Objective: The aim of this study was to evaluate sleep and awakening quality (SQ and AQ) during COVID-19 in a large and diversified population in order to identify significant associations and risks in terms of demography, health and health-related behaviors, sleep variables, mental health, and attitudes. Methods/Results:Online surveys were used for data collection, received from 5479 individuals from the general population, sleep disorder patients, and COVID-involved (medical doctors (MDs) and nurses) and COVID-affected professionals (teachers, psychologists, and dentists). SQ and AQ were worse in adults, females, and high-education subjects. Feeling worse, having economic problems, depression, anxiety, irritability, and a high Calamity Experience Check List (CECL) score during COVID were significantly associated with poor SQ and AQ. Shorter sleep duration, increased latency, poor nutrition, low physical activity, increased mobile and social network use, more negative and less positive attitudes and behaviors were associated with poor AQ. Conclusions: The SQ logistic regression showed gender, morbidities, CECL, and awakenings as relevant, whereas, for AQ, relevant variables further included age and physical activity. Aiming to have a high stress compliance, each individual should sleep well, have important control of their mood, practice positive behaviors while dismissing negative behaviors and attitudes, practice exercise, have adequate nutrition, and beware of technologies and dependences.

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The COVID-19 pandemic led to a worldwide implementation of measures to contain the virus from spreading, and social isolation was one of those measures. Social isolation is associated with increased susceptibility to various neuropsychiatric disorders, including depression. Because this risk varies between populations and their respective habits, understanding which behaviors play a positive or harmful role is fundamental for people with depression under these conditions. This study aims to 1) compare health-related behaviors (HRBs) and perceived addictions between healthy individuals and individuals who reported having a depressive disorder at the time of the first outbreak of the COVID-19 pandemic in Portugal, and 2) test which HRB and perceived addictions are associated with depression. Participants were a matched for age and sex and comprised 968 adults divided into two groups: healthy (484, 50%) and depressed (484, 50%). They completed online self-report questionnaires, and the data were analyzed in SPSS. Logistic regressions showed that being a health professional, getting up in a later time during weekends, and a higher consumption of soft drinks increased the risk for depression. In contrast, higher education and higher intensity of physical activity decreased this risk. Perceived addictions to TV, social networking, and gaming increased the risk for depression. HRBs and the identified addictions associated with depression during the confinement should be targeted in clinical and community interventions.