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Table 5 Associations between migration city type and health services use among healthy aged migrant workers based on a logistic regression analysis

From: The health service use of aged rural-to-urban migrant workers in different types of cities in China

Variables

Health records

Health education

Medical treatment

Migration region

  Self-assessment is healthy

Model 1

Model 1

Model 1

  Ref: Western

(n = 8466)

(n = 8466)

(n = 3266)

  Central

0.42(0.06)***

-0.32(0.06)***

-0.12(0.10)

  Eastern

-0.55 (0.06)***

-0.87(0.06)***

-0.19(0.08)*

  no hypertension or diabetes

Model 2

Model 2

Model 2

  Ref: Western

(n = 11345)

(n = 11345)

(n = 5085)

  Central

0.45(0.05)***

-0.34(0.05)***

-0.06(0.07)

  Eastern

-0.63(0.06)***

-0.91(0.05)***

-0.20(0.07)**

Migration city type

  Self-assessment is healthy

Model 3

Model 3

Model 3

  Ref: third-tier cities and smaller cities

(n = 8466)

(n = 8466)

(n = 3266)

  Second-tier cities

-0.18(0.06)**

-0.31(0.05)***

-0.26(0.08)***

  First-tier cities

-1.05(0.11)***

-0.57(0.08)***

-0.49(0.12)***

  no hypertension or diabetes

Model 4

Model 4

Model 4

  Ref: third-tier cities

(n = 11345)

(n = 11345)

(n = 5085)

  Second-tier cities

-0.25(0.05)***

-0.30(0.05)***

-0.31(0.06)***

  First-tier cities

-1.10(0.10)***

-0.59(0.07)***

-0.52(0.11)***

  1. Note: * p < 0.05; ** p < 0.01; *** p < 0.001. Potential confounding variables have been controlled.