12-month Major Depressive Disorder Research Articles

Mental health in midwifery students: A French nationwide survey

BackgroundPoor mental health in health students is a major public health issue, impacting personal quality of life and functioning, curriculum and care quality to patients. ProblemFew studies to date have examined mental health in midwifery students. AimTo evaluate the midwifery students'mental health. MethodsAn online cross-sectional survey was performed between 02/11/2023 and 11/12/2023. Anonymous questionnaires were sent to midwife students via academic emails by all midwife faculties in France. We assessed the prevalence of current depressive symptoms, current generalised anxiety symptoms, burnout for students in internship, 12-month major depressive disorder and 12-month suicidal ideation, humiliation, sexual harassment, and sexual aggression during their curriculum with specific questions. Multivariate logistic regression was performed to identify the main factors associated with major depressive disorder and suicidal ideation. FindingsAmong midwifery students, 1920 (response rate: 51.9 %) were included. The prevalences of current depressive symptoms, anxiety symptoms, burnout, 12-month major depressive disorder, and 12-month suicidal ideation were 62 %, 47 %, 44 %, 13 % and 14 %, respectively. Humiliation, sexual harassment and sexual aggression were reported by 19 %, 1.8 % and 0.7 %, respectively. In multivariable analyses, having important financial difficulties and sexual violence were associated with higher rates of major depressive episodes and suicidal ideation. Discussion>1 in 10 students suffered from 12-month depression and/or suicidal ideation, and almost half of them expressed various distressing symptoms. ConclusionThese alarming results highlighted the need for interventions to improve mental health in midwifery students, including safer conditions of education and living.

Use of service and treatment adequacy in medical students and residents suffering from depression in France: A nationwide study

Depression was already a public health issue before the Covid-19 pandemic. Use of service and treatment adequacy in medical students was poorly known. A 2021 French national study found the prevalence of 12-month major depressive disorder (MDD) was 25 % in medical school students and residents (MSSR). The main objective of our study was to measure the prevalence of service use and adequate treatment (therapy and/or recommended pharmacotherapy) and their associated factors. A national online survey was conducted in 2021. The Composite International Diagnostic Interview Short-Form questionnaire was used to assess MDD; 12-months service use and pharmacotherapy were assessed. Univariate and multivariate logistic regressions were performed between students' demographic characteristics, use of services, and treatment adequacy. Among included MSSR who experienced MDD in the last 12 months, only 32 % received adequate treatment, including 20 % with recommended pharmacotherapy. Being more advanced in medical studies and being treated both by a general practitioner and a psychiatrist were associated with receiving recommended pharmacotherapy. To our knowledge, our study is the largest to assess use of service and treatment adequacy in MSSR. Given the low percentage of depressed students receiving recommended treatment, it seems important to develop new interventions to better detect and treat MDD in MSSR.

Preexisting depression and COVID-19: a cohort study on the risk of susceptibility and hospitalization

BackgroundDepression can have negative effects on a person’s physical health. However, the available evidence on the risk of susceptibility to COVID-19 and its adverse outcomes in people with mental disorders, including depression, is limited and inconsistent. Therefore, we investigated the relationship between major depressive disorder (MDD) and the risk of susceptibility to COVID-19 infection and hospitalization. The data used in the study were obtained from the Employees’ Health Cohort Study of Iran (EHCSIR).MethodsWe conducted a cohort study that included 3355 participants who had complete data on major depressive disorder at baseline assessment and two annual telephone follow-ups between January 2020 and March 2022. Trained psychologists used the Persian version of the Composite International Diagnostic Interview (CIDI-2.1) to identify major depressive disorders during the baseline assessment. We applied log binomial regression models to adjust for sociodemographic factors and background health conditions.ResultsWe found that 11.4% of participants had lifetime MDD and 7.3% had MDD in the past 12 months. During the pandemic, 26.1% of participants were infected with COVID-19, and 14.4% of those who were infected were hospitalized. The risk of susceptibility to COVID-19 infection was significantly higher among participants with lifetime MDD than among those without MDD (adjusted risk ratio (ARR) = 1.24, 95% CI: 1.06–1.47). However, lifetime MDD or 12-month MDD was not independently associated with hospitalization among COVID-19 cases.ConclusionsPreexisting major depressive disorder may increase the risk of susceptibility to COVID-19.

