1
|
Assari S, Zare H. Household Income and Offspring Education Explain Blacks' Diminished Returns of Parental Education. OPEN JOURNAL OF PSYCHOLOGY 2024; 4:18-29. [PMID: 39091591 PMCID: PMC11292485 DOI: 10.31586/ojp.2024.986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Background High parental education promotes various aspects of offspring well-being including reducing their risk of depression/anxiety, criminal justice involvement, and welfare reliance. However, according to minorities' diminished returns, these benefits are not equal across racial groups, with Black families experiencing diminished returns of parental education compared to White families. This study explores the role of household income and offspring educational attainment as potential serial pathways that operate as mechanisms underlying diminished returns of parental education on offspring outcomes in Black families. Gender differences in these effects were also explored. Methods Utilizing data from the Future of Families and Child Wellbeing Study (FFCWS) over a 22-year follow-up period (seven waves), we examined the serial mediation by household income and offspring educational attainment in explaining the relationship between parental education and offspring outcomes namely depression, anxiety, criminal justice involvement, and welfare reliance [Temporary Assistance for Needy Families (TANF) and Supplemental Nutrition Assistance Program (SNAP)]. We used structural equation modeling (SEM) with household income as the first mediator and young adult education as the second mediator. Multi-group models were used to explore gender differences in these paths. Results The study confirmed the role of our proposed serial mediators for Blacks' weaker effects of parental education on offspring outcomes. We observed weaker effects of first affects household income, with this effect being for Black families compared to White families, which then impacted educational attainment of the offspring. The findings indicate that household income plays a crucial mediating role, but its effect is weaker in Black families. Additionally, the educational attainment of offspring from highly educated Black parents is less effective in improving outcomes compared to their White peers, further contributing to diminished returns. Some gender differences were observed for the effects of educational attainment on economic and health outcomes of young adults. Conclusions The study underscores the need to reconsider traditional assumptions about the comparability of family conditions and outcomes across racial groups with similar levels of parental education. The findings highlight the importance of targeted policies and interventions aimed at enhancing the economic stability and educational outcomes of Black families to address these disparities. Policies should focus on promoting the economic well-being of highly educated Black parents and improving the educational outcomes of their children.
Collapse
Affiliation(s)
- Shervin Assari
- Department of Internal Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA, United States
- Marginalization-Related Diminished Returns (MDRs) Center, Los Angeles, CA, United States
| | - Hossein Zare
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- School of Business, University of Maryland Global Campus (UMGC), College Park, MD, United States
| |
Collapse
|
2
|
Assari S. Racial Differences in Biopsychosocial Pathways to Tobacco and Marijuana Use Among Youth. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02035-8. [PMID: 38807026 DOI: 10.1007/s40615-024-02035-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/13/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND The influence of socioeconomic disparities and multidimensional stressors on youth tobacco and marijuana use is recognized; however, the extent of these effects varies among different racial groups. Understanding the racial differences in the factors influencing substance use is crucial for developing tailored interventions aimed at reducing disparities in tobacco and marijuana use among adolescents. AIMS This study aims to explore the differential effects of socioeconomic disparities and multidimensional stressors on tobacco and marijuana use between Black and White adolescents. METHODS Utilizing longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study, this research includes a cohort of pre-youth, monitored from the age of 9-10 years for a period of up to 36 months. We examined the impact of various socioeconomic status (SES) indicators and multidimensional stressors, including trauma, financial stress, racial discrimination, and family stress, alongside baseline average cortical thickness and the subsequent initiation of tobacco and marijuana use over the 36-month follow-up. RESULTS Overall, 10,777 participants entered our analysis. This included 8263 White and 2514 Black youth. Our findings indicate significant differences in the pathways from SES indicators through stress types to cortical thickness between Black and White youths. Notably, cortical thickness's impact on the future initiation of tobacco and marijuana use was present in both groups. CONCLUSION The study suggests that compared to White adolescents, Black adolescents' substance use and associated cortical thickness are less influenced by stress and SES indicators. This discrepancy may be attributed to the compounded effects of racism, where psychosocial mechanisms might be more diminished for Black youth than White youth. These findings support the theory of Minorities' Diminished Returns rather than the cumulative disadvantage or double jeopardy hypothesis, highlighting the need for interventions that address the unique challenges faced by Black adolescents.
