Submission ID 93133
| Poster Code | HR-P-29 |
|---|---|
| Title of Abstract | Intersecting Social Positions Related to Depressive Symptoms in University Students. |
| Abstract Submission | Depression (and related symptomatology) is one of the most common mental illnesses that post-secondary students report. National estimates of the prevalence of diagnosed depression reported for North American post-secondary students range from 19-20% in 2019 (NCHA). Social determinants of health are recognized as factors that influence the behaviours and conditions which ultimately "drive" states of health and disease, and are important etiological factors in their own right. Certain social position factors (a subclass of social determinants of health) have been associated with depressive symptoms in post-secondary student populations, including gender, race/ethnicity, and different indicators of socioeconomic status. However, research in this area has often focused on the isolated effect of these factors without considering how they interact with each other. This may result in wrongly prioritizing certain social position exposures over others. It may also result in overlooking inequalities within groups of individuals that identify with the same social position category. Therefore, approaching this topic from a lens that acknowledges that multiple social position factors are experienced simultaneously, and that these factors intersect with each other (i.e., intersectionality theory) is important. With intersectionality theory as the underlying framework, the aim of this project was to use recursive partitioning analysis to identify intersecting social positions that are associated with depressive symptoms among a sample of university students. Incoming undergraduate students attending Queen's university in Fall 2018 were recruited for the U-Flourish Longitudinal mental health and wellness study. Participants completed an online survey package which included sociodemographic questions (race/ethnicity, gender, parental education, country of origin, parents divorced or separated) and a measure of depression symptoms (Patient Health Questionnaire). Recursive partitioning was used to determine which intersections of sociodemographic items were most important for depression (i.e, which intersections were most likely to report clinically significant depressive symptoms). |
| Please indicate who nominated you | Queen's University - Public Health Sciences Department. |
| What Canadian Institutes of Health Research (CIHR) institute is your research most closely aligned? | Neurosciences, Mental Health and Addiction Population and Public Health |
| What Canadian Institutes of Health Research (CIHR) pillar of health research does your research fall under? | Population health |
| PDF of abstract | ICAM Abstract.pdf 2023-02-04 at 01:01:03 |
| Presenter and Author(s) | Nancy Fynn-Sackey Nancy Fynn-Sackey |
