Depression and anxiety in Malaysian population during third wave of the COVID-19 pandemic.

INTRODUCTION: The outbreak of coronavirus posits deleterious consequences on global healthcare system while affecting human life in every aspect. Despite several measures undertaken to limit the socio-economic effect of coronavirus, various challenges remain pervasive, and one such challenge is mental health, particularly depression and anxiety. Therefore, this study examines the prevalence and determinants of depression and anxiety in Malaysian population during third wave of COVID-19. METHODS: A cross-sectional online survey was carried out via social media platforms and 1544 Malaysians were selected. The level of depression was assessed by Patient Health Questionnaires (PHQ-9) and scored accordingly for categorization. Zung's Self-Rating Anxiety Scale (SAS) was used as a self-assessment survey to quantify the level of anxiety of persons experiencing anxiety-related symptoms. Percentage distribution and logistic regression analysis were used in the data analysis. RESULTS: Results showed that one-fourth (25.1%) of the participants had severe depressive symptoms. Almost one-sixth (18.7%) had mild depressive symptoms and one-third (34.1%) had mild to moderate anxiety symptoms. Age, gender, and friends infected with virus were the three important predictors of depression and anxiety. The odds of having depression (OR = 1.44; C·I. = 1.32-1.62) and anxiety (OR = 1.36; C·I. = 1.27-1.47) were significantly higher among females than in males. CONCLUSION: A significant proportion of the study participants were facing mild to severe depression and anxiety symptoms which is very alarming as the pandemic is still now increasing across the country. Immediate interventions including community counselling programmes, TV and social media campaigns are urgently needed to reduce the psychological stress among the Malaysian population.

Postacute Sequelae of SARS-CoV-2 Infection and Impact on Quality of Life 1-6 Months After Illness and Association With Initial Symptom Severity.

BACKGROUND: Individuals with coronavirus disease 2019 (COVID-19) may have persistent symptoms following their acute illness. The prevalence and predictors of these symptoms, termed postacute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; PASC), have not been fully described. METHODS: Participants discharged from an outpatient telemedicine program for COVID-19 were emailed a survey (1-6 months after discharge) about ongoing symptoms, acute illness severity, and quality of life. Standardized telemedicine notes from acute illness were used for covariates (comorbidities and provider-assessed symptom severity). Bivariate and multivariable analyses were performed to assess predictors of persistent symptoms. RESULTS: Two hundred ninety patients completed the survey, of whom 115 (39.7%) reported persistent symptoms including fatigue (n = 59, 20.3%), dyspnea on exertion (n = 41, 14.1%), and mental fog (n = 39, 13.5%), among others. The proportion of persistent symptoms did not differ based on duration since illness (<90 days: n = 32, 37.2%; vs >90 days: n = 80, 40.4%; P = .61). Predictors of persistent symptoms included provider-assessed moderate-severe illness (adjusted odds ratio [aOR], 3.24; 95% CI, 1.75-6.02), female sex (aOR, 1.99; 95% CI, 0.98-4.04; >90 days out: aOR, 2.24; 95% CI, 1.01-4.95), and middle age (aOR, 2.08; 95% CI, 1.07-4.03). Common symptoms associated with reports of worse physical health included weakness, fatigue, myalgias, and mental fog. CONCLUSIONS: Symptoms following acute COVID-19 are common and may be predicted by factors during the acute phase of illness. Fatigue and neuropsychiatric symptoms figured prominently. Select symptoms seem to be particularly associated with perceptions of physical health following COVID-19 and warrant specific attention on future studies of PASC.