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. Author manuscript; available in PMC: 2025 Jul 22.
Published before final editing as: J Clin Child Adolesc Psychol. 2024 Jan 22:1–15. doi: 10.1080/15374416.2024.2301770

Cascading Influences of Caregiver Experiences of Discrimination and Adolescent Antisocial Behavior

Shannon M Savell a,*, Mihret Niguse a, Nava Caluori a, Jazmin L Brown-Iannuzzi a, Melvin N Wilson a, Kathryn Lemery-Chalfant b, Daniel S Shaw c
PMCID: PMC11260903  NIHMSID: NIHMS1957789  PMID: 38252485

Abstract

Objective:

Although a growing body of work has found that parents’ experiences of racial and socioeconomic (SES) based discrimination are directly related to their children’s behavior problems (Anderson et al., 2015; Savell et al., 2018), more work is needed to understand possible pathways by which these factors are related and to identify potential targets for prevention and/or intervention.

Method:

Using a large (N=572), longitudinal sample of low-income families from diverse racial backgrounds, the current study explored whether caregivers’ experiences of racial and SES discrimination during their children’s middle childhood (i.e., ages 7.5-9.5) predicted youth-reported antisocial behavior during adolescence and potential factors mediating these associations (e.g., caregiver depressive symptoms and positive parenting practices).

Results:

We found that higher levels of caregiver experiences of discrimination at child ages 7.5-9.5 predicted higher levels of caregiver depressive symptoms at child age 10.5, which were related to lower levels of caregiver endorsement of positive parenting practices at child age 14.5, which in turn, predicted higher levels of youth-reported antisocial behavior at age 16.

Conclusion:

The findings highlight the adverse effects of racism and discrimination in American society. Second, the findings underscore the need to develop interventions which mitigate racism and discrimination among perpetrators and alleviate depressive symptoms among caregivers.

Keywords: caregiver experiences of discrimination, caregiver depressive symptoms, positive parenting, adolescent antisocial behavior, prospective longitudinal study


The murder of George Floyd and the disproportionate impact of the COVID-19 pandemic on Black and Brown people revealed to many Americans that discrimination committed by both individuals and systems was still abundant in American society. In a national survey of White, Black, and Hispanic workers, the Gallup Center found that one in four Black and Hispanic employees in the U.S. reported having been discriminated against in the workplace within the past year (Lloyd, 2021). Discrimination not only occurs in the work place but also extends into many different facets of life for people of color, and those that hold other marginalized identities, such as in academic environments (Zirkel & Johnson, 2016), the neighborhood context (Stewart et al., 2009), and interactions with the criminal justice system (Taylor et al., 2016). Although many Americans would like to think racial discrimination against Black and Brown people is an issue of the past (Norton & Sommers, 2011), the disheartening reality is that minoritized people still experience individual and systems-level discrimination today.

The extant literature has established the deleterious effects of racial discrimination on the health and wellbeing of adults. Stock and colleagues (2017) found that for adults, racial discrimination experienced within the past year exacerbates the effects of current racial exclusion experiences and adversely impacts mental health, including alcohol use willingness, and reduced perceived control over one’s life. Further, longitudinal research suggests that the accumulation of discriminatory experiences over time is associated with an increased risk of mental health problems for adults (Bécares & Zhang, 2018). These findings are supported by a meta-analysis conducted by Carter and colleagues (2019) of over 242 studies published from 1998 to 2015. These studies revealed that racial discrimination is positively associated with multiple types of adverse adult mental health outcomes (e.g., anxiety, depressive symptoms, hostility, anger, and stress) and adverse physical health outcomes (e.g., high blood pressure, elevated body mass index), as well as higher rates of substance use (e.g., alcohol, smoking, polysubstance use) (Carter et al., 2019; Pascoe & Richman, 2009). Interestingly, a meta-analysis by Paradies and colleagues (2015) found that from over 300 articles on adult racial discrimination and health, the effect size for the association between discrimination and mental health (mean weighted effect size of −.23) was larger than the association between discrimination and physical health (mean weighted effect size of −.09). Additionally, prior work with other marginalized racial groups, such as Hispanic participants, has also found significant associations between participants’ perception of daily discrimination experiences and mental health symptomology (e.g., anxiety symptoms), which have been shown to be related to downstream effects on performance at work and life satisfaction (Howarter & Bennett, 2013). As detailed above, the impact of racial discrimination extends into many critical domains affecting one’s quality of life.

Individuals from marginalized racial groups may face discrimination not only directed towards one’s racial identity but also as a result of another subordinate-group identity (e.g., being a woman, being lower SES, being a sexual minority). The Intersectionality framework, which has historically been used to describe the experiences of African American women at the convergence of race and gender, is critical in fully capturing the deleterious, compounding, and unique effects of multiple forms of discrimination experienced by people with various marginalized identities (Crenshaw, 1989; Purdie-Vaughns & Eibach, 2008). For example, although all women may experience sexism, the situation and presentation of sexism differs depending on the race/ethnicity of the woman (for reviews see: Hall et al., 2019; Purdie-Vaughns & Eibach, 2008). Further, Black and Brown individuals may experience discrimination based on their perceived or actual socioeconomic status. The U.S. history of slavery and persistent racial discrimination by both individuals and systems has created a gap in wealth between Black/Brown and White people (Kaba, 2011). Thus, Black/Brown people are disproportionately more likely to come from lower-SES backgrounds and, thus, more likely to experience SES-based discrimination in addition to racial discrimination (Kaba, 2011). And, both racial majority and minoritized individuals assume that Black/Brown people are lower-SES, which has consequences for subsequent judgements, including anti-poverty attitudes and opposition toward policies aimed at helping the poor (e.g., Brown-Iannuzzi et al., 2019; Dupree et al., 2021). This suggests that, as a result of holding multiple subordinate identities, marginalized individuals may experience prejudice for a number of different identities and unique prejudices as a result of holding multiple identities simultaneously. Intersectionality highlights the importance of recognizing the unique and complex experiences of marginalized individuals along multiple marginalized identities simultaneously (Ailshire & House, 2011).

In prior work utilizing five nationally representative data sources, SES-based discrimination was found to be a strong predictor of adult coronary heart disease, life expectancy, diabetes and obesity within each racial group (Braveman et al., 2010). However, racial disparities were still present at every level of SES, suggesting that racially-based stressors can have grave impacts that are not always buffered by higher levels of education and income (Braveman et al., 2010). Research using experiences of discrimination based on SES found SES discrimination experienced by adults in the past year was associated with poorer sleep quality among African Americans but not among White Americans (Van Dyke et al., 2016). One potential explanatory hypothesis for these findings is that African Americans, unlike White Americans, are disproportionally exposed to structural and institutional discrimination, which are macro-level conditions in which policies limit access to resources, power, and opportunities (Hatzenbuehler et al., 2010; U.S. Department of Health and Human Services, 2021).

