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Table 5 Logistic regression model on healthcare underutilization in middle-aged and elderly adults

From: Social health insurance, healthcare utilization, and costs in middle-aged and elderly community-dwelling adults in China

Variables/categories

Odds Ratio

Std. Err.

Odds Ratio

Std. Err.

Odds Ratio

Std. Err.

Health insurance; ref.: Not covered by social health insurance

 UEMI

0.593***

0.102

    

 URMI

  

0.892**

0.111

  

 NCMI

    

0.757**

0.113

Female, ref.: Male

0.829

0.121

1.021

0.186

1.099

0.069

Age in years; ref.:<=50

  > 50 and <=65

0.642**

0.121

0.664*

0.142

0.800**

0.061

  > 65

0.489**

0.102

0.580**

0.150

0.696***

0.065

Educational level; ref.: Less than lower secondary education

 Single/divorced/widowedUpper secondary & vocational training

1.013

0.183

1.532

0.376

0.892

0.127

 Single/divorced/widowedTertiary education

0.878

0.303

0.800

0.928

1.087

0.818

Marital status; ref.:

 Single/divorced/widowed

      

 Married/cohabiting

0.722*

0.140

0.845

0.194

0.715***

0.058

Health status (self-reported); ref.: Excellent

 Very good

1.119***

0.059

1.207***

0.095

1.129***

0.027

 Good

1.396**

0.128

1.276**

0.120

1.212***

0.035

 Fair

1.597*

0.089

1.411**

0.138

1.381***

0.049

 Poor

1.131

0.315

0.636

0.222

0.715

0.097

Income level; ref.: Lowest quintile

 Second quintile

0.734***

0.091

0.838**

0.104

1.121

0.098

 Third quintile

0.722 **

0.121

0.841**

0.114

1.038

0.095

 Fourth quintile

0.651*

0.129

0.690***

0.045

0.921*

0.133

 Highest quintile

0.532*

0.130

0.380**

0.124

0.899**

0.097

Live in Urban or Rural; ref.: urban

1.607**

0.107

1.600*

0.143

1.802***

0.055

  1. Note: *** implies p-value < 0.001, ** indicates p-value < 0.01, * implies p-value < 0.05
  2. Estimates were weighted using individual sampling weights and adjusted for household and individual responses