Characteristics Associated with Good Self-Perceived Mental Health among United States Adults with Arthritis

Abstract

Mental health disorders are prevalent among United States (US) adults with arthritis. Yet, little is known about characteristics associated with mental health among US adults with arthritis. This retrospective cross-sectional study used 2019 Medical Expenditures Panel Survey data to assess the association between multiple personal characteristics and mental health status among US adults with arthritis. Hierarchical logistic regression models modeled associations between personal characteristics and mental health status. Model 1 included predisposing factors, model 2 included predisposing and enabling factors, while model 3 included predisposing, enabling, and need factors. The a priori alpha level was 0.05. Analyses accounted for the complex survey design and were weighted to produce national estimates. Among 28,512 individuals, 4984 met the inclusion criteria. Of these, 4181 had good mental health (85.5%, 95% confidence interval (CI) = 84.3%, 86.7%). The following characteristics were associated with good mental health status in the final adjusted model: age 18–64 vs. ≥65 (adjusted odds ratio (AOR) = 0.29, 95% CI = 0.12, 0.71), Midwest vs. West census region (AOR = 5.17, 95% CI = 1.63, 16.46), no degree vs. higher than high school education (AOR = 0.34, 95% CI = 0.12, 0.92), and high school diploma vs. higher than high school education (AOR = 0.40, 95% CI = 0.18, 0.86). In conclusion, this study suggests such characteristics may be targeted to help improve mental health among this population. Additional efforts are needed to help satisfy the unmet need for mental healthcare among this population. © 2022 by the authors.