Abstract 14087: Psychosocial Determinants of Health Predict Depressive Symptoms and Anxiety in Rural Caregivers
Introduction: Caregivers have an 82% increased risk of cardiovascular disease (CVD) compared to non-caregivers. Depressive symptoms (DS) and anxiety increase CVD risk, and these are worse in rural dwellers. Knowing predictors of DS and anxiety in rural caregivers of patients with chronic illness is important to reduce CVD risk. Purpose: To identify predictors of DS and anxiety in rural caregivers at risk for CVD using a social determinants of health (SDH) model. Method: In this cross-sectional study we measured multiple SDH. These variables included sociodemographic (i.e., age, gender, race, marital status, health insurance, education, financial status), behavioral (i.e., smoking and body mass index [BMI]), and psychosocial (i.e., caregiver burden measured by the Zarit Burden Interview, perceived stress by the Cohen Perceived Stress Scale, and social support by the Medical Outcomes Study Social Support Survey) factors. The outcomes of DS were measured by the Patient Health Questionnaire-9 and anxiety by the Brief Symptom Inventory – Anxiety subscale. Data were analyzed using two separate multiple regression models, one for DS and one for anxiety. As depression and anxiety are often comorbid, they were considered predictors in the appropriate models. Results: In the 262 participants (mean age 53±13, 78% female, 96% Caucasian, 70% were married), mean years of education were 14±2, 56.1% had enough money to make ends meet, and 55% had no insurance or Medicaid only. Significant predictors of worse DS were higher caregiver burden (β=0.05, p=0.004), higher perceived stress (β=2.04, p=0.001), and higher anxiety (β=3.79, p= <0.001). Predictors of worse anxiety, were younger age (β=-0.006, p=0.03), higher caregiver burden (β=0.006, p=0.009), lower social support (β=-0.004, p=0.05), and higher DS (β=0.08, p=<0.001). Conclusion: Predictors of DS and anxiety in these rural caregivers were psychosocial variables. Caregiver CVD Interventions could be optimized by including stress management, education about the psychological effects of caregiving, and social support components. Future research is needed on the role of DS and anxiety in CVD to better support rural caregivers at highest risk.