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Table 3 Logit regression results of the association between Urban and Rural Resident Basic Medical Insurance and instrumental activity of daily living disability among the middle-aged and older adults in China

From: The association between Urban and Rural Resident Basic Medical Insurance and instrumental activity of daily living disability among middle-aged and older adults in China

Variable

Model 1

Model 2

Model 3

Model 4

URRBMI

0.5696**

0.5583**

0.6039**

0.6014**

(0.0845)

(0.0920)

(0.1008)

(0.1034)

Age

 

1.0660**

1.0605**

1.0631**

 

(0.0076)

(0.0074)

(0.0071)

Gender

 

0.4834**

0.5555**

0.5557**

 

(0.0555)

(0.0662)

(0.0673)

Marital status

 

1.1825

1.2423

1.2905

 

(0.1837)

(0.1980)

(0.2097)

Residency area

 

0.7456

0.7913

0.8927

 

(0.1348)

(0.1460)

(0.1577)

Education status

  

0.6136**

0.6260**

  

(0.1031)

(0.1044)

Household income

  

0.9270**

0.9320**

  

(0.0177)

(0.0171)

PM2.5 concentrations

   

0.9987

   

(0.0069)

Having tap water

   

0.4713**

   

(0.0903)

Constant

0.4518**

0.0113**

0.0354**

0.0507**

(0.0533)

(0.0057)

(0.0188)

(0.0310)

Number of observations

1,924

1,924

1,924

1,924

Wald chi-squared

14.39**

117.26**

152.29**

208.52**

Pseudo R-squared

0.0083

0.0789

0.0934

0.1068

  1. Robust standard errors that clustered at the community level are reported in parentheses. **p < 0.01. URRBMI indicates Urban and Rural Resident Basic Medical Insurance. PM2.5 indicates Particulate Matter 2.5