Purpose: This study investigated the association between current and past cigarette smoking, with four domains of well-being, namely, physical quality of life, mental quality of life, depressive symptoms, and self-rated health status (SRH), among older African American adults who lived in economically impoverished areas of South Los Angles. Methods: This community-based cross-sectional study included a convenience sample of economically-disadvantaged African Americans adults (n = 740) who were 55 years old and older residing in South Los Angeles. We conducted in-depth face-to-face interviews to collect data on the socioeconomic status (level of education and fiscal pressures), demographic factors (age and gender), physical health (number of chronic medical conditions), smoking (never smokers (reference group), past smokers, and current smokers), and well-being (quality of life, depressive symptoms, and self-rated health). Linear regressions were used to analyze the data. Results: Over 21% reported that they are current smokers, compared with 31% who identified as former smokers. Almost 40% perceived the quality of their health status to be fair or poor. Compared with non-smokers, current cigarette smokers reported a worse physical quality of life, depressive symptoms, and self-rated health. Current smokers also reported a marginally worse mental quality of life.
Background: It is known that depression remains largely untreated in underserved communities. Hence, it is desirable to gain more knowledge on the prevalence and correlates of untreated depression among African-American (AA) older adults in economically disadvantaged areas. This knowledge may have the public health benefit of improving detection of AA older adults with depression who are at high risk of not receiving treatment, thereby reducing this health disparity. Objective: To study health and social correlates of untreated depression among AA older adults in economically disadvantaged areas. Methods: Between 2015 and 2018, this cross-sectional survey was conducted in South Los Angeles. Overall, 740 AA older adults who were 55+ years old entered this study. Independent variables were age, gender, living arrangement, insurance type, educational attainment, financial strain, chronic medical conditions, and pain intensity. Untreated depression was the dependent variable. Logistic and polynomial regression models were used to analyze these data. Results: According to the polynomial regression model, factors such as number of chronic medical conditions and pain intensity were higher in individuals with depression, regardless of treatment status. As our binary logistic regression showed, age, education, and number of providers were predictive of receiving treatment for depression. Conclusion: Age, educational attainment, number of providers (as a proxy of access to and use of care) may be useful to detect AA older adults with depression who are at high risk of not receiving treatment. Future research may focus on decomposition of the role of individual-level characteristics and health system-level characteristics that operate as barriers and facilitators to AA older adults receiving treatment for depression.
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