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Table 3 Prevalence of stroke (% and n/N) and its association with Family Average Income (FAI), Education and Occupation in Nanjing, China

From: Impact of socio-economic factors on stroke prevalence among urban and rural residents in Mainland China

  Prevalence (n and %) Adj. odds ratio (95% CI)
  Stroke Non-stroke Model 1* Model 2 § Model 3#
Overall 453 (1.5) 28887 (98.5)    
FAI (Tertile)      
   Lower 63 (0.7) 9626 (99.3) 1 1 1
   Middle 107 (1.2) 8884 (98.8) 1.84(1.35, 2.52) 1.59(1.13, 2.23) 1.43(1.01, 2.02)
   Higher 283 (2.7) 10377 (97.3) 4.17 (3.17, 5.48) 2.32(1.69, 3.19) 1.94(1.40, 2.70)
Education (yrs)      
   0–9 269 (1.4) 19568 (98.6) 1 1 1
   10–12 70 (1.3) 5411 (98.7) 0.94 (0.72, 1.23) 1.18(0.89, 1.55) 1.08(0.82, 1.44)
   13+ 114 (2.8) 3908 (97.2) 2.12 (1.70, 2.65) 1.36(1.07, 1.72) 1.18(0.92, 1.51)
Occupation†      
   Blue collar 93 (0.6) 15772 (99.4) 1 1 1
   Service 34 (0.9) 3625 (99.1) 1.59 (1.07, 2.36) 0.89(0.60, 1.34) 0.80(0.53, 1.21)
   White collar 326 (3.3) 9490 (96.7) 5.83 (4.62, 7.35) 1.98(1.52, 2.57) 1.64(1.25, 2.15)
  1. n = number of participants with stroke within sub-group; N = total number of participants within sub-group. The lower FAI was the reference category.
  2. * Model 1: Only FAI, education or occupation was entered logistic regression model as the single predictor, the odds ratios were un-adjusted.
  3. © Model 2: Odds ratios adjusted for age, gender, area of residence.
  4. # Model 3: Odds ratios adjusted for age, gender, area of residence, BMI, smoking status, alcohol drinking, diabetes, high blood pressure, occupational and leisure-time physical activity.
  5. †Blue collar = farmer, factory worker, forestry worker, fisher; Service people = salespeople, house worker; White collar = office worker, teacher, doctor.