Cascading Paths from Parent Discrimination to Wellbeing and Parenting

The negative impact of everyday racial- and socioeconomic-based discrimination on mental health may also have downstream consequences on other critical domains of functioning for adults, particularly for parents. For example, elevated levels of depressive symptoms in the context of frequent discrimination may adversely impact parenting practices, including levels of involvement, positivity, and reactivity/harshness (Anderson et al., 2015), which in turn could adversely affect child functioning. Although it is well established that experiences of racial and SES-based discrimination are related to diminished psychological well-being for adults, a growing body of work also has found that parents’ experiences of discrimination are indirectly linked to their children’s psychological well-being (Ford et al., 2013; Hughes et al., 2006; Savell et al., 2018). Research on perceived racial discrimination in relation to mothers’ parenting practices found support for cascading processes. In one study, perceived racial discrimination was associated with increases in rural African American mothers’ stress-related problems, which, in turn, was associated with an increase in depressive symptoms and subsequent adverse effects on maternal monitoring and repetitious arguing with their children (mean age=12.7) (Brody et al., 2008). A cross-sectional study with Latinx immigrant mothers and fathers found that parents experiencing elevated levels of racial discrimination endorsed lower levels of social support (possibly as a result of social withdrawal in the context of depressive symptoms), and subsequently exhibited lower levels of child monitoring and higher levels of inconsistent and harsh discipline practices with their children (mean age=10) compared to parents experiencing lower levels of discrimination (Ayón & García, 2019). Gassman-Pines (2015) found, in a cross-sectional study, that Mexican immigrant parents reported that they interacted less warmly and more negatively with their children on the days they experienced workplace discrimination; further, these parents also reported experiencing lower emotional wellbeing for themselves and higher levels of child (mean age=3.8) internalizing and externalizing problem behaviors.

This prior cross-sectional work points to a possible cascading path from parental discrimination experiences to parental mental health and parenting practices and subsequently to child problem behavior; however, prospective, longitudinal research is needed to more thoroughly examine such a potential cascading process. As prior research has indicated the value of positive parenting practices in promoting child prosocial behavior and preventing antisocial activities (Chen et al., 2019; Danzig et al., 2015), including among low-income, ethnically/racially diverse samples (O’Neil et al., 2009; Sitnick et al., 2015; Waller et al., 2015), prospective research is needed to identify factors that compromise parents’ ability to provide positive parenting. Prior work highlights how children who experience the impact of caregiver’s discrimination through negative parenting practices are at an increased risk of developing emotional and behavioral problems (Mays et al., 2007), but the precise mechanisms underlying these associations remain poorly understood.

Despite the growing body of work highlighting the link between parental discrimination and adolescent behavior, prior work has devoted less attention to the potential cascading relationships, such as how exposure to parent discrimination experiences might lead to compromised parent mental health, then reductions in positive parenting practices and subsequent increases in adolescent antisocial behavior. More research is needed to understand such possible pathways by which parents’ experiences of discrimination are related to their children’s antisocial behavior to identify points of prevention and intervention based on the prominent role discrimination continues to play in American society.

Youth Behavior and Mental Health in the Context of Discrimination

There is an extensive body of work highlighting the negative effects of adolescent experiences of discrimination on their mental health and problem behaviors (e.g., McNeil et al., 2014; Neblett et al., 2008). For example, early adolescent racial discrimination in African Americans was associated with higher levels of depressive symptoms, greater perceived stress, and lower levels of psychological well-being (Neblett et al., 2008). A longitudinal study by Rinna and McHale (2010) also found a link between younger (mean age = 10.37) and older adolescent (mean age=14.05) experiences of discrimination and poor relationship quality with both mothers and fathers.

Although less attention in the literature has been paid to the negative effects of parents’ discrimination on their children’s psychosocial outcomes, theoretically racial- and SES-based discrimination experienced by caregivers could compromise optimal parenting practices and have downstream consequences on youth behavior. Building on the well-established association between mother’s perceived discrimination and depressive symptoms in African American families, there is also an established relationship between elevated levels of maternal depressive symptoms and child externalizing behaviors (McNiel et al., 2014). In a cross-sectional study, Boyd et al. (2011) found that African American mothers with higher depressive symptoms reported higher levels of externalizing behaviors in their children (ages 7-14). Along with externalizing behaviors in children, prior longitudinal research has shown that more parental experiences with discrimination predicted higher levels of depressive symptoms and lower psychological well-being among adolescents ages 12-17 (Ford et al., 2013). Further, parental experiences of racially based discrimination have been linked to higher levels of internalizing problem behaviors (e.g., depressive symptoms and anxiety) for African American children at age 7 (Anderson et al., 2015) and greater externalizing behaviors for Latinx and African American children ages 7-14 (McNiel et al., 2014).

Additionally, more work is needed to better understand the unique influence of family system level factors (e.g., parental discrimination, mental health, and parenting) on the school-age years as prior work has focused on earlier developmental periods or adolescence alone. The school-age years represent important developmental sequelae including self-concept formation and expansion of self-regulation skills which are key predictors of later behavioral problems (Markus & Nurius, 1984). There are also unique socioemotional developmental challenges associated with the school-age years (Markus & Nurius, 1984). Further, prior work has highlighted hormonal changes during middle to late childhood in these pre-adolescent periods that may be particularly influential in early peer evaluation, social comparison, and other social stressors which can have downstream effects on the transition to adolescence and later adolescent behavior problems (Shanahan et al., 2007). The effects of social stressors faced by children in the school-age years and the quality of emotional support they receive from caregivers during that time may impact the development of their coping skills for social stressors that tend to intensify during the transition to adolescence and beyond. Further, the experiences of receiving social support from caregivers during these early social stressors influences whether they continue to go to caregivers for emotional support when such stressors increase in frequency or intensity as they develop (Chipuer, 2004; Schinka et al., 2012; Shanahan et al., 2007).

The school-age years represent a critical time in which experiences in the parent-child relationship may be particularly influential on socioemotional development and child behavior prior to adolescence when experiences in peer relationships may have a greater impact on behavior (Dexter et al., 2013). To that end, during middle to late childhood, children are learning to interact with their peers often through parental modeling as they are still watching and imitating their family members (Kumar & Raj, 2016). Taken together, experiences during middle to late childhood set the stage for an adaptive or maladaptive transition to adolescence (Côté, 2009; Votruba-Drzal, 2006).

Under a developmental psychopathology framework, challenging parental experiences during children’s middle to late childhood likely represent increased risk for difficulties in the transition to adolescence and downstream consequences on behavior in late adolescence (Eme, 2017). Parental depressive symptoms in the context of experiences of discrimination may interfere with parent-child relationship functioning in those important school age years. Specifically, they may make engaging in positive behavior support and proactive parenting, both of which require considerable energy and time, less likely for parents enduring depressed mood and low activation. Decreased positive behavior support and proactive parenting during the transition to adolescence may again have negative downstream effects on the development of antisocial behaviors during the adolescent years.

However, from a resilience perspective, supporting parents’ mental health and parenting practices in the context of the emotional impact of discrimination experiences may positively impact parent level factors and have positive benefits downstream on the parent-child relationship which may then set the stage for an adaptive transition to adolescence and later adolescent behavior (Anderson et al., 2021). Importantly, supporting parents in the context of discrimination should not be pursued in isolation and efforts to dismantle systems of oppression that foster continued prevalence of discrimination need to be pursued simultaneously.

Utilizing the current study’s sample of ethnically and racially diverse, low income parents and children, Savell and colleagues (2018) found that parental experiences of racial- and SES-based discrimination during middle childhood were associated with later youth and caregiver reports of antisocial behaviors at age 14. However, in the context of a positive parent-child relationship (e.g., high levels of warmth, support, and communication), children whose parents were experiencing higher levels of discrimination appeared to be buffered from the negative effects of discrimination on their 14-year-old’s antisocial behavior (Savell et al., 2018). However, the prior study did not account for parent mental health nor more robust measures of positive parenting practices.

Despite a growing body of work linking parental experiences of discrimination and youth problem behaviors, more research is needed to understand nuances in the possible mechanisms by which these two variables are related. In particular, parent mental health and the understudied effects of low levels of positive parenting practices (e.g., supporting positive behavior, proactive parenting) in the context of elevated parental depressive symptoms. The present study seeks to add to the growing body of work by investigating two potential mechanisms (i.e., elevated levels of parental depressive symptoms and low levels of positive parenting) by which parental experiences of discrimination in their children’s school-age years are longitudinally related to their adolescents’ antisocial behavior.