Alcohol use as a predictor of the course of major depressive disorder: a prospective population-based study.

There are indications that problematic alcohol use may negatively impact the course of major depressive disorder (MDD). However, most studies on alcohol use and adverse MDD outcomes are conducted amongst MDD populations with (severe) alcohol use disorder in psychiatric treatment settings. Therefore, it remains unclear whether these results can be generalised to the general population. In light of this, we examined the longitudinal relationship between alcohol use and MDD persistence after a 3-year follow-up amongst people with MDD from the general population. Data were derived from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2), a psychiatric epidemiological prospective study comprising four waves amongst the adult Dutch general population (n = 6.646). The study sample (n = 642) consisted of those with 12-month MDD who participated at the follow-up wave. The outcome was 12-month MDD persistence after the 3-year follow-up, which was assessed via the Composite International Diagnostic Interview version 3.0. Weekly alcohol consumption was operationalised as non-drinking (0 drinks), low-risk drinking (⩽7 drinks; reference), at-risk drinking (women 8-13 drinks, men 8-20 drinks) and high-risk drinking (women ⩾14, men ⩾21 drinks). We performed univariate and multiple logistic regression analyses, which were adjusted for various socio-demographic and health-related factors. The majority (67.4%) of the MDD sample were female, while the mean age was 47.1 years. Amongst these, 23.8% were non-drinkers, 52.0% were low-risk drinkers and 14.3% and 9.4% were at-risk and high-risk drinkers, respectively. Around one-quarter of the sample (23.6%) met the criteria for a persistent MDD after 3-year follow-up. No statistically significant association was found between alcohol use and MDD persistence, either for the crude model or the adjusted models. In comparison to low-risk drinking, the full adjusted model showed no statistically significant associations between MDD persistence and non-drinking (odds ratio (OR) = 1.15, p = 0.620), at-risk drinking (OR = 1.25, p = 0.423), or high-risk drinking (OR = 0.74, p = 0.501). Contrary to our expectations, our findings showed that alcohol use was not a predictor of MDD persistence after 3-year follow-up amongst people with MDD from the general population.

Determinants of effective treatment coverage for major depressive disorder in the WHO World Mental Health Surveys

BackgroundMost individuals with major depressive disorder (MDD) receive either no care or inadequate care. The aims of this study is to investigate potential determinants of effective treatment coverage.MethodsIn order to examine obstacles to providing or receiving care, the type of care received, and the quality and use of that care in a representative sample of individuals with MDD, we analyzed data from 17 WHO World Mental Health Surveys conducted in 15 countries (9 high-income and 6 low/middle-income). Of 35,012 respondents, 3341 had 12-month MDD. We explored the association of socio-economic and demographic characteristics, insurance, and severity with effective treatment coverage and its components, including type of treatment, adequacy of treatment, dose, and adherence.ResultsHigh level of education (OR = 1.63; 1.19, 2.24), private insurance (OR = 1.62; 1.06, 2.48), and age (30–59yrs; OR = 1.58; 1.21, 2.07) predicted effective treatment coverage for depression in a multivariable logistic regression model. Exploratory bivariate models further indicate that education may follow a dose—response relation; that people with severe depression are more likely to receive any services, but less likely to receive adequate services; and that in low and middle-income countries, private insurance (the only significant predictor) increased the likelihood of receiving effective treatment coverage four times.ConclusionsIn the regression models, specific social determinants predicted effective coverage for major depression. Knowing the factors that determine who does and does not receive treatment contributes to improve our understanding of unmet needs and our ability to develop targeted interventions.

Prevalence and correlates of suicidal behaviours in a representative epidemiological youth sample in Hong Kong: the significance of suicide-related rumination, family functioning, and ongoing population-level stressors.

