Next Article in Journal
Concrete Messages Increase Healthy Eating Preferences
Previous Article in Journal
Effect of Age on Job Satisfaction and Emotional Exhaustion of Primary School Teachers in Greece
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
EJIHPE
Volume 10
Issue 2
10.3390/ejihpe10020048
ejihpe-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

African Americans’ Diminished Returns of Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study

by
Shervin Assari
1,*,
Shanika Boyce
2,
Mohsen Bazargan
1,3 and
Cleopatra H. Caldwell
4,5
1
Department of Family Medicine, Charles R Drew University of Medicine and Science, Los Angeles, CA 90059, USA
2
Department of Pediatrics, Charles R Drew University of Medicine and Science, Los Angeles, CA 90059, USA
3
Department of Family Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
4
Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
5
Center for Research on Ethnicity, Culture, and Health, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Eur. J. Investig. Health Psychol. Educ. 2020, 10(2), 656-668; https://doi.org/10.3390/ejihpe10020048
Submission received: 23 May 2020 / Revised: 11 June 2020 / Accepted: 15 June 2020 / Published: 16 June 2020
Versions Notes

Abstract

:
To investigate racial and ethnic differences in the protective effects of parental education and marital status against adolescents’ depressed mood and suicidal attempts in the U.S. As proposed by the Marginalization-related Diminished Returns (MDRs), parental education generates fewer tangible outcomes for non-White compared to White families. Our existing knowledge is very limited regarding diminished returns of parental education and marital status on adolescents’ depressed mood and suicidal attempts. To compare racial groups for the effects of parental education and marital status on adolescents’ depressed mood and suicidal attempt. This cross-sectional study included 7076 non-Hispanic White or African American 8-11 years old adolescents from the Adolescent Brain Cognitive Development (ABCD) study. The independent variables were parental education and marital status. The main outcomes were depressed mood and suicidal attempts based on parents’ reports using the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS). Age and gender were the covariates. Race was the moderator. Logistic regression was used to analyze the ABCD data. Overall, parental education was associated with lower odds of depressed mood (OR = 0.81; 95% CI = 0.67–0.99; p = 0.037) and having married parents was associated with lower odds of suicidal attempts (OR = 0.50; 95% CI = 0.28–0.91; p = 0.022). In the pooled sample, we found interaction terms between race with parental education and marital status on the outcomes, suggesting that the protective effect of having married parents against depressed mood (OR = 1.54; 95% CI = 1.00–2.37; p = 0.048) and the protective effect of having married parents against suicidal attempts (OR = 6.62; 95% CI = 2.21–19.86; p = 0.001) are weaker for African Americans when compared to Whites. The protective effects of parent education and marital status against depressed mood and suicidal attempts are diminished for African American adolescents compared to White adolescents. There is a need for programs and interventions that equalize not only socioeconomic status (SES) but also the marginal returns of SES for racial minority groups. Such efforts require addressing structural and societal barriers that hinder African American families from translating their SES resources and human capital into tangible outcomes. There is a need for studies that can minimize MDRs for African American families, so that every individual and every family can benefit from their resources regardless of their skin color. To achieve such a goal, we need to help middle-class African American families secure tangible outcomes in the presence of SES resources.

1. Introduction

In addition to race and ethnicity, socioeconomic status (SES) factors—such as parental education [1] and family structure [2]—are among the major social determinants of early adolescent outcomes. Married and educated families have higher levels of parental involvement, monitoring, and positive parenting that all have positive consequences across several domains of adolescents’ development [3]. Some recent evidence, however, shows that when compared to Whites, African American adolescents show weaker effects of parental education [4] and family structure [5] on tangible adolescents outcomes, a pattern called Minorities’ Diminished Returns (MDRs) [6,7].
Parental education (i.e., highest education level of parents) [8,9,10,11] and family structure (i.e., parental marital status) [2] are two strong predictors of a wide range of positive developmental and health outcomes of adolescents across domains. Studies have shown that highly educated [8,9,10,11] and married [12] families are buffered against economic and non-economic adversities, stress, and risk.
Given the central role of parental education [8,9,10,11] and marital status [2] on adolescents outcomes, and because race/ethnicity has been historically linked to low SES, low education, and unmarried status [13], past research has traditionally attributed some of the racial and ethnic disparities in adolescent outcomes to the lower level of parental education as well as lower likelihood of being from a married family in racial minority families such as African Americans [9,14,15]. These studies have concluded that enhancing education levels of racial minorities and helping them build stable married families would be the main strategy for closing the racial and ethnic gap in the lives of adolescents [16].
As shown by the MDRs literature, however, the education level [8,17] and marital status [5] of parents may generate differential outcomes for diverse racial and ethnic groups. Due to social stratification, discrimination, and structural inequalities, racial and ethnic minorities do not have the same opportunities to navigate the existing resource systems and mobilize their own resources to secure tangible outcomes. As a result, high education level [7,17,18,19] and marital status [2] tend to generate fewer positive health outcomes for African American than for White families. As a result, African American adolescents show worse-than-expected health outcomes due to the weaker than expected effects of parental education and marital status relative to their counterparts [6,7,19,20].
Education level [6,7] and marital status [2] of self and parents also differentially protect African American and White families against mood disorders and suicide. Among adults, education level has smaller protective effects on the risks of depression [21] and suicide attempts [22] for African American people compared to White people. There is even some evidence linking high SES to poor mental health for African American adolescents [23] and adults [21], both in terms of depression [21] and suicidal ideation [22]. Some of the undesired mental health outcomes faced by high SES African American families are attributed to the fact that these families are located at a proximity to Whites, which increases the likelihood of experiencing interpersonal discrimination [24,25]. Needless to say, discrimination is a risk factor of undesired developmental and health outcomes [26,27,28], including depression [29] and suicide [30].
However, for multiple reasons, we need more studies on the MDRs of family resources on depression and suicide in African American adolescents. First of all, there is a dearth of evidence about race and ethnicity as moderating factors for the effects of parental resources on mood and suicide of adolescents. Second, most of the existing literature on MDRs is focused on other outcomes such as adolescents body mass index (BMI) [31], self-rated health (SRH) [20], attention deficit hyperactivity disorder (ADHD) [32], subjective health and well-being [17], impulse control [19], and school attachment [33], education level [34], school performance [1], aggression [4], and substance use [4]. From this literature, very few studies have focused on MDRs on depressed mood and suicidal attempts.

