COVID-19: introduction of a new lifestyle and diet among the Malaysians

Abstract

Abstract Background The stay-at-home conditions due to the COVID-19 pandemic significantly alter the Malaysian lifestyle, and all Malaysians faced difficulties adopting the new lifestyle. A hypothetico-deductive technique has been conducted in this study, to find out what kind of changes the COVID-19 has brought about in the behavior of Malaysians and how they are coping with the changing lifestyles. According to G* Power 3.1 sample size determination in Malaysia, the entire sample of 112 was sufficient to provide the value for the medium effect size for the computation of the F-tests and the findings were reliable (The Cronbach's alpha values were all above 0.70.). To calculate the mean of the lifestyle during COVID-19, the mean scores range between 1.00 and 5.00 marks indicating much reduced to much increased. Results It seemed that the jobs traveling (mean 1.80) and outdoor sports time (mean = 1.94) were somewhat reduced. In contrast, indoor sports activities (mean = 3.01), online games (mean = 2.76), physical exercises (mean = 2.63), and the number of staycations (mean = 2.46) during the pandemic stayed the same. However, religious activities (mean = 3.73), body mass index (mean = 3.54), online shopping (mean = 3.90), sleeping time (mean = 3.43), amount of anxiety (mean = 3.38), amount of caffeine (mean = 3.15), medical consumption (mean = 3.10), watching movies (mean = 3.26), and watching drama series (mean = 3.37) during COVID-19 were somewhat increased. In addition, respondents' time spent on social media (mean = 4.27) and online meetings (mean = 4.37) during COVID-19 were much increased. We found no significant differences in the means of the dependent variables (lifestyle of COVID-19) among all demographic characteristics except age and employment status. Conclusions New behavioral changes bring new challenges. Malaysians should need to adopt some precautions to minimize the negative effect of new behavioral changes in post-COVID-19 life. The results will help policymakers to make the right decisions about improving the quality of life after COVID-19.