Table 4 Results of binary logistic regression model

 Urban

Ref.

Ref.

 Rural

0.31 (0.08–1.14)

0.16 (0.02–1.49)

 1–5

Ref.

Ref.

 6–10

2.15 (0.44–10.44)

5.95 (0.33–108.77)

  ≥ 11

0.21 (0.05–0.94)*

0.57 (0.05–6.83)

  ≤ 10

Ref.

Ref.

 11–17

5.71 (0.92–35.48)

26.17 (0.76–904.54)

  ≥ 18

3.81 (0.99–14.65)

9.94 (0.37–270.00)

 Public construction and operation

Ref.

Ref.

 Public construction and private operation

5.14 (0.81–32.77)

2.77 (0.17–45.24)

 Private construction and operation

3.57 (1.55–67.21)*

3.41 (0.19–61.15)

  ≤ 7

Ref.

Ref.

  > 7

0.75 (0.23–2.41)

0.50 (0.04–5.59)

 1–4

Ref.

Ref.

 5

3.16 (0.90–11.03)

0.88 (0.09–8.30)

  ≤ 65

Ref.

Ref.

  > 65

0.66 (0.21–2.12)

0.01 (0.00–0.64)*

  ≤ 25

Ref.

Ref.

  > 25

3.3 (0.98–11.07)

14.01 (0.60–326.01)

  < 2

Ref.

Ref.

  ≥ 2

1.19 (0.29–4.95)

0.75 (0.06–9.97)

 No

Ref.

Ref.

 Yes

1.91 (0.58–6.23)

1.12 (0.18–7.08)