Racial/ethnic differences in the association between obesity and major depressive disorder: findings from the Comprehensive Psychiatric Epidemiology Surveys

Correlation Between Symptoms of Depression and Obesity in Caregivers of Patients With Chronic Illness: A Gender Difference Analysis

This study involved gender-stratified analysis and total-sample analysis to assess the extent to which symptoms of depression correlate with the body mass index (BMI) of a population of 112 people responsible for caring for others diagnosed with a chronic illness. The majority of the participants (caregivers) of this study were female (57.1%). All participants were recruited from an urban medical city hospital. The Patient Health Questionnaire-9 (PHQ-9) was employed to assess the extent to which caregivers exhibited symptoms of depression, and BMI was calculated by the researcher using the subject's height and weight. Regressions were executed on the entire dataset spanning male and female participants to generate insights into demographic factors, after which the PHQ-9 was administered. After taking into account the possible confounding factors, the findings of the regression showed that there was a significant correlation between the BMI and PHQ-9 scores (β = .25, P = .042). The correlation between BMI and PHQ-9 persisted among females (β = .37, P = .023). Furthermore, there is a noteworthy correlation among the participants who were morbidly obese (BMI > 30 kg/m2). The correlation between BMI and PHQ-9 caregivers of patients with chronic illness remained after taking demographic factors into account. These findings could be utilized to enhance the outcomes for caregivers of patients with chronic illness. They may be particularly pertinent for caregivers who are experiencing depression or are overweight.

Correlation Between Body Mass Index and Depression/Depression-Like Symptoms Among Different Genders and Races

Background

While being overweight is a risk factor for hyperlipidemia, type 2 diabetes, cancer, and heart disease, it can also be a risk factor for depression and vice versa. In this study, we aimed to evaluate the relationship between body mass index (BMI) and the prevalence of depression symptoms between genders and races.

Methodology

A nationally representative sample was utilized to explore the relationship between depression-related symptoms and BMI status by comparing different genders and racial identities. The National Health and Nutrition Examination Survey (NHANES) data, managed by the Centers for Disease Control and Prevention, was used in this study. Data from 2013 to 2016 were included in the analysis. The Patient Health Questionnaire was used to collect information regarding responses to eight primary questions based on gender, race, and BMI status. Statistical analysis was conducted using descriptive analysis and the chi-square test.

Results

Data were presented as percentages. A majority of both men and women who admitted to having depression or depression-like symptoms more than half the days or nearly every day were overweight or obese. However, men had a higher prevalence compared to women for most questions. Statistical analysis showed that among men and women who felt down, depressed, or hopeless nearly every day, 61.5% (χ² = 5.045, p = 0.992) and 50.9% (χ² = 17.186, p = 0.308) were overweight, respectively. Among the races, those who felt down, depressed, or hopeless nearly every day, non-Hispanic Asian individuals had the lowest percentage of being overweight at 47.7% (χ² = 7.099, p = 0.955), while Hispanic individuals other than Mexican Americans had the highest percentage of being overweight at 67.4% (χ² = 8.792, p = 0.721).

Conclusions

Being overweight or obese appears to have a positive relationship with depression and depression-like symptoms for each gender and race. Similarly, individuals who report having depression-like symptoms are likely to be overweight or obese. Further research is needed to determine other differences in etiologies between genders and races, along with determining whether more individuals become depressed due to being overweight or obese or whether more individuals become overweight or obese due to being depressed. The results of this study are limited to the data obtained through NHANES.

Does substance use explain social differences in terms of depression? Findings from the Constances cohort

BACKGROUND

The role of alcohol, tobacco and cannabis use in social differences in terms of depression is poorly understood.

METHOD

We have applied mediation and moderated-mediation models stratified by gender to a population-based sample (N = 37,192) of French men and women from the Constances cohort with baseline and follow-up measures of depressive states. We have examined whether socioeconomic status (SES, measured by education and income) differences in the prevalence of depressive states may be explained by both differences in prevalence of substance use according to SES (mediating effects) and differential effects of substance use on depressive state according to SES (moderating effects).

RESULTS

In the mediation models, substance use only explained 5.3% and 2.4% of the association between low education and depressive state in men and women respectively, and was not a significant mediator for income. Moderated mediation models showed robust moderation effects of education and income in both men and women. The association of tobacco use with depressive symptoms, which was the only substance for which a mediation effect remained and for which the moderation effect of SES was the strongest, was significantly higher in participants with low SES.

LIMITATIONS

The partially cross-sectional nature of the data restricts the possibility of drawing causality with regards to associations between SES and substance use.

CONCLUSION

Targeting substance use, particularly tobacco, can especially reduce depression risk in individuals of low SES.

Obesity, food insecurity, and depression among females

BACKGROUND

Nutritional psychiatry is an emerging field of research and it is currently exploring the impact of nutrition and obesity on brain function and mental illness. Prior studies links between obesity, nutrition and depression among women. However, less is known how food insecurity may moderate that relationship.

METHODS

Data were employed from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003. Two logistic regression models were Logistic regression was used to determine the association between obesity, gender, food insecurity, and past year Major Depressive Disorder (MDD). We then stratified by gender, and tested the association between obesity and past year MDD, and if food insecurity moderated the association.

RESULTS

Obesity was associated with an increased risk for past year Major Depressive Disorder (MDD) among females (AOR = 1.35; 95% CI 1.17-1.55) and was not associated among males (AOR = 1.07; 95% CI, 0.86-1.32). Women who reported that reported both obesity and food insecurity reported higher odds of past year MDD episode (AOR = 3.16; 95% CI, 2.36-4.21, than women who did not report food insecurity (AOR = 1.08; 95% CI, 1.02-1.38).

CONCLUSION

With rising rates of mental health problems, females should be closely monitored to understand how poor diets, food insecurity, and obesity play a role in mental health outcomes. It is recommended that clinicians and treatment providers consider the patient's diet and access to nutritious foods when conducting their assessment.

Race, Obesity, and Mental Health Among Older Adults in the United States: A Literature Review

Rising rates of obesity among older adults in the United States are a serious public health concern. While the physical health consequences of obesity are well documented, the mental health consequences are less understood. This is especially the case among older adults in general and among racial and ethnic minority older adults in particular. Available studies document a link between obesity and a variety of mental health disorders. However, findings from this body of evidence are inconsistent, especially when race and ethnicity are considered. This article examines research on obesity and mental health among older adults and identifies risk factors, causal mechanisms, and methodological approaches that help clarify the equivocal nature of the literature. Promising research and future directions include studies that consider a wide array of contextual factors and population heterogeneity.

Depression in middle and older adulthood: the role of immigration, nutrition, and other determinants of health in the Canadian longitudinal study on aging

BACKGROUND

Little is known about depression in middle-aged and older Canadians and how it is affected by health determinants, particularly immigrant status. This study examined depression and socio-economic, health, immigration and nutrition-related factors in older adults.

METHODS

Using weighted comprehensive cohort data from the baseline Canadian Longitudinal Study on Aging (n = 27,162) of adults aged 45-85, gender-specific binary logistic regression was conducted with the cross-sectional data using the following variables: 1) Depression (outcome) measured using the Center for Epidemiologic Studies Short Depression (CESD-10) rating scale; 2) Immigration status: native-born, recent and mid-term (< 20 years), and long-term immigrants (≥20 years); and 3) covariates: socioeconomic status, physical health (e.g., multi-morbidity), health behavior (e.g., substance use), over-nutrition (e.g., anthropometrics), under-nutrition (e.g., nutrition risk), and dietary intake.

RESULTS

The sample respondents were mainly Canadian-born (82.6%), women (50.6%), 56-65 years (58.9%), earning between C$50,000-99,999 (33.2%), and in a relationship (69.4%). When compared to Canadian-born residents, recent, mid-term (< 20 years), and longer-term (≥ 20 years) immigrant women were more likely to report depression and this relationship was robust to adjustments for 32 covariates (adjusted ORs = 1.19, 2.54, respectively, p < 0.001). For women, not completing secondary school (OR = 1.23, p < 0.05), stage 1 hypertension (OR = 1.31, p < 0.001), chronic pain (OR = 1.79, p < 0.001), low fruit/vegetable intakes (OR = 1.33, p < 0.05), and fruit juice (OR = 1.80, p < 0.001), chocolate (ORs = 1.15-1.66, p's < 0.05), or salty snack (OR = 1.19, p < 0.05) consumption were associated with depression. For all participants, lower grip strength (OR = 1.25, p < 0.001) and high nutritional risk (OR = 2.24, p < 0.001) were associated with depression. For men, being in a relationship (OR = 0.62, p < 0.001), completing post-secondary education (OR = 0.82, p < 0.05), higher fat (ORs = 0.67-83, p's < 0.05) and omega-3 egg intake (OR = 0.86, p < 0.05) as well as moderate intakes of fruits/vegetables and calcium/high vitamin D sources (ORs = 0.71-0.743, p's < 0.05) predicted a lower likelihood of depression. For men, chronic conditions (ORs = 1.36-3.65, p's < 0.001), chronic pain (OR = 1.86, p < 0.001), smoking (OR = 1.17, p < 0.001), or chocolate consumption (ORs = 1.14-1.72, p's < 0.05) predicted a higher likelihood of depression.

