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Prevalence and Factors associated with Mental health impact of COVID-19 Pandemic in Bangladesh: A survey-based cross-sectional study
Dr. Tanvir Abir; Dr. Nazmul Ahsan Kalimullah; Dr. L Osuagwu Uchechukwu; Dewan Muhammad Nur -A Yazdani; Taha Husain; Piwuna Christopher Goson; Palash Basak; Md Adnan Rahman; Dr. Abdullah Al Mamun; Dr. P. Yukthamarani Permarupan; Md Yusuf Hossein Khan; Dr. Abul Hasnat Milton; Dr. Kingsley Agho.
Afiliação
  • Dr. Tanvir Abir; International University of Business, Agriculture and Technology, Dhaka-1230, Bangladesh
  • Dr. Nazmul Ahsan Kalimullah; Begum Rokeya University, Rangpur-5404, Bangladesh
  • Dr. L Osuagwu Uchechukwu; Western Sydney University, Australia
  • Dewan Muhammad Nur -A Yazdani; International University of Business, Agriculture and Technology, Dhaka-1230, Bangladesh
  • Taha Husain; Begum Rokeya University, Rangpur 5404, Bangladesh
  • Piwuna Christopher Goson; University of Jos, Nigeria
  • Palash Basak; University of Newcastle, Callaghan 2308, Australia
  • Md Adnan Rahman; International University of Business Agriculture and Technology (IUBAT), Dhaka-1230, Bangladesh
  • Dr. Abdullah Al Mamun; UCSI University, Kuala Lumpur 56000, Malaysia
  • Dr. P. Yukthamarani Permarupan; Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
  • Md Yusuf Hossein Khan; International University of Business Agriculture and Technology (IUBAT), Dhaka-1230, Bangladesh
  • Dr. Abul Hasnat Milton; Research International, Dhaka, Bangladesh & Epidemiology Resource Centre, NSW, Australia
  • Dr. Kingsley Agho; Western Sydney University, Campbelltown, NSW 2560, Australia
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21249216
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ABSTRACT
BackgroundFeelings of isolation, insecurity, and instability triggered by COVID-19 could have a long-term impact on the mental health status of individuals. This study examined the prevalence and factors associated with the mental health symptoms of anxiety, depression, and stress during the COVID-19 pandemic in Bangladesh. MethodsFrom 1st - 30th April 2020, we used a validated self-administered questionnaire to conduct a cross-sectional study on 10,609 participants through an online survey platform. We assessed mental health status using the Depression, Anxiety, and Stress Scale (DASS-21). The total depression, anxiety, and stress subscale scores were divided into normal, mild, moderate, severe, and multinomial logistic regression was used to examine associated factors. ResultsThe prevalence of depressive symptoms was 15%, 34%, and 15% for mild, moderate, and severe depressive symptoms, respectively. The prevalence of anxiety symptoms was 59% for severe anxiety symptoms, 14% for moderate anxiety symptoms, and 14% for mild anxiety symptoms while, the prevalence for stress levels were 16% for severe stress level, 22% for moderate stress level and 13% for mild stress level. Multivariate analyses revealed that the most consistent factors associated with mild, moderate, and severe of the three mental health subscales (depression, anxiety, and stress) were respondents who lived in Dhaka and Rangpur division, females, those who self-quarantine in the previous 7 days before the survey and those respondents who experienced chills, breathing difficulty, dizziness, and sore throat. ConclusionOur results showed that about 64%, 87%, and 61% experienced depressive symptoms, anxiety symptoms, and levels of stress, respectively. In Bangladesh, there is a need for better mental health support for females especially those that lived in Dhaka and Rangpur division and experienced chills, breathing difficulty, dizziness, and sore throat during COVID-19 and other future pandemics.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico / Rct Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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