Young people are most vulnerable to suicidal behaviours but least likely to seek help. A more elaborate study of the intrinsic and extrinsic correlates of suicidal ideation and behaviours particularly amid ongoing population-level stressors and the identification of less stigmatising markers in representative youth populations is essential. Participants (n = 2540, aged 15-25) were consecutively recruited from an ongoing large-scale household-based epidemiological youth mental health study in Hong Kong between September 2019 and 2021. Lifetime and 12-month prevalence of suicidal ideation, plan, and attempt were assessed, alongside suicide-related rumination, hopelessness and neuroticism, personal and population-level stressors, family functioning, cognitive ability, lifetime non-suicidal self-harm, 12-month major depressive disorder (MDD), and alcohol use. The 12-month prevalence of suicidal ideation, ideation-only (no plan or attempt), plan, and attempt was 20.0, 15.4, 4.6, and 1.3%, respectively. Importantly, multivariable logistic regression findings revealed that suicide-related rumination was the only factor associated with all four suicidal outcomes (all p < 0.01). Among those with suicidal ideation (two-stage approach), intrinsic factors, including suicide-related rumination, poorer cognitive ability, and 12-month MDE, were specifically associated with suicide plan, while extrinsic factors, including coronavirus disease 2019 (COVID-19) stressors, poorer family functioning, and personal life stressors, as well as non-suicidal self-harm, were specifically associated with suicide attempt. Suicide-related rumination, population-level COVID-19 stressors, and poorer family functioning may be important less-stigmatising markers for youth suicidal risks. The respective roles played by not only intrinsic but also extrinsic factors in suicide plan and attempt using a two-stage approach should be considered in future preventative intervention work.

Depressive disorders are associated with increased peripheral blood cell deformability: a cross-sectional case-control study (Mood-Morph)

Pathophysiological landmarks of depressive disorders are chronic low-grade inflammation and elevated glucocorticoid output. Both can potentially interfere with cytoskeleton organization, cell membrane bending and cell function, suggesting altered cell morpho-rheological properties like cell deformability and other cell mechanical features in depressive disorders. We performed a cross-sectional case-control study using the image-based morpho-rheological characterization of unmanipulated blood samples facilitating real-time deformability cytometry (RT-DC). Sixty-nine pre-screened individuals at high risk for depressive disorders and 70 matched healthy controls were included and clinically evaluated by Composite International Diagnostic Interview leading to lifetime and 12-month diagnoses. Facilitating deep learning on blood cell images, major blood cell types were classified and morpho-rheological parameters such as cell size and cell deformability of every individual cell was quantified. We found peripheral blood cells to be more deformable in patients with depressive disorders compared to controls, while cell size was not affected. Lifetime persistent depressive disorder was associated with increased cell deformability in monocytes and neutrophils, while in 12-month persistent depressive disorder erythrocytes deformed more. Lymphocytes were more deformable in 12-month major depressive disorder, while for lifetime major depressive disorder no differences could be identified. After correction for multiple testing, only associations for lifetime persistent depressive disorder remained significant. This is the first study analyzing morpho-rheological properties of entire blood cells and highlighting depressive disorders and in particular persistent depressive disorders to be associated with increased blood cell deformability. While all major blood cells tend to be more deformable, lymphocytes, monocytes, and neutrophils are mostly affected. This indicates that immune cell mechanical changes occur in depressive disorders, which might be predictive of persistent immune response.

Prevalence and correlates of major depressive disorder among a national sample of middle-aged and older adults in India

Objectives: This study aimed to assess the prevalence and correlates of major depressive disorder (MDD) among middle-age and older adults in India. Methods: The cross-sectional sample consisted of 72,262 persons (45 years and older) from the 2017 to 2018 Longitudinal Ageing Study in India (LASI) Wave 1. MDD is defined using DSM-5 criteria and measured with the CIDI-SF. Logistic regression was used to evaluate the associations with MDD. Results: The prevalence of past 12-month MDD was 7.6%, 8.1% among women and 7.0% among men, and 8.2% in persons 60 years and older. In the final adjusted model, food insecurity, having 3–6 discrimination experiences, ill-treatment, victim of violent crime, disaster exposure, unsafe home/neighbourhood, poor childhood health, hypertension, stroke, tobacco use, and physical pain were positively associated with MDD. Being male, married, high socioeconomic status, living in urban areas, high spirituality/religiosity, health insurance and medium social network were negatively associated with MDD. Conclusion: Almost one in ten middle-aged and older adults in India had MDD and several associated factors were identified.

