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Table 6 Regressions of specification (2) measuring the effects of family income on adult BMI over time, 1991-2011

From: Family income and body mass index – what have we learned from China

Dependent variable: BMI
  Total Male Female
Income Quartiles (1000 CNY)
Bottom 0.639c (0.139) 0.228 (0.195) 0.593c (0.196)
Second 0.527c (0.075) 0.367c (0.103) 0.344c (0.105)
Third 0.384c (0.026) 0.302c (0.033) 0.107c (0.034)
Top 0.238c (0.016) 0.026a (0.015) 0.106c (0.013)
Education −0.079c (0.010) −0.026a (0.015) −0.130c (0.014)
Marital Status −0.078c (0.021) 0.044 (0.033) −0.204c (0.029)
Gender 0.491c (0.029)   
Year = 1991 −0.036 (0.058) 0.102 (0.080) −0.159b (0.084)
Year = 1993 0.016 (0.060) 0.167 (0.082) −0.127 (0.086)
Year = 1997 0.211c (0.062) 0.388c (0.085) 0.055 (0.089)
Year = 2000 0.526c (0.063) 0.661c (0.086) 0.396c (0.091)
Year = 2004 0.648c (0.063) 0.802c (0.087) 0.511c (0.090)
Year = 2006 0.686c (0.064) 0.869c (0.088) 0.520c (0.091)
Year = 2009 0.718c (0.066) 0.892c (0.091) 0.584c (0.094)
Year = 2011 1.044c (0.066) 1.178c (0.091) 0.953c (0.094)
Constant 17.584c (0.156) 18.297c (0.214) 18.365c (0.211)
Observation 74416 35500 38916
R-squared 0.102 0.124 0.096
  1. Note: Numbers in parentheses are standard errors
  2. a, b and c represent significant level of 10, 5, and 1%