Abstract
INTRODUCTION: The COVID-19 pandemic has placed restrictions on people's physical activities. The aim of this study was to evaluate the physical activity levels of individuals and assess the effects of physical activity on quality of life, depression and anxiety levels during the COVID-19 outbreak. METHODS: This cross-sectional study were included 2301 participants aged 20-75 years. The data were collected through the Google Forms web survey platform by the virtual snowball sampling method. In the multivariate analysis, the independent predictors were analyzed using possible factors identified in previous analyses by multinomial logistic regression analysis. Hosmer-Lemeshow and Omnibus tests were used to evaluate the logistic regression model and coefficients. RESULTS: The mean weekly energy consumption of the participants was 875±1588 MET-min, and only 6.9% were physically active enough to maintain their health. There was a weak positive relationship between physical activity levels and quality of life, while there was a weak negative relationship between physical activity levels, depression and anxiety (p<0.05). In the multinomial logistic regression model established for comparison of physically active and inactive participants, general health status and physical health status variables were statistically significant (p<0.05). However, relationships between psychological status, social relationships and environment scores, Beck Depression and Beck Anxiety Inventory scores were not statistically significant (p>0.05). CONCLUSIONS: Results showed that physical activity programs should be included in guidelines as an integrative approach to pandemic management. During COVID-19 outbreak, community-based rehabilitation programs are needed, and these programs should be carried out in cooperation with community stakeholders.