Skip to main content

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%