Table 4.

Logistic regression models explaining the health variables according to migration status and country of birth (OR and 95% CI)

		Poor self-assessed health			Chronic disease			Functional limitation
		Model	Model	Model	Model	Model	Model	Model	Model	Model
		1	2	3	1	2	3	1	2	3
Migration status and country of birth	Native-born French	1	1	1	1	1	1	1	1	1
	Born French outside French Guiana	0.36(0.16-0.79)	0.58(0.25-1.34)	0.53(0.22-1.28)	0.56(0.19-1.64)	0.66(0.26-1.71)	0.59(0.22-1.57)	0.41(0.12-1.35)	0.49(0.11-2.23)	0.44(0.09-2.27)
	Naturalized immigrant	1.33 (0.61- 2 .88)	1.26(0.58-2.76	1.22(0.57-2.60)	1.89(1.09-3.29)	2.00(1.05-3.80)	1.89(0.90-3.96)	1.40(0.62-3.16)	1.29(0.51-3.24)	1.11(0.44-2.82)
	Long-term documented immigrant	1.43(0.68-3.01)	1.07(0.55-2.10)	1.12(0.55-2.25)	1.45(0.61-3.43)	1.39(0.59-3.29)	1.44(0.60-3.45)	1.12(0.72-1.75)	1.02(0.64-1.63)	0.98(0.58-1.65
	Temporary documented immigrant	2.32(1.05-5.11)	1.70(0.82-3.53)	1.78(0.87-3.66)	1.39(0.70-2.75)	1.23(0.61-2.51)	1.21(0.56-2.61)	0.97(0.30-3.08	0.73(0.17-3.03)	0.56(0.14-2.31)
	Undocumented immigrant born in Surinam	3.29(1.11-9.70)	2.40(0.91-6.34)	2.82(0.99-8.40)	3.79(1.73-8.31)	4.07(1.80-9.22)	4.29(1.55-11.84)	4.20(1.89-9.33)	4.17(1.30-13.39)	3.04(1.02-9.03)
	Undocumented immigrant born in Haiti	3.00(0.63-14.22)	1.63(0.33-8.01	1.54(0.31-7.74)	1.60(0.35-7.20)	1.22(0.27-5.57)	1.12(0.23-5.51)	0.37(0.16-0.83)	0.16(0.06-0.42)	0.13(0.05-0.36)
	Undocumented immigrant born elsewhere	2.72(0.57-12.88)	2.35(0.55-9.98)	2.79(0.59-13.13)	2.94(0.73-11.80)	2.52(0.61-10.35)	2.57(0.53-12.44)	1.97(0.30-13.02)	1.89(0.36-9.89)	1.34(0.16-10.95)

Model 1: Adjusted for age and gender.

Model 2: Adjusted for age, gender, city and socioeconomic variables (education level, occupational status and perceived financial situation).

Model 3: Adjusted for age, gender, city, socioeconomic variables and psychosocial variables (fluency in French and social isolation).