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Table 2 Quantile regression results for the different percentiles based on the yearly coefficients (95% CI 1 )

From: Use of quantile regression to investigate changes in the body mass index distribution of Chinese adults aged 18–60 years: a longitudinal study

Year effects on

  

Coefficient

  
 

10th

25th

50th

75th

90th

Male

     

Intercept

18.891 (17.669,20.113)2

18.744 (17.917,19.571)2

19.680 (18.988,20.372)2

20.617 (19.941,21.294)2

22.93 (22.016,23.836)2

Model1

0.101 (0.089,0.113)2

0.109 (0.102,0.117)2

0.118 (0.111,0.125)2

0.126 (0.118,0.133)2

0.126 (0.117,0.134)2

Model2

0.074 (0.050,0.098)2

0.098 (0.079,0.118)2

0.113 (0.092,0.133)2

0.104 (0.085,0.122)2

0.118 (0.087,0.150)2

Model3

0.070 (0.036,0.103)2

0.096 (0.074,0.118)2

0.102 (0.082,0.121)2

0.094 (0.073,0.115)2

0.098 (0.064,0.133)2

Female

     

Intercept

16.075 (0.077,0.107)2

17.300 (0.103,0.121)2

18.827 (17.584,20.071)2

19.205 (18.338,20.072)2

19.746 (18.707,20.785)2

Model1

0.092 (0.077,0.107)2

0.112 (0.103,0.121)2

0.115 (0.108,0.121)2

0.121 (0.113,0.129)2

0.127 (0.118,0.136)2

Model2

0.072 (0.051,0.094)2

0.110 (0.087,0.132)2

0.100 (0.081,0.119)2

0.099 (0.080,0.119)2

0.120 (0.092,0.148)2

Model3

0.066 (0.040,0.093)2

0.116 (0.089,0.144)2

0.102 (0.081,0.124)2

0.100 (0.076,0.123)2

0.125 (0.095,0.156)2

  1. Model 1 includes year only; Model 2 includes all the components of model 1 and education, PA, sedentary time, and income; Model 3 includes all the components of Model 2 and the urbanization index as a continuous variable.
  2. 1CI: Confidence interval.
  3. 2P < 0.01.
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BMC Public Health

ISSN: 1471-2458

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