Aims

To extend the previous knowledge on the MDRs of parental education and marital status on African American adolescents’ mental health, we compared African American and White families for the effects of parental education and marital status on adolescents’ depressed mood and suicidal attempts. Our first hypothesis was that adolescents with high parental education and married parents would have lower odds of depressed mood and suicidal attempts. Our second hypothesis, however, was of weaker effects of parental education and marital status on adolescents’ depressed mood and suicidal attempts for African American and White families.

2. Materials and Methods

2.1. Design and Settings

This secondary analysis used a cross-sectional design and analyzed the existing wave 1 data of the Adolescent Brain Cognitive Development (ABCD) study [35,36,37,38,39]. ABCD is the largest national, state-of-the-art brain imaging study of adolescents’ brain development in the history of United States. The advantages of the ABCD study include (1) the large sample size, (2) the national sample, (3) the large sample of African Americans, (4) publicly available data, (5) considerable socioeconomic variables, and (6) vast behavioral measures [35,36,37,38,39]. For more detailed information about ABCD’s purpose, methodology, and measurement, please see the ABCD methods papers [35,40].

2.2. Sampling

The ABCD sample were selected across 21 sites located within multiple cities in the United States. This sample was recruited through schools [41]. Although the study sampling design had major departures from a multi-stage probability sample design, the ABCD study is believed to generate a nationally representative sample of adolescents. The sample was recruited by a nationally distributed set of 21 study sites. These sites then used a probability sampling of schools within their defined catchment areas and recruitment of eligible children from sample school. The mentioned departure from the traditional probability sampling of U.S. children was selection of the participating neuroimaging sites. They were chosen non-randomly, based on the quality of their application to the NIH. Still, the 21 ABCD study sites are dispersed (nationally), and are believed to generate a nationally representative sample with high diversity [41].

2.3. Analytical Sample

For this analysis, 7076 8–11 years old non-Hispanic White or African American adolescents who had data on K-SADS with past depressed mood were included. From this number, only 3271 adolescents had data on suicidal attempts, so our sample size was only 3271 for our analysis of suicidal attempts. Our descriptive statistics are for the 7076 individuals who entered our analysis. Our study did not include people from the Hispanic ethnic background.

2.4. Study Variables

The study variables included data on sociodemographic variables as well as previous history of depressed mood and suicidal attempts.

2.4.1. Outcome

Depressed mood. Depressed mood, the first main outcome in this study, was measured using the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) [42]. Parents were interviewed and reported the symptoms. Depressed mood in the past, regardless of its timing, was the outcome. This variable was treated as a categorical/dichotomous outcome, with 0 reflecting no and 1 reflecting depressed mood.
Suicidal attempts. Suicidal attempts, the second main outcome in this study, were also measured using the K-SADS [42]. Parents were interviewed and reported the symptoms. Any suicidal attempts in the past, regardless of their timing, were the outcome. This variable was treated as a categorical/dichotomous outcome with 0 for absence and 1 for presence of ay suicidal attempts.

2.4.2. Moderator

Race. In the ABCD study, race, a self-identified variable, was a dichotomous variable (African Americans = 1, Whites = 0). The moderator was defined based on Baron and Kenny, and was a variable that changed the magnitude of the direction of an association of interest [43,44].

2.4.3. Independent Variable

Parental Education. Parents were asked, “What is the highest grade or level of school you have completed or the highest degree you have received?” This variable was treated in the current study as individuals with high school graduation, General Educational Development (GED) or equivalent Diploma as 1 and any education level less than that as 0. Thus this 0/1 variable was coded 0 for low and 1 for high parental education.
Parental Marital Status. Parental marital status was self-reported by the parents. This variable was a dichotomous variable coded as married = 1 and other = 0.

2.4.4. Confounders

Age and Gender. Parents reported the age of their adolescent children. Age was a continuous measure in years. Gender was a dichotomous variable: males = 1 and females = 0.

2.5. Data Analysis

For our data analyses, we applied SPSS. Descriptive data were summarized using means, standard deviations (SD), frequency, and relative frequency (%). To perform bivariate analyses, we used independent sample t-test and Chi-square. To perform our multivariable analyses, we performed four logistic regression models for each outcome. Logistic regression is commonly used for biomedical as well as clinical and sociological, public health, and social science research [45]. The first two models were estimated in the overall sample that included White and African Americans. These models controlled for gender as well as age. Model 1 (Main Effect Model) was performed with race, parental education, marital status, and covariates. Model 2 (Interaction Model) included the main effects of race, parental education, marital status, covariates, as well as two multiplicative/interaction terms parental education and marital status and race. Model 3 was performed in Whites and Model 4 was performed in African Americans. In all these models, either depressed mood or suicidal attempts was the outcome. Odds Ratio (OR), S.E., 95% CI, and p-value were reported for each model. A p-value equal to or smaller than 0.05 was considered significant.

2.6. Ethical Aspect

The mother study, the ABCD study, received Institutional Review Board (IRB) approval by the University of California, San Diego (UCSD). All adolescent participants provided assent. Their parents provided consent [40]. We received the ABCD data through an agreement between Charles R. Drew University and NIH/NDA. As the ABCD data that we received were fully de-identified, our study was considered as non-human subject research, thus was exempted from a full review.

3. Results

3.1. Descriptives

This analysis included a total sample of 7076 pre-adolescents. All participants were between 8 and 11 years old, and were either African American (n = 1929; 27.3%) or White (n = 5147; 72.7%). Table 1 presents descriptive statistics of the pooled sample (Table 1).

3.2. Descriptives

Table 1 also compares Whites and African Americans for the study variables. As shown by this table, Whites and African Americans did not differ in age or gender but differed in parental education and marital status of the family, as well as depressed mood and suicidal attempts. Compared to Whites, African Americans had lower parental education and were less likely to be from married families; however, they were more likely to have depressed mood and suicidal attempts compared to Whites.

