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Table 2 Association between socioeconomic status and the prevalence of hypertension among adults in Nanjing

From: Association of socioeconomic status with hypertension prevalence and control in Nanjing: a cross-sectional study

Characteristics Overall (N = 60,283) Male(N = 29,848) Female (N = 30,435)
individuals with hypertension (n/%) OR(95%CI) Adjusted OR(95%CI)b individuals with hypertension (n/%) OR(95%CI) Adjusted OR(95%CI)c individuals with hypertension (n/%) OR(95%CI) Adjusted OR(95%CI)ǂ
Education, n (%)
 College 3491 (12.6) Ref Ref 2487 (17.0) Ref Ref 1004 (7.6) Ref Ref
 Junior/Senior 9486 (35.1) 3.94 (3.77,4.12) 1.41 (1.33,1.49) 5161 (38.4) 3.15 (2.98,3.33) 1.28 (1.19,1.38) 4325 (31.8) 6.04 (5.60,6.51) 1.62 (1.48,1.78)
 Primary 2709 (49.6) 7.19 (6.74,7.67) 1.56 (1.43,1.70) 931 (52.1) 5.55 (5.01,6.16) 1.40 (1.23,1.59) 1778 (48.4) 12.17 (11.08,13.36) 1.75 (1.55,1.97)
Occupation, n (%)
 Unemployed and retired people 8172 (49.5) Ref Ref 3493 (59.8) Ref Ref 4679 (43.8) Ref Ref
 Mental laborers/Students 3129 (13.5) 0.14 (0.15,0.16) 0.70 (0.65,0.75) 2275 (17.7) 0.14 (0.13,0.15) 0.74 (0.67,0.81) 854 (8.2) 0.11 (0.10,0.12) 0.64 (0.58,0.71)
 Service staff 1113 (15.5) 0.19 (0.17,0.20) 0.76 (0.70,0.83) 639 (18.3) 0.15 (0.14,0.17) 0.73 (0.64,0.83) 474 (12.8) 0.18 (0.17,0.21) 0.83 (0.73,0.94)
 Manual laborers 3272 (24.5) 0.33 (0.31,0.35) 0.88 (0.83,0.94) 2172 (28.3) 0.26 (0.25,0.28) 0.89 (0.81,0.98) 1100 (19.4) 0.31 (0.28,0.33) 0.88 (0.81,0.97)
Annual household income,tertiles range(¥)a
 Higher (≥ 108,000) 1242 (27.1) Ref Ref 731 (33.0) Ref Ref 511 (21.5) Ref Ref
 Middle (≤ 60,000 < 108,000) 2139 (39.5) 1.81 (1.65,1.97) 1.10 (0.98,1.22) 1129 (44.1) 1.65 (1.46,1.87) 1.02 (0.88,1.19) 1010 (35.4) 2.03 (1.79,2.31) 1.16 (0.99,1.36)
 Lower (< 60,000) 1508 (44.9) 2.23 (2.02,2.46) 1.35 (1.19,1.52) 715 (50.0) 2.05 (1.78,2.36) 1.41 (1.18,1.68) 793 (41.1) 2.58 (2.25,2.97) 1.29 (1.08,1.53)
  1. aAnnual household income was collected from 13,355 subjects providing verified information about their family's income(male 6202,female 7153)
  2. bMixed model analysis with adjusted for age, gender, marriage, smoking, alcohol drinking, family history, salt intake, physical activity, BMI and dyslipidemia
  3. cMixed model analysis with adjusted for age, marriage, smoking, alcohol drinking, family history, salt intake, physical activity, BMI and dyslipidemia