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Area-level neighborhood socioeconomic status (NSES) is often measured without consideration of spatial autocorrelation and variation. In this paper, we compared a non-spatial NSES measure to a spatial NSES measure for counties in the USA using principal component analysis and geographically weighted principal component analysis (GWPCA), respectively. We assessed spatial variation in the loadings using a Monte Carlo randomization test. The results indicated that there was statistically significant variation (p = 0.004) in the loadings of the spatial index. The variability of the census variables explained by the spatial index ranged from 60 to 90%. We found that the first geographically weighted principal component explained the most variability in the census variables in counties in the Northeast and the West, and the least variability in counties in the Midwest. We also tested the two measures by assessing the associations with county-level diabetes prevalence using data from the CDC's US Diabetes Surveillance System. While associations of the two NSES measures with diabetes did not differ for this application, the descriptive results suggest that it might be important to consider a spatial index over a global index when constructing national county measures of NSES. The spatial approach may be useful in identifying what factors drive the socioeconomic status of a county and how they vary across counties. Furthermore, we offer suggestions on how a GWPCA–based NSES index may be replicated for smaller geographic scopes. [ABSTRACT FROM AUTHOR]

An association between problem drinking and depression among HIV-infected individuals has been previously demonstrated; however, which specific risky drinking behaviors are associated with higher levels of depression has not yet been investigated. Using an adult sample of HIV-infected primary care patients (78% male, 94% Black or Hispanic), we investigated whether depressive symptoms are associated with various risky drinking behaviors. Participants were administered the Beck Depression Inventory-II to assess depressive symptoms, and the Alcohol Use Disorders and Associated Disabilities Interview Schedule-IV to evaluate alcohol involvement. Participants with depressive symptoms (26%) were at higher risk for alcohol dependence [adjusted odds ratio (AOR) 3.8; 95% CI 2.0-7.2], regular binge drinking (AOR 2.0; 95% CI 1.1-3.8), and regular daytime drinking (AOR 2.1; 95% CI 1.2-3.8), in comparison with their non-depressed counterparts. Because both depression and unhealthy drinking negatively affect medication adherence and clinical outcomes, a better understanding of the association between depression and certain risky drinking behaviors among HIV-infected individuals is vital to improving their care and prognoses. [ABSTRACT FROM AUTHOR]