3.3. Multivariate Analysis in the Overall Sample

Table 2 shows the results of our logistic regressions in the overall sample. We reported the results of two models for each outcome. Model 1 (Main Effect Model) revealed a protective effect of parental education on experiencing depressed mood, but not for having married parents (OR = 0.81; 95% CI = 0.67-0.99; p = 0.037). It also showed that there is a protective effect of having married parents against suicidal attempts, but not for education (OR = 0.50; 95% CI = 0.28-0.91; p = 0.022).
Model 2 (Interaction Model) showed interaction terms between race with parental education and marital status on the outcomes, suggesting that the protective effects of having married parents against depressed mood (OR = 1.54; 95% CI = 1.00-2.37; p = 0.048) is weaker for African American adolescents relative to their White counterparts. Model 2 also showed an interaction term between race with parental education on suicidal attempts (OR = 6.62; 95% CI = 2.21-19.86; p =0.001), meaning that the protective effect of having married parents is weaker for African American adolescents relative to their White counterparts (Table 2).

3.4. Multivariate Analysis by Race

Table 3 shows the results of our logistic regression models specific to racial groups. Again, similar models were performed for each outcome. Model 3 (Whites) showed the protective effects of parental education on depressed mood (OR = 0.77, 95% CI = 0.61-0.96; p = 0.021) and suicidal attempts (OR = 0.29; 95% CI = 0.14-0.61, p = 0.001) in Whites; however, the same pattern was absent for both depressed mood (OR = 0.92, 95% CI = 0.63-1.34; p = 0.678) and suicidal attempts (OR = 1.86; 95% CI = 0.83-4.16, p = 0.132) in Model 4 for African Americans (Table 3).

4. Discussion

Overall, there were protective effects of high parental education and having married parents against depressed mood and suicidal attempts in the U.S. These protective effects, however, were dependent upon race. Higher parental education and marital status were linked to lower odds of adolescents’ depressed mood and suicidal attempts for White but not African American adolescents. That means African American adolescents have depressed mood and suicidal attempts across all levels of parental education and marital status.
Regarding our first finding, research has previously shown that adolescents from highly educated families do drastically better regarding depressed mood and suicidal attempts. Adolescents from high SES families have a lower risk of depression [23], anxiety [5], aggression [4], and substance use [4]. Family SES is a fundamental cause of health and illness [46,47]. Similarly, adolescents’ outcomes show a social gradient follows the availability of SES resources [48,49,50]. High parental education may better generate adolescents’ outcomes. This study showed lower depressed mood and suicidal attempts in adolescents with parents who have high levels of education. The universal nature of the protection of parental education is in line with the root cause, fundamental cause theory. Given that early outcomes in adolescents are the drivers of future outcomes during adulthood [51], the diminished effects of parental education on adolescents’ mood and suicide should be taken seriously.
Our second finding was also a successful replication of some previous work on MDRs. In a study of a clinical sample, high education reduced the suicidal risk of White but not African American adults [52]. In two other studies, high education and income showed boosting effects on happiness, subjective mental health, and positive emotions for White but not African American adolescents [53]. In multiple other studies, SES was reported to be a risk factor, not a protective factor, for depression in African Americans—particularly boys and men [23,29]. Hudson has published several papers on this pattern [54,55,56,57,58].
There is a growing literature on the diminished returns of parental education and parental marital status on adolescents’ outcomes. This literature shows that African American individuals and families show weaker effects of family SES on health outcomes compared to their White counterparts [18,59]. MDRs within families contribute to the trans-generational effects of inequalities from one generation to another. MDRs are robust and hold for various SES resources, age groups, outcomes, and marginalization types [6,7].
MDRs have also been reported for other domains. In a recent study, MDRs of education was found for all subdomains of the Child Behavior Checklist (CBCL) [60]. African American adolescents receive smaller academic benefits from their parental education than their white counterparts [61,62]. In another study, MDRs were found for inhibitory control [63], impulsivity [19], aggression [4], school performance [64], depression [29], and anxiety [5].
Several mechanisms may explain why SES indicators such as parental education and marital status have weaker protective effects for African American families compared to Whites [18,65]. One mechanism is labor market discrimination, that influences highly educated African American parents. Due to the existing labor market dual system, highly educated African American parents work in worse jobs and conditions compared to Whites [18,65,66]. In the U.S., racism influences all U.S. institutions, and the labor market is not an exception to this rule. Thus, similarly educated African American families make less income and report higher levels of stress than White families [8]. Upward social mobility is also more stressful and taxing for African American individuals than White individuals [6,7]. Historically, African Americans have had less political power. Thus, they have not been able to influence laws and policies [67,68,69]. In the absence of a strong political presence from minority groups, U.S. policies have enhanced the benefits of the dominant group, Whites. In these processes, African American communities are left poor, so they struggle with many societal barriers on a daily basis [6,7]. For their upward social mobility, they face an uphill battle, and use effortful coping, which is predictive of anxiety and depression [57,70,71,72]. This specific type of high-cost psychologic coping is called John Henryism [70,73,74,75,76,77]. Hudson, James, and others have described these processes and their implications for health in detail [57,74,75,78,79].
At high levels of educational attainment, African American families and parents face a disproportionately higher level of stress in their daily lives. Such an increased exposure and vulnerability to general, economic, and race-related stress may reduce how families can absorb the health effects of their education [65]. Highly educated African American families may experience more, not less, discrimination on a daily basis [24,25,55,57,58,80]. Highly educated African Americans may show heightened sensitivity and vulnerability to the negative consequences of interpersonal discrimination [53].
Racial and ethnic gaps in the marginal returns of parental education (i.e., MDRs) may be due to worse education quality in urban and public schools where most African American communities live and receive their education. African Americans and Whites attend schools that are separate and unequal in terms of quality and resources. On top of this racial inequality in access to the opportunity structure [18,81], African American adolescents experience high levels of discrimination from their teachers [64,82]. Thus, African Americans receive minimal chances to effectively mobilize their education and secure outcomes [6,7].
Environmental and contextual factors, such as residential segregation, also explain the MDRs. Due to residential and school segregation, students from high SES families may still be sent to poor schools. Such schools have less funding, have high-risk peers, and a high level of social and environmental risk [83]. In contrast to high SES African American families, high SES White families send their adolescents to predominantly White schools that have more funding, higher budgets, and higher-quality teachers [84,85]. Thus, not only SES, but also race, affects school options for adolescents from high SES African American families, unless a high SES family has left the community and moved to a White neighborhood [62,83].
These results are important because they show that, as documented by the MDRs framework, even the very same SES resources generate unequal outcomes, with racial minority groups being at a relative disadvantage when compared to the socially privileged groups such as Whites [6,7]. While this study exclusively documented the MDRs of parental education and marital status, MDRs patterns seem to be independent of SES resource, outcome, and even marginalization type [6,7].
The study presented here failed to explore the contextual and societal factors and processes that may cause intergenerational MDRs for racial and ethnic minority families. MDRs have been in part attributed to institutional, structural, and multilevel racism [6,86]. African American individuals are likely to stay in poor neighborhoods despite high SES. As a result, adolescents from African American families are more likely to remain at risk of environmental exposures. Similarly, adolescents from highly educated African American families may remain at risk of interacting with high-risk peers who are involved in behavioral problems [4,87].

