Research Article
Austin J Public Health Epidemiol. 2021; 8(4): 1110.
Immigrants’ Diminished Protective Effects of Educational Attainment against Depressive Symptoms in the National Health and Nutrition Examination Survey (NHANES 2005-2016)
Assari S1,2,3* and Zare H4,5
1Marginalization-Related Diminished Returns (MDRs) Research Center, Charles R. Drew University of Medicine and Science, California, USA
2Department of Family Medicine, Charles R. Drew University of Medicine and Science, California, USA
3Department of Urban Public Health, Charles R. Drew University of Medicine and Science, California, USA
4Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Maryland, USA
5University of Maryland Global Campus, Health Services Management, Maryland, USA
*Corresponding author: Shervin Assari, Marginalization-Related Diminished Returns (MDRs) Research Center, Charles R. Drew University of Medicine and Science, 1731 E 120th St, Los Angeles, California, USA
Received: September 22, 2021; Accepted: October 23, 2021; Published: October 30, 2021
Abstract
Background: Socioeconomic Status (SES) indicators such as educational attainment protect people against health problems, including but not limited to depressive symptoms. However, according to the marginalization-related Diminished Returns Framework (MDRs), SES indicators such as educational attainment show weaker health effects for marginalized than for socially privileged groups. We conducted this study-built on the MDRs-with two aims: First, to test the association between educational attainment and depressive symptoms, and second, to test variation in this association by immigration status.
Methods: This cross-sectional study used the National Health and Nutrition Examination Survey (NHANES 2005-2016) data. Participants included 28,682 adults who were either non-immigrant (US-born) or immigrant. Demographic factors (age, sex, race, ethnicity, and marital status), SES (educational attainment), and depressive symptoms (Patient Health Questionnaire-9 scale) were measured. Weighted Negative Binomial Regression (NBREG) models were used in Stata to adjust for the complex sample design of the NHANES. Models without and with interaction terms were estimated in the pooled sample and by immigration status.
Results: Overall, high educational attainment showed an inverse association with depressive symptoms. However, as documented by statistical interactions between educational and immigrant status showed that immigrants with college education or above had experienced higher depressive symptoms (IRR: 1.26; CI: 1.08-1.48) than US-born individuals with college education or above.
Conclusion: Educational attainment may have a differential association with the depressive symptoms of immigrant and non-immigrant people. Immigrant people report high depressive symptoms despite their high education.
Keywords: Depressive symptoms; Education; Socioeconomic status; Population groups
Background
The protective effects of Socioeconomic Status (SES) indicators such as educational attainment are well established [1]. Scholars such as Marmot [2,3], Hayward [4-6], Link and Phelan1, Ross and Miroswky [7-9], and others [10] have provided ample theoretical and empirical evidence explaining why educational attainment is associated with better health. In addition, although educational attainment is protective against almost all health problems [1], its protective effect against depressive symptoms is also well-known [11,12].
The Marginalization-related Diminished Returns (MDRs) phenomenon [13,14] refers to weaker health effects of educational attainment for marginalized communities. However, most of this work has focused on ethnic minorities [13,14]. As shown by Assari [13,14], Ferarro [15], Thorpe [16-18], Hudson [19-21], and others [22], weaker effects of educational attainment on health are found for ethnic minorities than for ethnic majorities. Other investigators such as Kaufman [23], Braveman [24], Shapiro [25,26], Williams [27,28], Ceci [29], and Navarro [30-32] have shown that educational attainment and other SES indicators may not even be comparable across social groups; as a result, the health effects of such SES indicators may also be unequal across various social groups [13,33]. For example, Ceci highlighted the differences between the Haves and the Have-Nots in their capacity to uptake any available or new resource (e.g., SES indicators) [29]. He argues that when resources become available, the Have-Nots (socially marginalized people) may be at a relative disadvantage for turning those resources into outcomes [29]. While any marginalized group may show MDRs (diminished health effects of SES), these MDRs are most robust for comparing ethnic groups, and they are best described for Blacks (relative to Whites) [13,14].
