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Table 3 The relationship between family average income and self-reported stroke prevalence in 2000 and 2011 among urban residents in Nanjing, China

From: Re-look at socioeconomic inequalities in stroke prevalence among urban Chinese: is the inflexion approaching?

 

The S2000 study

The S2011 study

P value for comparison of ORs between S2000 and S2011b

P value for comparison of Adjusted ORs between S2000 and S2011b

Variables

FAI Category

Stroke (% and n)

Unadjusted Odds ratio (95%CI)

Adjusted Odds ratioa (95%CI)

Stroke (% and n)

Unadjusted Odds ratio (95%CI)

Adjusted Odds ratioa (95%CI)

  

Overall

 

Lower

1.1 (79)

1

1

3.5 (103)

 

1

0.022

0.031

 

Middle

2.3 (144)

2.06 (1.57,2.72)

1.46 (1.07,1.97)

5.5 (130)

1.60 (1.23,2.08)

1.37 (1.01,1.88)

 

Higher

2.9 (193)

2.65 (2.04,3.45)

1.66 (1.19,2.32)

6.7 (167)

1.99 (1.55,2.56)

1.49 (1.09,2.03)

Age (yrs)

 35–49

 

Lower

0.3 (10)

1

1

0.6 (8)

 

1

0.580

0.448

 

Middle

0.1 (3)

0.41 (0.11,1.50)

0.34 (0.09,1.36)

0.6 (5)

1.02 (0.33,3.14)

1.33 (0.41,4.34)

 

Higher

0.0 (0)

0

0

0.9 (8)

1.59 (0.60,4.25)

2.17 (0.69,6.81)

 50–64

 

Lower

1.2 (23)

1

1

3.7 (31)

 

1

0.041

0.043

 

Middle

2.2 (50)

1.87 (1.14,3.07)

1.51 (0.89,2.56)

5.0 (48)

1.37 (0.87,2.18)

1.18 (0.69,2.01)

Higher

2.0 (52)

1.69 (1.03,2.78)

1.41 (0.79,2.52)

5.3 (45)

1.46 (0.91,2.33)

1.16 (0.66,2.03)

 65+

 

Lower

3.3 (46)

1

1

9.1 (64)

 

1

0.004

0.013

 

Middle

6.9 (91)

2.19 (1.52,3.15)

1.69 (1.13,2.52)

13.8 (77)

1.60 (1.13,2.28)

1.50 (0.99, 2.29)

 

Higher

9.4 (141)

3.05 (2.17,4.28)

2.21 (1.43,3.42)

15.2 (114)

1.80 (1.30,2.49)

1.58 (1.06,2.35)

Gender

 Women

 

Lower

0.9 (32)

1

1

3.1 (45)

 

1

0.014

0.011

 

Middle

1.9 (58)

2.15 (1.39,3.32)

1.88 (1.17,3.03)

4.1 (52)

1.33 (0.89,2.00)

1.39 (0.85,2.26)

 

Higher

2.5 (81)

2.88 (1.91,4.35)

2.21 (1.30,3.74)

6.1 (71)

2.02 (1.38,2.96)

1.74 (1.06,2.84)

 Men

 

Lower

1.4 (47)

1

1

3.8 (58)

 

1

0.032

0.052

 

Middle

2.7 (86)

1.97 (1.38,2.82)

1.21 (0.82,1.81)

7.0 (78)

1.88 (1.33,2.67)

1.33 (0.88,2.00)

 

Higher

3.4 (112)

2.46 (1.74,3.47)

1.36 (0.88,2.11)

7.2 (96)

1.95 (1.40,2.73)

1.23 (0.82,1.85)

  1. aMixed-effects logistic regression models were used to calculate odds ratios with adjustment for age, gender, education, occupation, healthcare payment, BMI, smoking, alcohol drinking, red-meat consumption, diabetes, high blood pressure, leisure-time physical activity and survey area (potential clustering effects at survey area level)
  2. bLogistic regression models were used to make comparison of ORs between the two studies, with stroke as the outcome variable, FAI, survey (S2000/S2011) and the FAI-by-survey interaction term as the explanatory variables. For the comparison of Adjusted ORs between tow studies, all related potential confounders were controlled in analysis
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BMC Public Health

ISSN: 1471-2458

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