Skip to main content

Table 2 Stroke and MI and Its Correlation with Income, Subsample Analysis

From: Disease and disparity in China: a view from stroke and MI disease

 

Eastern

Central

Western

Eastern

Central

Western

Variables

[1]

[2]

[3]

[4]

[5]

[6]

Income

 20~40%

− 0.231**

− 0.0370

− 0.349**

− 0.115

−0.178

− 0.231**

 

(− 2.097)

(− 0.358)

(− 2.026)

(− 0.793)

(− 1.017)

(− 2.097)

 40~60%

− 0.504***

−0.253**

− 0.838***

−0.438***

− 0.0904

−0.504***

 

(− 2.827)

(− 1.963)

(− 3.469)

(− 2.592)

(− 0.375)

(− 2.827)

 60~80%

− 0.238

0.119

− 0.608**

−0.309**

− 0.183

−0.238

 

(− 1.374)

(0.706)

(− 2.388)

(− 2.065)

(− 0.888)

(− 1.374)

 80~100%

− 0.541***

− 0.165

− 0.971***

−0.573***

− 0.304

−0.541***

 

(− 2.739)

(− 1.021)

(− 3.584)

(− 3.922)

(− 0.884)

(− 2.739)

Weighted Obs.

1,601,683,722

878,822,001

722,529,940

1,176,985,245

424,698,477

1,601,683,722

 Year

Y

Y

Y

Y

Y

Y

 Fixed Effects

Province

Province

Province

Province

Province

Province

  1. Notes: Robust z-statistics in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1. Column [1] to [3] were regression results from three-year pooled data, Column [4] to [6] were results by using data in 2013 only. All regressions were controlled for Gender, Rural-Urban status, East, West, and Central regions, Drinking Behavior, Job Type, and Age Groups. Logistic regression results are expressed in the form of natural logarithm odds ratio