The Current Study

The current study examined the cascading influences of caregivers’ discrimination experiences on adolescent antisocial behaviors in a large (N=572) longitudinal sample of low-income families from African American, Hispanic American, and European American backgrounds. The advantage of the current sample is that we can investigate how diverse and intersectional experiences of prejudice may impact parents and their children. Specifically, extending from past work by Savell et al., 2018 and Anderson et al., 2015, the current study uniquely explored whether caregivers’ experiences of racial and SES discrimination during their children’s middle childhood (i.e., age 7.5-9.5) would predict adolescent self-reported antisocial behavior at age 16 via caregiver depressive symptoms and positive parenting practices. These findings have the potential to shed new light on cascading influences between caregiver discrimination and adolescent antisocial behavior. Building on the relation reported in Savell et al. (2018) from youth age 14 and extending later into adolescence (i.e., age 16), we expected that caregiver experiences of discrimination in middle childhood (i.e., child age 7.5-9.5) would predict elevated depressive symptoms at child age 10 and subsequently lower levels of positive parenting practices (e.g., supporting positive behavior, proactive parenting, warmth, support and communication) at child age 14, which would in turn predict increased adolescent antisocial behavior at age 16. Finally, although the sample is comprised of low-income families exposed to socioeconomic-based discrimination, we expected Black and Hispanic American caregivers would experience more discrimination than European American caregivers, recognizing the often compounding intersection of race and socioeconomic status.

Methods

Participants

The participants in the present study were drawn from the 731 families participating in the ongoing, multisite Early Steps Project. Families were initially recruited when the child was between 2 years 0 months and 2 years 11 months of age from Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in the metropolitan areas of Pittsburgh, PA, and Eugene, OR, and the city of Charlottesville, VA, and surrounding counties (Dishion et al., 2008). Families were screened using inclusion criteria during recruitment such as: (a) child behavior (conduct problems, high-conflict relationships with adults), (b) family problems (maternal depressive symptoms, daily parenting challenges, substance use problems, teen parent status) and (c) socio-demographic risk (no more than 2 years post high school education, and low family income). Two or more of the three risk factors were required for inclusion in the sample. All children in the sample had above-normative levels of externalizing problems to ensure significant levels of problem behavior. For a detailed description of the study design and the Family Check-Up intervention, see Dishion et al. (2008).

Of the 731 families (49% female children), 272 (37%) were recruited in Pittsburgh, 271 (37%) in the Eugene site and 188 (26%) in Charlottesville. Across all sites children were from the following racial groups: 27.9% African American, 50.1% European American, 13.0% biracial and 8.9% other races (e.g., American Indian, Native Hawaiian) and 13.4% of the sample reported being Hispanic American. Throughout the duration of the study two- to three-hour in-home assessments were conducted with the families annually between ages 2 and 5 and 7.5 to 10.5, with additional two-hour home-based follow-up assessments at youth ages 14 and 16.

Caregivers completed questionnaires regarding socio-demographic characteristics, contextual factors, and child behavior, and participated in parent-child discussion tasks that were tailored to be developmentally appropriate at each age. The Primary Caregiver (PC) was identified as the main adult provider of childcare, which generally was the biological mother of the target child (96% of the time), but in some cases was a grandparent, father, or a non-relative. The PC also designated Alternate Caregivers (AC), who could be any significant adult caregiver of the target child (TC) and, in most cases, was the father figure (61%). The present study utilized data from 572 families from the Early Steps Multisite Project for assessments when TCs were ages 2, 7.5, 9.5, 10.5, 14, and 16 years old. Retained families (572 families continued to participate in the study in at least one assessment wave between the age 7.5 and age 16 assessment) and attritted families (159 families did not participate in the relevant questionnaires at any wave between the age 7.5 assessment and age 16 assessment and were no longer included in the analytic sample) did not significantly differ (ps > .05) on child gender, child race, PC race, intervention status, site location, annual family income or PC education level at child age 7.5.

Compliance with Ethical Standards

Parents provided written consent prior to the administration of any measures at each assessment. A Certificate of Confidentiality was obtained from the National Institutes of Health to offer further protection of participants’ confidentiality and encourage honest reporting. Institutional review board approval was obtained at each site for all screening and assessment procedures. The authors have no conflicts of interest to report.

Measures

Demographic Characteristics.

At each annual assessment with the PC and TC, a semi-structured interview was conducted to assess family demographic characteristics such as gender, race and ethnicity, household annual income, parent education, and household composition. For the current study, site location and intervention status were collected at the age 2 assessment and demographic information on PC and TC gender and race and ethnicity, PC education level, and family income were collected at the age 7.5 assessment. Site location was included as a fixed effect and because there were three locations, two variables were included in our analyses to control for the effect of location. The first contrasted Charlottesville, VA with Pittsburgh, PA, and the second contrasted Eugene, OR with Pittsburgh, PA.

PC Experiences of Everyday Discrimination.

PC experiences of discrimination were measured using the Microaggression Scale (MIC; adapted from Walters et al., 2002), administered at the age 7.5 and 9.5 assessments. The MIC is a 9-item measure assessing experiences of ethnic/racial and income discrimination from others. See the Supplemental Materials for the list of items on the MIC utilized in the present study. Parents rated the frequency of discrimination in specific situations that they faced at child ages 7.5 and 9.5 (e.g., “Have you ever been expected to act in a stereotypical manner because of your ethnicity/race? because of your income?”) on a scale ranging from 1 (almost never) to 5 (almost always). Total scores across the nine items on the MIC for race and SES based discrimination were calculated at age 7.5 and at age 9.5. For both ages 7.5 and 9.5, Cronbach alphas indicated excellent internal reliability for PC income (α = .88-.89) and racial discrimination (α = .87-.88). Scores for race discrimination at age 7.5 and 9.5 were correlated at .65 and were averaged. Similarly, scores for SES based discrimination at age 7.5 and 9.5 were correlated at .62 and were averaged. Finally, the average racial discrimination score across ages 7.5 and 9.5 was added to the average SES based discrimination score across ages 7.5 and 9.5. This combined score that represented intersectional racial and SES discrimination was utilized in the present study analyses.

Primary Caregiver Depressive Symptoms.

Primary caregivers completed the Center for Epidemiological Studies Depression Scale (CES-D; Radloff, 1977) at the age 10.5 assessment. The CES-D Scale is a 20-item self-report scale designed to measure depressive symptomatology in the general population. Primary caregivers rated how often they felt each symptom during the past week on a four-point scale ranging from “rarely or none of the time” to “most or all of the time.” Sample items include “I had trouble keeping my mind on what I was doing” and “I had crying spells.” Summed scores were utilized. Cronbach alphas indicated excellent internal consistency among items (α = .92).

Positive Parenting Practices.

A latent factor was developed to assess multiple facets of primary caregivers’ positive parenting practices, which included positive behavior support, proactive parenting and positive parent-child relationship quality. Primary caregivers completed the Parenting Youth and Adolescents (PARCA) measure at the age 14 assessment. The PARCA is a 14-item self-report measure designed to assess perceived parental competence in four domains: supporting positive behavior, proactive parenting, limit setting and monitoring (McEachern et al., 2011). We utilized the two parenting strategies associated with increasing the frequency of positive behaviors that are not punitive in nature. Parents were asked to rate how often they engage in each item on a seven-point scale from “not at all” to “most of the time.” A sample item from the supporting positive behavior scale is “Reward your child when they did something well or showed a new skill?” and a sample item from the proactive parenting scale is “Prepare your child for a challenging situation (such as starting a new school or going into a stressful situation)?” Total scores were used in this analysis. Cronbach alphas indicated adequate internal consistency for positive behavior support (α = .72) and for proactive parenting (α = .74).