5. Limitations

This study had a few methodological drawbacks and limitations. One limitation of the current study included a cross-sectional design that limits any inference of causal associations between race, parental education, marital status, and adolescents’ depression and suicide. Similar to most of the rest of the MDRs literature, this study focused exclusively on African American and White families. We still need more studies on other sub-groups of the society, which include various marginalizing social identities other than race and ethnicity. Not only race and ethnicity, but also many other marginalizing social identities—such as immigration—may reduce the gains that are expected to follow parental education and marital status [59,88,89,90]. Similarly, this study only investigated the MDRs of parental education and family structure. This analysis has only few independent variables. Although this is the limitation of the data and not of the analysis itself, it would be reasonable to expect that the results would be different if more explanatory variables were included. For example, the data do not include information on income and occupational status of parents, two important indicators of SES. Research is still needed on the MDRs of other SES indicators such as wealth, income, and parental employment. MDRs may also be relevant to non-economic resources such as psychological assets [91,92]. Future research should also test if neighborhood income or racial composition can explain the MDRs of parental education and family structure for African American adolescents and families. It is still unknown which contextual factor mediates (explain) or moderate (undo) the observed MDRs of parental education and marital status on African America adolescents’ depression and suicide.

6. Conclusions

Compared to Whites, African American adolescents remain at high risk of depressed mood and suicidal attempts, despite high parental education and having married parents. The benefits of parental education and family structure on adolescents’ depressed mood and suicidal attempts are not equally received by racial groups. Societal and structural factors such as segregation, racism, social stratification, and pervasive discrimination limit African American families’ abilities to leverage their resources, including education. Clinicians, policymakers, and researchers should all be aware that parental education and marital status consistently generate less measurable desired outcomes for privileged groups in comparison to disfranchised groups.

Author Contributions

Study conceptualization, S.A.; Data curation, S.A.; Formal analysis, S.A.; Funding acquisition, M.B.; Writing—original draft, S.A.; Writing—review and editing, S.A., S.B., C.H.C. and M.B. All authors have read and agreed to the published version of the manuscript.

