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Table 4 Binary logistic regression analysis of factors influencing the utilization of child health management services

From: Inequality in health service utilization among migrant and local children: a cross-sectional survey of children aged 0–14 years in Shenzhen, China

Variable

β

Standard error

Wald test

Df

P-Value

Exp(β)

95% confidence interval

Physical examination

 Constant

1.931

0.245

61.857

1

< 0.001

6.895

 Educational level of the mother (control = junior high school and below)

  Senior high school/ technical secondary school/ junior college

1.419

0.482

8.652

1

0.003

4.134

(1.606, 10.642)

  Bachelor’s degree or above

1.442

0.482

8.941

1

0.003

4.230

(1.644, 10.888)

Development guidance

 Constant

1.238

0.129

92.6775

1

< 0.001

3.449

 Household registration (control = local children) (P < 0.001)

  Migrant children

−0.874

0.205

18.085

1

< 0.001

0.417

(0.279,0.624)

Disease prevention guidance

 Constant

−0.298

0.195

2.353

1

0.125

0.742

 Educational level of the father (control = junior high school and below) (P = 0.001)

  Senior high school/ technical secondary school/ junior college

0.251

0.248

1.029

1

0.310

1.286

(0.791,2.090)

  Bachelor’s degree or above

0.814

0.238

11.739

1

0.001

2.257

(1.417,3.595)

Injury prevention guidance

 Constant

−0.088

0.242

0.132

1

0.716

0.916

 Occupation of the father (control = White-collar workers) (P = 0.002)

  Blue-collar workers

−0.288

0.413

0.487

1

0.485

0.750

(0.334, 1.684)

  Mixed white/blue-collar workers

−0.622

0.203

9.381

1

0.002

0.537

(0.361, 0.799)

  Others

−1.240

0.418

8.808

1

0.003

0.289

(0.128, 0.656)

 Annual family income (control = ≤0.15 million yuan) (P = 0.001)

 

  0.15–0.5 million yuan

0.476

0.227

4.415

1

0.036

1.610

(1.033, 2.511)

  0.5–1 million yuan

0.485

0.308

2.474

1

0.116

1.624

(0.888, 2.970)

  1 million yuan or higher

2.997

1.071

7.822

1

0.005

20.016

(2.451, 163.436)

Oral health care guidance

 Constant

0.273

0.108

6.327

1

0.012

1.313

 Household registration (control = local children) (P = 0.002)

  Migrant children

−0.586

0.193

9.220

1

0.002

0.557

(0.381, 0.813)

Mental health guidance

 Constant

−1.341

0.218

37.953

1

< 0.001

0.262

 Gender (control = male) (P = 0.009)

 

  Female

0.606

0.235

6.673

1

0.010

1.833

(1.157, 2.904)

 Occupation of the father (control = White-collar workers) (P = 0.014)

 

  Blue-collar workers

−0.244

0.498

0.240

1

0.625

0.784

(0.295, 2.080)

  Mixed white/blue-collar workers

−0.739

0.249

8.841

1

0.003

0.478

(0.293, 0.777)

  Others

−1.050

0.562

3.495

1

0.602

0.350

(0.116, 1.052)