PCs also completed the Adult Child Relationship Scale (ACRS) at the age 14 assessment. The ACRS is a 15-item measure adapted from the Student-Teacher Relationship Scale (Pianta et al., 1995), which assesses the quality of the parent–child relationship and yields two subscales: the Positive Relationship subscale and the Conflict Relationship subscale (See Supplemental Materials for the list of items used). To determine if a positive parent–child relationship would explain the effects of caregiver discrimination on adolescent antisocial behavior, the five-item Positive Relationship subscale was used in the present study. A sample item from the Positive Relationship subscale is “If upset, this child seeks comfort from me.” Responses were on a Likert scale of 0 (Definitely not) to 4 (Definitely). Cronbach alpha (α = .79) indicated acceptable internal consistency. We utilized structural equation modeling for developing the latent factor of positive parenting practices including the total scores on proactive parenting, supporting positive behavior, and positive parent-child relationship quality.

Adolescent Antisocial Behavior.

To assess youth antisocial behaviors, target youth completed an adapted version of the Self Report of Deviance Questionnaire (SRD; Elliot et al., 1985) at the age 16 in home assessment that did not include substance use items as a more in-depth measure of adolescent substance use was administered at this wave. The 46-item SRD assesses the frequency of aggressive and other antisocial behaviors an individual has engaged in over the past 12 months. Responses are coded on a Likert scale of 0 (never), 1 (once/twice), and 2 (more often). Sample items include: “Have you cheated on school tests? Have you stolen or tried to steal a bicycle or skateboard? Have you been arrested?” Scores on the 46 items were summed to create a total score. Cronbach alpha indicated excellent internal reliability, α = .90.

Data Analysis

Descriptive statistics and intercorrelations were computed using the Base package in R (R Core Team, 2021). The main study hypotheses were tested with structural equation models (SEM) using the “lavaan” package in R. The lavaan package was used to longitudinally investigate via SEM the pathways between primary caregiver experiences of discrimination in children’s middle childhood and adolescent antisocial behaviors. A latent variable of positive parenting practices at youth age 14 was created to account for multiple indicators of positive parenting. The latent variable, positive parenting practices at youth age 14, incorporated positive behavior support, positive parent-child relationship, and proactive parenting. The indicators of the latent variable were significantly correlated (ps < .001) suggesting adequate factor loadings. In our first reported model, the loading of supporting positive behavior on this latent factor was constrained to 1, the loading of positive parent-child relationship quality was .41, and the loading of proactive parenting practices was .53. In our second reported model, these loadings were 1 (constrained), .35, and .45, respectively. The outcome variable (i.e., youth antisocial behavior at age 16) showed skewness and was transformed using square root transformation prior to estimation. We chose to transform the variable rather than using robust standard errors or other approaches, in line with recent work by Knief and Forstmeier (2021), which suggests that this method may be the most helpful approach when variance strongly increases with the mean, as was the case with these data. Transformation resulted in reduced skew for youth antisocial behavior (2.7 to 0.66).

To test the study hypotheses, we first fit a serial mediation model (Cascading Developmental Model depicted in Figure 1) which included PC depressive symptoms at youth age 10.5 and subsequently levels of positive parenting practices at youth age 14 as potential mediators of the relationship between PC experiences of discrimination at youth ages 7.5 and 9.5 and adolescent antisocial behavior at age 16. This model controlled for intervention status and youth gender. The full model is depicted in Figure 1. Additionally, we fit a multigroup model to examine whether there was any better fit when the paths were allowed to vary based on treatment group compared to when they were not allowed to vary based on treatment group (see Sensitivity Analysis below for more details). Conventionally, well-fitting models have χ2 values between two to five times larger than the model degrees of freedom, comparative fit index (CFI) and Tucker-Lewis Index (TLI) values > .95, a root mean square error of approximation (RMSEA) value < .80, and a standardized root mean square residual (SRMR) value < .80, although there is some debate around the exact cutoff points (Hooper et al., 2008).

Figure 1. Cascading Developmental Model.

Figure 1

Note. Standardized regression coefficients are shown with standard errors in parentheses. Intervention status and TC gender were included as covariates in this model.

***p <.001, ** p < .01, * p < .05. PC = Primary Caregiver; TC = Target Child; A = Age

Next, we fit a second serial mediation model (Ecological Model with PC Race as First Predictor depicted in Figure 2) that accounted for ecological factors in which PC’s educational level, family income, and site location of the family were included as covariates in addition to intervention status and youth gender. Location was included as a fixed effect and because there were three locations, two variables were included in our analyses to control for the effect of location. The first contrasted Charlottesville, VA with Pittsburgh, PA, and the second contrasted Eugene, OR with Pittsburgh, PA. To increase sample size and subsequent power to detect effects, African American and Hispanic/Latinx PCs were included in one group to reflect the broad experiences of PCs coming from a marginalized racial background. Whether the PC came from a marginalized racial background was the first predictor of the cascading pathway, followed by levels of PC discrimination, PC depressive symptoms, PC positive parenting practices, and TC antisocial behavior. The full model is depicted in Figure 2. The second model incorporated ecological factors to account for the expectation that although the sample is comprised of low-income families exposed to socioeconomic-based discrimination in rural, suburban, and urban locations, we expected African American and Hispanic American PCs would experience more discrimination than European American PCs. This strategy attempted to account for the often compounding intersection of race and socioeconomic status. However, the experiences of African American and Hispanic/Latinx individuals are distinct within the historical and cultural aspects of the United States; future research with larger samples of Hispanic/Latinx and African American caregivers would benefit from study designs that are well-powered to examine the unique experiences of these groups separately.

Figure 2. Ecological Model.

Figure 2

Note. Standardized regression coefficients are shown with standard errors in parentheses. PC’s educational level, family income, site location of the family, intervention status, and TC gender were included as covariates in this model.

***p <.001, ** p < .01, * p < .05. PC = Primary Caregiver; TC = Target Child; A = Age

Results

Descriptive Statistics and Intercorrelations

Descriptive statistics for categorical demographic characteristics are presented in Table 1 and continuous demographic characteristics are presented in Table 2. Descriptive analysis of race and SES discrimination revealed that the average discrimination scores were 5.61 (SD=2.00) with a range of 4 to 13.89 with 84% of PCs endorsing multiple experiences of discrimination in their children’s school-age years. Intercorrelations are presented in Table 3.

Table 1.

Descriptive Statistics of Categorical Variables

Variable N (%) Variable N (%)
Intervention Status PC Race
 Treatment group 288 (50.3%)  Asian 2 (0.4%)
 Control Group 284 (49.7%)  Black/African American 163 (28.8%)
TC Gender  Hispanic/Latinx 49 (0.17%)
 Male 283 (49.5%)  Native American 10 (1.75%)
 Female 289 (50.5%)  Native Hawaiian/Pacific Islander 1 (0.17%)
TC Race  White 313 (55.4%)
 Black/African American 165 (29.20%)  Biracial 17 (3.85%)
 Hispanic/Latinx 42 (7.4%)  Other 5 (0.90%)
 White 270 (47.80%)
 Native American 4 (0.7%) Site Location
 Biracial 64 (11.3%)  Charlottesville, VA 147 (25.7%)
 Other 8 (1.4%)  Eugene, OR 207 (36.1%)
 Pittsburg, PA 218 (38.1%)

Note. Primary Caregiver (PC) and Target Child (TC) gender were coded as 1= male, 8= female. Intervention status was coded as 0 = control, 1= Family Check-up. Site location was included as a fixed effect and because there were three locations, two variables were included in our analyses to control for the effect of location. The first contrasted Charlottesville, VA with Pittsburgh, PA, and the second contrasted Eugene, OR with Pittsburgh, PA.

Table 2.

