TABLE 5.
Predictor variables | Model 1 | Model 2 | ||||
---|---|---|---|---|---|---|
β | t | p | β | t | p | |
Age | 0.048 | 0.505 | 0.614 | 0.049 | 0.486 | 0.628 |
Migrant status (native‐born) | 0.093 | 0.597 | 0.551 | 0.044 | 0.465 | 0.642 |
Educational level | ||||||
None | −0.093 | −0.634 | 0.527 | −0.061 | −0.409 | 0.683 |
Primary | −0.121 | −1.031 | 0.304 | −0.115 | −0.960 | 0.338 |
Junior high | 0.042 | 0.376 | 0.708 | −0.006 | −0.055 | 0.956 |
High school | 0.135 | 1.266 | 0.207 | 0.127 | 1.157 | 0.249 |
Work status (unemployed) | −0.042 | −0.464 | 0.643 | −0.037 | −0.405 | 0.686 |
Marital status | ||||||
Unmarried | −0.477 | −1.949 | 0.052 | −0.472 | −1.900 | 0.059 |
Divorced | 0.093 | 0.555 | 0.580 | 0.052 | 0.305 | 0.761 |
Widow | 0.392 | 1.489 | 0.138 | 0.477 | 1.789 | 0.075 |
Number of children | ||||||
No children | −0.019 | −0.158 | 0.875 | 0.013 | 0.101 | 0.920 |
One or two children | 0.055 | 0.592 | 0.554 | 0.077 | 0.812 | 0.418 |
Three or four children | −0.078 | −0.967 | 0.335 | −0.076 | −0.917 | 0.360 |
BMI | 0.372 | 1.047 | 0.296 | |||
WHR | −0.085 | −1.086 | 0.279 | |||
WSR | −0.229 | −0.670 | 0.504 | |||
R 2 | 0.067 | 0.081 | ||||
Adjusted R 2 | 0.015 | 0.015 | ||||
p | 0.222 | 0.245 |
Model 1: Adjusted for socio‐demographic factors: age, migrant status (native‐born/migrant), educational level (none/primary/junior high/high school/university), work status (unemployed/employed‐student), marital status (unmarried/divorced/widowed/married) and number of children (none/one or two/three or four/more than four). Model 2: Adjusted for socio‐demographic factors: age, migrant status (native‐born/migrant), educational level (none/primary/junior high/high school/university), work status (unemployed/employed‐student), marital status (unmarried/divorced/widowed/married), number of children (none/one or two/three or four/more than four). BMI, WHR and WSR.
Abbreviations: β, regression coefficient; BMI, body mass index; WHR, waist–hip ratio; WSR, waist–stature ratio.