Funding

Shervin Assari is supported by the National Institutes of Health (NIH) grants; 5S21MD000103, D084526-03: CA201415 02, DA035811-05, U54MD008149, U54MD007598, and U54CA229974.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Assari, S. Parental Educational Attainment and Academic Performance of American College Students; Blacks’ Diminished Returns. J. Health Econ. Dev. 2019, 1, 21–31. [Google Scholar]
  2. Langton, C.E.; Berger, L.M. Family Structure and Adolescent Physical Health, Behavior, and Emotional Well-Being. Soc. Serv. Rev. 2011, 85, 323–357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Fan, X.; Chen, M. Parental involvement and students’ academic achievement: A meta-analysis. Educ. Psychol. Rev. 2001, 13, 1–22. [Google Scholar] [CrossRef]
  4. Assari, S.; Caldwell, C.H.; Bazargan, M. Association between Parental Educational Attainment and Youth Outcomes and Role of Race/Ethnicity. JAMA Netw. Open 2019, 2, e1916018. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Assari, S.; Caldwell, C.H.; Zimmerman, M.A. Family Structure and Subsequent Anxiety Symptoms; Minorities’ Diminished Return. Brain Sci. 2018, 8, 97. [Google Scholar] [CrossRef] [Green Version]
  6. Assari, S. Health Disparities due to Diminished Return among Black Americans: Public Policy Solutions. Soc. Issues Policy Rev. 2018, 12, 112–145. [Google Scholar] [CrossRef]
  7. Assari, S. Unequal Gain of Equal Resources across Racial Groups. Int. J. Health Policy Manag. 2018, 7, 1–9. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Assari, S. Parental Education Better Helps White than Black Families Escape Poverty: National Survey of Children’s Health. Economies 2018, 6, 30. [Google Scholar] [CrossRef] [Green Version]
  9. Cook, W.K.; Tseng, W. Associations of Asian Ethnicity and Parental Education with Overweight in Asian American Children and Adolescents: An Analysis of 2011-2016 National Health and Nutrition Examination Surveys. Matern. Child Health J. 2019, 23, 504–511. [Google Scholar] [CrossRef]
  10. Iqbal, M.; Amirsalari, S.; Radfar, S.; Haidari, M.R. Effects of parental gender and level of education on the quality of life and general health of pediatric patients with epilepsy: An outpatient cross-sectional survey. Epilepsy Behav. 2016, 60, 118–123. [Google Scholar] [CrossRef]
  11. Karlsson, O.; De Neve, J.W.; Subramanian, S.V. Weakening association of parental education: Analysis of child health outcomes in 43 low- and middle-income countries. Int. J. Epidemiol. 2018. [Google Scholar] [CrossRef] [PubMed]
  12. Yeung, W.J.; Linver, M.R.; Brooks–Gunn, J. How money matters for young children’s development: Parental investment and family processes. Child Dev. 2002, 73, 1861–1879. [Google Scholar] [CrossRef] [PubMed]
  13. Kaufman, J.S.; Cooper, R.S.; McGee, D.L. Socioeconomic status and health in blacks and whites: The problem of residual confounding and the resiliency of race. Epidemiology 1997, 8, 621–628. [Google Scholar] [CrossRef] [PubMed]
  14. Bachman, J.G.; O’Malley, P.M.; Johnston, L.D.; Schulenberg, J.E.; Wallace, J.M. Racial/ethnic differences in the relationship between parental education and substance use among U.S. 8th-, 10th-, and 12th-grade students: Findings from the Monitoring the Future project. J. Stud. Alcohol Drugs 2011, 72, 279–285. [Google Scholar] [CrossRef] [PubMed]
  15. Rodenburg, G.; Oenema, A.; Kremers, S.P.; van de Mheen, D. Parental and child fruit consumption in the context of general parenting, parental education and ethnic background. Appetite 2012, 58, 364–372. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Bowden, M.; Bartkowski, J.; Xu, X.; Lewis Jr, R. Parental occupation and the gender math gap: Examining the social reproduction of academic advantage among elementary and middle school students. Soc. Sci. 2017, 7, 6. [Google Scholar] [CrossRef] [Green Version]
  17. Assari, S. Parental Educational Attainment and Mental Well-Being of College Students; Diminished Returns of Blacks. Brain Sci. 2018, 8, 193. [Google Scholar] [CrossRef] [Green Version]
  18. Assari, S. Blacks’ Diminished Return of Education Attainment on Subjective Health; Mediating Effect of Income. Brain Sci. 2018, 8, 176. [Google Scholar] [CrossRef] [Green Version]
  19. Assari, S.; Caldwell, C.H.; Mincy, R. Family Socioeconomic Status at Birth and Youth Impulsivity at Age 15; Blacks’ Diminished Return. Children 2018, 5, 58. [Google Scholar] [CrossRef] [Green Version]
  20. Assari, S.; Caldwell, C.H.; Mincy, R.B. Maternal Educational Attainment at Birth Promotes Future Self-Rated Health of White but Not Black Youth: A 15-Year Cohort of a National Sample. J. Clin. Med. 2018, 7, 93. [Google Scholar] [CrossRef] [Green Version]
  21. Assari, S. Separate and Combined Effects of Anxiety, Depression and Problem Drinking on Subjective Health among Black, Hispanic and Non-Hispanic White Men. Int. J. Prev. Med. 2014, 5, 269–279. [Google Scholar] [PubMed]
  22. Assari, S. Ethnic and Gender Differences in Additive Effects of Socio-economics, Psychiatric Disorders, and Subjective Religiosity on Suicidal Ideation among Blacks. Int. J. Prev. Med. 2015, 6, 53. [Google Scholar] [CrossRef] [PubMed]
  23. Assari, S.; Caldwell, C.H. High Risk of Depression in High-Income African American Boys. J. Racial Ethn. Health Disparities 2018, 5, 808–819. [Google Scholar] [CrossRef] [PubMed]
  24. Assari, S. Does School Racial Composition Explain Why High Income Black Youth Perceive More Discrimination? A Gender Analysis. Brain Sci. 2018, 8, 140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Assari, S.; Moghani Lankarani, M. Workplace Racial Composition Explains High Perceived Discrimination of High Socioeconomic Status African American Men. Brain Sci. 2018, 8, 139. [Google Scholar] [CrossRef] [Green Version]
  26. Benner, A.D.; Wang, Y.; Shen, Y.; Boyle, A.E.; Polk, R.; Cheng, Y.P. Racial/ethnic discrimination and well-being during adolescence: A meta-analytic review. Am. Psychol. 2018, 73, 855–883. [Google Scholar] [CrossRef]
  27. Lockwood, K.G.; Marsland, A.L.; Matthews, K.A.; Gianaros, P.J. Perceived discrimination and cardiovascular health disparities: A multisystem review and health neuroscience perspective. Ann. N. Y. Acad. Sci. 2018, 1428, 170–207. [Google Scholar] [CrossRef]
  28. Vines, A.I.; Ward, J.B.; Cordoba, E.; Black, K.Z. Perceived Racial/Ethnic Discrimination and Mental Health: A Review and Future Directions for Social Epidemiology. Curr. Epidemiol. Rep. 2017, 4, 156–165. [Google Scholar] [CrossRef]
  29. Assari, S.; Gibbons, F.X.; Simons, R. Depression among Black Youth; Interaction of Class and Place. Brain Sci. 2018, 8, 108. [Google Scholar] [CrossRef] [Green Version]
  30. Assari, S.; Moghani Lankarani, M.; Caldwell, C.H. Discrimination Increases Suicidal Ideation in Black Adolescents Regardless of Ethnicity and Gender. Behav. Sci. 2017, 7, 75. [Google Scholar] [CrossRef] [Green Version]
  31. Assari, S.; Thomas, A.; Caldwell, C.H.; Mincy, R.B. Blacks’ Diminished Health Return of Family Structure and Socioeconomic Status; 15 Years of Follow-up of a National Urban Sample of Youth. J. Urban Health 2018, 95, 21–35. [Google Scholar] [CrossRef] [PubMed]
  32. Assari, S.; Caldwell, C.H. Family Income at Birth and Risk of Attention Deficit Hyperactivity Disorder at Age 15: Racial Differences. Children 2019, 6, 10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Assari, S. Family Socioeconomic Position at Birth and School Bonding at Age 15; Blacks’ Diminished Returns. Behav. Sci. 2019, 9, 26. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Assari, S. Parental Education Attainment and Educational Upward Mobility; Role of Race and Gender. Behav. Sci. 2018, 8, 107. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Alcohol Research: Current Reviews Editorial, S. NIH’s Adolescent Brain Cognitive Development (ABCD) Study. Alcohol Res. 2018, 39, 97. [Google Scholar]