CONCLUSIONS

The odds of developing depression were highest among immigrant women. Depression in middle-aged and older adults is also associated with socioeconomic, physical, and nutritional factors and the relationships differ by sex. These results provide insights for mental health interventions specific to adults aged 45-85.

Violence Victimization Predicts Body Mass Index One Decade Later among an Urban Sample of African American Young Adults: Sex as a Moderator and Dehydroepiandrosterone as a Mediator

Psychological stressors such as violence victimization are known contributors to obesity. However, moderators and mediators of this association have not been studied, although they might offer pathways for intervention or prevention. Using a sample of African American young adults, this study tested: (1) the moderating effect of sex on the effect of violence victimization on trajectories of body mass index (BMI), and (2) the mediating effect of dehydroepiandrosterone (DHEA) on this association. This 13-year longitudinal study followed 73 male and 80 female African American young adults who lived in an urban area from 1999 to 2012 when the youth were 20-32 years old. The independent variable was violence victimization measured in 1999 and 2000. The dependent variable was BMI measured in 2002 and 2012. The mediator was DHEA measured in 2001 and 2002. Multilevel path analysis was used to test if males and females differed in violence victimization predicting change in BMI (Model I) and the mediating effect of DHEA change on the above association (Model II). The results of Model I suggested that the change in violence victimization from 1999 to 2000 predicted change in BMI from 2002 to 2012 for females, but not males. Based on Model II, the DHEA change from 2000 to 2001 for females fully mediated the association between violence victimization from 1999 to 2000 and increases in BMI from 2002 to 2012. Our findings suggest that violence victimization in urban areas contributes to the development of obesity among African American female young adults and change in DHEA mediates this link. Violence prevention may have important implications for obesity prevention of African American young women who live in unsafe urban areas. This study also suggests that DHEA may be involved in the violence victimization-obesity link for African American women.

Race and income moderate the association between depressive symptoms and obesity

Complex interrelationships between race, sex, obesity and depression have been well-documented. Because of differences in associations between socioeconomic status (SES) and health by race, determining the role of SES may help to further explicate these relationships. The aim of this study was to determine how race and income interact with obesity on depression. Combining data from the 2007-2014 National Health and Nutrition Examination Survey, depressive symptoms was measured with the Patient Health Questionnaire-9 and obesity was assessed as body mass index ≥30 kg/m2. Three-way interactions between race, income and obesity on depressive symptoms were determined using ordered regression models. Significant interactions between race, middle income and obesity (OR = 0.66, 95% CI = 0.22-1.96) suggested that, among white women, obesity is positively associated with depressive symptoms across income levels, while obesity was not associated with depression for African American women at any income level. Obesity was only associated with depressive symptoms among middle-income white men (OR = 1.44, 95% CI = 1.02-2.03) and among high-income African American men (OR = 4.65, 95% CI = 1.48-14.59). The associations between obesity and depressive symptoms vary greatly by race and income. Findings from this study underscore the importance of addressing obesity and depression among higher income African American men.

Associations between reliable changes in depression and changes in BMI, total body fatness and visceral adiposity during a 12-month weight loss trial

We investigated associations between changes in depression and body composition over a 12-month weight loss trial. Of the 298 adults (BMI > 27 m/kg²), 219 with complete depression and body composition data were included. A 10-item Center for Epidemiologic Studies Depression Scale measured depression; dual-energy x-ray absorptiometry measured body composition. Multinomial logistic regression predicted reliable changes in depression by BMI, body fat (BF) and visceral adiposity (VAT). Multiplicative interaction terms tested modification by sex and ethnicity. Participants with increases in body composition were less likely to experience improvements in depression (BMI: RRR = 0.79 (0.68 – 0.91), p < 0.01; BF: RRR = 0.97 (0.94 – 0.99), p = 0.01; VAT: RRR = 0.99 (0.98 – 1.00), p = 0.02), but not worsening of depression (BMI: RRR= 1.29 (0.96 – 1.73), p = 0.10; BF: RRR = 1.04 (0.99 – 1.09), p = 0.15; VAT: RRR = 1.01 (1.00 – 1.03), p = 0.18). Sex and ethnicity interaction terms were not significant. However, the relationship was only significant among females, among non-Latinos for BMI and BF, and among Latinos for VAT. Our study supports the association between depression and obesity and highlights the need for longitudinal studies investigating VAT and depression in diverse ethnic groups.

Identifying subgroups of Black, Hispanic and Asian men at increased risk for comorbid depression and overweight or obesity

Comorbid depression and overweight or obesity increase risk for developing many chronic diseases. Investigating men of color without using a non-Hispanic White male reference group will capture a more nuanced picture of how socio-demographic factors contribute to increased risk for comorbid depression and overweight or obesity among and between men of color. This study used the U.S.-based 2014 National Health Interview Survey (n = 1363) in May 2018 to examine associations between race/ethnicity and comorbid overweight or obesity and depression in men. Men were more likely to be obese or overweight and depressed if they were older (31-54 years old and 55+) [OR = 2.387, 95% CI: 1.526, 3.873, p = 0.000; OR = 2.220, 95% CI: 1.355, 3.635, p = 0.002], Black [OR = 2.745, 95% CI: 1.622, 4.646, p < 0.001], Hispanic [OR = 2.967, 95% CI: 1.762, 4.995, p < 0.001], or earned $35,000-$74,999 [OR = 1.987, 95% CI: 1.255-3.152, p = 0.004]. We identified socio-demographic sub-groups of men at increased risk for comorbid depression and overweight or obesity. Examining intra-group differences among men of color will help clinicians and researchers to address more nuanced socio-demographic characteristics of groups of men who are more at risk for developing a chronic disease.

Association between Actual and Perceived Obesity Weaker among Black than White Children

Although actual obesity is expected to be associated with perceived overweight, some recent studies in adults have suggested that this link may be smaller for Blacks than Whites. It is unknown, however, whether the same trend holds for children or not. This study explored the heterogeneity of the association between actual and perceived obesity in a national sample of American children by race, gender, and their intersection. Health Behavior in School-Aged Children (HBSC), 2009–2010, is a national study of children 17 years or less in the United States. This analysis included a total number of 8860 children, including 6581 (74.28%) White and 2279 (25.72%) Black children. Actual obesity, defined as a body mass index (BMI) greater than 95% of the age- and gender-percentile, was the independent variable. Perceived overweight was the main outcome. We ran linear regression models with and without interaction terms between race, gender, and actual obesity. We also ran race- and gender-specific linear regression models. In the pooled sample, actual obesity was positively associated with perceived overweight. We found an interaction between race and obesity, suggesting stronger association between actual obesity and perceived overweight for White than Black children. Gender or intersection of race and gender did not alter the association between actual obesity and perceived overweight. The link between actual obesity and perceived overweight depends on race of the child. Inaccurately perceived weight may be one of many mechanisms behind the disproportionately higher rate of obesity burden among Black children in the United States. As perceived overweight plays a salient role for weight control behaviors, Black children with obesity may need some help to perceive themselves as obese. Training programs should target Blacks to increase the accuracy of their weight and body size evaluation and perception as an essential step for reducing the burden of obesity among Black children.

Secular and Religious Social Support Better Protect Blacks than Whites against Depressive Symptoms

Purpose: Although the protective effect of social support against depression is well known, limited information exists on racial differences in this association. The current study examined Black-White differences in the effects of religious and secular emotional social support on depressive symptoms in a national sample of older adults in the United States. Methods: With a longitudinal prospective design, the Religion, Aging and Health Survey, 2001⁻2004, followed 1493 Black (n = 734) and White (n = 759) elderly individuals (age 66 and older) for three years. Race, demographics (age and gender), socio-economics (education and marital status) and frequency of church attendance were measured at baseline in 2001. Secular social support, religious social support, chronic medical conditions and depressive symptoms [8- item Center for Epidemiological Studies-Depression scale (CES-D)] were measured in 2004. Multiple linear regression models were used for data analysis.

RESULTS

In the pooled sample, secular and religious social support were both protective against depressive symptoms, net of all covariates. Race interacted with secular (β = −0.62 for interaction) and religious (β = −0.21 for interaction) social support on baseline depressive symptoms (p < 0.05 for both interactions), suggesting larger protections for Blacks compared to Whites. In race-specific models, the regression weight for the effect of secular social support on depressive symptoms was larger for Blacks (β = −0.64) than Whites (β = −0.16). Conclusion: We found Black—White differences in the protective effects of secular and religious social support against depressive symptoms. Blacks seem to benefit more from the same level of emotional social support, regardless of its source, compared to Whites.