While these MDRs hold across SES indicators and health outcomes, they are best described for ethnic minorities than for immigrants. A literature review shows only five studies on MDRs of SES indicators in immigrant people, and such literature is scattered across age groups of children [34], adults [35], and older adults [36] and various SES indicators such as income [36] and other SES indicators [34]. For example, in one study, income showed a more significant effect on the mental health of US-born than on immigrant older adults [36]. However, these are also rarely shown for psychological well-being [35], such as depressive symptoms [34]. As such, it is important to study the MDRs of education on depressive symptoms for immigrants. This is important because MDRs may be more robust for more distant (e.g., education) than proximal social determinants (e.g., income or employment). This is probably because more social processes can hinder the effects on health of educational attainment than other SES indicators such as income and employment on health [37]. Educational attainment may not result in the same employment for diverse people because of the labor market discrimination [38]. As such, we may expect stronger MDRs for educational attainment than for other SES indicators such as income and employment. As some of the MDRs of educational attainment may be due to differential employment opportunities or income, controlling for employment and income may reduce the significance of MDRs due to educational attainment [37].
The MDRs framework [13,14] can be regarded as a paradigm shift in health disparities research because MDRs perform the following: (a) seek how economic and health effects of available SES indicators vary across subpopulations, (b) explore health disparities across the full SES spectrum, (c) allow SES returns to across groups, (d) use a moderated-mediation rather than a mediation model, (e) test the non-linear and non-additive effects of group membership and SES which are more realistic than universal average effects, and (e) explain why some health gaps may widen rather than narrow as SES increases [13,14].
Aims
In response to the gap in the literature, we conducted a secondary analysis of the National Health and Nutrition Examination Survey (NHANES) to determine the association between educational attainment and depressive symptoms by immigration status. While we hypothesize an inverse association between educational attainment and depressive symptoms, in line with the MDRs framework, we hypothesized that a weaker association between educational attainment and depressive symptoms would be weaker for immigrants than for US-born adults. As a result, we expected high depressive symptoms in immigrant people across educational attainment levels. In contrast, we expected low depressive symptoms for highly educated US-born people.
Materials and Methods
We used the National Health and Nutrition Examination Survey (NHANES) data between 2005-2016, [39]. The NHANES is a crosssectional survey that provides nationally representative health and nutritional status estimates for the US population. The response rate for this data between 1999-2016 reported 73.2% [40,41]. For this analysis, we included 28,682 individuals who were 20 years old and older. NHANES used a nationally representative sampling. The sampling strategy was clustered and stratified.
Outcome Variable
Depressive symptoms were defined using the Patient Health Questionnaire-9 cutoff of 10 or higher. The PHQ-9 is a “clinically validated survey with a sensitivity of 88% and a specificity of 88% at a cutoff score of 10 or higher” [42]. This measure asks people to rate how often over the past two weeks they experienced depressive symptoms, such as restless sleep, poor appetite, and feeling lonely. Each item was scored on a 4-point ordinal scale for frequency (0, not at all; 1, several days; 2, more than half the days; 3, nearly every day). The total score was calculated by finding the sum of 9 items; this approach yielded a maximum score of 27 [43]. We used this scale as the dependent variable in all NBREG models.
Main Independent Variables
The main independent variables of interest were educational attainment levels. Educational attainment was defined as a categorical variable (less than high school graduate, high school graduate or general equivalency diploma, some college or AA degree, college graduate or above).
Covariate
Covariates included race, ethnicity, age (years), sex, and marital status (1 = married, 0 = otherwise). Race was a nominal variable (non-Hispanic White = 0, non-Hispanic Black =1, Hispanic = 3, and other = 4).
Analytical Strategy
We used Stata statistical software version 15 to perform all analyses. We used descriptive analysis to compare the mean and proportional differences between immigrant and non-immigrant people for all study variables. Demographics, SES, and depressive symptoms were evaluated using unequal variances t-tests and chisquare. We conducted several sets of weighted negative binomial regression models [44]. From our regression models, we reported Incidence-Rate Ratios (IRR) and the corresponding 95% Confidence Intervals (CI) [45,46]. For the first set of analyses, we ran additive models. Then, to find the impact of educational attainment interaction on depressive symptoms, we ran a model with an interaction between immigration status and educational attainment. Finally, for the last set of analyses and because the interaction between immigration status and educational attainment was significant (p < 0.001), we stratified the analyses by immigration status. All analyses were weighted using the NHANES individual-level sampling weights for 2005-2016 (6 waves of data). As such, the estimates are representative at the national level for the US civilian population [47].
