TABLE 7.

Predictors of discomfort: results of multivariate regression analysis

Predictor variables	Model 1			Model 2
	β	t	p	β	t	p
Age	0.085	0.977	0.330	0.050	0.534	0.594
Migrant status (native‐born)	0.147	1.698	0.091	0.121	1.363	0.174
Educational level
None	0.288	2.159	0.032	0.317	2.333	0.021
Primary	−0.079	−0.740	0.460	−0.089	−0.809	0.419
Junior high	0.208	2.033	0.043	0.177	1.693	0.092
High school	−0.143	−1.451	0.148	−0.144	−1.422	0.156
Work status (unemployed)	−0.047	−0.573	0.568	−0.069	−0.820	0.413
Marital status
Unmarried	−0.073	−0.321	0.749	−0.075	−0.328	0.743
Divorced	0.120	0.772	0.441	0.100	0.638	0.524
Widow	−0.004	−0.019	0.985	0.053	0.219	0.827
Number of children
No children	−0.247	−2.312	0.022	−0.223	−2.038	0.043
One or two children	−0.105	−1.316	0.189	−0.087	−1.075	0.283
Three or four children	−0.160	−2.283	0.023	−0.163	−2.287	0.023
BMI				0.213	0.641	0.522
WHR				0.009	0.123	0.902
WSR				−0.077	−0.241	0.810
R 2	0.190			0.202
Adjusted R 2	0.145			0.146
p	0.000			0.000

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.