Table 3 Regression results of the association of FDCS with the health.

From: The association between family doctor contract services and the health of middle-aged and older people in China: an instrumental variables analysis

Variables

(1)

(2)

(3)

(4)

(5)

HR-QoL

PCS

MCS

Subjective well-being

Cognitive function

FDCS

1.084**

 − 0.023

2.196***

0.087***

0.354***

(No = 0)

(0.509)

(0.671)

(0.603)

(0.031)

(0.106)

Gender

3.244***

5.033***

1.427***

0.024*

0.280***

(Female = 0)

(0.227)

(0.295)

(0.279)

(0.014)

(0.052)

Resident

 − 1.423

 − 0.931

 − 0.694

0.273

1.522**

(Rural = 0)

(3.436)

(4.430)

(4.769)

(0.178)

(0.679)

Age

 − 0.226***

 − 0.234***

 − 0.238***

0.006***

 − 0.030***

(Continuous variables)

(0.012)

(0.015)

(0.014)

(0.001)

(0.003)

Education

2.880***

1.982***

3.817***

 − 0.033**

0.620***

(Elementary school and below = 0)

(0.233)

(0.305)

(0.280)

(0.014)

(0.050)

Marriage

3.135*

3.527*

2.745

0.043

0.538

(Without spouse)

(1.672)

(1.977)

(1.949)

(0.096)

(0.440)

Insurance

 − 0.540

 − 2.133***

1.037

0.150***

0.148

(No = 0)

(0.627)

(0.789)

(0.760)

(0.044)

(0.171)

Chronic

 − 4.809***

 − 7.651***

 − 2.059***

 − 0.122***

0.031

(No = 0)

(0.197)

(0.254)

(0.241)

(0.012)

(0.044)

Smoke

 − 0.202

0.311

-0.811

 − 0.092***

 − 0.059

(No = 0)

(0.495)

(0.647)

(0.586)

(0.029)

(0.105)

Drink

2.136***

1.760***

2.559***

0.017

 − 0.006

(No = 0)

(0.229)

(0.299)

(0.280)

(0.014)

(0.051)

Ln (household income)

0.952***

0.865***

1.037***

0.025***

0.066***

 

(0.045)

(0.058)

(0.055)

(0.003)

(0.011)

Constant term

70.545***

76.720***

63.919***

2.583***

7.475***

 

(4.377)

(5.663)

(5.708)

(0.237)

(0.928)

Area fixed effects

YES

YES

YES

YES

YES

Community fixed effects

YES

YES

YES

YES

YES

N

17,649

17,762

17,890

17,892

9,441

R-squared

0.268

0.217

0.207

0.082

0.157

  1. (1) The value in parentheses is the standard error.
  2. (2) *, **, and *** represent statistical significance at the 10%, 5%, and 1% levels, respectively.
  3. (3) Due to the presence of missing values for the dependent variable, the regression analysis was analyzed again using multiple interpolation to supplement the sample size. The results in Table S1 shows that the direction of the coefficients of the dependent variable are consistent with the above results and results remain significant, indicating the results are robust.
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