Perceived Discrimination and Binge Eating Disorder; Gender Difference in African Americans

Environmental stressors, such as perceived discrimination (PD), are linked to Binge Eating Disorder (BED). The current study investigated the association between PD and BED among African Americans, and the variation in such an association based on gender. Data of the National Survey of American Life (NSAL), 2001⁻2003, with a nationally-representative sample of African American adults, were used (n = 3516). The independent variable in the study was PD. The dependent variable was BED, measured using the Composite International Diagnostic Interview (CIDI). Socio-demographics (age, education, employment, and marital status) were covariates, and gender was the moderator variable. Survey logistic regressions with and without gender × PD interaction terms were used for data analysis. In the pooled sample, PD was associated with higher odds of BED, net of socio-demographic factors. Models also showed a significant gender × PD interaction term suggesting a stronger association between PD and BED for women, compared to men. Gender specific models showed an association between PD and BED among female, but not male, African Americans. Although a link may exist between PD and BED among African Americans, the magnitude of this association depends on gender, with a stronger association among females than males. This finding is in line with the literature that has shown gender-specific consequences of environmental stress for African Americans.

Blacks' Diminished Health Return of Family Structure and Socioeconomic Status; 15 Years of Follow-up of a National Urban Sample of Youth

The protective effect of family structure and socioeconomic status (SES) on physical and mental health is well established. There are reports, however, documenting a smaller return of SES among Blacks compared to Whites, also known as Blacks' diminished return. Using a national sample, this study investigated race by gender differences in the effects of family structure and family SES on subsequent body mass index (BMI) over a 15-year period. This 15-year longitudinal study used data from the Fragile Families and Child Wellbeing Study (FFCWS), in-home survey. This study followed 1781 youth from birth to age 15. The sample was composed of White males (n = 241, 13.5%), White females (n = 224, 12.6%), Black males (n = 667, 37.5%), and Black females (n = 649, 36.4%). Family structure and family SES (maternal education and income to need ratio) at birth were the independent variables. BMI at age 15 was the outcome. Race and gender were the moderators. Linear regression models were run in the pooled sample, in addition to race by gender groups. In the pooled sample, married parents, more maternal education, and income to need ratio were all protective against high BMI of youth at 15 years of age. Race interacted with family structure, maternal education, and income to need ratio on BMI, indicating smaller effects for Blacks compared to Whites. Gender did not interact with SES indicators on BMI. Race by gender stratified regressions showed the most consistent associations between family SES and future BMI for White females followed by White males. Family structure, maternal education, and income to need ratio were not associated with lower BMI in Black males or females. The health gain received from family economic resources over time is smaller for male and female Black youth than for male and female White youth. Equalizing access to economic resources may not be enough to eliminate health disparities in obesity. Policies should address qualitative differences in the lives of Whites and Blacks which result in diminished health returns with similar SES resources. Policies should address structural and societal barriers that hold Blacks against translation of their SES resources to health outcomes.

Identifying the Complexity of Multiple Risk Factors for Obesity Among Urban Latinas

The prevalence of obesity is rising rapidly among Hispanics/Latinas. We evaluated the prevalence of being obese or overweight and associated risk factors among 630 low-income, Latina women from ambulatory care clinics in Upper Manhattan. Overall, 37 % of the sample was overweight and 41 % of the sample was obese, and yet, almost half of women who are overweight considered their weight "just about right." After adjusting for socio-demographic, behavioral, and biological risk factors, being obese was strongly associated with having hypertension [relative risk ratio (RRR) 3.93, 1.75-8.82], pre-hypertension (RRR 2.59, 1.43-4.67), diabetes (RRR 2.50, 1.21-5.14) and moderate/moderately severe/severe depression (RRR 2.09, 1.03-4.26). Women who reported that finding time was a barrier to physical activity were also more likely to be obese (RRR 1.78, 1.04-3.02). Chronic financial stress was associated with lower risk of being overweight (RRR 0.47, 0.28-0.79) or obese (RRR 0.51, 0.31-0.86), as well as eating out at restaurants (RRR 0.75, 0.62-0.89). Opportunities for intervention relate to understanding cultural factors around perceptions of weight and helping women find the time for physical activity.

Unequal Gain of Equal Resources across Racial Groups

The health effects of economic resources (eg, education, employment, and living place) and psychological assets (eg, self-efficacy, perceived control over life, anger control, and emotions) are well-known. This article summarizes the results of a growing body of evidence documenting Blacks' diminished return, defined as a systematically smaller health gain from economic resources and psychological assets for Blacks in comparison to Whites. Due to structural barriers that Blacks face in their daily lives, the very same resources and assets generate smaller health gain for Blacks compared to Whites. Even in the presence of equal access to resources and assets, such unequal health gain constantly generates a racial health gap between Blacks and Whites in the United States. In this paper, a number of public policies are recommended based on these findings. First and foremost, public policies should not merely focus on equalizing access to resources and assets, but also reduce the societal and structural barriers that hinder Blacks. Policy solutions should aim to reduce various manifestations of structural racism including but not limited to differential pay, residential segregation, lower quality of education, and crime in Black and urban communities. As income was not found to follow the same pattern demonstrated for other resources and assets (ie, income generated similar decline in risk of mortality for Whites and Blacks), policies that enforce equal income and increase minimum wage for marginalized populations are essential. Improving quality of education of youth and employability of young adults will enable Blacks to compete for high paying jobs. Policies that reduce racism and discrimination in the labor market are also needed. Without such policies, it will be very difficult, if not impossible, to eliminate the sustained racial health gap in the United States.

The relation between obesity and depressed mood in a multi-ethnic population. The HELIUS study

PURPOSE

To examine the association between obesity and depressed mood in a large multi-ethnic population and check for consistency in this association across six ethnic groups.

METHODS

Data of 21,030 persons (18-70 years) were sourced from the HELIUS study. Cross-sectional relationships between obesity measures [body mass index (kg/m²) and waist circumference (cm)] and depressed mood (PHQ-9 score ≥ 10) were analysed. Consistency of associations was investigated across ethnic groups by interaction terms (ethnicity*obesity measures) in basic (age, sex, education) and fully (health behaviours and somatic health) adjusted models.

RESULTS

Obesity was prevalent in all ethnic groups, but varied substantially. After sociodemographic adjustment, obesity measures were associated with increased odds of depressed mood but this was inconsistent across ethnic groups. Obesity (BMI ≥ 30 or highest waist circumference quartile) was strongly and significantly associated with depressed mood in the Dutch [Odds Ratio (OR) = 1.72; 95% Confidence intervals (CI) 1.24-2.40, and OR = 1.86; 95% CI 1.38-2.50], respectively, and African Surinamese (OR = 1.60; 95% CI 1.29-1.98 and OR = 1.59; 95% CI 1.27-2.00, respectively) but had a weaker, non-significant association in other ethnic groups (South-Asian Surinamese, Ghanaian, Moroccan, Turkish groups). Adjustment for health behaviours and somatic health had limited effect on this pattern.

CONCLUSION

Obesity was associated with a higher risk of depressed mood. However, ethnic differences were found: the obesity-depressed mood association was strong in the Dutch and African Surinamese populations, but not in other ethnic groups. Future studies should explore whether differential normative values or pathophysiology across ethnic groups explain why the obesity-depression association is inconsistent across ethnic groups.

Income Gradient in Renal Disease Mortality in the United States

Background

Non-communicable diseases and associated mortality follow a social gradient and chronic kidney disease is not an exception to this rule. Intermediate behavioral and medical factors that may explain such social gradients are, however, still unknown.

Objectives

Using nationally representative data in the United States, this study was conducted to investigate the mediating effect of medical and behavioral risk factors on the association between socioeconomic status (SES) and renal disease mortality.

Patients and methods

Americans’ Changing Lives Study (ACL), 1986–2011, is a 25-year nationally representative prospective cohort study. ACL followed 3,361 adults for up to 25 years. Income, education, and unemployment were the main predictors of interest. Death due to renal disease was the main outcome. Health behaviors (smoking, drinking, and exercise) and medical risk factors (diabetes, hypertension, and obesity) were the mediators. Cox proportional hazards models were used for data analysis.

Results

Higher income (HR = 0.75; 95% CI = 0.62–0.89) was associated with lower risk of death due to renal disease over the 25-year follow-up period. Although health behaviors and medical risk factors at baseline were also predictors of the outcome, they failed to explain the effect of income on death due to renal disease. That is, income was associated with death due to renal disease above and beyond all potential mediators including behavioral and medical risk factors.

Conclusion

Socioeconomic inequalities in the United States cause disparities in renal disease mortality; however, such differences are not due to health behaviors (smoking and drinking) and medical risk factors (hypertension and diabetes). To reduce disparities in renal disease mortality in the United States, policies should go beyond health behaviors and medical risk factors. While programs should help low-income individuals maintain exercise and avoid smoking, reduction of income disparities should be regarded as a strategy for reduction of disparities in renal disease mortality. By increasing minimum pay and minimizing the income gap, we may reduce disparities in renal disease mortality.

