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Table 1 Stroke and MI and Its Correlation with Income, Pooled and Subsample Analysis

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

  Pooled Male Female Rural Urban
Variables [1] [2] [3] [4] [5]
Income
 20~40% − 0.231** − 0.0370 −0.349** − 0.115 −0.178
  (− 2.097) (− 0.358) (− 2.026) (− 0.793) (−1.017)
 40~60% − 0.504*** − 0.253** −0.838*** − 0.438*** −0.0904
  (− 2.827) (− 1.963) (− 3.469) (− 2.592) (− 0.375)
 60~80% − 0.238 0.119 − 0.608** −0.309** − 0.183
  (− 1.374) (0.706) (− 2.388) (− 2.065) (− 0.888)
 80~100% − 0.541*** − 0.165 − 0.971*** − 0.573*** − 0.304
  (− 2.739) (− 1.021) (− 3.584) (− 3.922) (− 0.884)
Weighted Obs. 1,601,683,722 878,822,001 722,529,940 1,176,985,245 424,698,477
 Year Y Y Y Y Y
 Fixed Effects Province Province Province Province Province
  1. Notes: Robust z-statistics in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1. The results in table were from three-year pooled data. 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