Depression and anxiety among individuals with medical conditions during the COVID-19 pandemic: Findings from a nationwide survey in Bangladesh.

Background: Coronavirus disease 2019 (COVID-19) disproportionately impacts individuals with medical conditions, including with respect to their mental health. The present study investigated depression and anxiety and their correlates among individuals with medical conditions in Bangladesh.

Methods: Subjects were recruited to participate in an internet-based survey. Data were collected from November 2020 to January 2021 using convenience sampling by a semi-structured questionnaire through online platforms. Multiple regression analyses were performed to determine associations applying Bonferroni correction (p < 0.004). The Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) measured depression and anxiety, respectively.

Results: Nine-hundred-and-seventy-one participants (50.1% male; mean age = 42.29 ± 15.86 years; age range = 18-80 years) with medical conditions were included in final analyses. The most frequently reported conditions were diabetes, hypertension, obesity, heart disease, asthma, and anemia. Estimates of moderate to severe depression and anxiety were 38.9% and 35.2%, respectively. The mean depression and anxiety scores were significantly higher among participants who reported having hypertension, obesity, heart disease, asthma, anemia, cancer and chronic obstructive pulmonary disease (COPD). Using Bonferroni correction (p < 0.004), depression was associated with being female and a student, having poorer quality of life, poorer health status and greater numbers of co-morbidities, not engaging in physical exercise and tobacco smoking. Anxiety was associated with being female and a student, having lower socioeconomic status, poorer quality of life, poorer health status and greater numbers of co-morbidities, less sleep and tobacco smoking.

Conclusions: Depression and anxiety are prevalent among individuals with medical conditions and correlate with sociodemographic, quality-of-life and smoking measures. Interventions targeting vulnerable groups should be employed and investigated.