Descriptive Statistics of Continuous Variables

Descriptive Statistics Continuous
Variable Name Mean SD Range Number
Missing
(%)
PC Education in Years (TC age 7.5) 12.59 2.07 0-19 81 (14.2%)
Annual Family Income (TC age 7.5) $27,801.74 $18,085.45 $0-$100,000 97 (17.0%)
PC Race and SES Discrimination (TC age 7.5-9.5) 5.61 2.00 4-13.89 117 (20.5%)
PC Depressive Symptoms (TC age 10.5) 3.21 1.59 0-7.55 70 (12.2%)
Proactive Parenting (TC age 14) 4.93 1.22 1-6 55 (9.62%)
Positive Relationship (TC age 14) 20.03 4.35 5-20 43 (7.52%)
Positive Behavior Support (TC age 14) 5.5 0.94 2.57-4.43 44 (7.69)
TC Self-Reported Antisocial Behavior (TC age 16) 1.92 1.36 0-7.42 0 (0%)

Note. Primary Caregiver (PC) education is the number of years of education. Annual income is in US dollars. TC is target child.

Table 3.

Intercorrelations Among Constructs in Full Model

PC
Discrimination
PC
Depressive
Symptoms
Positive
Parent-child
Relationship
Positive
Behavior
Support
Proactive
Parenting
TC
Antisocial
Behaviors
PC Discrimination 1
PC Depressive Symptoms 0.29**** 1
Positive Parent-child Relationship −0.01 −0.14** 1
Positive Behavior Support 0.01 −0.19*** 0.32**** 1
Proactive Parenting 0.10* −0.11* 0.12* 0.44**** 1
TC Antisocial Behaviors −0.11* 0.02 −0.14** −0.12* 0.44**** 1
*

p < .1

**

p < .05

***

p < .01

****

p <. 001 PC is Primary Caregiver. TC is Target Child.

Cascading Developmental Model

A linear regression controlling for intervention status and youth gender showed that higher levels of caregiver experiences of discrimination at child ages 7.5 and 9.5 predicted more adolescent antisocial behavior at child age 16, b = .100, SE = .045, p = .027. We next tested our serial mediation model. Our full model including the covariates youth gender and intervention status showed adequate fit, χ2(10) = 23.20, p = .212; CFI = 0.983; TLI = .957; RMSEA = 0.029 [0.000, 0.066], SRMR = 0.027. Higher levels of caregiver experiences of discrimination in their children’s middle childhood predicted higher levels of caregiver depressive symptoms at child age 10.5, b=.303, 95% Cl [.186, .432], SE =.062, p < .001, which then predicted lower levels of positive parenting practices at child age 14, b=−.187, 95% Cl [−.289, −.081], SE= 0.053, p <.001. Lower levels of positive parenting practices in turn predicted higher levels of youth-reported antisocial behavior at age 16, b= −.171, 95% Cl [−.328, −.044], SE = .073, p = .019. The confidence intervals of a 5,000 resample bootstrapped estimate of the indirect effect of caregiver discrimination on adolescent antisocial behavior via caregiver depressive symptoms and positive parenting did not include zero, b = .010, 95% CI [.002, .024], SE = .006, suggesting that the data are consistent with serial mediation. See Figure 1 for a depiction of the results.

Ecological Model with PC Race as First Predictor

A one-way ANOVA revealed that African-American PCs were endorsing more racial and SES based discrimination than Hispanic/Latinx and White PCs (ps between .001 and .02). We next tested our serial mediation model with PC race as the first predictor. The full model including the covariates youth gender, intervention status, PC educational level, annual family income and family site location (with Pittsburgh, PA, as the reference group), fit the data adequately, χ2(20) = 33.70 CFI=.938, TLI=0.824, RMSEA = 0.043 [0.014, 0.067], SRMR = 0.031. Holding a marginalized racial identity (i.e., PCs coming from Black and Hispanic American backgrounds) predicted higher levels of caregiver experiences of discrimination at child ages 7.5 and 9.5, b = .335, 95% Cl [.116, .558], SE = .111, p = .003. Higher levels of caregiver experiences of discrimination in their children’s middle childhood predicted higher levels of caregiver depressive symptoms at child age 10.5, b=.323, 95% Cl [.206, .457], SE=.064, p < .001, which then predicted lower levels of positive parenting practices at child age 14, b= −.167, 95% Cl [−.280, −.053], SE= 0.057, p=.003. Lower levels of positive parenting practices were, in turn, related to higher levels of youth-reported antisocial behaviors at age 16, b = −.167, 95% Cl [−.348, −.024], SE = .085, p= .048. The confidence intervals of a 5,000 resample bootstrapped estimate of the indirect effect of caregiver discrimination on adolescent antisocial behavior via caregiver depressive symptoms and positive parenting did include zero, b = .003, 95% CI [.00, .01], SE = .003, suggesting that the data are inconsistent with serial mediation, see Figure 2 for a depiction of results. However, each hypothesized pathway was significant and in the expected direction, consistent with a cascading model of the effect of caregiver racial identity on perceived discrimination, depressive symptoms, positive parenting, and adolescent antisocial behavior.

Sensitivity Analysis for Intervention Effects

Although the present study accounted for the effects of the intervention within the model, it should be noted that separate multigroup analyses suggested that these models did not fit any better when the paths were allowed to vary based on treatment group than when they were not allowed to vary based on treatment group, suggesting that the effects are similar for both intervention and control group participants.

Discussion

The present study extends a growing body of research on the effects of parental discrimination on child development (e.g., Anderson et al., 2015; Ford et al., 2013; Savell et al., 2018) by investigating two potential mechanisms: parental depressive symptoms and low positive parenting practices. Consistent with prior research, we found that caregiver experiences of discrimination during their child’s school-age years were associated with future parent depressive symptoms and lower levels of positive parenting, which in turn were associated with higher levels of later youth antisocial behavior. We found evidence for a negative cascading effect of discrimination to proximal family processes that have been consistently linked to youth problem behavior: maternal depressive symptoms and low positive parenting (Boyd et al., 2011; Mays et al., 2007). This finding suggests that systems of oppression that allow discrimination experiences to persist may jeopardize children’s psychosocial development by increasing proximal family process risks for adolescent antisocial behavior.

Additionally, and in line with Brody et al. 2008 and others (e.g., Anderson et al., 2015), we found that caregivers’ experiencing higher levels of race and SES discrimination in their children’s middle childhood (e.g., ages 7.5-9.5) were more likely to be experiencing higher levels of depressive symptoms at child age 10.5. Further, in our ecological model, we found that based on the systematic oppression of people of color in the United States, unsurprisingly African American and Hispanic American PCs reported experiencing the highest levels of race and SES-based discrimination. However, future work with larger samples of Hispanic/Latinx and African American PCs would benefit from study designs that can examine the unique experiences of these groups separately. Previous work has largely focused on parental discrimination experienced in their children’s early childhood or late adolescence; thus, focusing on the school-age years in the present study represents a novel contribution to the present literature on the impact of parental discrimination on their children’s problem behavior across development (Hughes et al., 2006; Ford et al., 2013).

Building on prior work (e.g., Varner et al., 2020), we found that caregivers experiencing elevated levels of depressive symptoms in the context of discrimination were less likely to engage in positive parenting practices (e.g., supporting positive behavior, proactive parenting, warmth, support and communication). Previous research on parental discrimination and parenting practices has focused on the effects of harsh, coercive parenting in the context of discrimination and diminished parent mental health (Anderson et al., 2015; Ayón & García, 2019; Mays et al., 2007). Understanding how low levels of positive parenting practices in the context of parental discrimination experiences and associated downstream effects on parental mental health may impact adolescent antisocial behavior represents an important contribution to the literature for teachers, policy makers, and practitioners developing interventions to support families in reducing risk for adolescent antisocial behavior. The findings highlight the critical need for teachers and policy makers to be aware of the impact of broader systems in which the youth is situated (e.g., family system, societal structures and systems of oppression that allow daily discrimination experiences to persist) on youth behavior and for clinicians to consider the impact of these broader systems in their case conceptualization and treatment planning with youth.