Neuroticism Predicts Subsequent Risk of Major Depression for Whites but Not Blacks

Cultural and ethnic differences in psychosocial and medical correlates of negative affect are well documented. This study aimed to compare blacks and whites for the predictive role of baseline neuroticism (N) on subsequent risk of major depressive episodes (MDD) 25 years later. Data came from the Americans’ Changing Lives (ACL) Study, 1986–2011. We used data on 1219 individuals (847 whites and 372 blacks) who had data on baseline N in 1986 and future MDD in 2011. The main predictor of interest was baseline N, measured using three items in 1986. The main outcome was 12 months MDD measured using the Composite International Diagnostic Interview (CIDI) at 2011. Covariates included baseline demographics (age and gender), socioeconomics (education and income), depressive symptoms [Center for Epidemiologic Studies Depression Scale (CES-D)], stress, health behaviors (smoking and driking), and physical health [chronic medical conditions, obesity, and self-rated health (SRH)] measured in 1986. Logistic regressions were used to test the predictive role of baseline N on subsequent risk of MDD 25 years later, net of covariates. The models were estimated in the pooled sample, as well as blacks and whites. In the pooled sample, baseline N predicted subsequent risk of MDD 25 years later (OR = 2.23, 95%CI = 1.14–4.34), net of covariates. We also found a marginally significant interaction between race and baseline N on subsequent risk of MDD (OR = 0.37, 95% CI = 0.12–1.12), suggesting a stronger effect for whites compared to blacks. In race-specific models, among whites (OR = 2.55; 95% CI = 1.22–5.32) but not blacks (OR = 0.90; 95% CI = 0.24–3.39), baseline N predicted subsequent risk of MDD. Black-white differences in socioeconomics and physical health could not explain the racial differences in the link between N and MDD. Blacks and whites differ in the salience of baseline N as a psychological determinant of MDD risk over a long period of time. This finding supports the cultural moderation hypothesis and is in line with other previously reported black–white differences in social, psychological, and medical correlates of negative affect and depression.

Depressive Symptoms During Adolescence Predict Adulthood Obesity Among Black Females

AIM

This study aimed to investigate gender differences in the association between baseline depressive symptoms and subsequent changes in obesity in a sample of urban Black youth in the USA.

METHODS

The current study followed 681 Black youth (335 male and 346 female) for up to 18 years from 1994 to 2012. All youth were selected from an economically disadvantaged urban area in MI, USA. The main independent variable was baseline depressive symptoms measured in 1994. The main outcome was change in body mass index (BMI) from 1999 to 2012, calculated based on self-reported height and weight. Scio-demographics (age, number of parents in the household, and parental employment) were covariates. Gender was the focal moderator. We used linear regressions to test the predictive role of baseline depressive symptoms on change in BMI (from 1999 to 2012) in the pooled sample, and also based on gender.

RESULTS

Among Black females, but not Black males, baseline depressive symptoms predicted the BMI change from 1999 to 2012. The association remained significant for Black females after controlling for covariates.

CONCLUSION

High depressive symptoms at baseline better predict BMI change over the next decade for female than male Black youth. As a result, detection and reduction of depressive symptoms may be a vital element of obesity prevention programs for Black females. Policies and programs that address determinants of psychological distress as a strategy to prevent obesity among female Black youth in disadvantaged neighborhoods may be especially useful.

Gender and Ethnic Differences in the Association Between Body Image Dissatisfaction and Binge Eating Disorder among Blacks

BACKGROUND

The research on binge eating has overwhelmingly focused on Whites. We aimed to study gender and ethnic differences in the association between body image dissatisfaction and binge eating in a nationally representative sample of Black adults in the USA.

METHODS

This cross-sectional study used data from the National Survey of American Life (NSAL), 2003-2004. Self-identified Caribbean Black (n = 1621) and African American (3570) adults aged 18 and older were enrolled. The independent variable was body dissatisfaction measured with two items. Using the World Health Organization Composite International Diagnostic Interview (WHO-CIDI), outcome was lifetime binge eating without hierarchy according to the DSM-IV criteria. Covariates included age, socioeconomic factors (i.e., education and marital status), and body mass index. Ethnicity and gender were focal moderators. Logistic regressions were used for data analysis.

RESULTS

Despite comparable prevalence of lifetime binge eating (5 vs 4 %, p > 0.05), African Americans reported higher body image dissatisfaction than Caribbean Blacks (36 vs 29 %, p > 0.05). In the pooled sample, body dissatisfaction was a strong predictor of lifetime binge eating disorders. There was a significant interaction (p = 0.039) between ethnicity and body image dissatisfaction on binge eating, suggesting a stronger association between body image dissatisfaction and lifetime binge eating for Caribbean Blacks (OR = 11.65, 95 % 6.89-19.72) than African Americans (OR = 6.72, 95 % CI 3.97-11.37). Gender did not interact with body image dissatisfaction on binge eating.

CONCLUSION

Ethnic variation in the link between body image dissatisfaction and binge eating may be due to within-race cultural differences in body image between African Americans and Caribbean Blacks. This may include different definitions, norms, and expectations regarding the body size. Findings suggest that ethnicity may bias relevance of body image dissatisfaction as a diagnostic criterion for binge eating disorders among diverse populations of Blacks.

Life Expectancy Gain Due to Employment Status Depends on Race, Gender, Education, and Their Intersections

PURPOSE

Despite the well-established health effects of socioeconomic status (SES), SES resources such as employment may differently influence health outcomes across sub-populations. This study used a national sample of US adults to test if the effect of baseline employment (in 1986) on all-cause mortality over a 25-year period depends on race, gender, education level, and their intersections.

METHODS

Data came from the Americans' Changing Lives (ACL) study, which followed 2025 Whites and 1156 Blacks for 25 years from 1986 to 2011. The focal predictor of interest was baseline employment (1986), operationalized as a dichotomous variable. The main outcome of interest was time to all-cause mortality from 1986 to 2011. Covariates included baseline age, health behaviors (smoking, drinking, and exercise), physical health (obesity, chronic disease, function, and self-rated health), and mental health (depressive symptoms). A series of Cox proportional hazard models were used to test the association between employment and mortality risk in the pooled sample and based on race, gender, education, and their intersections.

RESULTS

Baseline employment in 1986 was associated with a lower risk of mortality over a 25-year period, net of covariates. In the pooled sample, baseline employment interacted with race (HR = .69, 95% CI = .49-.96), gender (HR = .73, 95% CI = .53-1.01), and education (HR = .64, 95% CI = .46-.88) on mortality, suggesting diminished protective effects for Blacks, women, and individuals with lower education, compared to Whites, men, and those with higher education. In stratified models, the association was significant for Whites (HR = .71, 95%CI = .59-.90), men (HR = .60, 95%CI = .43-.83), and individuals with high education (HR = .66, 95%CI = .50-.86) but not for Blacks (HR = .77, 95%CI = .56-1.01), women (HR = .88, 95%CI = .69-1.12), and those with low education (HR = .92, 95%CI = .67-1.26). The largest effects of employment on life expectancy were seen for highly educated men (HR = .50, 95%CI = .32-.78), White men (HR = .55, 95%CI = .38-.79), and highly educated Whites (HR = .63, 95%CI = .46-.84). The effects were non-significant for Black men (HR = 1.10, 95%CI = .68-1.78), Whites with low education (HR = 1.01, 95%CI = .67-1.51), and women with low education (HR = 1.06, 95%CI = .71-1.57).

CONCLUSION

In the USA, the health gain associated with employment is conditional on one's race, gender, and education level, along with their intersections. Blacks, women, and individuals with lower education gain less from employment than do Whites, men, and highly educated people. More research is needed to understand how the intersections of race, gender, and education alter health gains associated with socioeconomic resources.

The Link between Mastery and Depression among Black Adolescents; Ethnic and Gender Differences

PURPOSE

Although the link between depression and lower levels of mastery is well established, limited information exists on ethnic and gender differences in the association between the two. The current study investigated ethnic, gender, and ethnic by gender differences in the link between major depressive disorder (MDD) and low mastery in the United States.

METHODS

We used data from the National Survey of American Life-Adolescent supplement (NSAL-A), 2003-2004. In total, 1170 Black adolescents entered the study. This number was composed of 810 African-American and 360 Caribbean Black youth (age 13 to 17). Demographic factors, socioeconomic status (family income), mastery (sense of control over life), and MDD (Composite International Diagnostic Interview, CIDI) were measured. Logistic regressions were used to test the association between mastery and MDD in the pooled sample, as well as based on ethnicity and gender.

RESULTS

In the pooled sample, a higher sense of mastery was associated with a lower risk of MDD. This association, however, was significant for African Americans but not Caribbean Blacks. Similarly, among African American males and females, higher mastery was associated with lower risk of MDD. Such association could not be found for Caribbean Black males or females.

CONCLUSION

Findings indicate ethnic rather than gender differences in the association between depression and mastery among Black youth. Further research is needed to understand how cultural values and life experiences may alter the link between depression and mastery among ethnically diverse Black youth.

