AUTHOR=Zhong Rui , Zhang Qiong , Qiu Yanfang , Chen Lingxia , Xie Jianghua , Chen Yongjun , Zou Yajiao , Zhu Lei , Tong Li , Zou Yanhui , Wang Wei , Zhou Yuhua TITLE=Results of the Adult COVID-19 Lifestyle Matching Study JOURNAL=International Journal of Public Health VOLUME=67 YEAR=2022 URL=https://www.ssph-journal.org/journals/international-journal-of-public-health/articles/10.3389/ijph.2022.1604329 DOI=10.3389/ijph.2022.1604329 ISSN=1661-8564 ABSTRACT=

Objective: The aim of our case-control study was to find the influence of lifestyle and comorbidities on COVID-19 susceptibility, identify risk factors and protective factors, and identify ways to encourage people to adopt a healthy lifestyle.

Methods: Patients with COVID-19 were matched with non-COVID-19 participants in a ratio of 1:2. Univariate analysis was performed using the chi-square test, and multivariate analysis was performed using conditional logistic regression.

Results: Multivariate analysis using conditional logistic regression found that alcohol consumption (AC) and a bland diet increased the risk of COVID-19, while college degrees and above, smoking, drinking tea, and exercise, especially walking, significantly reduced the risk of COVID-19.

Conclusion: After removing the effects of demographic factors, the study demonstrated that AC significantly reduced the ability of the body to resist COVID-19 infection. Moreover, following a bland diet increased the susceptibility to COVID-19. Notably, people who drank tea and performed regular exercises, especially walking, were significantly less likely to be infected with COVID-19. College degree or above relative illiteracy is COVID-19 protective factors of infection.