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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.