The association of depressive symptoms with disability among adults in China

BackgroundThe symptoms that patients with major depressive disorder (MDD) experience are the dominant contributing factors to its heavy disease burden. This study sought to identify key symptoms leading to disability in patients with MDD. MethodsSubjects consisted of patients who had a 12-month MDD diagnosis based on the China Mental Health Survey (CMHS). World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) was used to assess the degree of disability. The associations between depressive symptoms and disability were analyzed using a linear regression and logistic regression with a complex sampling design. ResultsOf the 32,552 community residents, 655 patients were diagnosed with 12-month MDD. The disability rate due to MDD was 1.06% (95% CI: 0.85%–1.28%) among adults in Chinese community and 50.7% (95% CI: 44.3%–57.1%) among MDD patients. Depression was associated with all functional losses measured by the WHODAS. Feelings of worthlessness in life or inappropriate guilt, and psychomotor agitation or retardation were the key symptoms related to disability. Economic status, co-morbidity of physical diseases or anxiety disorders were correlates of disability scores. LimitationsThe disability rate might be underestimated due to the exclusion of MDD patients living in hospitals. The effect of treatments on disability was excluded. ConclusionsPsychological symptoms, not somatic symptoms, contribute to disability in MDD patients. Disability worsens when physical diseases or anxiety disorders are present. More attention could be paid to psychological symptoms, physical diseases, and anxiety disorders in MDD patients with disabilities.

The effect of physical activity on the association between perceived racial discrimination and depression in African Americans

Background: The purpose of this cross-sectional study was to examine the effect of physical activity (PA) on the relationship between perceived racial discrimination and major depressive disorder (MDD) in African Americans. Methods: 645 African Americans (mean age 45 years) were interviewed on their perceived racial discrimination, PA, and past 12-month MDD. Participants were categorized into tertiles (lower, middle, upper) of racial discrimination as well as “active” or “inactive” groups based on the US PA guidelines. Odds ratios and 95% confidence intervals (CIs) were calculated for MDD prevalence across discrimination tertiles stratified by PA group after adjusting for potential confounders. Results: The upper (higher) discrimination group had 2.99 (95% CIs 1.03-8.67) increased odds of MDD compared with the lower group after adjusting for potential confounders. The stratified analysis indicated that the increased odds of MDD in the upper discrimination group were observed only among the inactive group (5.19 [1.08-24.87]) after adjusting for age and sex. The association between discrimination and MDD was not significant among active participants. Limitations: Limitations include generalizability since participants were predominantly women and recruited solely from Iowa or Georgia; the low number of MDD cases in some groups; and that causation cannot be inferred from this cross-sectional study. Conclusion: Not meeting the PA guidelines may be associated with higher depression among African Americans experiencing higher levels of perceived racial discrimination.

Major depressive disorder subtypes and depression symptoms in multiple sclerosis: What is different compared to the general population?

