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

Autor: Tasnim R; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; Centre for Advanced Research Excellence in Public Health, Savar, Dhaka 1342, Bangladesh. Electronic address: tasnimrifa97@gmail.com., Sujan MSH; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; Centre for Advanced Research Excellence in Public Health, Savar, Dhaka 1342, Bangladesh. Electronic address: sujanmahmuddphi@gmail.com., Islam MS; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; Centre for Advanced Research Excellence in Public Health, Savar, Dhaka 1342, Bangladesh. Electronic address: islam.msaiful@outlook.com., Ferdous MZ; Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh. Electronic address: m.zannatul.ferdous@juniv.edu., Hasan MM; Hospital Services Management, DGHS, Mohakhali, Dhaka 1212, Bangladesh., Koly KN; Health System and Population Studies Division, icddr,b, Mohakhali, Dhaka 1212, Bangladesh. Electronic address: koly@icddrb.org., Potenza MN; Department of Psychiatry and Child Study Center, Yale School of Medicine, New Haven, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA. Electronic address: marc.potenza@yale.edu.
Jazyk: angličtina
Zdroj: Acta psychologica [Acta Psychol (Amst)] 2021 Oct; Vol. 220, pp. 103426. Date of Electronic Publication: 2021 Oct 02.
DOI: 10.1016/j.actpsy.2021.103426
Abstrakt: 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.
(Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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