Results
Descriptive Data
A total of 28,682 individuals entered our analysis. From all participants, 70.2% (n =16,624) were non-Hispanic White (NHW), 10.9% (n =2,581) non-Hispanic Black (NHB), 12.9% (n =3,055) Hispanics and 3.1% (n = 1,421) other racial groups. The prevalence of individuals with depressive symptoms was 7.7%. The mean age of the participants was about 47.5 years (SD =14.4); 50.6% were female and 63.3% were married. Of all, 59.0% had an educational attainment higher than a high school degree (Table 1).
Immigrant (n = 5,805)
Non-Immigrant (n = 17,877)
All (n = 23,682)
p-value
Depressive Symptoms
Mean/%
(SD)
Mean/%
(SD)
Mean/%
(SD)
PHQ-D Score
7
(28.2)
7.9
-21.6
7.7
(22.7)
0.093
If PHQ>10a
2.8
(4.4)
3.0
(3.3)
3.0
(3.5)
0.000
PHQ Categories
Minimal
79.1
(45.1)
77.2
(33.7)
77.4
(35.6)
0.131
Mild
14
(38.4)
15
(28.6)
14.8
(30.3)
Moderate
4.4
(22.6)
4.9
(17.3)
4.8
(18.3)
Moderate-Severe and Severe
2.6
(17.6)
2.9
(13.6)
2.9
(14.3)
Immigrant
100
100
14.5
(30.0)
Socio-demographic
Age (years)
44.3
(16.9)
48
(13.7)
47.5
(14.4)
0.000
Female
46.8
(55.3)
51.2
(40.1)
50.6
(42.6)
0.000
Married
69.3
(51.2)
62.3
(38.9)
63.3
(41.0)
Educational attainment
Less than high school
36
(53.2)
13.8
(27.7)
17.0
(32.0)
0.000
High school graduate/GED
17.1
(41.7)
24.2
(34.3)
23.1
(35.9)
Some college or AA degree
20.8
(45.0)
33.3
(37.8)
31.5
(39.5)
College graduate or above
26.1
(48.7)
28.7
(36.3)
28.3
(38.4)
Race/Ethnicity
White Non-Hispanic
16.5
(41.2)
79.3
(32.5)
70.2
(38.9)
0.000
Black Non-Hispanic
6.3
(26.9)
11.7
(25.8)
10.9
(26.6)
Hispanics
54.2
(55.2)
5.8
(18.8)
12.9
(28.5)
Other
22.9
(46.6)
3.1
(14.0)
6.0
(20.2)
Note: Depressive symptoms categories were calculated using the Patient Health Questionnaire–9: none (0-4), mild (5-9), moderate (10-14), moderately severe (15-19), and severe (20). For this table, we combined moderately severe and severe as one group. The Percentages were weighted to the population of noninstitutionalized US adults aged 20 years or older. aWe created a dummy variable if the score was equal to or higher than 10.
Table 1: Demographic Characteristics of Nationally Representative Samples of US-Born and Immigrants Aged 20 and above, NHANES 2005-2016.
Bivariate analysis
As Table 1 shows, immigrant participants were younger than non-immigrant participants by four years. Education was also higher in non-immigrant than immigrant participants. While immigrants were more likely to be Hispanic, non-immigrants were more likely to be NHW and NHB. Immigrants and non-immigrants also varied in sex and likelihood of being married. Compared to non-immigrant people, immigrant individuals had lower probability of having PHQ- 9 scales higher than 10 than US-Born, 2.8 (SD = 4.4) vs. 3.0 (SD = 3.3) (See Table 1). (Figure 1-Figures 4 and Table 2) show the distribution of PHQ-9 scales between immigrants and US-born.
