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Table 1 Association of family average income and conventional potential confounders

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

Characteristic Family Average Income (n, %*) p value**
  Lower (N = 9689) Middle (N = 8991) Higher (N = 10660)  
Age group(yrs)     
   35–49 4127 (42.6) 4880 (54.3) 4205 (39.4) < 0.001
   50–64 3142 (32.4) 2696 (30.0) 4115 (38.6)  
   65+ 2420 (25.0) 1415 (15.7) 2340 (22.0)  
Gender     
   Female 5063 (52.3) 4436 (49.3) 5243 (49.2) 0.581
   Male 4626 (47.7) 4555 (50.7) 5417 (50.8)  
Area     
   Rural 6469 (66.8) 2624 (29.2) 386 (3.6) < 0.001
   Urban 3220 (33.2) 6367 (70.8) 10274 (96.4)  
Education (yrs)     
   0–9 9018 (93.1) 6872 (76.4) 3947 (37.0) < 0.001
   10–12 641 (6.6) 1770 (19.7) 3070 (28.8)  
   13+ 30 (0.3) 349 (3.9) 3643 (34.2)  
Occupation    
   Blue collar 7585 (78.3) 5538 (61.6) 2742 (25.7) < 0.001
   Service people 1681 (17.3) 1326 (14.7) 652 (6.1)  
   White collar 423 (4.4) 2127 (23.7) 7266 (68.2)  
BMI (kg/m2)     
   24- 6761 (69.8) 5366 (59.7) 5967 (56.0) < 0.001
   24–28 2362 (24.4) 2834 (31.5) 3757 (35.2)  
   28+ 566 (5.8) 791 (8.8) 936 (8.8)  
Cigarette Smoking     
   Never 6393 (66.0) 6060 (67.4) 7994 (75.0) < 0.001
   Ex/Current 3296 (34.0) 2931 (32.6) 2666 (25.0)  
Alcohol consumption     
   No 7468 (77.1) 7099 (79.0) 9003 (84.5) < 0.001
   Ex/Current 2221 (22.9) 1892 (21.0) 1657 (15.5)  
Diabetes     
   No 9640 (99.5) 8844 (98.4) 10227 (95.9) < 0.001
   Yes 49 (0.5) 147 (1.6) 433 (4.1)  
High blood pressure     
   No 6505 (67.1) 6108 (67.9) 6987 (65.5) 0.013
   Yes 3184 (32.9) 2883 (32.1) 3673 (34.5)  
Occupational physical activity     
   Light 4292 (44.3) 6242 (69.4) 9761 (91.6) < 0.001
   Moderate 1125 (11.6) 1157 (12.9) 643 (6.0)  
   Vigorous 4272 (44.1) 1592 (17.7) 256 (2.4)  
Leisure-time physical activity     
   Light 7281 (75.1) 7502 (83.4) 8957 (84.0) < 0.001
   Moderate 2089 (21.6) 1374 (15.3) 1643 (15.4)  
   Vigorous 319 (3.3) 115 (1.3) 60 (0.6)  
  1. * Percentages across column.
  2. **P value between sub-groups of each variable.
  3. †Blue collar = farmer, factory worker, forestry worker, fisher and military person; Service people = salespeople, house worker and vehicle driver; White collar = office worker, teacher, doctor and academic researcher, government officer.