ObjectiveTo compare and characterize major depressive disorder (MDD) subtypes (i.e., pure atypical, pure melancholic and mixed atypical-melancholic) and depression symptoms in persons with multiple sclerosis (PwMS) with persons without MS (Pw/oMS) fulfilling the DSM-5 criteria for a past 12-month MDD. MethodsMDD in PwMS (n = 92) from the Swiss Multiple Sclerosis Registry was compared with Pw/oMS (n = 277) from a Swiss community-based study. Epidemiological MDD diagnoses were based on the Mini-SPIKE (shortened form of the Structured Psychopathological Interview and Rating of the Social Consequences for Epidemiology). Logistic and multinomial regression analyses (adjusted for sex, age, civil status, depression and severity) were computed for comparisons and characterization. Latent class analysis (LCA) was conducted to empirically identify depression subtypes in PwMS. ResultsPwMS had a higher risk for the mixed atypical-melancholic MDD subtype (OR = 2.22, 95% CI = 1.03–4.80) compared to Pw/oMS. MDD in PwMS was specifically characterized by a higher risk of the two somatic atypical depression symptoms ‘weight gain’ (OR = 6.91, 95% CI = 2.20–21.70) and ‘leaden paralysis’ (OR = 3.03, 95% CI = 1.35–6.82) and the symptom ‘irritable/angry’ (OR = 3.18, 95% CI = 1.08–9.39). ConclusionsMDD in PwMS was characterized by a higher risk for specific somatic atypical depression symptoms and the mixed atypical-melancholic MDD subtype. The pure atypical MDD subtype, however, did not differentiate between PwMS and Pw/oMS. Given the high phenomenological overlap with MS symptoms, the mixed atypical-melancholic MDD subtype represents a particular diagnostic challenge.

Maltreatment during childhood and risk for common mental disorders among first year university students in South Africa

PurposeChildhood maltreatment elevates risk for common mental disorders (CMDs) during late adolescence and adulthood. Although CMDs are highly prevalent among university students, few studies have examined the relationship between childhood maltreatment and 12 month CMDs in a low- to middle-income countries. This paper describes the prevalence of maltreatment and the relationship between type, number and patterns of maltreatment exposure and 12 month CMDs among first-year university students in South Africa.MethodsMaltreatment and CMD data were collected via well-validated self-report scales (corresponding with DSM-IV diagnoses) in a web-based survey of first-year students from two large urban universities (n = 1290) in South Africa. Various multivariate modelling approaches (additive, restrictive interactive and latent class) were used to examine the relationship between maltreatment and CMDs.ResultsOverall, 48.4% of participants reported childhood maltreatment, the most common type being emotional abuse (26.7%). Regardless of the modelling approach used, emotional abuse was the only type of maltreatment independently associated with 12-month diagnoses of major depressive disorder (MDD), generalised anxiety disorder (GAD) or drug use disorder (DUD) even after adjusting for types and number of types of maltreatment. Similarly, students in the latent class reflecting histories of emotional abuse (either alone or combined with physical abuse) were more likely to meet criteria for 12-month MDD, GAD or DUD.ConclusionFindings confirm the high prevalence of childhood maltreatment among South African students. As this exposure elevates risk for MDD, GAD and DUD, interventions aimed at preventing and treating CMDs among first-year students should address experiences of childhood maltreatment.Electronic supplementary materialThe online version of this article (10.1007/s00127-020-01992-9) contains supplementary material, which is available to authorized users.

Previous disorders and depression outcomes in individuals with 12-month major depressive disorder in the World Mental Health surveys.

Major depressive disorder (MDD) is characterised by a recurrent course and high comorbidity rates. A lifespan perspective may therefore provide important information regarding health outcomes. The aim of the present study is to examine mental disorders that preceded 12-month MDD diagnosis and the impact of these disorders on depression outcomes. Data came from 29 cross-sectional community epidemiological surveys of adults in 27 countries (n = 80 190). The Composite International Diagnostic Interview (CIDI) was used to assess 12-month MDD and lifetime DSM-IV disorders with onset prior to the respondent's age at interview. Disorders were grouped into depressive distress disorders, non-depressive distress disorders, fear disorders and externalising disorders. Depression outcomes included 12-month suicidality, days out of role and impairment in role functioning. Among respondents with 12-month MDD, 94.9% (s.e. = 0.4) had at least one prior disorder (including previous MDD), and 64.6% (s.e. = 0.9) had at least one prior, non-MDD disorder. Previous non-depressive distress, fear and externalising disorders, but not depressive distress disorders, predicted higher impairment (OR = 1.4-1.6) and suicidality (OR = 1.5-2.5), after adjustment for sociodemographic variables. Further adjustment for MDD characteristics weakened, but did not eliminate, these associations. Associations were largely driven by current comorbidities, but both remitted and current externalising disorders predicted suicidality among respondents with 12-month MDD. These results illustrate the importance of careful psychiatric history taking regarding current anxiety disorders and lifetime externalising disorders in individuals with MDD.