Low Family Support and Risk of Obesity among Black Youth: Role of Gender and Ethnicity

Most studies on the role of family environment in developing risk of obesity among youth have focused on parenting behaviors that are directly involved in energy balance in regional, non-representative White samples. Using a national sample of ethnically diverse Black youth, the current study tested the association between low family support and risk of obesity. We also tested the heterogeneity of this association based on gender, ethnicity, and their intersection. We used data from the National Survey of American Life-Adolescent Supplement (NSAL-A), a national survey of Black adolescents in the United States. The study enrolled 1170 African American and Caribbean Black 13-17 year old youth. Obesity was defined based on the cutoff points of body mass index (BMI) appropriate for age and gender of youth. Family support was measured using a five-item measure that captured emotional and tangible social support. Age, gender, and ethnicity were also measured. Logistic regressions were utilized in the pooled sample, and also based on gender, ethnicity, and their intersection, to test the link between low family support and risk for obesity.

RESULTS

In the pooled sample, low family support was not associated with an increased risk of obesity (OR = 1.35, 95% Confidence Interval (CI) = 0.96-1.89). The association between low family support and risk of obesity was, however, significant among African American females (OR = 1.60, 95% CI = 1.01-2.55). There was no association for African American males (OR = 1.26, 95% CI = 0.82-1.92), Caribbean Black males (OR = 0.68, 95% CI = 0.01-54.85), and Caribbean Black females (OR = 0.78, 95% CI = 0.42-1.44). In conclusion, policies and programs that enable African American families to provide additional family support may prevent obesity among African American female youth. Future research should test the efficacy of promoting family support as a tool for preventing obesity among African American female youth.

Diabetes, hypertension, obesity, and long-term risk of renal disease mortality: Racial and socioeconomic differences

AIMS/INTRODUCTION

Diabetes, hypertension, and obesity increase the risk of chronic kidney disease and associated mortality. Race and socioeconomic status (SES) differences in the effects of these risk factors are, however, still unknown. The current study aimed to investigate whether or not race and SES alter the effects of diabetes, hypertension, and obesity on mortality due to renal disease.

MATERIALS AND METHODS

Data came from the Americans' Changing Lives Study, 1986-2011, a nationally representative prospective cohort of adults with 25 years of follow up. The study included 3,361 adults aged 25 years and older who were followed for up to 25 years. The outcome was death from renal disease. Diabetes, hypertension, and obesity were the main predictors. Race and SES (education, income, and employment) were moderators. Health behaviors and health status at baseline were covariates. We used Cox proportional hazards models for data analysis.

RESULTS

In separate models, diabetes, hypertension, and obesity at baseline were associated with a higher risk of death from renal disease. From our SES indicators, education and income interacted with diabetes, hypertension, and obesity on death from renal disease. In a consistent pattern, diabetes, hypertension, and obesity showed stronger effects on the risk of death from renal disease among high-SES groups compared with low-SES individuals. Race and employment did not alter the effects of diabetes, hypertension and obesity on the risk of death from renal disease.

CONCLUSIONS

Social groups differ in how diabetes, hypertension, and obesity influence health outcomes over long-term periods. Elimination of disparities in renal disease mortality in the USA requires understanding of the complex and non-linear effects of socioeconomic and medical risk factors on health outcomes. Multidisciplinary programs and policies are required to reduce social inequality in renal disease burden caused by diabetes, hypertension, and obesity.

Reciprocal Associations between Depressive Symptoms and Mastery among Older Adults; Black-White Differences

Purpose: Although higher levels of depressive symptoms and lower levels of sense of mastery tend to be comorbid, limited information exists on racial differences in the longitudinal associations between the two over time. The current study compared Black and White American older adults for the longitudinal links between depressive symptoms and mastery in the United States. Methods: Using data from the Religion, Aging, and Health Survey, 2001-2004, this longitudinal cohort study followed 1493 Black (n = 734) and White (n = 759) elderly individuals (age 66 or more) for 3 years. Depressive symptoms [Center for Epidemiological Studies-Depression scale (CES-D), 8 items] and mastery (Pearlin Mastery Scale, 7 items) were measured in 2001 and 2004. Demographics, socio-economics, and physical health were covariates and race was the focal moderator. Multi-group structural equation modeling was used for data analysis, where groups were defined based on race. Results: Among White but not Black older adults, higher levels of depressive symptoms at baseline predicted a greater decline in sense of mastery over 3 years of follow-up. Similarly among Whites but not Blacks, individuals with lower mastery at baseline developed more depressive symptoms over time. Conclusion: Findings are indicative of Black-White differences in reciprocal associations between depressive symptoms and mastery over time. Race alters how depression is linked to changes in evaluation of self (e.g., mastery) over time.

Sustained Obesity and Depressive Symptoms over 6 Years: Race by Gender Differences in the Health and Retirement Study

Background: Although obesity and physical activity influence psychosocial well-being, these effects may vary based on race, gender, and their intersection. Using 6-year follow-up data of a nationally representative sample of adults over age of 50 in the United States, this study aimed to explore race by gender differences in additive effects of sustained high body mass index (BMI) and physical activity on sustained depressive symptoms (CES-D) and self-rated health (SRH).

Methods: Data came from waves 7, 8, and 10 (2004–2010) of the Health and Retirement Study (HRS), an ongoing national cohort started in 1992. The study enrolled a representative sample of Americans (n = 19,280) over the age of 50. Latent factors were used to calculate sustained high BMI and physical activity (predictors) and sustained poor SRH and high depressive symptoms (outcomes) based on measurements in 2004, 2006, and 2010. Age, education, and income were confounders. Multi-group structural equation modeling (SEM) was used to test the additive effects of BMI and physical activity on depressive symptoms and SRH, where the groups were defined based on race by gender.

Results: Group differences were apparent in the direction and significance of the association between sustained high BMI and depressive symptoms. The association between sustained high BMI and depressive symptoms was positive and significant for White women (B = 0.03, p = 0.007) and non-significant for White men (B = −0.03, p = 0.062), Black men (B = −0.02, p = 0.564) and Black women (B = 0.03, p = 0.110). No group differences were found in the paths from sustained physical activity to depressive symptoms, or from physical activity or BMI to SRH.

Conclusion: Sustained high BMI and high depressive symptoms after age 50 are positively associated only for White women. As the association between sustained health problems such as depression and obesity are not universal across race and gender groups, clinical and public health interventions and programs that simultaneously target multiple health problems may have differential effects across race by gender groups.

Perceived Neighborhood Safety Better Predicts Risk of Mortality for Whites than Blacks

AIM

The current study had two aims: (1) to investigate whether single-item measures of subjective evaluation of neighborhood (i.e., perceived neighborhood safety and quality) predict long-term risk of mortality and (2) to test whether these associations depend on race and gender.

METHODS

The data came from the Americans' Changing Lives Study (ACL), 1986-2011, a nationally representative longitudinal cohort of 3361 Black and White adults in the USA. The main predictors of interest were perceived neighborhood safety and perceived neighborhood quality, as measured in 1986 using single items and treated as dichotomous variables. Mortality due to all internal and external causes was the main outcome. Confounders included baseline age, socioeconomic status (education, income), health behaviors (smoking, drinking, and exercise), and health (chronic medical conditions, self-rated health, and depressive symptoms). Race and gender were focal effect modifiers. Cox proportional hazard models were ran in the pooled sample and stratified by race and gender.

RESULTS

In the pooled sample, low perceived neighborhood safety and quality predicted increased risk of mortality due to all causes as well as internal causes, net of all covariates. Significant interaction was found between race and perceived neighborhood safety on all-cause mortality, indicating a stronger association for Whites compared to Blacks. Race did not interact with perceived neighborhood quality on mortality. Gender also did not interact with perceived neighborhood safety or quality on mortality. Perceived neighborhood safety and quality were not associated with mortality due to external causes.

CONCLUSION

Findings suggest that single items are appropriate for the measurement of perceived neighborhood safety and quality. Our results also suggest that perceived neighborhood safety better predicts increased risk of mortality over the course of 25 years among Whites than Blacks.

Race by Gender Group Differences in the Protective Effects of Socioeconomic Factors Against Sustained Health Problems Across Five Domains

BACKGROUND

Despite the existing literature on the central role of socioeconomic status (SES; education and income) for maintaining health, less is known about group differences in this effect. Built on the intersectionality approach, this study compared race by gender groups for the effects of baseline education and income on sustained health problems in five domains: depressive symptoms, insomnia, physical inactivity, body mass index (BMI), and self-rated health (SRH).

METHODS

Data came from waves 7, 8, and 10 of the Health and Retirement Study (HRS), which were collected in 2004, 2006, and 2010, respectively. The study followed 37,495 white and black men and women above age 50 for up to 6 years. This number included 12,495 white men, 15,581 white women, 3839 black men, and 5580 black women. Individuals reported their depressive symptoms (Center for Epidemiological Studies-Depression (CES-D) 11), insomnia, physical inactivity, BMI, and SRH across all waves. Multigroup structural equation modeling (SEM) was used to compare black men, black women, white men, and white women for the effects of education and income in 2004 on sustained health problems from 2004 to 2010.

RESULTS

In the pooled sample, higher education and income at baseline were associated with lower sustained health problems across all five domains. However, race by gender group differences were found in the effects of education and income on sustained insomnia, physical inactivity, and BMI, but not depressive symptoms and SRH. The protective effects of education against insomnia, physical inactivity, and BMI were not found for black men. For black women, the effect of education on BMI was not found. Income had a protective effect against sustained high BMI among white and black women but not white and black men.

