Awad Nouf Bin, Axon David R
Department of Pharmacy Practice & Science, R. Ken Coit College of Pharmacy, The University of Arizona, Tucson, AZ 85721, USA.
Behav Sci (Basel). 2022 Jul 27;12(8):256. doi: 10.3390/bs12080256.
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.
心理健康障碍在美国患有关节炎的成年人中很普遍。然而,对于美国患有关节炎的成年人中与心理健康相关的特征却知之甚少。这项回顾性横断面研究使用了2019年医疗支出小组调查数据,以评估美国患有关节炎的成年人中多种个人特征与心理健康状况之间的关联。分层逻辑回归模型对个人特征与心理健康状况之间的关联进行了建模。模型1包括易患因素,模型2包括易患因素和促成因素,而模型3包括易患因素、促成因素和需求因素。先验α水平为0.05。分析考虑了复杂的调查设计,并进行加权以得出全国估计数。在28512名个体中,4984名符合纳入标准。其中,4181名心理健康状况良好(85.5%,95%置信区间(CI)=84.3%,86.7%)。在最终调整模型中,以下特征与良好的心理健康状况相关:18 - 64岁与≥65岁(调整后的优势比(AOR)=0.29,95%CI =0.12,0.71),中西部地区与西部地区人口普查区域(AOR =5.17,95%CI =1.63,16.46),无学位与高于高中教育程度(AOR =0.34,95%CI =0.12,0.92),以及高中学历与高于高中教育程度(AOR =0.40,95%CI =0.18,0.86)。总之,这项研究表明,这些特征可能是改善该人群心理健康的目标。需要做出更多努力来满足该人群未得到满足的心理保健需求。