Collapse
Affiliation(s)
- Shervin Assari
- Department of Internal Medicine, Charles R Drew University of Medicine and Science, 1731 E. 120th St., Los Angeles, CA, 90059, USA.
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.
- Marginalization-Related Diminished Returns, Los Angeles, CA, USA.
| |
Collapse
|
3
|
Keller AS, Pines AR, Shanmugan S, Sydnor VJ, Cui Z, Bertolero MA, Barzilay R, Alexander-Bloch AF, Byington N, Chen A, Conan GM, Davatzikos C, Feczko E, Hendrickson TJ, Houghton A, Larsen B, Li H, Miranda-Dominguez O, Roalf DR, Perrone A, Shetty A, Shinohara RT, Fan Y, Fair DA, Satterthwaite TD. Personalized functional brain network topography is associated with individual differences in youth cognition. Nat Commun 2023; 14:8411. [PMID: 38110396 PMCID: PMC10728159 DOI: 10.1038/s41467-023-44087-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 11/29/2023] [Indexed: 12/20/2023] Open
Abstract
Individual differences in cognition during childhood are associated with important social, physical, and mental health outcomes in adolescence and adulthood. Given that cortical surface arealization during development reflects the brain's functional prioritization, quantifying variation in the topography of functional brain networks across the developing cortex may provide insight regarding individual differences in cognition. We test this idea by defining personalized functional networks (PFNs) that account for interindividual heterogeneity in functional brain network topography in 9-10 year olds from the Adolescent Brain Cognitive Development℠ Study. Across matched discovery (n = 3525) and replication (n = 3447) samples, the total cortical representation of fronto-parietal PFNs positively correlates with general cognition. Cross-validated ridge regressions trained on PFN topography predict cognition in unseen data across domains, with prediction accuracy increasing along the cortex's sensorimotor-association organizational axis. These results establish that functional network topography heterogeneity is associated with individual differences in cognition before the critical transition into adolescence.
Collapse
Affiliation(s)
- Arielle S Keller
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Adam R Pines
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sheila Shanmugan
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Valerie J Sydnor
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zaixu Cui
- Chinese Institute for Brain Research, Beijing, China
| | - Maxwell A Bertolero
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ran Barzilay
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Aaron F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Nora Byington
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Andrew Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Gregory M Conan
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eric Feczko
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Timothy J Hendrickson
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
- University of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Audrey Houghton
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Bart Larsen
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Hongming Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Oscar Miranda-Dominguez
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Children's Hospital of Philadelphia and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Anders Perrone
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Alisha Shetty
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yong Fan
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Damien A Fair
- Masonic Institute for the Developing Brain, Institute of Child Development, College of Education and Human Development, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN, 55414, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
| |
Collapse
|
4
|
Adinkrah E, Najand B, Rahmani A, Maharlouei N, Ekwegh T, Cobb S, Zare H. Social Determinants of Mental, Physical, and Oral Health of Middle-Aged and Older African Americans in South Los Angeles. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16765. [PMID: 36554645 PMCID: PMC9779480 DOI: 10.3390/ijerph192416765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/10/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND A growing body of research suggests that financial difficulties could weaken the protective effects of socioeconomic status (SES) indicators, including education and income, on the health status of marginalized communities, such as African Americans. AIM We investigated the separate and joint effects of education, income, and financial difficulties on mental, physical, and oral self-rated health (SRH) outcomes in African American middle-aged and older adults. METHODS This cross-sectional study enrolled 150 middle-aged and older African Americans residing in South Los Angeles. Data on demographic factors (age and gender), socioeconomic characteristics (education, income, and financial difficulties), and self-rated health (mental, physical, and oral health) were collected. Three linear regression models were used to analyze the data. RESULTS Higher education and income were associated with a lower level of financial strain in a bivariate analysis. However, according to multivariable models, only financial difficulties were associated with poor mental, physical, and oral health. As similar patterns emerged for all three health outcomes, the risk associated with financial difficulties seems robust. CONCLUSIONS According to our multivariable models, financial strain is a more salient social determinant of health within African American communities than education and income in economically constrained urban environments such as South Los Angeles. While education and income lose some protective effects, financial strain continues to deteriorate the health of African American communities across domains.
