Comparing single-level and multilevel regression analysis for risk adjustment of treatment outcomes in common mental health disorders

2018 ◽  
Vol 27 (1) ◽  
pp. 29-35
Author(s):  
Lisanne Warmerdam ◽  
Edwin de Beurs ◽  
Marko Barendregt ◽  
Jos Twisk
Author(s):  
Piotr Długosz

Objective The study aims to investigate the risk factors of bad psychosomatic health among students in quarantine during the first wave of the COVID-19 pandemic. Method:The survey was conducted on-line, on a sample of 1,978 respondents in Poland. The study was carried out by the end of the summer semester. The questionnaire was designed in a way which allows for the observation of main risk factors which have impact on the students’ mental health. The variance analysis and the hierarchical regression analysis were used to determine the predictors of mental health. Results:The results indicate that average and high levels of psychosomatic disorders were observed among 61% of respondents. The hierarchical regression analysis has revealed that the main factors influencing the level of mental health disorders were educational burnout, satisfaction with life, strategies for coping with stress and gender. As indicated by the respondents, mental health disorders increase in tandem with educational burnout, the application of emotion-focused coping strategies and the lack of satisfaction with one’s life. Moreover, it was observed that female respondents scored higher on the scale of disorders in comparison to males. Conclusions:The results of research indicate that distance education and negative coping strategies are the main risk factors of mental health disorders among students during the pandemic.


2009 ◽  
Vol 34 (1) ◽  
pp. 29-43 ◽  
Author(s):  
Lisa Iverach ◽  
Mark Jones ◽  
Sue O’Brian ◽  
Susan Block ◽  
Michelle Lincoln ◽  
...  

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