PHQ Scale
Less than
high schoolHigh school
graduate/GEDSome college
or AA degreeCollege graduate
or aboveMean/%
(SD)
Mean/%
(SD)
Mean/%
(SD)
Mean/%
(SD)
Immigrant
3.24
0.11
2.83
0.19
2.76
0.14
2.07
0.11
US-Born
4.13
0.15
3.32
0.1
3.16
0.8
2.12
0.5
Overall
3.85
0.11
3.26
0.09
3.11
0.08
2.11
0.04
p-value (Immigrant vs. US-Born
0
0
0
0
PHQ Category
Immigrant
Minimal
1,842
72.5
752
78.2
860
78.6
1,036
85.5
Mild
411
16.2
142
14.8
158
14.4
129
10.7
Moderate
174
6.9
37
3.8
48
4.4
32
2.6
Moderate-Severe and severe
112
4.4
31
3.2
28
2.6
14
1.2
Total Immigrant
2,539
962
1,094
1,211
US-Born
Minimal
2,385
67.2
3,332
73.4
4,289
74.3
3,405
84.7
Mild
629
17.7
754
16.6
948
16.4
460
11.4
Moderate
316
8.9
284
6.3
334
5.8
101
2.5
Moderate-Severe and severe
220
6.2
170
3.7
198
3.4
53
1.3
Total US-Born
3,550
4,540
5,769
4,019
Table 2: Prevalence of Depressive Symptoms in US-Born and Immigrants Aged 20 and above, NHANES 2005-2016.
Figure 1:
Figure 2:
Figure 3:
Figure 4:
Pooled sample models
Table 3 shows the regression models in the pooled sample. According to the model without interaction term (Model 1), high educational attainment was inversely associated with depressive symptoms. However, according to the models with interaction terms (Model 2), immigrants with college education or above experienced a higher relative ratio (IRR; C: 1.26; [1.08-1.48]) than US-born with college education or above.
Model 1 IRR [95% CI]
Model 2 IRR [95% CI]
Age (years)
1.00*** [1.00-1.00]
1.00** [1.00-1.00]
Female
1.38*** [1.32-1.44]
1.38*** [1.32-1.44]
Married
0.76*** [0.72-0.79]
0.76*** [0.72-0.79]
Education (Ref. Less than high school)
High school graduate/GED or equivalent
0.84*** [0.79-0.90]
0.82*** [0.76-0.89]
Some college or AA degree
0.77*** [0.71-0.83]
0.75*** [0.69-0.82]
College graduate or above
0.55*** [0.51-0.59]
0.53*** [0.48-0.57]
Immigration status
Non-US-Born (immigrant)
0.85*** [0.79-0.92]
0.76*** [0.68-0.84]
Race/Ethnicity (Ref. NHW)
Black Non-Hispanic
0.99 [0.93-1.06]
0.99 [0.93-1.05]
Hispanics
1.04 [0.97-1.12]
1.07 [0.99-1.15]
Other
1.12* [1.02-1.22]
1.10* [1.01-1.20]
Education # Immigration status
Immigrant with high school graduate/GED or equivale
NA
1.08 [0.92-1.27]
Immigrant with some college or AA degree
NA
1.12 [0.98-1.28]
Immigrant with college education or above
NA
1.26** [1.08-1.48]
N
23,682
23,682
*p<0.05, **p<0.01, ***p<0.001
IRR: Incidence Rate Ratios.
Table 3: Weighted Negative Binomial Regression Estimates in US adults aged 20 and above, NHANES 2005-2016.
Stratified models
Table 4 shows the weighted negative binomial regression estimates for immigrants and US-born. Education is protective for all levels of education in US-born, but only in immigrants with college education or above (IRR: 0.73; CI: 0.64-0.83). Sex and marital status are predictors for immigrants and US-born.
Model 1 IRR [95% CI]
Model 2 IRR [95% CI]
Age (years)
1 [1.00-1.00]
1.00*** [1.00-1.00]
Female
1.39*** [1.28-1.51]
1.38*** [1.31-1.44]
Married
0.71*** [0.64-0.79]
0.77*** [0.73-0.80]
Education (Ref. Less than high school)
High school graduate/GED or equivalent
0.92 [0.80-1.06]
0.82*** [0.76-0.89]
Some college or AA degree
0.89 [0.78-1.01]
0.74*** [0.68-0.81]
College graduate or above
0.73*** [0.64-0.83]
0.52*** [0.48-0.57]
Race/Ethnicity (Ref. NH White)
NH Black
0.93 [0.78-1.12]
0.99 [0.93-1.06]
Hispanics
1.14 [0.99-1.30]
1.01 [0.93-1.09]
Other
0.97 [0.81-1.17]
1.23*** [1.10-1.38]
N
5,805
17,877
*p<0.05, **p<0.01, ***p<0.001
IRR: Incidence Rate Ratios.
Table 4: Weighted Logistic Regression Estimates in Immigrants and US-Born Adults 20 Years of aged and above, NHANES 2005-2016.
