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Table 4 Multivariate logistic regression analysis of the explanatory variables of CDPTE utilization

From: Factors influencing utilization of communicable disease prevention and treatment education among the floating population: a cross-sectional study in China

Variables in the equation

B (SE)

Wald

OR (95%CI)

P

Predisposing variables

    

Sex (Ref = Female)

    

Male

0.096 (0.012)

61.204

1.100 (1.074, 1.127)

< 0.001

Age (Ref = ≥ 50)

    

15–19

0.046 (0.049)

0.878

1.047 (0.951, 1.154)

0.349

20–29

0.038 (0.023)

2.745

1.039 (0.993, 1.087)

0.098

30–39

0.118 (0.021)

31.802

1.125 (1.080, 1.173)

< 0.001

40–49

0.138 (0.021)

42.760

1.148 (1.101, 1.196)

< 0.001

Marital status (Ref = Married)

    

Unmarried

0.143 (0.019)

58.763

1.154 (1.113, 1.197)

< 0.001

Education attainment (Ref = Primary school or below)

    

Middle school

0.204 (0.018)

123.735

1.227 (1.183, 1.272)

< 0.001

High school or secondary

0.302 (0.021)

206.576

1.352 (1.297, 1.409)

< 0.001

University or college and above

0.245 (0.023)

112.664

1.278 (1.221, 1.337)

< 0.001

Enabling factors

    

Household monthly income (Ref = <;4,000)

    

4,000–5,499

0.016 (0.020)

0.654

1.016 (0.978, 1.056)

0.419

5,500-7,499

0.033 (0.021)

2.606

1.034 (0.993, 1.077)

0.106

7,500-9,999

0.059 (0.023)

6.825

1.061 (1.015, 1.109)

0.009

≥ 10,000

-0.057 (0.021)

7.062

0.945 (0.906, 0.985)

0.008

Average weekly working time (Ref = ≤ 40)

    

41–69

0.166 (0.014)

132.406

1.181 (1.148, 1.214)

< 0.001

≥ 70

0.161 (0.016)

103.180

1.174 (1.138, 1.211)

< 0.001

Survey region (Ref = East)

    

Central

0.410 (0.018)

535.782

1.507 (1.456, 1.560)

< 0.001

West

0.602 (0.015)

1647.828

1.826 (1.774, 1.880)

< 0.001

Northeast

-0.108 (0.026)

17.962

0.897 (0.853, 0.943)

< 0.001

Need factors

    

Had health record (Ref = No)

    

Yes

0.644 (0.015)

1855.456

1.904 (1.849, 1.960)

< 0.001

Contracted family doctor (Ref = No)

    

Yes

0.430 (0.021)

437.267

1.537 (1.477, 1.601)

< 0.001

Self-evaluation general health status (Ref = Good)

    

Other

-0.288 (0.018)

242.946

0.750 (0.723, 0.778)

< 0.001

Migration characteristics factors

    

Length of migration (Ref = ≤ 3)

    

4–6

-0.044 (0.016)

7.794

0.957 (0.928, 0.987)

0.005

7–9

-0.014 (0.018)

0.568

0.986 (0.952, 1.022)

0.451

≥ 10

-0.054 (0.016)

11.128

0.947 (0.918, 0.978)

< 0.001

Range of migration (Ref = Inter-provincial)

    

Intra-provincial

0.165 (0.014)

139.828

1.180 (1.148, 1.212)

< 0.001

Inter-country within the city

0.171 (0.018)

93.503

1.187 (1.146, 1.229)

< 0.001

  1. Footnote: Full regression models significantly explained the variance in CDPTE utilization among the migrants (p = 0.000)
  2. The model explained between 7.0% (Cox and Snell R square) and 9.5% (Nagelkerke R square) of the variance in the utilization of CDPTE