Article

Anxiety, mood, and substance use disorders in United States African-American public housing residents.

Department of Community and Preventive Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA.
Social Psychiatry (Impact Factor: 2.58). 10/2011; 46(10):983-92. DOI: 10.1007/s00127-010-0267-2
Source: PubMed

ABSTRACT African-Americans experience considerable mental healthcare disparities in the United States, but little is known about sensitive subgroups within this population. To better understand healthcare disparities within African-Americans communities, we characterized anxiety, mood, and substance use disorder prevalence and associated service utilization among public and non-public housing residents.
We used data from a nationally representative sample of African-Americans recruited as part of the National Survey of American Life.
In public housing residents, the 12-month prevalence of anxiety disorders was 1.8 times higher than in non-public housing residents (P = 0.002), mood disorders was 1.4 times higher (P = 0.189), and substance use disorders was 2.2 times higher (P = 0.031). Public housing remained associated with mental illness after controlling for sociodemographics and chronic illness. Public and non-public housing residents did not differ significantly in mental healthcare utilization, but utilization was low with 16-30% of public housing residents with a 12-month disorder receiving mental health assistance.
A relatively high proportion of African-American public housing residents suffered from psychiatric disorders, and few received mental healthcare assistance, indicating that further work is needed to enhance utilization.

Download full-text

Full-text

Available from: Yeates Conwell, Mar 30, 2015
0 Followers
 · 
117 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Findings from previous studies have not revealed significant, inverse relationships between socioeconomic position (SEP) and depression among African Americans. This study examined the relationship between multiple indicators of SEP and Major Depressive Episode (MDE) among African Americans. Data were drawn from the National Survey of American Life main interview and re-interview. MDE, at both 12 month and lifetime intervals, was assessed using the World Mental Health version of the Composite International Diagnostic Interview. Logistic regression models were adjusted for demographics. For 12-month MDE, household income and unemployment predicted greater odds of MDE among African American men, while there was an inverse relationship between education and 12-month MDE. Only unemployment was significantly associated with lifetime MDE among African American men. For African American women, a significant inverse relationship between household income and 12-month MDE was observed. Findings garnered from this study indicate that it is important to consider multiple measures of SEP in the prediction of depression among African Americans, and that the pattern of association between SEP and depression varies according to sex. Considering the paucity of studies that have explored the relationship between SEP and depression, additional research is needed to more firmly establish the relationship between SEP and depression. It is also important to consider stressors that may affect the relationship between SEP and depression among African Americans.
    Social Psychiatry 02/2011; 47(3):373-81. DOI:10.1007/s00127-011-0348-x · 2.58 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: The relative prevalence of common mental health problems among different ethnic groups in Britain is one of the least researched topics in health variations research. We calculate and compare income-related inequalities in common mental disorders among ethnic groups in Britain. Data from a nationally representative survey of ethnic minorities (the EMPIRIC survey) were used to calculate concentration index values to indicate the extent of income-related inequalities within and across ethnic groups. Looking at income-related inequalities in common mental disorders within each of the ethnic groups, it was found that the burden of these disorders were greater for the lower income groups among the Irish, White and African Caribbean communities. Within-group inequality was less clearly defined for each of the three Asian communities: Indian, Bangladeshi and Pakistani. However, when the data were pooled and individuals were assigned income ranks in the pooled set (not within their own ethnic group), the relative position of those in lower income groups among the different groups was striking. The poor among the Bangladeshi, Pakistani and the African Caribbean groups clearly suffered both from low income and a greater burden of mental health morbidity than the other three groups. The effect of lower income is thus worse for the mental health of populations if they are African Caribbean, Pakistani or Bangladeshi than if they are White, Irish or Indian. Inequality in mental health morbidity between and within ethnic groups is at least partly linked to income, and thus to employment and education. Tackling disadvantage and discrimination in these areas could help to tackle the challenge of mental ill-health.
    Social Psychiatry 02/2011; 47(3):351-9. DOI:10.1007/s00127-011-0345-0 · 2.58 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: ABSTRACTBackground: Anxiety and depression are common in older adult public housing residents and frequently co-occur. To understand anxiety and depression more fully in this socioeconomically disadvantaged population, this study relies on the Social Antecedent Model of Psychopathology to characterize anxiety and depression symptoms concurrently.Methods: 190 public housing residents aged 60 years and older in Rochester, New York, participated in a research interview during which they reported on variables across the six stages of the Social Antecedent Model. GAD-7 and PHQ-9 assessed anxiety and depression symptoms, respectively.Results: In these older adult residents, anxiety and depression symptom severity scores were correlated (r = 0.61; p < 0.001). Correlates of anxiety and depression symptom severity were similar for both outcomes and spanned the six stages of the Social Antecedent Model. Multivariate linear regression models identified age, medical comorbidity, mobility, social support, maladaptive coping, and recent life events severity as statistically significant correlates. The regression models accounted for 43% of anxiety and 48% of depression symptom variability.Conclusions: In public housing residents, late-life anxiety and depression symptoms were moderately correlated. Anxiety symptom severity correlates were largely consistent with those found for depression symptom severity. The broad distribution of correlates across demographic, social, medical, and behavioral domains suggests that the context of late-life anxiety and depression symptomatology in public housing is complex and that multidisciplinary collaborative care approaches may be warranted in future interventions.
    International Psychogeriatrics 10/2011; 24(04):1-10. DOI:10.1017/S1041610211001979 · 1.89 Impact Factor