Collapse
Affiliation(s)
- Edward Adinkrah
- Department of Family Medicine, Charles R Drew University of Medicine and Science, Los Angeles, CA 90059, USA
| | - Babak Najand
- Marginalization-Related Diminished Returns (MDRs) Center, Los Angeles, CA 90059, USA
| | - Arash Rahmani
- Marginalization-Related Diminished Returns (MDRs) Center, Los Angeles, CA 90059, USA
| | - Najmeh Maharlouei
- Marginalization-Related Diminished Returns (MDRs) Center, Los Angeles, CA 90059, USA
| | - Tavonia Ekwegh
- Mervyn M. Dymally School of Nursing, Charles R Drew University of Medicine and Science, Los Angeles, CA 90059, USA
| | - Sharon Cobb
- Mervyn M. Dymally School of Nursing, Charles R Drew University of Medicine and Science, Los Angeles, CA 90059, USA
| | - Hossein Zare
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- School of Business, University of Maryland Global Campus (UMGC), Adelphi, Garden City, NY 20783, USA
| |
Collapse
|
5
|
Assari S, Boyce S, Bazargan M, Thomas A, Cobb RJ, Hudson D, Curry TJ, Nicholson HL, Cuevas AG, Mistry R, Chavous TM, Caldwell CH, Zimmerman MA. Parental Educational Attainment, the Superior Temporal Cortical Surface Area, and Reading Ability among American Children: A Test of Marginalization-Related Diminished Returns. CHILDREN-BASEL 2021; 8:children8050412. [PMID: 34070118 PMCID: PMC8158386 DOI: 10.3390/children8050412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/05/2021] [Accepted: 05/12/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Recent studies have shown that parental educational attainment is associated with a larger superior temporal cortical surface area associated with higher reading ability in children. Simultaneously, the marginalization-related diminished returns (MDRs) framework suggests that, due to structural racism and social stratification, returns of parental education are smaller for black and other racial/ethnic minority children compared to their white counterparts. PURPOSE This study used a large national sample of 9-10-year-old American children to investigate associations between parental educational attainment, the right and left superior temporal cortical surface area, and reading ability across diverse racial/ethnic groups. METHODS This was a cross-sectional analysis that included 10,817 9-10-year-old children from the Adolescent Brain Cognitive Development (ABCD) study. Parental educational attainment was treated as a five-level categorical variable. Children's right and left superior temporal cortical surface area and reading ability were continuous variables. Race/ethnicity was the moderator. To adjust for the nested nature of the ABCD data, mixed-effects regression models were used to test the associations between parental education, superior temporal cortical surface area, and reading ability overall and by race/ethnicity. RESULTS Overall, high parental educational attainment was associated with greater superior temporal cortical surface area and reading ability in children. In the pooled sample, we found statistically significant interactions between race/ethnicity and parental educational attainment on children's right and left superior temporal cortical surface area, suggesting that high parental educational attainment has a smaller boosting effect on children's superior temporal cortical surface area for black than white children. We also found a significant interaction between race and the left superior temporal surface area on reading ability, indicating weaker associations for Alaskan Natives, Native Hawaiians, and Pacific Islanders (AIAN/NHPI) than white children. We also found interactions between race and parental educational attainment on reading ability, indicating more potent effects for black children than white children. CONCLUSION While parental educational attainment may improve children's superior temporal cortical surface area, promoting reading ability, this effect may be unequal across racial/ethnic groups. To minimize the racial/ethnic gap in children's brain development and school achievement, we need to address societal barriers that diminish parental educational attainment's marginal returns for middle-class minority families. Social and public policies need to go beyond equal access and address structural and societal barriers that hinder middle-class families of color and their children. Future research should test how racism, social stratification, segregation, and discrimination, which shape the daily lives of non-white individuals, take a toll on children's brains and academic development.
