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Prevalence of stroke (% and n/N) and its association with Family Average Income (FAI), Education and Occupation in Nanjing, China |
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| Prevalence (n and %) |
Adj. odds ratio (95% CI) |
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|
|
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| Stroke |
Non-stroke |
Model 1* |
Model 2 § |
Model 3# |
|
|
|
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| Overall |
453 (1.5) |
28887 (98.5) |
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| FAI (Tertile) |
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| 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) |
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| 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† |
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| 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) |
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n = number of participants with stroke within sub-group; N = total number of participants within sub-group. The lower FAI was the reference category. * Model 1: Only FAI, education or occupation was entered logistic regression model as the single predictor, the odds ratios were un-adjusted. © Model 2: Odds ratios adjusted for age, gender, area of residence. # 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. †Blue collar = farmer, factory worker, forestry worker, fisher; Service people = salespeople, house worker; White collar = office worker, teacher, doctor. | |||||
Xu et al. BMC Public Health 2008 8:170 doi:10.1186/1471-2458-8-170 |
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