CONCLUSION

The intersection of race and gender alters the protective effects of social determinants on sustained health problems such as insomnia, physical inactivity, and BMI. Social groups particularly vary in the operant mechanisms by which SES contributes to maintaining health over time. The health effects are less universal for education than income. Race by gender groups differ more in SES determinants of BMI, insomnia, and physical inactivity than depressive symptoms and SRH.

Factors associated with body image dissatisfaction and distortion among Iranian women

The prevalence of body image dissatisfaction is considered high in both developed and developing countries. It has been shown that many factors affect the body image dissatisfaction. However, because of the economical and cultural differences, it seems that these affecting factors should be determined in each region. So, the present study was designed to evaluate the prevalence and associated factors with body image dissatisfaction and distortion among Iranian women. Body image perception was analyzed in 500 women through the Stunkard figure rating system. The International Physical Activity Questionnaire was used for assessing physical activity level. The information about age, marital status and socioeconomic status was recorded by general questionnaire. The one-way ANOVA and regression were used for statistical analysis. By increasing the BMI categories from underweight to obesity, participants tended to perceive their body size thinner than real body size. The regression models indicated that the body image distortion was significantly increased with increasing the BMI (p=0.002) and physical activity level (p=0.008). Besides, dissatisfaction by being heavier than ideal was significantly associated with higher BMI (OR (95% CI). 1.21 (1.03, 1.17)). Considering the high prevalence of body image dissatisfaction among Iranian women, for preventing psychological problems and eating disorders, appropriate public health programs for increasing awareness about healthy body size were needed.

Fear of Neighborhood Violence During Adolescence Predicts Development of Obesity a Decade Later: Gender Differences Among African Americans

BACKGROUND

African American youth are more likely than other racial and ethnic groups to be obese. African American youth are also more likely to live in disadvantaged neighborhoods which increase their victimization, observation, and fear of violence.

OBJECTIVES

This study tested if victimization, observation, and fear of violence in the neighborhood during adolescence predict trajectory of body mass index (BMI) in the 3rd decade of life in African Americans.

PATIENTS AND METHODS

Data came from an 18-year community-based cohort. We used multi-group latent growth curve modeling for data analysis, considering neighborhood violence at age 15 (i.e. victimization, observation, and fear) as predictors, and the linear slope for the average change in BMI from age 21 to 32 as the outcome, with age and socioeconomic status (i.e. intact family and parental employment) as covariates.

RESULTS

Fear of neighborhood violence at age 15 was predictive of an increase in BMI from age 21 to 32 among female but not male African Americans. Victimization and observation of violence at age 15 did not predict BMI change from age 21 to 32 among female or male African Americans.

CONCLUSIONS

Fear of neighborhood violence is a contributing factor to increased risk of obesity for female African American youth who live in disadvantaged areas. This finding has implications for prevention of obesity among African American women who are at highest risk for obesity in the United States. Initiatives that enhance neighborhood safety are critical strategies for obesity prevention among African American women.

Psychosocial Correlates of Body Mass Index in the United States: Intersection of Race, Gender and Age

BACKGROUND

Studies on the association between psychosocial factors and obesity have provided mixed findings.

OBJECTIVES

Current study used a nationally representative sample of U.S. adults to investigate how intersection of race, gender and age alters the psychosocial correlates of body mass index (BMI).

MATERIALS AND METHODS

Data came from the national health measurement study (NHMS), a cross-sectional study with nationally representative sample of Black and White (n = 3,648) adults ages 35 - 89. We tested bivariate correlations between BMI and physical and mental quality of life, purpose in life, number of chronic medical conditions, and discrimination across race × gender × age groups.

RESULTS

Higher purpose in life was associated with lower BMI among middle aged and older White women, middle aged Black men, middle aged Black women, and older Black women but not middle aged or older White men and older Black men. There was a positive association between multi-morbidity and BMI in all groups other than older White men. High BMI was associated with poor mental quality of life among older White women, older Black men and women, but not any of middle aged groups, and older White men. High BMI was associated with poor physical quality of life among all groups. Everyday discrimination was positively associated with BMI among older White women but not any other group. Lifetime discrimination was not associated with BMI among any of the groups.

CONCLUSIONS

Race, gender, and age shape psychosocial and health related correlates of BMI. There is a need for further research on group differences in psychosocial correlates of obesity.

Stressful Life Events and Risk of Depression 25 Years Later: Race and Gender Differences

BACKGROUND

Although stressful life events (SLEs) predict subsequent risk of developing a major depressive episode (MDE), limited information exists on whether or not race and gender alters the predictive role of SLE on risk of MDE over a long-term period. The current study explored race and gender differences in the long-term predictive role of SLE at baseline (1986) on subsequent risk of MDE 25 years later (2011) in a nationally representative cohort in the United States.

METHODS

Using a life course epidemiological approach, this longitudinal study borrowed data from the Americans' Changing Lives (ACL) Study 1986-2011. Main predictor of interest was baseline SLE over the last 3 years measured at 1986. Main outcome was risk of MDE [Composite International Diagnostic Interview (CIDI)] 25 years later (2011). Covariates included demographics, socioeconomics, depressive symptoms [Center for Epidemiological Studies-Depression Scale (CES-D)], chronic medical conditions, and health behaviors measured at baseline (1986). Gender and race were the focal moderators. We employed logistic regressions in the pooled sample, and specific to race and gender, to test whether or not SLE × race and SLE × gender interactions are significant.

RESULTS

In the pooled sample, baseline SLE (1986) predicted risk of MDE 25 years later (2011). We also found a gender by SLE interaction, suggesting a stronger predictive role of SLE for subsequent clinical depression for men compared to women. Race did not modify the predictive role of SLE on subsequent risk of MDE 25 years later.

CONCLUSION

How SLE predicts MDE 25 years later differs for men and women, with a stronger predictive role for men compared to women. More research is needed to better understand the complex links between gender, sex, stress, and depression.

Race, Depressive Symptoms, and All-Cause Mortality in the United States

PURPOSE

Despite the well-established association between baseline depressive symptoms and risk of all cause-mortality, limited information exists on racial differences in the residual effects of baseline depressive symptoms above and beyond socioeconomic status (SES) and physical health on this link. The current study compared Blacks and Whites for the residual effects of depressive symptoms over SES and health on risk of long-term all-cause mortality in the U.S.

METHODS

Data were obtained from the Americans' Changing Lives Study, a nationally representative longitudinal cohort of U.S. adults with up to 25 years of follow-up. The study followed 3,361 Blacks and Whites for all-cause mortality between 1986 and 2011. The main predictor of interest was baseline depressive symptoms measured at 1986 using an 11-item Center for Epidemiological Studies-Depression scale. Covariates included baseline demographics (age and gender), SES (education and income), and health [chronic medical conditions (CMCs), self-rated health (SRH), and body mass index (BMI)] measured at 1986. Race (Black versus White) was the focal moderator. We ran a series of Cox proportional hazard models in the pooled sample and also stratified by race.

RESULTS

In the pooled sample, higher depressive symptoms at baseline were associated with higher risk of all-cause mortality except when the CMC, SRH, and BMI were added to the model. In this later model, race interacted with baseline depressive symptoms, suggesting a larger effect of depressive symptoms on mortality among Whites compared to Blacks. Among Whites, depressive symptoms were associated with increased risk of mortality, after controlling for SES but not after controlling for health (CMC, SRH, and BMI). Among Blacks, depressive symptoms were not associated with mortality before health was introduced to the model. After controlling for health, baseline depressive symptoms showed an inverse association with all-cause mortality among Blacks. Although the effect of baseline depressive symptoms on mortality disappeared after controlling for health among Whites, SRH did not interfere (confound) with the effect of depressive symptoms on mortality among Blacks.

CONCLUSION

The effect of depressive symptoms on increased risk of all-cause mortality, which existed among Whites, could not be found for Blacks. In addition, race may modify the roles that SES and health play regarding the link between depressive symptoms and mortality over a long period of time.

Distal, intermediate, and proximal mediators of racial disparities in renal disease mortality in the United States

Background: Kidney failure and associated mortality is one of the major components of racial disparities in the United States.

Objectives: The current study aimed to investigate the role of distal (socioeconomic status, SES), intermediate (chronic medical diseases), and proximal (health behaviors) factors that may explain Black-White disparities in mortality due to renal diseases.

Patients and Methods: This is a nationally representative prospective cohort with 25 years of follow up. Data came from the Americans’ Changing Lives (ACL) study, 1986 to 2011. The study included 3361 Black (n = 1156) or White (n = 2205) adults who were followed for up to 25 years. Race was the main predictor and death due to renal disease was the outcome. SES, chronic medical disease (diabetes, hypertension, obesity), and health behaviors (smoking, drinking, and exercise) at baseline were potential mediators. We used Cox proportional hazards models for data analysis.

Results: In age and gender adjusted models, Blacks had higher risk of death due to renal disease over the follow up period. Separate models suggested that SES, health behaviors and chronic medical disease fully explained the effect of race on renal disease mortality.

Conclusions: Black-White disparities in rate of death due to renal diseases in the United States are not genuine but secondary to racial differences in income, health behaviors, hypertension, and diabetes. As distal, intermediate, and proximal factors contribute to racial disparities in renal disease mortality, elimination of such disparities requires a wide range of policies and programs that target income, medical conditions, and health behaviors.

Mediating Effect of Perceived Overweight on the Association between Actual Obesity and Intention for Weight Control; Role of Race, Ethnicity, and Gender

Background:

Although obesity is expected to be associated with intention to reduce weight, this effect may be through perceived overweight. This study tested if perceived overweight mediates the association between actual obesity and intention to control weight in groups based on the intersection of race and gender. For this purpose, we compared Non-Hispanic White men, Non-Hispanic White women, African American men, African American women, Caribbean Black men, and Caribbean Black women.

Methods:

National Survey of American Life, 2001–2003 included 5,810 American adults (3516 African Americans, 1415 Caribbean Blacks, and 879 Non-Hispanic Whites). Weight control intention was entered as the main outcome. In the first step, we fitted race/gender specific logistic regression models with the intention for weight control as outcome, body mass index as predictor and sociodemographics as covariates. In the next step, to test mediation, we added perceived weight to the model.

Results:

Obesity was positively associated with intention for weight control among all race × gender groups. Perceived overweight fully mediated the association between actual obesity and intention for weight control among Non-Hispanic White women, African American men, and Caribbean Black men. The mediation was only partial for Non-Hispanic White men, African American women, and Caribbean Black women.

Conclusions:

The complex relation between actual weight, perceived weight, and weight control intentions depends on the intersection of race and gender. Perceived overweight plays a more salient role for Non-Hispanic White women and Black men than White men and Black women. Weight loss programs may benefit from being tailored based on race and gender. This finding also sheds more light to the disproportionately high rate of obesity among Black women in US.

The Association Between Obesity and Weight Loss Intention Weaker Among Blacks and Men than Whites and Women

INTRODUCTION

Although obesity is associated with weight loss intention, the magnitude of this association may differ across various populations. Using a nationally representative data of the United States, this study tested the variation of the association between obesity and weight loss intention based on race and gender.

METHODS

Data came from the National Survey of American Life (NSAL), 2001-2003, which enrolled 5,810 nationally representative sample of adults (3,516 African Americans, 1,415 Caribbean Blacks, and 879 Non-Hispanic Whites). Socio-demographics, body mass index (BMI), and weight loss intention were measured. We fitted logistic regression models in the pooled sample with weight loss intention as outcome, obesity (BMI > 30) as predictor, while the effect of covariates were controlled. To test our moderation hypotheses, we entered race * obesity and gender * obesity interactions to the model.

RESULTS

Although the association between obesity and weight loss intention was significant among both race and gender groups, the magnitude of the association between obesity and weight loss intention was larger for women than men and Whites than Blacks. That means individuals with obesity have less intention for weight loss if they are Black or men.

CONCLUSION

The link between obesity and weight loss intention depends on race and gender. Weight loss intention may not increase in response to obesity among Blacks and men, compared to Whites and women. Healthy weight programs in the United States may benefit from tailoring based on race and gender.

Gender and Ethnic Differences in the Association Between Obesity and Depression Among Black Adolescents

AIM

This study aimed to investigate the association between obesity and major depression disorder (MDD) in a nationally representative sample of Black adolescents in the USA. The study also tested the effects of ethnicity and gender as possible moderators.

METHOD

Data came from the National Survey of American Life (NSAL)-Adolescents, a representative household mental health survey of Black adolescents in the USA. Participants consisted of 1170 Black adolescents (810 African Americans and 360 Caribbean Blacks). Obesity was defined determined by the cutoff points based on the body mass index (BMI) appropriate for age and gender. Twelve-month MDD was measured using the World Mental Health Composite International Diagnostic Interview (CIDI). In the first step, the association between obesity and MDD in the pooled sample, controlling for the main effects of gender and ethnicity. In the next steps, two interactions were tested: (1) obesity and ethnicity and (2) obesity and gender.

RESULTS

Although any associations between obesity and MDD in the pooled sample of Blacks were not found, there was a significant interaction between ethnicity and obesity on MDD. Upon testing the associations across intersections of ethnicity and gender, a positive association was found among Caribbean Black females but not Caribbean Black males, African American males, or African American female.

CONCLUSION

The link between BMI and MDD among Blacks depends on ethnicity and gender, and risk of comorbid depression among Black youth with obesity is highest among Caribbean Black females.

Anxiety, depression, and cigarette smoking: a transdiagnostic vulnerability framework to understanding emotion-smoking comorbidity

Research into the comorbidity between emotional psychopathology and cigarette smoking has often focused upon anxiety and depression's manifest symptoms and syndromes, with limited theoretical and clinical advancement. This article presents a novel framework to understanding emotion-smoking comorbidity. We propose that transdiagnostic emotional vulnerabilities-core biobehavioral traits reflecting maladaptive responses to emotional states that underpin multiple types of emotional psychopathology-link various anxiety and depressive psychopathologies to smoking. This framework is applied in a review and synthesis of the empirical literature on 3 transdiagnostic emotional vulnerabilities implicated in smoking: (a) anhedonia (Anh; diminished pleasure/interest in response to rewards), (b) anxiety sensitivity (AS; fear of anxiety-related sensations), and (c) distress tolerance (DT; ability to withstand distressing states). We conclude that Anh, AS, and DT collectively (a) underpin multiple emotional psychopathologies, (b) amplify smoking's anticipated and actual affect-enhancing properties and other mechanisms underlying smoking, (c) promote progression across the smoking trajectory (i.e., initiation, escalation/progression, maintenance, cessation/relapse), and (d) are promising targets for smoking intervention. After existing gaps are identified, an integrative model of transdiagnostic processes linking emotional psychopathology to smoking is proposed. The model's key premise is that Anh amplifies smoking's anticipated and actual pleasure-enhancing effects, AS amplifies smoking's anxiolytic effects, and poor DT amplifies smoking's distress terminating effects. Collectively, these processes augment the reinforcing properties of smoking for individuals with emotional psychopathology to heighten risk of smoking initiation, progression, maintenance, cessation avoidance, and relapse. We conclude by drawing clinical and scientific implications from this framework that may generalize to other comorbidities.

A 9-year, bidirectional prospective analysis of depressive symptoms and adiposity: the African American Health Study

OBJECTIVE

Depression may be a predictor and consequence of obesity. However, available evidence for racial minorities has been inconsistent, and more prospective studies are needed. Thus, this study's objective was to examine whether depressive symptom severity is a predictor and/or consequence of total adiposity over a 9-year period in a representative sample of late middle-aged African-Americans.

METHODS

A total of 410 participants (aged 49-65 years; baseline) in the prospective cohort African American Health study were examined. Depressive symptom severity was assessed with the Center for Epidemiologic Studies-Depression Scale (CES-D). Total body fat percent (BF%) and body mass index (BMI; kg/m(2) ) were assessed. Structural equation models were tested.

RESULTS

All model fit statistics, other than χ(2) , indicated good fit (RMSEA ≤ 0.058, SRMR ≤ 0.052, CFI ≥ 0.95). Baseline CES-D did not predict 9-year changes in BF% (β = -0.01, P = 0.78) or BMI (β = -0.01, P = 0.77). Baseline BF% (β = 0.05, P = 0.39) and BMI (β = 0.08, P = 0.095) did not predict 9-year change in CES-D.

CONCLUSIONS

Depressive symptom severity was not a predictor or consequence of excess total adiposity in late middle-aged African-American adults. Including a depression module in obesity prevention and treatment programs specifically designed for late middle-aged African-Americans may not have a beneficial effect on obesity outcomes.

The effect of a "maintain, don't gain" approach to weight management on depression among black women: results from a randomized controlled trial

OBJECTIVES

We evaluated the effect of a weight gain prevention intervention (Shape Program) on depression among socioeconomically disadvantaged overweight and obese Black women.

METHODS

Between 2009 and 2012, we conducted a randomized trial comparing a 12-month electronic health-based weight gain prevention intervention to usual primary care at 5 central North Carolina community health centers. We assessed depression with the Patient Health Questionnaire (PHQ-8). We analyzed change in depression score from baseline to 12- and 18-month follow-up across groups with mixed models. We used generalized estimating equation models to analyze group differences in the proportion above the clinical threshold for depression (PHQ-8 score ≥ 10).

RESULTS

At baseline, 20% of participants reported depression. Twelve-month change in depression scores was larger for intervention participants (mean difference = -1.85; 95% confidence interval = -3.08, -0.61; P = .004). There was a significant reduction in the proportion of intervention participants with depression at 12 months with no change in the usual-care group (11% vs 19%; P = .035). All effects persisted after we controlled for weight change and medication use. We saw similar findings at 18 months.

CONCLUSIONS

The Shape Program, which includes no mention of mood, improved depression among socioeconomically disadvantaged Black women.

