Factors Differentiating Rural and Urban Population in Determining Anxiety and Depression in Patients with Chronic Cardiovascular Disease: A Pilot Study

The aim of this cross-sectional study was to analyze selected variables differentiating rural from urban populations, as well as identify potentially increased levels of depression and anxiety in patients with chronic cardiovascular disease. The study was carried out in 193 patients. The study used the Camberwell Assessment of Need Short Appraisal Schedule (CANSAS), the Health Behavior Inventory Questionnaire (HBI), the WHOQOL-BREF Quality of Life Questionnaire, and the Hospital Anxiety and Depression Scale–Modified Version (HADS-M). Spearman’s rank correlation coefficient test and logistic regression were used for analyses. In rural patients, we observed a relationship between anxiety and age (1/OR = 1.04; 95% CI: 0.91–0.99), the assessment of satisfied needs (1/OR = 293.86; 95% CI: 0.00001–0.56), and quality of life (QoL) in physical (OR = 1.56; 95% CI: 1.11–2.33), social (1/OR = 1.53; 95% CI: 0.04–0.94), and environmental domains (OR = 1.67; 95% CI: 1.06–3.00), as well as between depression and QoL in physical (1/OR = 1.39; 95% CI: 0.50–0.97) and psychological (OR = 1.37; 95% CI: 1.01–1.93) domains. In city patients, we observed a relationship between the drug and Qol in the physical (1/OR = 1.25; 95% CI: 0.62–0.98) and psychological (OR = 1.49; 95% CI: 1.13) domains. Younger patients living in a rural area with a lower assessment of met needs, a higher level of QoL in physical and environmental domains, and a lower social domain, as well as patients living in a city with a lower QoL in the physical domain and a higher psychological domain, have a greater chance of developing anxiety and depressive disorders.