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Table 1 Estimation of health’s multilevel model

From: Socio-economic development and emotion-health connection revisited: a multilevel modeling analysis using data from 162 counties in China

 

Effects

Estimate

S.E.

Est./S.E.

95 % CI

P-value

Intercept of health

intercept

3.952

0.041

96.680

[3.872, 4.032]

0.000

 

GDPPC coefficient

−0.117

0.065

−1.783

[−0.245, 0.012]

0.075

Slope of PE

intercept

0.089

0.006

14.013

[0.077, 0.102]

0.000

 

GDPPC coefficient

0.019

0.016

1.241

[−0.011,0.050]

0.215

 

AMR coefficient

0.002

0.001

3.055

[0.001, 0.003]

0.002

 

ES coefficient

−0.004

0.002

−2.326

[−0.008, 0.001]

0.020

Slope of NE

intercept

−0.073

0.003

−26.988

[−0.078, 0.068]

0.000

 

GDPPC

0.002

0.009

0.274

[−0.015, 0.019]

0.784

 

AMR coefficient

−0.001

0.001

−1.608

[−0.002, 0.000]

0.108

 

ES coefficient

0.004

0.002

2.014

[0.000, 0.007]

0.044

Slope of gender

intercept

0.145

0.013

10.951

[0.119, 0.171]

0.000

Slope of age

intercept

−0.014

0.001

−25.528

[−0.015,-0.013]

0.000

Slope of education

intercept

0.006

0.002

3.894

[0.003, 0.009]

0.000

Slope of AMR (individual-level)

intercept

0.001

0.001

2.612

[0.001,0.002]

0.009

Slope of income

intercept

0.058

0.011

5.282

[0.036,0.079]

0.000

Slope of FIPER

intercept

0.097

0.017

5.546

[0.062, 0.131]

0.000

Slope of family size

intercept

0.017

0.004

4.652

[0.010, 0.025]

0.000

Slope of having job

intercept

0.121

0.015

8.231

[0.092, 0.150]

0.000

Slope of Retried

intercept

0.054

0.059

0.916

[−0.061, 0.169]

0.359

Slope of housework

intercept

0.177

0.026

6.696

[0.125, 0.229]

0.000

Slope of Rich, at home

intercept

0.201

0.069

2.897

[0.065, 0.337]

0.004

Slope of drink

intercept

−0.255

0.028

−9.281

[−0.309, 0.202]

0.000

Slope of Smoking

intercept

−0.173

0.024

−7.144

[−0.221, 0.126]

0.000

BMI ≥ 25

intercept

−0.045

0.015

−2.972

[−0.075, 0.015]

0.003

BMI < 18

intercept

−0.209

0.023

−9.126

[−0.254, 0.164]

0.000

Slope of married

intercept

−0.094

0.023

−4.017

[−0.140, 0.048]

0.000

Slope of widowed or divorced

intercept

0.059

0.035

1.681

[−0.010, 0.127]

0.093

AMR at county-level

intercept

−0.233

0.430

−0.541

[−1.077, 0.611]

0.588

 

GDPPC coefficient

5.367

0.976

5.499

[3.454, 7.280]

0.000

ES at county-level

intercept

0.073

0.131

0.593

[−0.179, 0.335]

0.553

 

GDPPC coefficient

3.577

0.298

12.017

[2.994, 4.160]

0.000

  1. AMR accessibility of medical resources, GDPPC GDP per capita, ES educational status, all non-dichotomous predictors were grand-mean-centered