Selected article for: "chi square test and logistic regression model"
Author: Kalantari, N.; Ezzeddin, N.; Eini-Zinab, H.
Title: The association of covid-19 infection with household food insecurity among Iranian population
  • Cord-id: m82xicuo
  • Document date: 2020_12_16
    • ID: m82xicuo
    Snippet: Objective: The aim of this study was to investigate the association of food insecurity score with the status of Covid-19 infection. Design: An online cross-sectional study. Demographic and socio-economic information were collected by questionnaire. Household Food Insecurity Access Scale (HFIAS) was used in assessing household food security status. The analysis data was done by IBM SPSS 22.0, using Chi-square test, ANOVA test and Multinomial logistic regression model. Setting: Iran Participants:
    Document: Objective: The aim of this study was to investigate the association of food insecurity score with the status of Covid-19 infection. Design: An online cross-sectional study. Demographic and socio-economic information were collected by questionnaire. Household Food Insecurity Access Scale (HFIAS) was used in assessing household food security status. The analysis data was done by IBM SPSS 22.0, using Chi-square test, ANOVA test and Multinomial logistic regression model. Setting: Iran Participants: 2871 Iranian adults (over 18 years old) Results: findings indicated that men [OR=0.60, CI= (0.41, 0.87), P<0.05], and healthcare personnel [OR=3.66, CI= (1.90, 7.05), P<0.001] were at higher risk for Covid-19. It was also shown that the food insecurity score is significantly higher among infected people compared to not-infected [OR=1.03, CI= (1.00, 1.05), P<0.05]. The comparison between suspected and not-infected individuals only indicated the significant differences in perceived COVID-19 prevention score, which was higher among not-infected people [OR=0.88, CI=(0.84,0.93), P<0.001]. Conclusion: Based on the results, in addition to long-term policies to improve food security, policymakers and planners need to plan and implement short-term policies (financial or food assistance) to reduce society vulnerability to the Covid-19.

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