Argaw Ambelu1, Zewdie Birhanu2, Yimenu Yitayih3, Yohannes Kebede4, Mohammed Mecha5, Jemal Abafita6, Ashenafi Belay7, Diriba Fufa8. 1. Department of Environmental Health Sciences and Technology, Faculty of Public Health, Jimma University, Jimma, Ethiopia. aambelu@yahoo.com. 2. Departemnt of Health, Behavior, and Society, Faculty of Public Health, Jimma University, Jimma, Ethiopia. 3. Department of Psychiatry, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia. 4. Department of Environmental Health Sciences and Technology, Faculty of Public Health, Jimma University, Jimma, Ethiopia. 5. Department of Internal Medicine, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia. 6. Department of Economics, College of Business and Economics, Jimma University, Jimma, Ethiopia. 7. Department of English Language and Literature, College of Social Sciences, Jimma University, Jimma, Ethiopia. 8. Department of Paediatrics and Child Health, Faculty of Medical Sciences, Jimma University, Jimma, Ethiopia.
Abstract
BACKGROUND: The COVID-19 pandemic led individuals to suffer from different levels of mental health problems such as psychological distress, anxiety, depression, denial, panic, and fear. This study aimed at determining the prevalence of psychological distress and associated factors among the Ethiopian population during the COVID-19 pandemic. METHODS: A cross-sectional study was performed through an online survey using different online platforms. The questionnaire was created through Google Form and the survey link was administered by e-mail, LinkedIn, Telegram, and Facebook. Educated Ethiopian population who have access to the internet were invited to participate through an online survey and addressed to 929 respondents. The study participants completed the survey anonymously without any personal identifier. The psychological distress was assessed using the Kessler 10-item tool to measure psychological distress. Data were analyzed using SPSS and logistic regression to examine mutually adjusted associations, expressed as adjusted odds ratios. A generalized additive model was also employed to identify additional predictors using R. RESULTS: The prevalence of high psychological distress among the study population was 236 (25.5%). Of all respondents, 421 (45.1%) had low psychological distress, 274 (29.4%) had moderate psychological distress, 164 (17.6%) had high psychological distress, and 72 (7.3%) had very high psychological distress. Psychological distress increased with being at young and middle-aged adults, getting information from social media, and not correctly practicing infection prevention and control measures to prevent COVID-19 infection. Respondents with high perceived severity had increased psychological distress. On the contrary, those with the highest score of perceived response efficacy had low distress. CONCLUSION: Prevalence of psychological distress was substantial. The need for intervention of psychological distress inline with the prevention of COVID-19 is critically essential. The intervention target groups are those whose information sources are from social media, young and middle-aged adults, and those who do not correctly practice infection prevention and control measures against COVID-19 infection.
BACKGROUND: The COVID-19 pandemic led individuals to suffer from different levels of mental health problems such as psychological distress, anxiety, depression, denial, panic, and fear. This study aimed at determining the prevalence of psychological distress and associated factors among the Ethiopian population during the COVID-19 pandemic. METHODS: A cross-sectional study was performed through an online survey using different online platforms. The questionnaire was created through Google Form and the survey link was administered by e-mail, LinkedIn, Telegram, and Facebook. Educated Ethiopian population who have access to the internet were invited to participate through an online survey and addressed to 929 respondents. The study participants completed the survey anonymously without any personal identifier. The psychological distress was assessed using the Kessler 10-item tool to measure psychological distress. Data were analyzed using SPSS and logistic regression to examine mutually adjusted associations, expressed as adjusted odds ratios. A generalized additive model was also employed to identify additional predictors using R. RESULTS: The prevalence of high psychological distress among the study population was 236 (25.5%). Of all respondents, 421 (45.1%) had low psychological distress, 274 (29.4%) had moderate psychological distress, 164 (17.6%) had high psychological distress, and 72 (7.3%) had very high psychological distress. Psychological distress increased with being at young and middle-aged adults, getting information from social media, and not correctly practicing infection prevention and control measures to prevent COVID-19infection. Respondents with high perceived severity had increased psychological distress. On the contrary, those with the highest score of perceived response efficacy had low distress. CONCLUSION: Prevalence of psychological distress was substantial. The need for intervention of psychological distress inline with the prevention of COVID-19 is critically essential. The intervention target groups are those whose information sources are from social media, young and middle-aged adults, and those who do not correctly practice infection prevention and control measures against COVID-19infection.
Authors: Yijun Zhao; Yi Ding; Yangqian Shen; Samuel Failing; Jacqueline Hwang Journal: Int J Environ Res Public Health Date: 2022-02-19 Impact factor: 3.390