Collapse
Affiliation(s)
- Shervin Assari
- Minorities’ Diminished Returns (MDRs) Center, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA; (S.B.); (M.B.)
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Correspondence:
| | - Shanika Boyce
- Minorities’ Diminished Returns (MDRs) Center, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA; (S.B.); (M.B.)
- Department of Pediatrics, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
| | - Mohsen Bazargan
- Minorities’ Diminished Returns (MDRs) Center, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA; (S.B.); (M.B.)
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Department of Family Medicine, University of California-Los Angeles (UCLA), Los Angeles, CA 90095, USA
| | - Alvin Thomas
- Human Development and Family Studies Department, School of Human Ecology, University of Wisconsin-Madison, Madison, WI 53706, USA;
| | - Ryon J. Cobb
- Department of Sociology, University of Georgia, Athens, GA 30602, USA;
| | - Darrell Hudson
- Brown School, Washington University, St. Louis, MO 63130, USA;
| | - Tommy J. Curry
- Department of Philosophy, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh EH8 9JS, UK;
| | - Harvey L. Nicholson
- Department of Sociology and Criminology & Law, University of Florida, Gainesville, FL 32611-7330, USA;
| | - Adolfo G. Cuevas
- Psychosocial Determinants of Health (PSDH) Lab, Tufts University, Boston, MA 02155, USA;
- Department of Community Health, Tufts University, Boston, MA 02155, USA
| | - Ritesh Mistry
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA; (R.M.); (C.H.C.); (M.A.Z.)
| | - Tabbye M. Chavous
- School of Education, University of Michigan, Ann Arbor, MI 48109-2029, USA;
- National Center for Institutional Diversity, University of Michigan, Ann Arbor, MI 48109-2029, USA
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109-2029, USA
| | - Cleopatra H. Caldwell
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA; (R.M.); (C.H.C.); (M.A.Z.)
- Center for Research on Ethnicity, Culture, and Health (CRECH), University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA
| | - Marc A. Zimmerman
- Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA; (R.M.); (C.H.C.); (M.A.Z.)
- Prevention Research Center, University of Michigan School of Public Health, Ann Arbor, MI 48109-2029, USA
| |
Collapse
|
6
|
Assari S, Boyce S. Resting-State Functional Connectivity between Putamen and Salience Network and Childhood Body Mass Index. Neurol Int 2021; 13:85-101. [PMID: 33806587 PMCID: PMC8006001 DOI: 10.3390/neurolint13010009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/19/2021] [Accepted: 01/22/2021] [Indexed: 12/16/2022] Open
Abstract
Introduction: Although the putamen has a significant role in reward-seeking and motivated behaviors, including eating and food-seeking, minorities’ diminished returns (MDRs) suggest that individual-level risk and protective factors have weaker effects for Non-Hispanic Black than Non-Hispanic White individuals. However, limited research is available on the relevance of MDRs in terms of the role of putamen functional connectivity on body mass index (BMI). Purpose: Building on the MDRs framework and conceptualizing race and socioeconomic status (SES) indicators as social constructs, we explored racial and SES differences in the associations between putamen functional connectivity to the salience network and children’s BMI. Methods: For this cross-sectional study, we used functional magnetic resonance imaging (fMRI) data of 6473 9–10-year-old Non-Hispanic Black and Non-Hispanic White children from the Adolescent Brain Cognitive Development (ABCD) study. The primary independent variable was putamen functional connectivity to the salience network, measured by fMRI. The primary outcome was the children’s BMI. Age, sex, neighborhood income, and family structure were the covariates. Race, family structure, parental education, and household income were potential moderators. For data analysis, we used mixed-effect models in the overall sample and by race. Results: Higher right putamen functional connectivity to the salience network was associated with higher BMI in Non-Hispanic White children. The same association was missing for Non-Hispanic Black children. While there was no overall association in the pooled sample, a significant interaction was found, suggesting that the