization by parents and friends. Cultur Divers Ethnic Minor Psychol. (2020) 26:260–70. doi: 10.1037/cdp0000294
52. Trevino AD, Jamil B, Su J, Aliev F, Elam KK, Lemery-Chalfant K. Alcohol use disorder polygenic risk scores and trajectories of early adolescent externalizing behaviors: examining the role of parenting and family conflict in the racially/ethnically diverse ABCD sample. Behav Genet. (2023) 54(1):101–118. doi: 10.1007/s10519-023-10155-w
53. Dunn ME, Goldman MS. Age and drinking-related differences in the memory organization of alcohol expectances in 3rd-, 6th-, 9th-, and 12th-grade children. J Consulting Clin Psychol. (1998) 66:579–85. doi: 10.1037/0022-006X.66.3.579
54. Dunn ME, Goldman MS. Drinking-related differences in expectancies of children assessed as first associates. Alcoholism: Clin Exp Res. (2000) 24:1639–46. doi: 10.1111/j.1530-0277.2000.tb01965.x
55. Thush C, Wiers RW. Explicit and implicit alcohol-related cognitions and the prediction of future drinking in adolescents. Addictive Behav. (2007) 32:1367–83. doi: 10.1016/j.addbeh.2006.09.011
56. Arain M, Haque M, Johal L, Mathur P, Nel W, Rais A, et al. Maturation of the adolescent brain. Neuropsychiatr Dis Treat. (2013) 9:449–61. doi: 10.2147/ndt.S39776
57. Fuhrmann D, Knoll LJ, Blakemore SJ. Adolescence as a sensitive period of brain development. Trends Cogn Sci. (2015) 19:558–66. doi: 10.1016/j.tics.2015.07.008
58. Vijayakumar N, Op de Macks Z, Shirtcliff EA, Pfeifer JH. Puberty and the human brain: Insights into adolescent development. Neurosci Biobehav Rev. (2018) 92:417–36. doi: 10.1016/j.neubiorev.2018.06.004
59. National Institute on Drug Abuse. Priority Scientific Area #1: Understand Drug Use, Behavior, and the Brain (2023). Available online at: https://nida.nih.gov/about-nida/2022-2026-strategic-plan/priority-area-1 (Accessed 2023).
60. Hoffman EA, Clark DB, Orendain N, Hudziak J, Squeglia LM, Dowling GJ. Stress exposures, neurodevelopment and health measures in the ABCD study. Neurobiol Stress. (2019) 10:100157. doi: 10.1016/j.ynstr.2019.100157
61. Zhornitsky S, Ide JS, Wang W, Chao HH, Zhang S, Hu S, et al. Problem drinking, alcohol expectancy, and thalamic resting-state functional connectivity in nondependent adult drinkers. Brain Connectivity. (2018) 8:487–502. doi: 10.1089/brain.2018.0633
62. Zhornitsky S, Zhang S, Ide JS, Chao HH, Wang W, Le TM, et al. Alcohol expectancy and cerebral responses to cue-elicited craving in adult nondependent drinkers. Biol Psychiatry: Cogn Neurosci Neuroimaging. (2019) 4:493–504. doi: 10.1016/j.bpsc.2018.11.012
63. Luciana M, Collins PF, Muetzel RL, Lim KO. Effects of alcohol use initiation on brain structure in typically developing adolescents. Am J Drug Alcohol Abuse. (2013) 39:345–55. doi: 10.3109/00952990.2013.837057
64. Whelan R, Watts R, Orr CA, Althoff RR, Artiges E, Banaschewski T, et al. Neuropsychosocial profiles of current and future adolescent alcohol misusers. Nature. (2014) 512:185–9. doi: 10.1038/nature13402
Keywords: alcohol, alcohol expectancies, family conflict, race and ethnicity, ABCD study
Citation: Bristol SC, Johnson ME, Thompson WK, Albaugh M, Potter A, Garavan H, Allgaier N and Ivanova MY (2024) Prospective associations of family conflict with alcohol expectancies in the adolescent brain cognitive development study: effects of race and ethnicity. Front. Psychiatry 15:1250351. doi: 10.3389/fpsyt.2024.1250351
Received: 30 June 2023; Accepted: 02 February 2024;
Published: 14 March 2024.
Edited by:
Olesya Shevchouk, University of Gothenburg, SwedenReviewed by:
Samuel Suárez-Suárez, University of Santiago de Compostela, SpainYu Chen, Yale University, United States
Copyright © 2024 Bristol, Johnson, Thompson, Albaugh, Potter, Garavan, Allgaier and Ivanova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Skye C. Bristol, c2JyaXN0b2xAdXNmLmVkdQ==