Skip to main content
letter
. 2021 Jan 20;44(3):e38–e39. doi: 10.2337/dc20-2453

Table 1.

Diagnosed or undiagnosed hypertension and DM by citizenship status among U.S. adults, N = 15,201

Total (N = 15,201) Native-born citizen (N = 10,618) Naturalized citizen (N = 2,381) Noncitizen (N = 2,202) P value
Hypertension, N (population weighted %) <0.001
 No hypertension 8,946 (62.7) 5,993 (61.4) 1,386 (63.1) 1,567 (74.3)
 Diagnosed hypertension 5,539 (32.8) 4,190 (34.5) 856 (31.3) 493 (18.6)
 Undiagnosed hypertension 716 (4.5) 435 (4.1) 139 (5.6) 142 (7.1)
Diabetes, N (population weighted %) <0.001
 No diabetes 12,772 (88.0) 8,968 (88.2) 1,915 (85.0) 1,889 (89.5)
 Diagnosed diabetes 1,999 (10.0) 1,398 (10.1) 377 (12.1) 224 (7.3)
 Undiagnosed diabetes 430 (2.0) 252 (1.7) 89 (2.9) 89 (3.2)
Crude logistic regression models, OR (95% CI)
 Hypertension (ref. no hypertension) Ref. 0.93 (0.84, 1.03) 0.55 (0.47, 0.65)
 Diabetes (ref. no diabetes) Ref. 1.32 (1.16, 1.50) 0.87 (0.75, 1.02)
Multivariate logistic regression models, OR (95% CI)
 Hypertension (ref. no hypertension) Ref. 0.97 (0.83, 1.14) 0.90 (0.72, 1.11)
 Diabetes (ref. no diabetes) Ref. 1.04 (0.87, 1.24) 0.98 (0.82, 1.17)
Crude multinomial regression models, OR (95% CI)
 Hypertension (ref. no hypertension)
  Diagnosed hypertension Ref. 0.82 (0.64, 1.05) 0.74 (0.53, 1.04)
  Undiagnosed hypertension Ref. 1.39 (1.03, 1.87) 1.78 (1.35, 2.34)
 Diabetes (ref. no diabetes)
  Diagnosed diabetes Ref. 1.24 (1.09, 1.43) 0.71 (0.60, 0.84)
  Undiagnosed diabetes Ref. 1.74 (1.31, 2.31) 1.81 (1.31, 2.50)
Multivariate multinomial regression models, OR (95% CI)
 Hypertension (ref. no hypertension)
  Diagnosed hypertension Ref. 1.06 (0.76, 1.49) 1.28 (0.79, 2.07)
  Undiagnosed hypertension Ref. 1.41 (1.01, 1.95) 1.41 (0.98, 2.03)
 Diabetes (ref. no diabetes)
  Diagnosed diabetes Ref. 0.96 (0.78, 1.18) 0.80 (0.64, 0.99)
  Undiagnosed diabetes Ref. 1.56 (1.18, 2.06) 2.01 (1.43, 2.83)

Base comparison group: no hypertension or diabetes. Referent (Ref.): native-born citizens. Multivariate models adjusted for race/ethnicity, sex, age, income, marital status, education, smoking status, activity levels, BMI, and health insurance.