  36. Casey, B.J.; Cannonier, T.; Conley, M.I.; Cohen, A.O.; Barch, D.M.; Heitzeg, M.M.; Soules, M.E.; Teslovich, T.; Dellarco, D.V.; Garavan, H.; et al. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites. Dev. Cogn. Neurosci. 2018, 32, 43–54. [Google Scholar] [CrossRef]
  37. Karcher, N.R.; O’Brien, K.J.; Kandala, S.; Barch, D.M. Resting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study. Biol. Psychiatry 2019, 86, 7–15. [Google Scholar] [CrossRef]
  38. Lisdahl, K.M.; Sher, K.J.; Conway, K.P.; Gonzalez, R.; Feldstein Ewing, S.W.; Nixon, S.J.; Tapert, S.; Bartsch, H.; Goldstein, R.Z.; Heitzeg, M. Adolescent brain cognitive development (ABCD) study: Overview of substance use assessment methods. Dev. Cogn. Neurosci. 2018, 32, 80–96. [Google Scholar] [CrossRef]
  39. Luciana, M.; Bjork, J.M.; Nagel, B.J.; Barch, D.M.; Gonzalez, R.; Nixon, S.J.; Banich, M.T. Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery. Dev. Cogn. Neurosci. 2018, 32, 67–79. [Google Scholar] [CrossRef]
  40. Auchter, A.M.; Hernandez Mejia, M.; Heyser, C.J.; Shilling, P.D.; Jernigan, T.L.; Brown, S.A.; Tapert, S.F.; Dowling, G.J. A description of the ABCD organizational structure and communication framework. Dev. Cogn. Neurosci. 2018, 32, 8–15. [Google Scholar] [CrossRef]
  41. Garavan, H.; Bartsch, H.; Conway, K.; Decastro, A.; Goldstein, R.Z.; Heeringa, S.; Jernigan, T.; Potter, A.; Thompson, W.; Zahs, D. Recruiting the ABCD sample: Design considerations and procedures. Dev. Cogn. Neurosci. 2018, 32, 16–22. [Google Scholar] [CrossRef]
  42. Hamilton, J.; Gillham, J. The K-SADS and diagnosis of major depressive disorder. J. Am. Acad. Child Adolesc. Psychiatry 1999, 38, 1065–1069. [Google Scholar] [CrossRef] [PubMed]
  43. Chmura Kraemer, H.; Kiernan, M.; Essex, M.; Kupfer, D.J. How and why criteria defining moderators and mediators differ between the Baron & Kenny and MacArthur approaches. Health Psychol. 2008, 27, S101. [Google Scholar]
  44. Baron, R.M.; Kenny, D.A. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personal. Soc. Psychol. 1986, 51, 1173. [Google Scholar] [CrossRef]
  45. Morgan, S.P.; Teachman, J.D. Logistic regression: Description, examples, and comparisons. J. Marriage Fam. 1988, 50, 929–936. [Google Scholar] [CrossRef]
  46. Link, B.G.; Phelan, J. Social conditions as fundamental causes of disease. J. Health Soc. Behav. 1995, 80–94. [Google Scholar] [CrossRef] [Green Version]
  47. Phelan, J.C.; Link, B.G.; Diez-Roux, A.; Kawachi, I.; Levin, B. “Fundamental causes” of social inequalities in mortality: A test of the theory. J. Health Soc. Behav. 2004, 45, 265–285. [Google Scholar] [CrossRef] [PubMed]
  48. Marmot, M. Economic and social determinants of disease. Bull. World Health Organ. 2001, 79, 988–989. [Google Scholar] [PubMed]
  49. Marmot, M. The Status Syndrome: How Social Standing Affects Our Health and Longevity; Bloomsbury Press: London, UK, 2004. [Google Scholar]
  50. Marmot, M. Social determinants of health inequalities. Lancet 2005, 365, 1099–1104. [Google Scholar] [CrossRef]
  51. Kern, M.L.; Friedman, H.S. Early educational milestones as predictors of lifelong academic achievement, midlife adjustment, and longevity. J. Appl. Dev. Psychol. 2008, 30, 419–430. [Google Scholar] [CrossRef] [Green Version]
  52. Assari, S.; Schatten, H.T.; Arias, S.A.; Miller, I.W.; Camargo, C.A.; Boudreaux, E.D. Higher Educational Attainment is Associated with Lower Risk of a Future Suicide Attempt Among Non-Hispanic Whites but not Non-Hispanic Blacks. J. Racial Ethn. Health Disparities 2019. [Google Scholar] [CrossRef] [PubMed]
  53. Assari, S.; Preiser, B.; Lankarani, M.M.; Caldwell, C.H. Subjective Socioeconomic Status Moderates the Association between Discrimination and Depression in African American Youth. Brain Sci. 2018, 8, 71. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Hudson, D.; Sacks, T.; Irani, K.; Asher, A. The Price of the Ticket: Health Costs of Upward Mobility among African Americans. Int. J. Environ. Res. Public Health 2020, 17, 1179. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Hudson, D.L.; Bullard, K.M.; Neighbors, H.W.; Geronimus, A.T.; Yang, J.; Jackson, J.S. Are benefits conferred with greater socioeconomic position undermined by racial discrimination among African American men? J. Men’s Health 2012, 9, 127–136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Hudson, D.L.; Neighbors, H.W.; Geronimus, A.T.; Jackson, J.S. The relationship between socioeconomic position and depression among a US nationally representative sample of African Americans. Soc. Psychiatry Psychiatr. Epidemiol. 2012, 47, 373–381. [Google Scholar] [CrossRef] [Green Version]
  57. Hudson, D.L.; Neighbors, H.W.; Geronimus, A.T.; Jackson, J.S. Racial Discrimination, John Henryism, and Depression among African Americans. J. Black Psychol. 2016, 42, 221–243. [Google Scholar] [CrossRef]
  58. Hudson, D.L.; Puterman, E.; Bibbins-Domingo, K.; Matthews, K.A.; Adler, N.E. Race, life course socioeconomic position, racial discrimination, depressive symptoms and self-rated health. Soc. Sci. Med. 2013, 97, 7–14. [Google Scholar] [CrossRef]
  59. Assari, S. Education Attainment and Obesity Differential Returns Based on Sexual Orientation. Behav. Sci. 2019, 9, 16. [Google Scholar] [CrossRef] [Green Version]
  60. Assari, S.; Boyce, S.; Caldwell, C.H.; Bazargan, M. Minorities’ Diminished Returns of Parental Educational Attainment on Adolescents’ Social, Emotional, and Behavioral Problems. Children 2020, 7, 49. [Google Scholar] [CrossRef]
  61. Bumpus, J.P.; Umeh, Z.; Harris, A.L. Social Class and Educational Attainment: Do Blacks Benefit Less from Increases in Parents’ Social Class Status? Sociol. Race Ethn. 2020. [Google Scholar] [CrossRef]
  62. Assari, S.; Boyce, S.; Caldwell, C.H.; Bazargan, M. Parental Educational Attainment and Black-White Adolescents’ Achievement Gap: Blacks’ Diminished Returns. Open J. Soc. Sci. 2020, 8, 282–297. [Google Scholar] [CrossRef] [Green Version]
  63. Assari, S. Parental Education on Youth Inhibitory Control in the Adolescent Brain Cognitive Development (ABCD) Study: Blacks’ Diminished Returns. Brain Sci. 2020, 10, 312. [Google Scholar] [CrossRef] [PubMed]
  64. Assari, S.; Caldwell, C.H. Teacher Discrimination Reduces School Performance of African American Youth: Role of Gender. Brain Sci. 2018, 8, 183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Assari, S.; Bazargan, M. Unequal Associations between Educational Attainment and Occupational Stress across Racial and Ethnic Groups. Int. J. Environ. Res. Public Health 2019, 16, 3539. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Assari, S.; Bazargan, M. Unequal Effects of Educational Attainment on Workplace Exposure to Second-Hand Smoke by Race and Ethnicity; Minorities’ Diminished Returns in the National Health Interview Survey (NHIS). J. Med. Res. Innov. 2019, 3, e000179. [Google Scholar] [CrossRef] [PubMed]
  67. Rodriguez, J.M.; Geronimus, A.T.; Bound, J.; Dorling, D. Black lives matter: Differential mortality and the racial composition of the U.S. electorate, 1970–2004. Soc. Sci. Med. 2015, 136–137, 193–199. [Google Scholar] [CrossRef] [Green Version]
  68. Rodriguez, J.M. Health disparities, politics, and the maintenance of the status quo: A new theory of inequality. Soc. Sci. Med. 2018, 200, 36–43. [Google Scholar] [CrossRef]
  69. Rodriguez, J.M. The politics hypothesis and racial disparities in infants’ health in the United States. SSM Popul. Health 2019, 8, 100440. [Google Scholar] [CrossRef]