The prevalence of discrimination has come to the forefront of many Americans’ minds in response to the murder of George Floyd and subsequent rise of the Black Lives Matter movement (Rickford, 2016). Recent research sheds light on the far-reaching impacts of discrimination on one’s health and wellbeing (American Public Health Association, 2018). Individuals from marginalized racial groups face discrimination not only directed towards racial identity but also towards one’s SES (Braveman et al., 2010), which has profound effects on mental health and well-being (Bécares & Zhang, 2018). The negative impact of racial and SES discrimination also has downstream consequences on other critical domains of life, particularly for parents. Experiences of discrimination often are associated with worsening mental health concerns for family systems and, as our findings suggest, may influence the degree to which parents are able to engage in positive parenting practices. Supporting families experiencing discrimination remains critical; however, simultaneous efforts to dismantle systems of oppression that allow the perpetration of discrimination to persist are essential.

Strengths and Limitations

The present study has a number of strengths including the use of multiple informants, the use of a large, prospective longitudinal design that spans middle childhood into mid-adolescence, and a sample of low-income families from diverse racial and ethnic backgrounds and communities (i.e., rural, suburban, and urban settings). The findings themselves extend prior work on the links between caregiver discrimination and youth problem behavior and highlight the meaningful effects of how discrimination influences maternal depressive symptoms and subsequent low levels of positive parenting practices, and subsequent youth-reported adverse impacts on their antisocial behavior. However, several limitations should be acknowledged in interpreting these findings. PCs self-reported on their discrimination experiences, depressive symptoms, and parenting practices; hence, associations among these variables should be interpreted in light of the potential for both reporter and method bias to inflate the magnitude of associations (Fergusson & Horwood, 1989). To partially address this limitation, the present study utilized a multi-informant approach by incorporating adolescent reports of antisocial behavior. However, it would benefit future work to include additional methods (e.g., observations of parenting) and informants (e.g., teacher reports of youth antisocial behavior) to increase the credibility of findings. Additionally, it would strengthen future study designs examining the cascading influences of parental discrimination to account for parental depressive symptoms and child behavior in early childhood. As 96% of the PCs were biological parents of the target children in the present study, future research also would benefit from genetically informed research designs that are able to account for the potential dynamic interplay between environment and genetic risk for adolescent antisocial behavior (Lemery-Chalfant et al., 2019).

Scant research in the present literature has explored the potential buffering effect of family-based interventions on the strength of the association between parental experiences of racial and socioeconomic based discrimination and their children’s problem behavior in late adolescence. Although the present study accounted for the effects of the intervention within the model, separate multigroup analyses suggested that these models did not fit any better when the paths were allowed to vary based on treatment group than when they were not allowed to vary based on treatment group, suggesting that the effects are similar for both intervention and control group participants. This suggests that modifications to family-based interventions will be needed to address discrimination as an ecological stressor for families. To our knowledge, it has not been examined in the prior literature whether other evidence-based family interventions (e.g., Parent-child Interaction Therapy, Parent Management Training, Incredible Years) are able to buffer the negative effects of parental discrimination on parenting practices and their children’s later problem behavior; this area remains an important topic of future study. Threats to parent well-being, such as parental experiences of discrimination, may have less of an impact on youth behavior when there is a stronger bond between parent and child, which may be facilitated by a culturally informed family-based intervention to bolster positive parenting practices and support the parent-child relationship. Future research could build on the present study by implementing strengths-based, culturally informed family interventions to buffer the effects of parental discrimination on the psychological well-being of the parent and child, as well as the overall family system. However, these intervention efforts cannot be pursued in isolation; rather, simultaneous efforts to mitigate racism and discrimination among perpetrators, and policy change to reduce systemic racism, are needed.

Implications and Conclusion

The present study reaffirms the deleterious effects of parents’ exposure to racial and SES discrimination and the need to dismantle systems that condone and endorse oppression. Leaning on Bronfenbrenner’s ecological systems theory (1986), experiences in the parent-child relationship (e.g., caregiver mental health, parenting practices) and broader community and societal context (e.g., systems of oppression) represent critical features of the child’s environment that influence risk for adolescent antisocial behaviors; thus, in terms of Bronfenbrenner’s ecological model, discrimination experienced by caregivers may impact the development of adolescent antisocial behaviors at the level of both the microsystem and exosystem.

Our findings indicate that the consequences of higher levels of caregiver experiences of discrimination during their child’s school-age years contributes to antisocial behaviors in their child’s late adolescence. Additionally, we found that higher levels of PCs’ depressive symptoms predicted lower levels of caregiver endorsement of positive parenting practices, which then predicted higher levels of adolescent antisocial behaviors. Consistent with the ecological systems theory first proposed by Bronfenbrenner (1986) and updates to this theory specifically for families of color proposed by Stern et al. (2022), interventions should take into account the effects of systems of oppression on the family system. As a society, we need to work to address discrimination based on race, class, socioeconomic status, gender, sexual orientation or any other facet of an individual’s identity. When supporting parents in strengthening their use of positive parenting practices, it will be essential to address experiences of discrimination and its negative impact on parent mental health.

Supplementary Material

1

Acknowledgments

Support for this research was provided by the National Institute on Drug Abuse to the fifth, sixth, and seventh authors (R01 DA023245, R01 DA022773). We also extend our appreciation to the staff and research participants of the Early Steps Multisite Study.

