Marôco, João

Objective To identify people with history of mental health disorders before the COVID-19 pandemic in the Brazilian population and estimate the prevalence of mood swings and the subjective distress of the pandemic among individuals with or without mental health disorders. Methods Through an online survey, participants were asked about presence or absence of mental health disorders. In addition, they answered the Brunel Mood Scale and the Impact of Event Scale. The mean percentile of mood swing indicators and psychological impact scores were estimated, and data were analyzed by logistic regression. Results 13,248 people participated (70.5% women, mean age 35.4 years, 31.2% with history of mental health disorder). Women and younger people were more likely to be diagnosed with mental health disorder. All participants had significant changes in mood due to the pandemic. Anger, depressed mood, mental confusion, and fatigue were higher among individuals with bipolar disorder or with combined disorders. Individuals with mental health disorders had a greater subjective distress, especially the group with bipolar disorder (OR = 4.89 [3.64–6.56]) and combined disorders (OR = 6.89 [5.21–9.10]). Conclusion Individuals previously diagnosed with mental health disorders at some point in life are more vulnerable to psychological impact from the pandemic.

Background: Isolation measures used to contain epidemics generate social interaction restrictions and impose changes in routines of the public that increase negative psychological outcomes. Anxiety and depression are the most common symptoms. Objective: To evaluate the mental health of the Brazilian population during the SARs-CoV-2 pandemic and its relationship with demographic and health characteristics. Methods: Adults from all Brazilian States participated (n = 12,196; women: 69.8%, mean age = 35.2 years). The Depression, Anxiety and Stress Scale, and the Impact of Event Scale–revised were used (online survey). Data validity and reliability were verified by confirmatory factor analysis and ordinal alpha coefficient. The probability of presenting psychological symptoms was calculated by multiple logistic regression and odds ratio (OR) (0 = without symptoms, 1 = with mild, moderate, and severe levels of symptoms). Results: High prevalence of depression (61.3%), anxiety (44.2%), stress (50.8%), and psychological impact (54.9%) due to the isolation experienced from the pandemic was found. Younger individuals (OR = 1.58–3.58), those that felt unsafe (OR = 1.75–2.92), with a previous diagnosis of mental health (OR = 1.72–2.64) and/or had general health problems before the pandemic (OR = 1.17–1.51), who noticed changes in their mental state due to the pandemic context (OR = 2.53–9.07), and excessively exposed to the news (OR = 1.19–2.18) were at increased risk of developing symptoms. Women (OR = 1.35–1.65) and those with lower economic status (OR = 1.38–2.69) were more likely to develop psychological symptoms. Lower educational levels increased the likelihood of depressive (OR = 1.03–1.34) and intrusive symptoms (OR = 1.09–1.51). Conclusions: The pandemic and related factors can have a high impact on the mental health of the population. Demographic characteristics can influence the occurrence of psychological symptoms.