Discussion
Educational attainment was associated with lower levels of depressive symptoms; however, immigration status moderated this association: We observed a weaker association for the immigrants than for US-born people. As a result, highly educated immigrant people reported higher-than-expected depressive symptoms.
There are a few previous reports of MDRs in the immigrant population. Here we can refer to five papers among immigrant children, adults, and older adults. First, in one study, income showed a larger effect on the mental health of US-born than immigrant older adults [36]. In adults participating in the National Health Interview Survey, highly educated immigrants were more likely to report poor self-rated health than highly educated US-born adults [33]. In a study of adults, highly educated immigrants showed heavier smoking than higher educated US-born people [48]. Fourth, another study found that higher education was associated with better health in terms of psychological distress, self-rated health, and chronic diseases [35]. However, immigrants had weaker protective effects of college graduation on psychological distress, self-rated health, and chronic diseases than U.S.-born counterparts [35]. Finally, in the Adolescent Brain Cognitive Development study, children from high-income and highly educated immigrant families remained at risk of depression [34]. And poor executive function [49] compared to US-born children.
This finding aligns with the recent observations that the effects of educational attainment and other SES indicators are all weaker for ethnic minorities than for Whites. These MDRs also hold for mental and physical health [50-52]. For instance, they are shown for depression, anxiety, suicide, substance use, obesity, heart disease, and hypertension. They may also have spillover effects on outcomes such as disability, hospitalization, and mortality. As a result of these MDRs, we observe premature mortality of highly educated ethnic minority people.
As a result of the existing MDRs, highly educated minority individuals show worse mental [53], behavioral [54,55], and physical health [17], and underutilize preventive healthcare [56,57]. In addition, poor mental health [58,59], high substance use [55-61], poor sleep [62], and poor diet [63] may result in a higher risk of depressive symptoms in highly educated people of color [37,64].
A wide range of structural and social mechanisms may explain these observed MDRs. It is difficult to decompose the mechanism, particularly because educational attainment influences a wide range of proximal outcomes and behaviors. We propose that highly educated immigrant people work in jobs with lower pay and lower occupational prestige that are associated with higher stress and exposure to toxins. This is shown for ethnic minorities [65] but not for immigrants. Discrimination may also be a contributor to differential returns of education across social groups. However, it is mainly studied in highly educated ethnic minorities rather than in immigrant people [66]. Highly educated ethnic minorities [13,14] remain at risk of economic insecurity [67], stress [68], live in poor residential areas [69], generate less income [67], and accumulate less wealth [70]. However, most of these economic processes are shown for ethnic minority people, and the relevance of the same processes for immigrants needs to be studied in detail.
More research should test whether neighborhoods, behaviors, work conditions, occupational prestige, stress, healthcare access, and discrimination explain the weaker effects of educational attainment in marginalized people. It is likely that treatment across institutions would partially explain why educational attainment is associated with fewer health returns for marginalized and immigrant individuals.
Limitations
This study is not free of limitations. First, similar to other cross-sectional data, no causal inference is implied. Second, while the association between educational attainment and depressive symptoms is bidirectional, depressive symptoms are less likely to reduce education than vise-versa. Still, the results should be interpreted with more caution regarding the directionality of the educational attainment-mental health association. Another limitation is that the sample size was asymmetrical, with lower n for immigrants than for non-immigrant people. This is, however, the case in all national studies with representative samples. In addition, depressive symptoms were self-reported and were not verified by structured interviews, physician diagnosis, or health claims. Finally, this study did not include a wide range of SES indicators such as employment, income, and wealth. The reason for not controlling such SES indicators was that employment, income, or wealth may be on the causal path for the differential association of educational attainment and health across groups. In other terms, controlling for such factors may bias the results toward the null. Thus, income, employment, and wealth are not confounders but potential mediators when studying MDRs of educational attainment.
Implications
The results suggest that to eliminate ethnic depressive symptoms inequalities, we may need policies beyond poverty elimination and address occupational disparities that may equalize the health return of educational attainment by race. Such policies that address social inequalities such as labor market discrimination or differential quality of educational attainment are hoped to reduce ethnic health disparities due to MDRs. This is important because solutions to health disparities due to low returns of educational attainment for marginalized people (i.e., MDRs) are different from those due to inadequate education, unemployment, and associated poverty. Thus, unless we develop policies that address MDRs in marginalized people, and unless we go beyond poverty elimination by addressing MDRsrelated health inequalities, educational attainment may continue to operate as a source in addition to a solution to health disparities.
