Logistic regression tables show main effects and interactions for each of the primary factors (Program, Year, HE-Gender, HE-Race/Ethnicity) across four measures of mental health (Depression, …
(A) Percentages of medical (MD) and biomedical doctoral (PhD) students reporting the presence (dark grey) or absence (light grey) of symptoms/problematic use pertaining to depression, anxiety, …
Graphical representation displaying the percentages for each of the two primary factors in this figure (Gender and Sexual Orientation) across the four measures of mental health and three measures of …
Each measure of mental health (depression, anxiety, hazardous alcohol use, and problems related to substance use) was examined and coded according to its respective validated scale (PHQ-9, GAD-7, …
Measures | No Symptoms(Coded as 0) | Any Symptoms(Coded as 1) | |||
---|---|---|---|---|---|
Interim Recoded as 0 | Interim Recoded as 1 | Interim Recoded as 2 | Interim Recoded as 3 | Interim Recoded as 4 | |
PHQ-9 | 1–4: Minimal or No Depression | 5–9: Mild Depression | 10–14: Moderate Depression | 15–19: Moderately Severe Depression | 20–27: Severe Depression |
GAD-7 | 0–4: Minimal Anxiety | 5–9: Mild Anxiety | 10–14: Moderate Anxiety | 15–21: Severe Anxiety | |
AUDIT | 0–7: Low Risk | 8–15: Hazardous | 16–19: Harmful | 20+: Possible Dependence | |
DAST-10 | 0: No problems | 1–2: Low Problems | 3–5: Moderate Problems | 6–8: Substantial Problems | 9–10: Severe Problems |
Source code for SAS code and sample model.
STROBE checklist.