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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