Conclusion
We found that educational attainment does not show a similar association with depressive symptoms in non-immigrant and immigrant groups in the US. Highly educated immigrant people report high depressive symptoms risk, a pattern different from their non-immigrant counterparts. Thus, disparities in depressive symptoms in immigrants sustain across the entire educational spectrum. As proposed by the MDRs, health disparities should not be reduced to the problem of low SES, poverty, or low education. Some health inequalities are due to MDRs that may reflect social stratification and differential treatment of marginalization of people across SES levels.
Declaration
Acknowledgements: Special thanks to Martin F. Blair for the great edit to the manuscript.
Data Availability Statement: The data presented in this study are openly available in [National Health and Nutrition Examination Survey (NHANES) at https://www.cdc.gov/nchs/nhanes/index.htm]
References
- Clouston SAP, Link BG. A Retrospective on Fundamental Cause Theory: State of the Literature and Goals for the Future. Annual Review of Sociology. 2021; 47:131-156.
- Marmot M. Economic and social determinants of disease. Bull World Health Organ. 2001; 79: 988-989.
- Marmot M. Social determinants of health inequalities. Lancet. Mar 19-25. 2005; 365: 1099-1104.
- Montez JK, Hummer RA, Hayward MD. Educational attainment and adult mortality in the United States: a systematic analysis of functional form. Demography. 2012; 49: 315-336.
- Montez JK, Zajacova A, Hayward MD. Disparities in Disability by Educational Attainment across US States. Am J Public Health. 2017; 107: 1101-1108.
- Montez JK, Zajacova A, Hayward MD, Woolf SH, Chapman D, Beckfield J. Educational Disparities in Adult Mortality Across U.S. States: How Do They Differ, and Have They Changed Since the Mid-1980s? Demography. 2019; 56: 621-644.
- Ross CE, Mirowsky J. Does employment affect health? J Health Soc Behav. 1995; 36: 230-243.
- Ross CE, Mirowsky J. Refining the association between education and health: the effects of quantity, credential, and selectivity. Demography. 1999; 36: 445-460.
- Mirowsky J, Ross CE. Education, Health, and the Default American Lifestyle. J Health Soc Behav. Sep 2015; 56: 297-306.
- Needham BL, Smith JA, Zhao W, et al. Life course socioeconomic status and DNA methylation in genes related to stress reactivity and inflammation: The multi-ethnic study of atherosclerosis. Epigenetics. 2015; 10: 958-969.
- Richardson R, Westley T, Gariepy G, Austin N, Nandi A. Neighborhood socioeconomic conditions and depression: a systematic review and metaanalysis. Soc Psychiatry Psychiatr Epidemiol. 2015; 50: 1641-1656.
- Silva M, Loureiro A, Cardoso G. Social determinants of mental health: a review of the evidence. The European Journal of Psychiatry. 2016; 30: 259- 292.
- Assari S. Unequal Gain of Equal Resources across Racial Groups. Int J Health Policy Manag. 2017; 7:1-9.
- Assari S. Health Disparities due to Diminished Return among Black Americans: Public Policy Solutions. Social Issues and Policy Review. 2018; 12: 112-145.
- Farmer MM, Ferraro KF. Are racial disparities in health conditional on socioeconomic status? Soc Sci Med. 2005; 60:191-204.
- Wilson KB, Thorpe RJ Jr., LaVeist TA. Dollar for Dollar: Racial and ethnic inequalities in health and health-related outcomes among persons with very high income. Prev Med. 2017; 96: 149-153.
- Laveist TA, Thorpe RJ Jr., Mance GA, Jackson J. Overcoming confounding of race with socio-economic status and segregation to explore race disparities in smoking. Addiction. 2007; 102: 65-70.
- Bell CN, Sacks TK, Thomas Tobin CS, Thorpe RJ Jr. Racial Non-equivalence of Socioeconomic Status and Self-rated Health among African Americans and Whites. SSM Popul Health. 2020; 10: 100561.
- 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.
- Hudson DL, Puterman E, Bibbins-Domingo K, Matthews KA, Adler NE. Race, life course socioeconomic position, racial discrimination, depressive symptoms and self-rated health. Soc Sci Med. 2013; 97: 7-14.