References

  1. Ailshire JA, & House JS (2011). The Unequal Burden of Weight Gain: An Intersectional Approach to Understanding Social Disparities in BMI Trajectories from 1986 to 2001/2002. Social Forces, 90(2), 397–423. 10.1093/sf/sor001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. American Public Health Association. (2018). Addressing law enforcement violence as a public health issue. https://www.apha.org/policies-and-advocacy/public-health-policy-statements/policy-database/2019/01/29/law-enforcement-violence
  3. Anderson RE, Hussain SB, Wilson MN, Shaw DS, Dishion TJ, & Williams JL (2015). Pathways to pain: Racial discrimination and relations between parental functioning and child psychosocial well-Being. Journal of Black Psychology, 41(6), 491–512. 10.1177/0095798414548511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Anderson RE, Jones SC, Saleem FT, Metzger I, Anyiwo N, Nisbeth KS, Bess K, Resnicow K, & Stevenson HC (2021). Interrupting the pathway from discrimination to Black adolescents’ psychosocial outcomes: The contribution of parental racial worries and racial socialization competency. Child Development, 92(6), 2375–2394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Ayón C, & García SJ (2019). Latino immigrant parents’ experiences with discrimination: Implications for parenting in a hostile immigration policy context. Journal of Family Issues, 40(6), 805–831. 10.1177/0192513X19827988 [DOI] [Google Scholar]
  6. Bécares L, & Zhang N (2018). Perceived interpersonal discrimination and older women’s mental health: Accumulation across domains, attributions, and time. American Journal of Epidemiology, 187(5), 924–932. 10.1093/aje/kwx326 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Borrell LN, Jacobs DR, 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. 10.1093/aje/kwm180 [DOI] [PubMed] [Google Scholar]
  8. Boyd RC, Diamond GS, & Ten Have TR (2011). Emotional and behavioral functioning of offspring of African American mothers with depression. Child Psychiatry and Human Development, 42(5), 594–608. 10.1007/s10578-011-0235-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Braveman PA, Cubbin C, Egerter S, Williams DR, & Pamuk E (2010). Socioeconomic disparities in health in the United States: What the patterns tell us. American Journal of Public Health, 100(S1), S186–S196. 10.2105/AJPH.2009.166082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Brody GH, Chen Y-F, Kogan SM, Murry VM, Logan P, & Luo Z (2008). Linking perceived discrimination to longitudinal changes in African American mothers’ parenting practices. Journal of Marriage and Family, 70(2), 319–331. 10.1111/j.1741-3737.2008.00484.x [DOI] [Google Scholar]
  11. Bronfenbrenner U. (1986). Ecology of the family as a context for human development: Research perspectives. Developmental Psychology, 22(6), 723. [Google Scholar]
  12. Brown-Iannuzzi JL, Cooley E, McKee SE, & Hyden C (2019). Wealthy Whites and poor Blacks: Implicit associations between racial groups and wealth predict explicit opposition toward helping the poor. Journal of Experimental Social Psychology, 82, 26–34. [Google Scholar]
  13. Carter RT, Johnson VE, Kirkinis K, Roberson K, Muchow C, & Galgay C (2019). A meta-analytic review of racial discrimination: Relationships to health and culture. Race and Social Problems, 11(1), 15–32. 10.1007/s12552-018-9256-y [DOI] [Google Scholar]
  14. Chen Y, Haines J, Charlton BM, & VanderWeele TJ (2019). Positive parenting improves multiple aspects of health and well-being in young adulthood. Nature Human Behaviour, 3(7), 684–691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Chipuer HM (2004). Australian children’s understanding of loneliness. Australian Journal of Psychology, 56(3), 147–153. 10.1080/00049530412331283372 [DOI] [Google Scholar]
  16. Crenshaw K. (1989). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989(8), 139–167. [Google Scholar]
  17. Côté JE (2009). Identity formation and self-development in adolescence. In Lerner RM & Steinberg L (Eds.), Handbook of adolescent psychology: Individual bases of adolescent development (p. 266–304). John Wiley & Sons Inc. [Google Scholar]
  18. Danzig AP, Dyson MW, Olino TM, Laptook RS, & Klein DN (2015). Positive parenting interacts with child temperament and negative parenting to predict children’s socially appropriate behavior. Journal of Social And Clinical Psychology, 34(5), 411–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Dexter CA, Wong K, Stacks AM, Beeghly M, & Barnett D (2013). Parenting and attachment among low-income African American and Caucasian preschoolers. Journal of Family Psychology, 27(4), 629–638. 10.1037/a0033341 [DOI] [PubMed] [Google Scholar]
  20. Dishion TJ, Connell A, Weaver C, Shaw D, Gardner F, & Wilson M (2008). The Family Check-Up with high-risk indigent families: Preventing problem behavior by increasing parents’ positive behavior support in early childhood. Child Development, 79(5), 1395–1414. 10.1111/j.1467-8624.2008.01195.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Dupree CH, Torrez B, Obioha O, & Fiske ST (2021). Race–status associations: Distinct effects of three novel measures among White and Black perceivers. Journal of Personality and Social Psychology, 120(3), 601–625. 10.1037/pspa0000257 [DOI] [PubMed] [Google Scholar]
  22. Elliot DS, Huizinga D, & Ageton SS (1985). Explaining delinquency and drug use (1st ed.). SAGE Publications, Inc. [Google Scholar]
  23. Eme R. (2017). Developmental psychopathology: A primer for clinical pediatrics. World Journal of Psychiatry, 7(3), 159–162. 10.5498/wjp.v7.i3.159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Fergusson DM, & Horwood LJ (1989). Estimation of method and trait variance in ratings of conduct disorder. Journal of Child Psychology and Psychiatry, 30(3), 365–378. [DOI] [PubMed] [Google Scholar]
  25. Ford KR, Hurd NM, Jagers RJ, & Sellers RM (2013). Caregiver experiences of discrimination and African American adolescents’ psychological health over time. Child Development, 84(2), 485–499. 10.1111/j.1467-8624.2012.01864.x [DOI] [PubMed] [Google Scholar]
  26. Gassman-Pines A (2015). Effects of Mexican immigrant parents’ daily workplace discrimination on child behavior and family functioning. Child Development, 86(4), 1175–1190. 10.1111/cdev.12378 [DOI] [PubMed] [Google Scholar]
  27. Gibbons FX, Etcheverry PE, Stock ML, Gerrard M, Weng C-Y, Kiviniemi M, & O’Hara RE (2010). Exploring the link between racial discrimination and substance use: What mediates? What buffers? Journal of Personality and Social Psychology, 99(5), 785–801. 10.1037/a0019880 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Hall EV, Hall AV, Galinsky AD, & Phillips KW (2019). MOSAIC: A model of stereotyping through associated and intersectional categories. Academy of Management Review, 44(3), 643–672. [Google Scholar]
  29. Hatzenbuehler ML, McLaughlin KA, Keyes KM, & Hasin DS (2010). The impact of institutional discrimination on psychiatric disorders in lesbian, gay, and bisexual populations: A prospective study. American Journal of Public Health, 100(3), 452–459. 10.2105/AJPH.2009.168815 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Hooper D, Coughlan J, & Mullen M (2008, September). Evaluating model fit: a synthesis of the structural equation modelling literature. In 7th European Conference on research methodology for business and management studies (Vol. 2008, pp. 195–200). [Google Scholar]
  31. Howarter AD, & Bennett KK (2013). Perceived discrimination and health-related auality of life: Testing the reserve capacity model in Hispanic Americans. The Journal of Social Psychology, 153(1), 62–79. 10.1080/00224545.2012.703973 [DOI] [PubMed] [Google Scholar]
  32. Hughes D, Rodriguez J, Smith EP, Johnson DJ, Stevenson HC, & Spicer P (2006). Parents’ ethnic-racial socialization practices: A review of research and directions for future study. Developmental Psychology, 42(5), 747–770. 10.1037/0012-1649.42.5.747 [DOI] [PubMed] [Google Scholar]
  33. Kaba AJ (2011). Explaining the causes of the black-white wealth gap in the United States. Sociology Mind, 1(03), 138. [Google Scholar]
  34. Knief U, & Forstmeier W (2021). Violating the normality assumption may be the lesser of two evils. Behavior Research Methods, 53(6), 2576–2590. 10.3758/s13428-021-01587-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kumar DMS, & Raj SJM (2016). The Impact of Attachment Styles on Social Competence of Adolescent Students. Artha Journal of Social Sciences, 15(1), Art. 1. 10.12724/ajss.36.1 [DOI] [Google Scholar]
