<p>Note:</p><p>**p<.001,</p><p>*p<.01 Definitive Psychosis was weighted using specific weight designed for this variable; all other variables were weighted using phase one data weights.</p><p>Summary of logistic regression analysis for variables predicting mental health outcomes, controlling for background variables (age, sex, ethnicity, education and drug use).</p
Logistic regression models: Association between common mental disorders and students’ sociodemograph...
Multivariable logistic regression models: Predictors of 12-month mental health service utilisation (...
Bivariate and multivariate binary logistic regression results predicting depression, anxiety and men...
<p><sup>a</sup> Adjusted for demographic and socioeconomic status, physical health condition, health...
Logistic regression analysis results with covariates: Mental illness and Oral Conditions.</p
<p>Logistic regression analysis of young people’s exposure to poly-victimization predicting their re...
<p>Results of bivariate and multivariate logistic regression analyses of the association between sti...
Logistic regression analysis of factors associated with psychosomatic health complaints among studen...
Logistic regression of new psychiatric diagnoses and COVID-19 severity controlling for age, gender a...
<p><sup>a</sup> Adjusted for demographic and socioeconomic status, physical health condition, chroni...
<p>Summary Results for Overall (4 Year) Regression Models for Psychological Disorders.</p
© 2015 Published by Elsevier B.V. Many epidemiological studies are undertaken with a use of large ep...
<p>Summary of hierarchical regression analysis for variables and interactions predicting psychologic...
Results of logistic regression analysis with binary mental health variable as outcome variable.</p
Logistic regression analyses of factors associated with higher fear, depression, anxiety, stress, sl...
Logistic regression models: Association between common mental disorders and students’ sociodemograph...
Multivariable logistic regression models: Predictors of 12-month mental health service utilisation (...
Bivariate and multivariate binary logistic regression results predicting depression, anxiety and men...
<p><sup>a</sup> Adjusted for demographic and socioeconomic status, physical health condition, health...
Logistic regression analysis results with covariates: Mental illness and Oral Conditions.</p
<p>Logistic regression analysis of young people’s exposure to poly-victimization predicting their re...
<p>Results of bivariate and multivariate logistic regression analyses of the association between sti...
Logistic regression analysis of factors associated with psychosomatic health complaints among studen...
Logistic regression of new psychiatric diagnoses and COVID-19 severity controlling for age, gender a...
<p><sup>a</sup> Adjusted for demographic and socioeconomic status, physical health condition, chroni...
<p>Summary Results for Overall (4 Year) Regression Models for Psychological Disorders.</p
© 2015 Published by Elsevier B.V. Many epidemiological studies are undertaken with a use of large ep...
<p>Summary of hierarchical regression analysis for variables and interactions predicting psychologic...
Results of logistic regression analysis with binary mental health variable as outcome variable.</p
Logistic regression analyses of factors associated with higher fear, depression, anxiety, stress, sl...
Logistic regression models: Association between common mental disorders and students’ sociodemograph...
Multivariable logistic regression models: Predictors of 12-month mental health service utilisation (...
Bivariate and multivariate binary logistic regression results predicting depression, anxiety and men...