- Hudson DL, Bullard KM, Neighbors HW, Geronimus AT, Yang J, Jackson JS. Are benefits conferred with greater socioeconomic position undermined by racial discrimination among African American men? J Mens Health. 2012; 9: 127-136.
- Spera C, Wentzel KR, Matto HC. Parental aspirations for their children’s educational attainment: Relations to ethnicity, parental education, children’s academic performance, and parental perceptions of school climate. Journal of youth and adolescence. 2009; 38: 1140-1152.
- Kaufman JS, Cooper RS, McGee DL. Socioeconomic status and health in blacks and whites: the problem of residual confounding and the resiliency of race. Epidemiology. 1997; 8: 621-628.
- Braveman PA, Cubbin C, Egerter S, et al. Socioeconomic status in health research: one size does not fit all. Jama. 2005; 294: 2879-2888.
- Oliver M, Shapiro T. Black wealth/white wealth: A new perspective on racial inequality. Routledge. 2013.
- Oliver ML, Shapiro TM. Black wealth/white wealth. New York: Routledge. 1999.
- Williams DR, Costa MV, Odunlami AO, Mohammed SA. Moving upstream: how interventions that address the social determinants of health can improve health and reduce disparities. J Public Health Manag Pract. 2008; 14: S8-17.
- Williams DR. Race, socioeconomic status, and health the added effects of racism and discrimination. 1999; 896: 173-188.
- Ceci SJ, Papierno PB. The rhetoric and reality of gap closing: when the” have-nots” gain but the” haves” gain even more. American Psychologist. 2005; 60: 149.
- Navarro V. Race or class or race and class: growing mortality differentials in the United States. Int J Health Serv. 1991; 21: 229-235.
- Navarro V. Race or class versus race and class: mortality differentials in the United States. Lancet. 1990; 336: 1238-1240.
- Navarro V. Race or class, or race and class. Int J Health Serv. 1989; 19: 311-314.
- Assari S, Perez MU, Johnson N, et al. Education Level and Self-rated Health in the United States: Immigrants’ Diminished Returns. Int J Travel Med Glob Health. Summer. 2020; 8: 116-123.
- Assari S. Household Income and Children’s Depressive Symptoms: Immigrants’ Diminished Returns. International Journal of Travel Medicine and Global Health. 2020; 8: 157-164.
- Assari S, Cobb S, Cuevas A, Bazargan M. Diminished Health Returns of Educational Attainment among Immigrant Adults in the United States. Front Psychiatry. 2020; 11.
- Assari S. Income and Mental Well-Being of Middle-Aged and Older Americans: Immigrants’ Diminished Returns. International Journal of Travel Medicine and Global Health. 2020; 8: 37-43.
- Assari S. Blacks’ Diminished Return of Education Attainment on Subjective Health; Mediating Effect of Income. Brain Sci. 2018; 8: 176.
- Bertrand M, Mullainathan S. Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American economic review. 2004; 94: 991-1013.
- NHANES. National Center for Health Statistics. National Health and Nutrition Examination Survey. Hyattsville, MD: US Department of Health and Human Services, CDC, National Center for Health Statistics. 2020. 2020.
- Zipf G, Chiappa M, Porter KS, Ostchega Y, Lewis BG, Dostal J. National health and nutrition examination survey: plan and operations, 1999-2010. National Center for Health Statistics. Vital Health Stat 1(56). 2013. 2019.
- NHANES. Analytic Guidelines, 2011-2014 and 2015-2016 (December 14, 2018). National Health and Nutrition Examination Survey. 2018. 2019.
- Ettman CK, Abdalla SM, Cohen GH, Sampson L, Vivier PM, Galea S. Prevalence of depression symptoms in US adults before and during the COVID-19 pandemic. JAMA network open. 2020; 3: e2019686-e2019686.
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of general internal medicine. 2001; 16: 606-613.
- STATA. Stata.com. 2018. Negative binomial regression model. 2018.
- Thorpe Jr RJ, Parker LJ, Cobb RJ, Dillard F, Bowie J. Association between discrimination and obesity in African-American men. Biodemography and social biology. 2017; 63: 253-261.
- McNutt L-A, Wu C, Xue X, Hafner JP. Estimating the relative risk in cohort studies and clinical trials of common outcomes. American Journal of Epidemiology. 2003; 157: 940-943.
- CDC. Centers for Disease Control Prevention. National Health and Nutrition Examination Survey: Analytic Guidelines, 2011-2014 and 2015-2016. National Center for Health Statistics, editor Atlanta, GA. 2018.
- Assari S. Socioeconomic Status and Current Cigarette Smoking Status: Immigrants’ Diminished Returns. Int J Travel Med Glob Health. Spring. 2020; 8: 66-72.
- Assari S, Akhlaghipour G, Boyce S, Bazargan M, Caldwell CH. Parental Human Capital and Adolescents’ Executive Function: Immigrants’ Diminished Returns. Medical research archives. 2020; 8: 2235.
- Assari S, Moghani Lankarani M. Poverty Status and Childhood Asthma in White and Black Families: National Survey of Children’s Health. Healthcare (Basel). 2018; 6.
- Assari S, Caldwell CH. Family Income at Birth and Risk of Attention Deficit Hyperactivity Disorder at Age 15: Racial Differences. Children (Basel). 2019; 6: 10.
- Assari S. Socioeconomic Determinants of Systolic Blood Pressure; Minorities’ Diminished Returns. Journal of Health Economics and Development. 2019; 1: 1-11.
- Assari S, Lapeyrouse LM, Neighbors HW. Income and Self-Rated Mental Health: Diminished Returns for High Income Black Americans. Behav Sci (Basel). 2018; 8: 50.
- Assari S, Mistry R. Diminished Return of Employment on Ever Smoking Among Hispanic Whites in Los Angeles. Health Equity. 2019; 3: 138-144.
- Assari S, Mistry R. Educational Attainment and Smoking Status in a National Sample of American Adults; Evidence for the Blacks’ Diminished Return. Int J Environ Res Public Health. 2018; 15: 763.
- Assari S, Bazargan M. Educational Attainment Better Increases the Chance of Breast Physical Exam for Non-Hispanic than Hispanic American Women: National Health Interview Survey. Hospital Practices and Research. 2019; 4: 122-127.
- Assari S, Hani N. Household Income and Children’s Unmet Dental Care Need; Blacks’ Diminished Return. Dent J (Basel). 2018; 6: 17.
- Assari S. High Income Protects Whites but Not African Americans against Risk of Depression. Healthcare (Basel). 2018; 6: 37.
- Assari S. Educational Attainment Better Protects African American Women than African American Men Against Depressive Symptoms and Psychological Distress. Brain Sci. 2018; 8: 182.
- Assari S, Farokhnia M, Mistry R. Education Attainment and Alcohol Binge Drinking: Diminished Returns of Hispanics in Los Angeles. Behav Sci (Basel). 2019; 9: 9.
- Shervin A, Ritesh M. Diminished Return of Employment on Ever Smoking Among Hispanic Whites in Los Angeles. Health Equity. 2019; 3: 138-144.
- Assari S. Parental Education and Children’s Sleep Problems: Minorities’ Diminished Returns. International Journal of Epidemiologic Research. 2021; 8: 31-39.
- Assari S, Boyce S, Bazargan M, Caldwell CH, Mincy R. Maternal Education at Birth and Youth Breakfast Consumption at Age 15: Blacks’ Diminished Returns. J-Multidisciplinary Scientific Journal. 2020; 3: 313-323.
- Assari S, Lankarani MM. Race and Urbanity Alter the Protective Effect of Education but not Income on Mortality. Front Public Health. 2016; 4: 100.
- 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.
- Assari S, Moghani Lankarani M. Workplace Racial Composition Explains High Perceived Discrimination of High Socioeconomic Status African American Men. Brain Sci. 2018; 8: 139.
- Assari S. Parental Education Better Helps White than Black Families Escape Poverty: National Survey of Children’s Health. Economies. 2018; 6: 30.
- Assari S, Bazargan M. Unequal Associations between Educational Attainment and Occupational Stress across Racial and Ethnic Groups. International Journal of Environmental Research and Public Health. 2019; 16: 3539.
- Assari S, Boyce S, Caldwell CH, Bazargan M, Mincy R. Family Income and Gang Presence in the Neighborhood: Diminished Returns of Black Families. Urban Science. 2020; 4: 29.
- Assari S. College Graduation and Wealth Accumulation: Blacks’ Diminished Returns. World J Educ Res. 2020; 7: 1-18.