association between right putamen functional connectivity to the salience network and children’s BMI was modified by race. Compared to Non-Hispanic White children, Non-Hispanic Black children showed a weaker association between right putamen functional connectivity to the salience network and BMI. While parental education and household income did not moderate our association of interest, marital status altered the associations between putamen functional connectivity to the salience network and children’s BMI. These patterns were observed for right but not left putamen. Other/Mixed Race children also showed a pattern similar to Non-Hispanic Black children. Conclusions: The association between right putamen functional connectivity to the salience network and children’s BMI may depend on race and marital status but not parental education and household income. While right putamen functional connectivity to the salience network is associated with Non-Hispanic White children’s BMI, Non-Hispanic Black children’ BMI remains high regardless of their putamen functional connectivity to the salience network. This finding is in line with MDRs, which attributes diminished effects of individual-risk and protective factors for Non-Hispanic Black children to racism, stratification, and segregation.
Collapse
Affiliation(s)
- Shervin Assari
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA
- Correspondence:
| | - Shanika Boyce
- Department of Pediatrics, Charles R. Drew University of Medicine and Science, Los Angeles, CA 90059, USA;
| |
Collapse
|
7
|
Ren Y, Fang X, Fang H, Pang G, Cai J, Wang S, Ke X. Predicting the Adult Clinical and Academic Outcomes in Boys With ADHD: A 7- to 10-Year Follow-Up Study in China. Front Pediatr 2021; 9:634633. [PMID: 34408992 PMCID: PMC8367416 DOI: 10.3389/fped.2021.634633] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Attention-deficit/hyperactivity disorder (ADHD) often persists into adulthood and causes adverse effects on social functioning. The present study aimed to widely investigate the predictors, particularly childhood intelligence quotient (IQ) and family environment factors, on adult clinical and academic outcomes in boys with ADHD. Methods: A total of 101 boys with ADHD in a Chinese Han ADHD cohort were followed up 7-10 years later. Baseline ADHD symptoms were evaluated using the parent version of the ADHD Rating Scale-IV (ADHD-RS-IV) and the Chinese version of the Conners' Parent Rating Scale-Revised (CPRS-48). The intelligence of the child was tested by the China-Wechsler Intelligence Scale for Children (C-WISC), and family function was assessed by the Family Environment Scale-Chinese Edition (FES-CV). Adult ADHD persistence was defined using DSM-IV criteria for ADHD, and academic outcome fell into two categories: higher academic level group (studying in senior middle school or above) and lower academic level group (studying in vocational secondary schools or below). Results: Stepwise multiple logistic regression analysis revealed that the father's character, impulsive-hyperactive index as measured by the CPRS-48, and intellectual-cultural index as measured by the FES-CV independently predicted clinical outcomes in adults, with an AUC of 0.770 (p < 0.001, 95% CI = 0.678-0.863). The corresponding sensitivity and specificity were 0.743 and 0.727, respectively. The father's education level, family economic level, and verbal IQ (VIQ) on the C-WISC independently predicted adult academic outcomes, with an AUC of 0.870 (p < 0.001, 95% CI = 0.796-0.944). The corresponding sensitivity and specificity were 0.813 and 0.783, respectively. Conclusion: Initial ADHD symptom severity and IQ, father's character and education level, and family atmosphere and function affect adult clinical and academic outcomes. Addressing these areas early may help to improve the prognosis of ADHD into adulthood.
Collapse
Affiliation(s)
- Yanling Ren
- Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Xinyu Fang
- Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Hui Fang
- Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Gaofeng Pang
- The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jing Cai
- The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Suhong Wang
- The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Xiaoyan Ke
- Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| |
Collapse
|