Social support from friends and depression among African Americans: The moderating influence of education

BackgroundThis cross-sectional study examined the association between various characteristics of friendships and 12-month major depressive disorder (MDD) and whether these associations vary by education level among African Americans. MethodsThe analytic sample included 3434 African American respondents drawn from the National Survey of American Life: Coping with Stress in the 21st Century. Logistic regression analyses were performed to test the associations between friendship characteristics (i.e., frequency of contact, subjective closeness, receipt of support, provision of support) and 12-month MDD. Interaction terms between education and each of the four friendship variables were used to test whether these associations varied by education level. Analyses adjusted for sociodemographic factors and chronic health problems. ResultsFrequency of contact and subjective closeness were negatively associated with 12-month MDD. An interaction between education and contact indicated that contact was negatively associated with MDD among high education respondents but unrelated to MDD among low education respondents. The interactions between education and receipt of support and education and provision of support demonstrated that receipt and provision of support were negatively associated with MDD among high education respondents but was positively associated with MDD among low education respondents. LimitationsGiven the cross-sectional design, it is not possible to make causal inferences. ConclusionThis investigation provides an important first step to understanding within-group differences in how social relationships function as both a risk and protective factor for MDD among African Americans.

Time trends in depression prevalence and health-related correlates: results from population-based surveys in Germany 1997\u20131999 vs. 2009\u20132012

BackgroundAlthough an “epidemic” of depression is frequently claimed, empirical evidence is inconsistent, depending on country, study design and depression assessment. Little is known about changes in depression over time in Germany, although health insurance companies report frequency increases. Here we examined time trends in depression prevalence, severity and health-related correlates in the general population.MethodsData were obtained from the mental health module of the “German Health Interview and Examination Survey for Adults” (2009–2012, n = 3265) and the mental health supplement of the “German National Health Interview and Examination Survey 1998” (1997–1999, n = 4176), excluding respondents older than 65. 12-month major depressive disorder (MDD), severity and symptoms were assessed based on the WHO Composite International Diagnostic Interview. Health-related quality of life (SF-36), self-reported sick days or days with limitations in normal daily life activities were examined, too. Calculations were carried out population-weighted. Additional age-standardized analyses were conducted to account for demographic changes.ResultsOverall, MDD 12-month prevalence remained stable at 7.4%. Women showed a shifted age distribution with increased prevalence at younger ages, and increasing MDD severity. Time trends in health-related correlates occurred both in participants with and without MDD. Mental health disability increased over time, particularly among men with MDD, reflected by the mental component score of the SF-36 and days with activity limitation due to mental health problems. Demographic changes had a marginal impact on the time trends.ConclusionsIn contrast to the ongoing international debate regarding increased depression rates in western countries, we found no increase in overall MDD prevalence in Germany over a long period. In conclusion, increased depression frequencies in national health insurance data and growing health care costs associated with depression are not attributable to overall prevalence changes at a population level. However, shifted age distribution and increased severity among women may reflect a rising depression risk within this specific subgroup, and changes in health-related correlates indicate a growing mental health care need for depression, particularly among men.

