Table 4.

Multivariate logistic regression showing significant factors associated with reporting symptoms of mental disorders that warrant further inquiry, Saudi Arabia, 2021.

Participant Characteristics	Anxiety Domain OR (95% CI)	Somatic Symptoms OR (95% CI)	Anger OR (95% CI)	Sleep Problems OR (95% CI)	Substance Use OR (95% CI)	Repetitive Thoughts and Behaviors OR (95% CI)	Psychosis OR (95% CI)	Dissociation OR (95% CI)	Memory OR (95% CI)
Age group: 18–20 years vs. 25–30 years	2.3 (1.1–4.5)
Female vs. male gender	1.8 (1.1–2.8)
Current student vs. non-student status		1.6 (1.1–2.4)		1.5 (1.0–2.1)
Education level
Prior diagnosis of mental disorder	5.1 (1.9–13.3)	3.7 (1.7–8.1)	3.9 (1.8–8.3)	4.8 (2.3–10.3)	3.4 (1.7–6.7)	7.4 (3.2–16.9)	2.0 (1.6–5.8)	5.1 (2.5–10.4)	2.5 (1.3–4.6)
Diagnosed with or treated for COVID-19							1.8 (1.1–3.0)	1.7 (1.0–2.9)

Logistic regression analysis was used to describe participant characteristics associated with identifying with different symptoms under a domain that would further inquiry. Participant characteristics served as independent variables, whereas each of the 13 domains served as a dependent variable in isolation. Thus, there were 13 different models built. A limited number of participants prevented further stratified analyses to assess for interactions. No participant factors were retained in the final models for depression, mania, personality functioning, and suicidal ideation.