. Author manuscript; available in PMC: 2022 Feb 1.

Published in final edited form as: Transcult Psychiatry. 2020 Apr 11;58(1):126–139. doi: 10.1177/1363461520916697

Table 3.

Multivariate Regression Models predicting the likelihood of specific diagnosis

Outcome:	Depression^a	Depression^b	Anxiety	Anxiety	Psychosis	Psychosis	Substance Use Disorder	Substance Use Disorder	Personality Disorder	Personality Disorder

Geographical Origin (ref=Spaniards)
Latinos	1.54	1.14	2.63^*	2.13	0.34^**	0.42^*	0.67	0.97	1.03	1.24
	[0.79,3.01]	[0.56,2.35]	[1.06,6.56]	[0.83,5.49]	[0.18,0.65]	[0.21,0.83]	[0.31,1.44]	[0.43,2.19]	[0.50,2.13]	[0.55,2.79]
North Africans	0.79	0.97	3.05^*	2.87	0.85	0.82	0.83	0.87	0.38	0.33
	[0.31,2.01]	[0.35,2.65]	[1.06,8.79]	[0.92,8.91]	[0.39,1.85]	[0.35,1.96]	[0.31,2.22]	[0.30,2.58]	[0.12,1.26]	[0.08,1.34]
Asians	0.80	0.98	5.42^**	7.25^**	0.68	0.37	0.69	1.07	0.21	0.18
	[0.23,2.72]	[0.25,3.85]	[1.63,18.00]	[1.93,27.26]	[0.23,1.95]	[0.10,1.32]	[0.18,2.69]	[0.24,4.76]	[0.03,1.70]	[0.02,1.84]
Eastern Europeans	0.81	1.05	2.18	2.75	0.91	0.60	1.19	1.6	0.44	0.44
	[0.28,2.34]	[0.33,3.32]	[0.65,7.36]	[0.77,9.89]	[0.38,2.20]	[0.22,1.63]	[0.42,3.36]	[0.51,5.03]	[0.12,1.69]	[0.10,2.01]
Western Europeans	0.65	0.83	3.73^*	4.64^**	1.36	0.86	0.50	0.57	0.24	0.22
	[0.23,1.85]	[0.27,2.56]	[1.26,11.05]	[1.45,14.80]	[0.61,3.02]	[0.35,2.12]	[0.15,1.65]	[0.16,2.06]	[0.05,1.11]	[0.04,1.26]
Patient Gender (ref=Male)
Female		2.61^***		1.70		0.54^*		0.31^***		0.96
		[1.51,4.52]		[0.98,2.95]		[0.33,0.89]		[0.17,0.59]		[0.51,1.81]
Understand Spanish (ref=None/Little)
Quite/A lot		2.25		2.37		0.35^*		1.29		0.66
		[0.77,6.60]		[0.89,6.32]		[0.15,0.80]		[0.41,4.03]		[0.17,2.55]
Culture Influence (ref=None/Little)
Quite/A lot		1.21		1.86		0.47^*		0.59		1.04
		[0.64,2.27]		[1.00,3.48]		[0.23,0.96]		[0.26,1.38]		[0.48,2.29]
Clinician Comfort (ref=None/Little)
Quite/A lot		0.79		1.21		0.83		1.27		0.87
		[0.35,1.78]		[0.52,2.79]		[0.38,1.78]		[0.46,3.50]		[0.31,2.40]
N	369	366	369	366	369	366	369	366	369	366

Note. 95% Confidence Intervals of ORs are reported in brackets.

p<0.05,

^**

p<0.01,

^***

p<0.001. Two models are fitted for each outcome.

The first model is the null model that only adjusts for patient’s geographical origin.

The second model is the full model, which further adjusts for gender, language proficiency, level of the clinician’s perceptions of culture influence, and clinician’s comfort during the interview. Logistic Regression models were used to predict specific diagnosis.