. 2022 Dec 1;22:2242. doi: 10.1186/s12889-022-14633-4

Table 3.

Adjusted logistic regression models for experiencing unmet healthcare needs, stratified by sex (Sept. – Dec. 2020)

	Males		Females		Interaction term
	aOR (95% CI)^a	Sample Size (N)	aOR (95% CI)^a	Sample Size (N)	P-value^b
Challenges in accessing healthcare
Depression
Negative	Reference	10,244	Reference	11,232	0.075
Positive	1.84 (1.64, 2.06)	10,244	2.05 (1.87, 2.56)	11,232	0.075
Anxiety
Negative	Reference	10,103	Reference	10,921	0.016
Positive	1.91 (1.53, 2.39)	10,103	2.59 (2.20, 3.05)	10,921	0.016
Not going to a hospital or seeing a doctor when needed
Depression
Negative	Reference	10,247	Reference	11,241	0.718
Positive	2.82 (2.37, 3.35)	10,247	2.92 (2.53, 3.37)	11,241	0.718
Anxiety
Negative	Reference	10,107	Reference	10,930	0.568
Positive	3.22 (2.42, 4.27)	10,107	2.99 (2.43, 3.68)	10,930	0.568
Experiencing barriers to accessingtesting for COVID-19
Depression
Negative	Reference	10,235	Reference	11,238	0.124
Positive	1.74 (1.39, 2.19)	10,235	2.21 (1.80, 2.71)	11,238	0.124
Anxiety
Negative	Reference	10,096	Reference	10,927	0.272
Positive	1.70 (1.13, 2.59)	10,096	2.19 (1.62, 2.96)	10,927	0.272

^aAdjusted for age, geographic region, urban/rural, racial background, immigrant status, income, marital status, work status, chronic conditions, unmet needs (pre-pandemic)

^bWhile aORS were calculated using stratified samples, the interaction term was calculated using the full, unstratified sample sizes shown in Table 2 for the adjusted models