  70. Logan, J.G.; Barksdale, D.J.; James, S.A.; Chien, L.C. John Henryism Active Coping, Acculturation, and Psychological Health in Korean Immigrants. J. Transcult. Nurs. 2017, 28, 168–178. [Google Scholar] [CrossRef] [Green Version]
  71. Matthews, D.D.; Hammond, W.P.; Cole-Lewis, Y.; Nuru-Jeter, A.; Melvin, T. Racial Discrimination and Depressive Symptoms Among African-American Men: The Mediating and Moderating Roles of Masculine Self-Reliance and John Henryism. Psychol. Men Masc. 2013, 14, 35–46. [Google Scholar] [CrossRef]
  72. Merritt, M.M.; McCallum, T.J.; Fritsch, T. How much striving is too much? John Henryism active coping predicts worse daily cortisol responses for African American but not white female dementia family caregivers. Am. J. Geriatr. Psychiatry 2011, 19, 451–460. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. James, S.A. John Henryism and the health of African-Americans. Cult. Med. Psychiatry 1994, 18, 163–182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. James, S.A.; Hartnett, S.A.; Kalsbeek, W.D. John Henryism and blood pressure differences among black men. J. Behav. Med. 1983, 6, 259–278. [Google Scholar] [CrossRef]
  75. James, S.A.; Keenan, N.L.; Strogatz, D.S.; Browning, S.R.; Garrett, J.M. Socioeconomic status, John Henryism, and blood pressure in black adults. The Pitt County Study. Am. J. Epidemiol. 1992, 135, 59–67. [Google Scholar] [CrossRef] [PubMed]
  76. James, S.A.; LaCroix, A.Z.; Kleinbaum, D.G.; Strogatz, D.S. John Henryism and blood pressure differences among black men. II. The role of occupational stressors. J. Behav. Med. 1984, 7, 259–275. [Google Scholar] [CrossRef] [PubMed]
  77. James, S.A.; Strogatz, D.S.; Wing, S.B.; Ramsey, D.L. Socioeconomic status, John Henryism, and hypertension in blacks and whites. Am. J. Epidemiol. 1987, 126, 664–673. [Google Scholar] [CrossRef]
  78. Adams, J.H.; Aubert, R.E.; Clark, V.R. The relationship among John Henryism, hostility, perceived stress, social support, and blood pressure in African-American college students. Ethn. Dis. 1999, 9, 359–368. [Google Scholar]
  79. Angner, E.; Hullett, S.; Allison, J. “I’ll Die with the Hammer in My Hand”: John Henryism as a Predictor of Happiness. J. Econ. Psychol. 2011, 32, 357–366. [Google Scholar] [CrossRef] [Green Version]
  80. Bailey, Z.D.; Krieger, N.; Agenor, M.; Graves, J.; Linos, N.; Bassett, M.T. Structural racism and health inequities in the USA: Evidence and interventions. Lancet 2017, 389, 1453–1463. [Google Scholar] [CrossRef]
  81. Assari, S.; Lapeyrouse, L.M.; Neighbors, H.W. Income and Self-Rated Mental Health: Diminished Returns for High Income Black Americans. Behav. Sci. 2018, 8, 50. [Google Scholar] [CrossRef] [Green Version]
  82. Chavous, T.M.; Rivas-Drake, D.; Smalls, C.; Griffin, T.; Cogburn, C. Gender matters, too: The influences of school racial discrimination and racial identity on academic engagement outcomes among African American adolescents. Dev. Psychol. 2008, 44, 637. [Google Scholar] [CrossRef] [PubMed]
  83. Boyce, S.; Bazargan, M.; Caldwell, C.H.; Zimmerman, M.; Assari, S. Protective Effects of Parental Educational Attainment on School Social Environmental Risk: Blacks’ Diminished Returns in Urban Public Schools. Children 2020, 7, 44. [Google Scholar] [CrossRef] [PubMed]
  84. Boozer, M.A.; Krueger, A.B.; Wolkon, S. Race and School Quality since Brown vs. Board of Education; National Bureau of Economic Research: Cambridge, MA, USA, 1992; pp. 898–2937. [Google Scholar]
  85. Jud, G.D.; Walker, J.L. Discrimination by race and class and the impact of school quality. Soc. Sci. Q. 1977, 57, 731–749. [Google Scholar]
  86. Assari, S. Family Socioeconomic Status and Exposure to Childhood Trauma: Racial Differences. Children 2020, 7, 57. [Google Scholar] [CrossRef]
  87. Assari, S.; Boyce, S.; Bazargan, M.; Caldwell, C.H. Mathematical Performance of American Youth: Diminished Returns of Educational Attainment of Asian-American Parents. Educ. Sci. 2020, 10, 32. [Google Scholar] [CrossRef] [Green Version]
  88. Assari, S.; Bazargan, M. Educational Attainment and Subjective Health and Well-Being; Diminished Returns of Lesbian, Gay, and Bisexual Individuals. Behav. Sci. 2019, 9, 90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Assari, S. Socioeconomic Status and Self-Rated Oral Health; Diminished Return among Hispanic Whites. Dent. J. 2018, 6, 11. [Google Scholar] [CrossRef] [Green Version]
  90. Assari, S. Socioeconomic Determinants of Systolic Blood Pressure; Minorities’ Diminished Returns. J. Health Econ. Dev. 2019, 1, 1–11. [Google Scholar]
  91. Assari, S. General Self-Efficacy and Mortality in the USA; Racial Differences. J. Racial Ethn. Health Disparities 2017, 4, 746–757. [Google Scholar] [CrossRef]
  92. Assari, S. Race, sense of control over life, and short-term risk of mortality among older adults in the United States. Arch. Med. Sci. 2017, 13, 1233–1240. [Google Scholar] [CrossRef] [Green Version]
Table
Table 1. Descriptive data overall.
Table 1. Descriptive data overall.
Whites
(n = 5147)		African Americans
(n = 1929)		All
(n = 7076)
n%n%n%
Race
Whites5147100.0514772.7--
African Americans--192927.31929100.0
Gender
Male242347.1338147.895849.7
Female272452.9369552.297150.3
Marital Sttaus * a
Other157330.6302442.7145175.2
Married357469.4405257.347824.8
Parental Education * a
Did not complete highschool89617.4221731.3132168.5
Completed highschool425182.6485968.760831.5
Depressed Mood * a
No477492.8651792.1174390.4
Yes3737.25597.91869.6
Suicidal Attempt * a
No248598.7320898.172396.0
Yes331.3631.9304.0
MeanSDMeanSDMeanSD
Age9.470.509.470.519.460.51
Note: * p < 0.05 for comparison of Whites and African Americans. a Chi square test; SD = Standard Deviation; Sample size is 3271 for suicidal attempts.
Table
Table 2. Summary of logistic regressions overall.
Table 2. Summary of logistic regressions overall.
Model 1 (Main Effects)Model 2 (Interaction Effects)
OR95% CIPOR95% CIP
Depressed Mood (n = 7076)
Race (African American)1.130.91–1.410.2730.860.63–1.170.340
Gender (Male)0.880.74–1.050.1490.880.74–1.050.144
Age1.34 *1.13–1.580.0011.33 *1.12–1.580.001
Parental Education (Completed High School)0.81 *0.67–0.990.0370.77 *0.62–0.970.024
Marital Status (Married)0.830.67–1.030.0910.70 *0.54–0.910.007
Marital Status (Married) × Race---1.54 *1.00–2.370.048
Parental Education × Race---1.200.77–1.860.413
Constant0.01 * 0.0000.01 * 0.000
Suicidal Attempt (n = 3271)
Race (African American)1.91 *1.06–3.430.0300.740.36–1.550.431
Gender (Male)1.230.74–2.040.4311.240.74–2.060.412
Age1.090.66–1.800.7281.110.67–1.830.681
Parental Education (Completed High School)0.630.35–1.130.1200.29 *0.13–0.600.001
Marital Status (Married)0.50 *0.28–0.910.0220.36 *0.18–0.740.005
Parental Education × Race---6.62 *2.21–19.860.001
Marital Status (Married) × Race---1.960.65–5.860.231
Constant0.01 0.0660.02 0.094
Note: OR = Odds Ratio; CI = Confidence Interval; * p < 0.05.
Table
Table 3. Summary of logistic regressions by race.
Table 3. Summary of logistic regressions by race.
Model 3 (Whites)Model 4 (African Americans)
OR95% CIPOR95% CIP
Depressed Mood (n = 7076)
Gender (Male)0.81 *0.65–1.000.0471.040.77–1.410.780
Age1.23 *1.00–1.520.0501.56 *1.16–2.090.003
Parental Education (Completed High School)0.77 *0.61–0.960.0210.920.63–1.340.678
Marital Status (Married)0.70 *0.54–0.910.0081.080.76–1.520.674
Constant0.02 * 0.0000.00 * 0.000
Suicidal Attempt (n = 3271)
Gender (Male)1.490.73–3.060.2761.010.49–2.110.968
Age1.090.55–2.160.8101.130.54–2.360.743
Parental Education (Completed High School)0.29 *0.14–0.610.0011.860.83–4.160.132
Marital Status (Married)0.36 *0.18–0.740.0050.720.31–1.650.432
Constant 0.02 0.2290.01 0.214
Note: OR = Odds Ratio; CI = Confidence Interval; * p < 0.05.

