Logistic regression analysis for studying the impact of home quarantine on psychological health during COVID-19 in Saudi Arabia

https://doi.org/10.1016/j.aej.2022.01.047Get rights and content
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Abstract

During the Coronavirus disease (COVID-19) period, the world witnessed a complete closure of all aspects of social life, and people must go for home quarantine to limit the spread of Corona virus disease. This study aims to use multiple logistic regression model (MLR) to identify the impact of home quarantine on psychological stability of individuals and its relationship to various factors. Maximum likelihood is used to estimate the parameters of MLR. Hosmer-Lemeshow method and Wald statistic are calculated to assess the significance of MLR. Cross sectional study was carried out and MLR was fitted to the collected data. This study applied to 846 residents of Makkah region during the COVID-19 period. High percentage of respondents felt psychological stability during the period of home quarantine. Logistic regression model showed that education level and psychological disorders during home quarantine were the significant risk factors for psychological stability during COVID-19. In addition, the positive impact of the home quarantine that people became more attention to their health, more interested to self-development and the families become close to each other. On the other hand, people on private employee or unemployed had psychological disorders more than others due to home quarantine and decrease their income.

Keywords

Logistic regression model
Maximum likelihood estimator
Hosmer–Lemeshow statistic
ANOVA
Home quarantine
Psychological stability
Anxiety
COVID-19

Abbreviations

COVID-19
Coronavirus disease in 2019
WHO
World Health Organization
ANOVA
Analysis of variance
SPSS
Statistical Package for the Social Sciences
MLE
Maximum likelihood estimator
MLR
Multiple logistic regression
CI
Confidence interval

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Peer review under responsibility of Faculty of Engineering, Alexandria University.