Ordered Logistic Regression on the Mental Health of Undergraduate Students
Year: 2019
Type: article
Study design: Observational Study
Abstract: Mental health is the state of well-being of an individual, were such individual can cope with the stresses of life and still make contribution to his/her community. Research has shown that there is an association between behavioral tendencies of undergraduate students and their mental health. This we believe is due to stress of full time academic program. Bearing this in mind we focused our research in identifying these factors that affect the mental health of students and ascertain the level of relationship between them and the student’s mental health. We adopted the stratified sampling technique for data collection and used self-administered questionnaire to identify the prevalence of factors known to be associated with mental health. The ordered logistic regression was carried out to obtain a proportional odds model that was used to model this relationship. The results show that when the current well-being of the students increase by a unit the odds of mental health state of the student being in an unstable state or mildly-unstable state versus stable state increases by 36.27%, given that any other variable is held constant. Also when the coping strategy increases the odds also increases by 33.16%, we can also observe that increase in the mental health assessment also increases the odds of mental health in unstable or mildly unstable state versus stable state, by 22.49%. A close look at the odds ratio and the regression coefficients makes us conclude that the most influential factors of the mental health is the current well-being of the student, followed by coping strategies and lastly the mental health assessment.
Authors: M. T. Nwakuya, Omosivie Mmaduka
Language: English
Topic: Student Stress and Coping
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2921880520