Depressive symptoms are associated with obesity in adults with heart failure: An analysis of gender differences

BACKGROUND

Depression is a predictor and consequence of obesity in the general population. Up to 50% of patients with heart failure exhibit elevated depressive symptoms or depressive disorders; however, research on the depression-obesity relationship in heart failure populations is limited, especially in regard to gender differences.

AIMS

To conduct total-sample and gender-stratified analyses to determine whether depressive symptoms are associated with body mass index (BMI) in a sample of patients with heart failure.

METHOD

Participants were 348 (39% female, 26% non-White) patients with heart failure (aged 68.7±9.7 years) recruited from urban medical centers. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Height and weight were used to compute BMI (kg/m(2)). Regressions were performed for total sample and both genders. Regressions for BMI were run with demographic, medical, and psychological covariates in Step 1 and the PHQ-9 in Step 2.

RESULTS

Regression results (total sample) revealed that the PHQ-9 was associated with BMI after adjusting for covariates (β=.22, p=.004). For males, the relationship between PHQ-9 and BMI remained (β=.23, p=.024) and was driven by those with severe obesity (BMI ≥ 40 kg/m(2)). A trend between PHQ-9 and BMI was detected among females (β=.19, p=.091).

CONCLUSION

BMI is related to depressive symptoms in adults with heart failure even after adjusting for demographic and medical covariates. Depressive symptoms were associated with BMI in males, whereas a trend was detected among females. These findings could ultimately be used to improve heart failure outcomes for depressed, obese individuals with heart failure.

Depressive symptoms in Chinese-American subjects with cognitive impairment

OBJECTIVES

To compare the prevalence of depressive symptoms and frequency of antidepressant use between a group of elderly Chinese-American subjects with and without cognitive impairment and a group of matched white subjects. A secondary aim was to examine the clinical and demographic predictors of depressive symptoms across these groups.

METHODS

The study was conducted at an academic neurology subspecialty clinic. This was a case-control study with 140 Chinese-American subjects and 140 demographically and cognitively matched white subjects. In each group, there were 48 cognitively normal and 92 cognitively impaired participants (49 with mild cognitive impairment, 43 with Alzheimer disease). The proportion of individuals with significant depressive symptoms, as indicated by a Geriatric Depression Scale score ≥6 of 15, and frequency of antidepressant use were compared across groups by using χ(2) analysis. Factors predicting depressive symptoms, including racial and diagnostic group, age, gender, Mini-Mental State Examination score, level of functional impairment, education level, and medical comorbidities, were assessed by using linear regression analysis.

RESULTS

Significant depressive symptoms were more common in cognitively impaired Chinese-American (35%) than cognitively impaired white (15%; χ(2)[1] = 9.4; p = 0.004) subjects. Chinese-American subjects with cognitive impairment were less likely to be receiving treatment for depression (12%) than white subjects with cognitive impairment (37%; χ(2)[1] = 15.6; p = 0.002). Racial and diagnostic group, age, level of functional impairment, Mini-Mental State Examination score, and education level were all statistically significant independent predictors of Geriatric Depression Scale score.

CONCLUSIONS

Elderly Chinese-American subjects with cognitive impairment are at increased risk for unrecognized and untreated depressive symptoms compared with elderly white subjects with cognitive impairment. Education level may contribute to this risk or it may be a surrogate marker for other factors contributing to depressive symptoms in this group.

Additive Effects of Anxiety and Depression on Body Mass Index among Blacks: Role of Ethnicity and Gender

BACKGROUND

Most studies on mental health associates of obesity have focused on depression and less is known about the role of anxiety in obesity.

OBJECTIVES

This study compared the additive effects of General Anxiety Disorder (GAD) and Major Depressive Disorder (MDD) on Body Mass Index (BMI) across sub-populations of Blacks based on the intersection of ethnicity and gender.

METHODS

Data came from the National Survey of American Life (NSAL), 2001 - 2003. The participants consisted of 3,570 African Americans and 1,621 Caribbean Blacks. Twelve-month MDD and GAD were determined using the World Mental Health Composite International Diagnostic Interview (CIDI). Levels of BMI were categorized based on being equal to or larger than 25, 30, 35, and 40 kg/m(2). We fitted linear regression models specific for our groups, which were defined based on the intersection of ethnicity and gender. Additionally, age, education, marital status, employment, and region were controlled.

RESULTS

Among Caribbean Black men and African American women, lifetime GAD, but not MDD, was associated with high BMI. Among Caribbean Black women, lifetime MDD, but not GAD, was associated with high BMI.

CONCLUSIONS

Intersection of ethnicity and gender may determine how anxiety and depression are associated with BMI among Blacks. Sub-populations of Blacks (e.g. based on ethnicity and gender) may have specific mental health determinants or consequences of obesity. Future research should investigate how and why the additive effects of anxiety and depression on obesity vary across ethnic and gender groups of Blacks.

Community resource utilization, psychosocial health, and sociodemographic factors associated with diet and physical activity among low-income obese Latino immigrants

Low-socioeconomic-status (SES) Latinos are disproportionately represented among the 78 million obese Americans. Tailored behavioral weight-loss interventions show promise, but there is limited adaptation to lower-SES Latino immigrants. This study provides guidance for tailoring obesity-reduction strategies for this population by evaluating food security, educational community resource utilization, education level, depression, sex, and length of US residence as predictors of diet and physical activity. The cross-sectional study used baseline data collected in July 2009 through September 2010 for a weight-loss trial among lower-SES obese (body mass index 30 to 55) Latino immigrants who were enrolled at a community health clinic (n=207). Physical activity was measured using 7-day pedometer recording. Dietary intake was measured using an interviewer-administered food frequency questionnaire. Factors assessed by questionnaire included education community resource use (nutrition and physical activity classes), education level, US residence (years), food security, and depressive symptoms. Data were analyzed using multivariate-adjusted linear regression models. More than one third of participants were sedentary (<5,000 steps/day), and 41% had low fruit and vegetable intake (<5 servings/day). In multivariate-adjusted models, educational community resource use, male sex, less education, fewer depressive symptoms, and shorter US residence time were associated with more physical activity (all, P ≤ 0.05). Educational community resource use was positively associated with fruit and vegetable intake (P=0.05). Male sex was associated with more sweet-beverage intake (P=0.02) and fast-food intake (P=0.04). Fewer depressive symptoms were associated with lower sweet-beverage intake (P=0.05). In conclusion, obesity-reduction strategies among low-SES Latino immigrants might effectively emphasize educational community resource use and interventions tailored for psychosocial and sociodemographic characteristics.

Racial and ethnic differences in the association between obesity and depression in women

BACKGROUND

It is generally accepted that obesity and depression are positively related in women. Very little prior research, however, has examined potential variation in this relationship across different racial/ethnic groups. This paper examines the association between obesity and depression in non-Hispanic White, non-Hispanic Black, and Mexican American women.

METHODS

The sample included women aged 20 years and older in the 2005-2008 National Health and Nutrition Examination Surveys (n=3666). Logistic regression was used to assess the relationship between obesity and depression syndrome (assessed using the Patient Health Questionnaire-9), after adjusting for covariates. We then investigated whether this association varied by race/ethnicity.

RESULTS

Overall, obese women showed a 73% greater odds of depression (odds ratio [OR]=1.73; 95% confidence interval [CI]=1.19, 2.53) compared with normal weight women. This association varied significantly, however, by race/ethnicity. The obesity-depression associations for both Black and Mexican American women were different from the positive association found for White women (ORBlack*obese=0.24; 95% CI=0.10,0.54; ORMexican American*obese=0.42; 95% CI=1.04). Among White women, obesity was associated with significantly greater likelihood of depression (OR=2.37; 95% CI=1.41, 4.00) compared to normal weight. Among Black women, although not statistically significant, results are suggestive that obesity was inversely associated with depression (OR=0.56; 95% CI=0.28, 1.12) relative to normal weight. Among Mexican American women, obesity was not associated with depression (OR=1.01; 95% CI=0.59, 1.72).

CONCLUSIONS

The results reveal that the association between obesity and depression varies by racial/ethnic categorization. White, but not Black or Mexican American women showed a positive association. Next research steps could include examination of factors that vary by race/ethnicity that may link obesity to depression.

Differential effects of chronic social stress and fluoxetine on meal patterns in mice

Both chronic stress and antidepressant medications have been associated with changes in body weight. In the current study, we investigate mechanisms by which stress and antidepressants interact to affect meal patterns. A group of mice was subjected to the chronic social defeat stress model of major depression followed by fluoxetine treatment and was subsequently analyzed for food intake using metabolic cages. We report that chronic social defeat stress increases food intake by specifically increasing meal size, an effect that is reversed by fluoxetine treatment. In an attempt to gain mechanistic insight into changes in meal patterning induced by stress and fluoxetine, fasting serum samples were collected every 4h over a 24-h period, and acyl-ghrelin, leptin, and corticosterone levels were measured. Chronic stress induces a peak in acyl-ghrelin levels just prior to the onset of the dark phase, which is shifted in mice treated with fluoxetine. Taken together, these results indicate that stress increases food intake by decreasing satiation, and that fluoxetine can reverse stress-induced changes in meal patterns.