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Table 3 estimation parameters of the different factors using quantile regression

From: Effect of socioeconomic characteristics and lifestyle on BMI distribution in the Chinese population: a population-based cross-sectional study

covariatesa

10th

20th

30th

40th

50th

60th

70th

80th

90th

OLS

Residence (urban)

0.356**

0.162

0.248*

0.263*

0.252*

0.271*

0.220

0.240

0.060

0.185*

Areas

 Central

0.071

0.224

0.359*

0.292*

0.485**

0.322*

0.344*

0.263

0.381

0.286*

 South

0.261

0.277

0.234

0.024

0.086

−0.106

−0.076

−0.253

−0.284

−0.026

 Gender (female)

0.067

−0.038

0.066

0.115

0.273*

0.192

0.343*

0.381*

0.594**

0.261**

Age

0.022**

0.025**

0.024**

0.023**

0.020**

0.021**

0.020**

0.019**

0.001

0.020**

Education

  > 6 years & ≤9 years

0.380**

0.298**

0.314**

0.230*

0.142

0.137

0.215

0.124

−0.250

0.176

 >9 years

0.176

0.199

0.137

0.109

0.015

0.100

0.100

−0.028

− 0.341

0.034

Oil

0.005*

0.003

0.006**

0.007**

0.007**

0.007**

0.006**

0.007**

0.006

0.0053**

Salt

0.005

0.005

0.002

0.003

0.005

0.005

0.010

0.007

0.013

0.0075

Red meat

0.002**

0.002**

0.002*

0.002*

0.002**

0.001

0.001

0.001

0.0002

0.0016**

Fresh vegetable/fruit

0.00000

−0.0001

−0.0002

−0.00010

−0.0002

−0.0001

−0.0002

− 0.0003

−0.0002

− 0.0002*

Alcohol

0.003*

0.006**

0.006**

0.006**

0.006**

0.006**

0.006**

0.006**

0.007**

0.0056**

Smoking

−0.617**

−0.837**

−0.896**

− 0.951**

−0.832**

− 0.918**

−0.806**

− 0.642**

−0.545*

− 0.744**

Physical activity

 Moderate

0.010

0.102

0.103

0.100

0.104

0.196

0.311

0.294

0.042

0.154

 High

0.692**

0.585**

0.390**

0.336**

0.304*

0.263

0.463**

0.391*

−0.019

0.377**

  1. **β < 0.01,*β < 0.05. a: Reference categories for dummies are as follows: urban: rural; female: male; Central and South: north; > 6 years& ≤ 9 years and >9 years: ≤6 years; smoking daily: not smoking daily; Moderate and high: light