Share and Cite

MDPI and ACS Style

Assari, S.; Boyce, S.; Bazargan, M.; Caldwell, C.H. African Americans’ Diminished Returns of Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study. Eur. J. Investig. Health Psychol. Educ. 2020, 10, 656-668. https://doi.org/10.3390/ejihpe10020048

AMA Style

Assari S, Boyce S, Bazargan M, Caldwell CH. African Americans’ Diminished Returns of Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study. European Journal of Investigation in Health, Psychology and Education. 2020; 10(2):656-668. https://doi.org/10.3390/ejihpe10020048

Chicago/Turabian Style

Assari, Shervin, Shanika Boyce, Mohsen Bazargan, and Cleopatra H. Caldwell. 2020. "African Americans’ Diminished Returns of Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study" European Journal of Investigation in Health, Psychology and Education 10, no. 2: 656-668. https://doi.org/10.3390/ejihpe10020048

APA Style

Assari, S., Boyce, S., Bazargan, M., & Caldwell, C. H. (2020). African Americans’ Diminished Returns of Parental Education on Adolescents’ Depression and Suicide in the Adolescent Brain Cognitive Development (ABCD) Study. European Journal of Investigation in Health, Psychology and Education, 10(2), 656-668. https://doi.org/10.3390/ejihpe10020048

Article Metrics

Back to TopTop