Bipolar features in major depressive disorder: Results from the Iranian mental health survey (IranMHS)

BackgroundPast research suggests that individuals suffering from depressive disorders with bipolar features might have different clinical outcomes resembling bipolar disorders. The objectives of this study are to determine the prevalence of bipolar features among individuals meeting the criteria for 12-month major depressive disorder (MDD) in the Iranian population and to examine the demographic and clinical characteristics associated with these features. MethodsData were drawn from the Iranian Mental Health Survey (IranMHS), a representative household survey of the Iranian population aged 15–64 years. The study sample consisted of all individuals with a 12-month MDD (n = 1014) ascertained by the Composite International Diagnostic Interview (CIDI 2.1) without a lifetime history of bipolar I or II disorders. Mood Disorder Questionnaire (MDQ) was used to screen for the lifetime history of bipolar features among participants with MDD. ResultsAmong participants meeting the 12-month MDD criteria, 22.1% (95% CI: 19.6–24.7) had a lifetime history of bipolar features. Compared with those without these features, participants with bipolar features had higher odds of endorsing suicidal ideations and suicide attempts, comorbid anxiety and substance use disorders, severe impairment, history of psychotic symptoms, some features of atypical depression and fewer depressive symptoms. Associations with comorbid anxiety disorders [Odds Ratio (OR) = 1.43; 95% confidence interval (CI): 1.00–2.03] and history of psychotic symptoms (OR = 2.63 95% CI: 1.81–3.81) persisted in multivariable models. LimitationRelying on self-reports of lifetime bipolar symptoms which is open to recall bias, and cross-sectional study design which limits interpretation of outcome and course of MDD are two major limitations of this study. ConclusionThe presence of bipolar features is associated with a distinct demographic and clinical profile in MDD. Identifying these cases would enhance the homogeneity of the depressive disorder phenotype in general population surveys. Identifying MDD patients with these features has potential clinical implications.

High Income Protects Whites but Not African Americans against Risk of Depression.

Background: Built on the Blacks’ diminished return theory, defined as smaller effects of socioeconomic status (SES) on a wide range of health outcomes for African Americans compared to Whites, the current study compared African Americans and Whites for the association between household income and risk of lifetime, 12-month, and 30-day major depressive disorder (MDD). Methods: For the current cross-sectional study, we used data from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001–2003. With a nationally representative sampling, CPES included 4746 non-Hispanic African Americans and 7587 non-Hispanic Whites. The dependent variables were lifetime, 12-month, and 30-day MDD, measured using Composite International Diagnostic Interview (CIDI). The independent variable was household income. Age, gender, education, chronic medical conditions, and obesity were covariates. Race was the focal moderator. Logistic regression models were used to test the protective effects of household income against MDD in the overall sample and also by race. Results: In the overall sample, household income was inversely associated with the risk of 12-month and 30-day MDD. We found a significant interaction between race and household income on 12-month and 30-day MDD, suggesting a smaller protective effect of household income against MDD for African Americans compared to Whites. Conclusion: In line with the Blacks’ diminished return theory, household income better protects Whites than African Americans against MDD. The contribution of diminished return of SES as an underlying mechanism behind racial disparities in health in the United States is often overlooked. Additional research is needed on why and how SES resources generate smaller health gain among minority groups.

Subjective Socioeconomic Status Moderates the Association between Discrimination and Depression in African American Youth.

Background: Most of the literature on the association between socioeconomic status (SES) and health is focused on the protective effects of SES. However, a growing literature suggests that high SES may also operate as a vulnerability factor. Aims: Using a national sample of African American youth, this study compared the effects of perceived discrimination on major depressive disorder (MDD) based on SES. Methods: The current cross-sectional study included 810 African American youth who participated in the National Survey of American Life-Adolescent supplement. The independent variable was perceived discrimination. Lifetime, 12-month, and 30-day MDD were the dependent variables. Age and gender were covariates. Three SES indicators (subjective SES, income, and poverty index) were moderators. We used logistic regressions for data analysis. Results: Perceived discrimination was associated with higher risk of lifetime, 12-month, and 30-day MDD. Interactions were found between subjective SES and perceived discrimination on lifetime, 12-month, and 30-day MDD, suggesting a stronger effect of perceived discrimination in youth with high subjective SES. Objective measures of SES (income and poverty index) did not interact with perceived discrimination on MDD. Conclusion: While perceived discrimination is a universally harmful risk factor for MDD, its effect may depend on the SES of the individual. Findings suggest that high subjective SES may operate as a vulnerability factor for African American youth.

Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States

No US national data are available on the prevalence and correlates of DSM-5-defined major depressive disorder (MDD) or on MDD specifiers as defined in DSM-5. To present current nationally representative findings on the prevalence, correlates, psychiatric comorbidity, functioning, and treatment of DSM-5 MDD and initial information on the prevalence, severity, and treatment of DSM-5 MDD severity, anxious/distressed specifier, and mixed-features specifier, as well as cases that would have been characterized as bereavement in DSM-IV. In-person interviews with a representative sample of US noninstitutionalized civilian adults (≥18 years) (n = 36 309) who participated in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III (NESARC-III). Data were collected from April 2012 to June 2013 and were analyzed in 2016-2017. Prevalence of DSM-5 MDD and the DSM-5 specifiers. Odds ratios (ORs), adjusted ORs (aORs), and 95% CIs indicated associations with demographic characteristics and other psychiatric disorders. Of the 36 309 adult participants in NESARC-III, 12-month and lifetime prevalences of MDD were 10.4% and 20.6%, respectively. Odds of 12-month MDD were significantly lower in men (OR, 0.5; 95% CI, 0.46-0.55) and in African American (OR, 0.6; 95% CI, 0.54-0.68), Asian/Pacific Islander (OR, 0.6; 95% CI, 0.45-0.67), and Hispanic (OR, 0.7; 95% CI, 0.62-0.78) adults than in white adults and were higher in younger adults (age range, 18-29 years; OR, 3.0; 95% CI, 2.48-3.55) and those with low incomes ($19 999 or less; OR, 1.7; 95% CI, 1.49-2.04). Associations of MDD with psychiatric disorders ranged from an aOR of 2.1 (95% CI, 1.84-2.35) for specific phobia to an aOR of 5.7 (95% CI, 4.98-6.50) for generalized anxiety disorder. Associations of MDD with substance use disorders ranged from an aOR of 1.8 (95% CI, 1.63-2.01) for alcohol to an aOR of 3.0 (95% CI, 2.57-3.55) for any drug. Most lifetime MDD cases were moderate (39.7%) or severe (49.5%). Almost 70% with lifetime MDD had some type of treatment. Functioning among those with severe MDD was approximately 1 SD below the national mean. Among 12.9% of those with lifetime MDD, all episodes occurred just after the death of someone close and lasted less than 2 months. The anxious/distressed specifier characterized 74.6% of MDD cases, and the mixed-features specifier characterized 15.5%. Controlling for severity, both specifiers were associated with early onset, poor course and functioning, and suicidality. Among US adults, DSM-5 MDD is highly prevalent, comorbid, and disabling. While most cases received some treatment, a substantial minority did not. Much remains to be learned about the DSM-5 MDD specifiers in the general population.

High Risk of Depression in High-Income African American Boys.

Despite the well-established literature on the protective effect of socioeconomic status (SES) on physical and mental health, there are a few reports on poor mental health of blacks with high SES. Using a national sample, this study investigated the association between household income and risk of major depressive disorder (MDD) in black youth based on ethnicity, gender, and their intersection. One thousand one hundred seventeen black adolescents (810 African Americans and 360 Caribbean blacks) were included in the current study. Household income was the main predictor. MDD (lifetime, 12-month, and 30-day) was the main outcome. Age was the covariate. Ethnicity and gender were the focal moderators. Logistic regressions were used for data analysis. In the pooled sample, household income was not associated with risk of MDD (lifetime, 12-month, or 30-day). We found significant interactions between income and gender on lifetime and 12-month MDD, suggesting a stronger protective effect of income on MDD for females than males. We also found significant interaction between income and ethnicity on 30-day MDD, suggesting stronger protective effect of income against MDD for Caribbean blacks than African Americans. In African American males, high household income was associated with higher risk of lifetime, 12-month, and 30-day MDD. For Caribbean black males and females, high household income was associated with lower odds of 30-day MDD. Findings suggest that ethnicity and gender influence how socioeconomic resources such as income are associated with MDD risk among black youth. Higher household income may be associated with higher risk of MDD for African American males.