  36. Lemery-Chalfant K, Oro V, Rea-Sandin G, Miadich S, Lecarie E, Clifford S, … & Davis MC (2019). Arizona twin project: Specificity in risk and resilience for developmental psychopathology and health. Twin Research and Human Genetics, 22(6), 681–685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lei MK, Lavner JA, Carter SE, Hart AR, & Beach SRH (2021). Protective parenting behavior buffers the impact of racial discrimination on depression among Black youth. Journal of Family Psychology, 35(4), 457–467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Lloyd C. (2021, January 12). One in four Black workers report discrimination at work. Gallup.Com. https://news.gallup.com/poll/328394/one-four-black-workers-report-discrimination-work.aspx [Google Scholar]
  39. Markus HJ, & Nurius PS (1984). Self-understanding and self-regulation in middle childhood. Development during middle childhood: The years from six to twelve, (p.147–183). National Academy Press. [Google Scholar]
  40. Mays VM, Cochran SD, & Barnes NW (2007). Race, race-based discrimination, and health outcomes among African Americans. Annual Review of Psychology, 58(1), 201–225. 10.1146/annurev.psych.57.102904.190212 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. McEachern AD, Dishion TJ, Weaver CM, Shaw DS, Wilson MN, & Gardner F (2012). Parenting young children (PARYC): Validation of a self-report parenting measure. Journal of Child and Family Studies, 21(3), 498–511. 10.1007/s10826-011-9503-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. McNeil S, Harris-McKoy D, Brantley C, Fincham F, & Beach SRH (2014). Middle class African American mothers’ depressive symptoms mediate perceived discrimination and reported child externalizing behaviors. Journal of Child and Family Studies, 23(2), 381–388. 10.1007/s10826-013-9788-0 [DOI] [Google Scholar]
  43. Murry VM, Gonzalez CM, Hanebutt RA, Bulgin D, Coates EE, Inniss-Thompson MN, Debreaux ML, Wilson WE, Abel D, & Cortez MB (2022). Longitudinal study of the cascading effects of racial discrimination on parenting and adjustment among African American youth. Attachment & Human Development, 24(3), 322–338. 10.1080/14616734.2021.1976926 [DOI] [PubMed] [Google Scholar]
  44. Neblett EW Jr., White RL, Ford KR, Philip CL, Nguyên HX, & Sellers RM (2008). Patterns of racial socialization and psychological adjustment: Can parental communications about race reduce the impact of racial discrimination? Journal of Research on Adolescence, 18(3), 477–515. 10.1111/j.1532-7795.2008.00568.x [DOI] [Google Scholar]
  45. Norton MI, & Sommers SR (2011). Whites see racism as a zero-sum game that they are now losing. Perspectives on Psychological Science, 6(3), 215–218. [DOI] [PubMed] [Google Scholar]
  46. O’Neil J, Wilson MN, Shaw DS, & Dishion TJ (2009). The relationship between parental efficacy and depressive symptoms in a diverse sample of low income mothers. Journal of Child and Family Studies, 18(6), 643–652. 10.1007/s10826-009-9265-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Paradies Y, Ben J, Denson N, Elias A, Priest N, Pieterse A, Gupta A, Kelaher M, & Gee G (2015). Racism as a determinant of health: A systematic review and meta-analysis. PLOS ONE, 10(9), e0138511. 10.1371/journal.pone.0138511 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Pascoe EA, & Smart Richman L (2009). Perceived discrimination and health: A meta-analytic review. Psychological Bulletin, 135(4), 531–554. 10.1037/a0016059 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Priest N, Paradies Y, Trenerry B, Truong M, Karlsen S, & Kelly Y (2013). A systematic review of studies examining the relationship between reported racism and health and wellbeing for children and young people. Social Science & Medicine, 95, 115–127. 10.1016/j.socscimed.2012.11.031 [DOI] [PubMed] [Google Scholar]
  50. Purdie-Vaughns V, Eibach R (2008). Intersectional invisibility: The distinctive advantages and disadvantages of multiple subordinate-group identities. Sex Roles, 59, 377–391. [Google Scholar]
  51. R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ [Google Scholar]
  52. Radloff LS (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401. 10.1177/014662167700100306 [DOI] [Google Scholar]
  53. Rickford R (2016). Black Lives Matter: Toward a modern practice of mass struggle. New Labor Forum, 25(1), 34–42. 10.1177/1095796015620171 [DOI] [Google Scholar]
  54. Riina EM, & McHale SM (2010). Pare’ts' experiences of discrimination and family relationship qualities: The role of gender. Family Relations, 59(3), 283–296. 10.1111/j.1741-3729.2010.00602.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Savell SM, Womack SR, Wilson MN, Shaw DS, & Dishion TJ (2018). Considering the role of early discrimination experiences and the parent-child relationship in the development of antisocial behaviors in adolescence. Infant Mental Health Journal, 40(1), 98–112. 10.1002/imhj.21752 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Schinka KC, VanDulmen MHM, Bossarte R, & Swahn M (2012). Association Between Loneliness and Suicidality During Middle Childhood and Adolescence: Longitudinal Effects and the Role of Demographic Characteristics. The Journal of Psychology, 146(1–2), 105–118. 10.1080/00223980.2011.584084 [DOI] [PubMed] [Google Scholar]
  57. Shanahan L, McHale SM, Osgood DW, & Crouter AC (2007). Conflict frequency with mothers and fathers from middle childhood to late adolescence: Within- and between-families comparisons. Developmental Psychology, 43(3), 539–550. 10.1037/0012-1649.43.3.539 [DOI] [PubMed] [Google Scholar]
  58. Silva-Rodrigues APC, Silva TBF, & Loureiro SR (2021). Positive parenting of mothers with depression and children’s behaviors: A systematic review. Trends in Psychology, 1–24. [Google Scholar]
  59. Sitnick SL, Shaw DS, Gill A, Dishion T, Winter C, Waller R, Gardner F, & Wilson M (2015). Parenting and the Family Check-Up: Changes in observed parent-child interaction following early childhood intervention. Journal of Clinical Child & Adolescent Psychology, 44(6), 970–984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Stern JA, Barbarin O, & Cassidy J (2022). Working toward anti-racist perspectives in attachment theory, research, and practice. Attachment & Human Development, 24(3), 392–422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Stewart EA, Baumer EP, Brunson RK, & Simons RL (2009). Neighborhood racial context and perceptions of police-based racial discrimination among Black youth. Criminology, 47(3), 847–887. 10.1111/j.1745-9125.2009.00159.x [DOI] [Google Scholar]
  62. Stock ML, Peterson LM, Molloy BK, & Lambert SF (2017). Past racial discrimination exacerbates the effects of racial exclusion on negative affect, perceived control, and alcohol-risk cognitions among Black young adults. Journal of Behavioral Medicine, 40(3), 377–391. 10.1007/s10865-016-9793-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Taylor RJ, Miller R, Mouzon D, Keith VM, & Chatters LM (2018). Everyday discrimination among african american men: The impact of criminal justice contact. Race and Justice, 8(2), 154–177. 10.1177/2153368716661849 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. U.S. Department of Health and Human Services. (2021, June 14). Structural racism and discrimination. National Institute of Minority Health and Health Disparities. Retrieved March 8, 2022, from https://www.nimhd.nih.gov/resources/understanding-health-disparities/srd.html [Google Scholar]
  65. Van Dyke ME, Vaccarino V, Quyyumi AA, & Lewis TT (2016). Socioeconomic status discrimination is associated with poor sleep in African-Americans, but not Whites. Social Science & Medicine, 153, 141–147. 10.1016/j.socscimed.2016.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Varner F, Hou Y, Ross L, Hurd NM, & Mattis J (2020). Dealing with discrimination: Parents’ and adolescents’ racial discrimination experiences and parenting in African American families. Cultural Diversity and Ethnic Minority Psychology, 26(2), 215–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Votruba-Drzal E. (2006). Economic disparities in middle childhood development: Does income matter? Developmental Psychology, 42(6), 1154–1167. 10.1037/0012-1649.42.6.1154 [DOI] [PubMed] [Google Scholar]
  68. Waller R, Gardner F, Dishion T, Sitnick SL, Shaw DS, Winter CE, & Wilson M (2015). Early parental positive behavior support and childhood adjustment: Addressing enduring questions with new methods. Social Development, 24(2), 304–322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Walters KL, Simoni JM, & Evans-Campbell T (2002). Substance use among American Indians and Alaska natives: Incorporating culture in an “indigenist” stress-coping paradigm. Public Health Reports, 117(Suppl 1), S104–S117. [PMC free article] [PubMed] [Google Scholar]
  70. Zirkel S, & Johnson T (2016). Mirror, mirror on the wall: A critical examination of the conceptualization of the study of Black racial identity in education. Educational Researcher, 45(5), 301–311. 10.3102/0013189X16656938 [DOI] [Google Scholar]

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