Investigating the Effects of COVID-19 Prevalence on Demographic Variables and Its Relationship With Social Participation

Background: Because COVID-19 has become a pandemic, public health measures to cut off human-to-human transmission may include quarantine and social isolation. This study aims to demonstrate the effects of the COVID-19 pandemic on demographic variables and their relationship to the level of social participation during the pandemic. Materials and Methods: In June 2020, the community integration questionnaire (CIQ) was transcribed along with the required demographic information on a web-based platform. A total of 461 people (Mean±SD age: 36.86±5.8 years) completed the questionnaire in a cross-sectional study. The effects of COVID-19 on social interaction were then calculated by analyzing the community integration questionnaire scores before and after the outbreak of COVID-19 and the data were analyzed using the SPSS software, version 26. Results: Quarantine measures had the most damage in the reference group (participants under 24 years old) (P