Ontology highlight
ABSTRACT: Purpose
The COVID-19 pandemic has undoubtedly altered the routine of life and caused unanticipated changes resulting in severe psychological responses and mental health crisis. The study aimed to identify psycho-social factors that predicted distress among Indian population during the spread of novel Coronavirus.Method
An online survey was conducted to assess the predictors of distress. A global logistic regression model was built, by identifying significant factors from individual logistic regression models built on various groups of independent variables. The prediction capability of the model was compared with the random forest classifier.Results
The respondents (N = 1060) who are more likely to be distressed, are in the age group of 21-35 years, are females (OR
SUBMITTER: Anand V
PROVIDER: S-EPMC8336880 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature