Associations of Subjective Social Status with Physical Activity and Body Mass Index across Four Asian Countries

Table 3

Simple and quadratic SSS quartile odds ratios for physical activity models.

	Simple model		Quadratic term model				Adjusted best fit model^a
	SSS ouartile; OR (95% CI)	𝑃 value	SSS quartile; OR (95% CI)	𝑃 value	SSS quartile^2; OR (95% CI)	𝑃 value	SSS quartile; OR (95% CI)	𝑃 value	SSS quartile^2; OR (95% CI)	𝑃 value
Physically active daily or weekly versus monthly or less
China
Males	1.28 (1.17, 1.41)*	<.0001	0.58 (0.31, 1.07)	.083	1.17 (1.04, 1.31)*	.010	0.58 (0.31, 1.11)	.099	1.15 (1.01, 1.29)*	.030
Females	1.21 (1.09, 1.34)*	<.001	0.47 (0.23, 0.94)*	.032	1.20 (1.05, 1.36)*	.007	0.45 (0.22, 0.91)*	.026	1.20 (1.05, 1.37)*	.008
Japan
Males	1.22 (1.05, 1.42)*	.01	1.42 (0.64, 3.14)	.388	0.97 (0.83, 1.13)	.700	1.27 (1.08, 1.49)*	.004	—	—
Females	1.05 (0.89, 1.25)	.566	1.02 (0.42, 2.48)	.971	1.01 (0.85, 1.20)	.939	1.04 (0.80, 1.50)	.713	—	—
South Korea
Males	1.26 (1.10, 1.45)*	<.001	3.00 (1.32, 6.82)*	.009	0.84 (0.72, 0.99)*	.037	3.10 (1.31, 7.35)*	.010	0.83 (0.70, 0.98)*	.027
Females	1.10 (0.96, 1.27)	.169	1.18 (0.54, 2.55)	.682	0.99 (0.85, 1.15)	.870	1.10 (0.95, 1.28)	.188	—	—
Taiwan
Males	1.24 (1.11, 1.40)*	<.001	1.24 (0.64, 2.39)	.524	1.00 (0.88, 1.14)	.988	1.20 (1.07, 1.36)*	.003	—	—
Females	1.21 (1.06, 1.37)*	.004	0.57 (0.29, 1.12)	.103	1.16 (1.02, 1.32)*	.027	0.57 (0.28, 1.14)	.109	1.15 (1.01, 1.32)*	.033
Underweight versus normal weight
China
Males	0.94 (0.80, 1.11)	.470	0.44 (0.15, 1.30)	.139	1.16 (0.94, 1.43)	.166	0.98 (0.82, 1.16)	.775	—	—
Females	0.84 (0.74, 0.94)*	.002	0.56 (0.26, 1.21)	.137	1.08 (0.93, 1.26)	.295	0.84 (0.74, 0.94)*	.003	—	—
Japan
Males	0.63 (0.44, 0.90)*	.010	0.92 (0.15, 5.51)	.922	0.92 (0.62, 1.35)	.669	0.64 (0.44, 0.94)*	.023	—	—
Females	0.95 (0.79, 1.15)	.618	0.55 (0.22, 1.39)	.206	1.12 (0.93, 1.34)	.234	0.95 (0.79, 1.15)	.618	—	—
South Korea
Males	0.77 (0.48, 1.24)	.289	1.94 (0.12, 31.01)	.639	0.83 (0.47, 1.46)	.507	0.75 (0.44, 1.28)	.293	—	—
Females	1.18 (0.96, 1.47)	.124	0.36 (0.11, 1.16)	.087	1.27 (1.01, 1.59)*	.044	0.23 (0.06, 0.83)*	.025	1.38 (1.08, 1.76)*	.010
Taiwan
Males	0.96 (0.74, 1.25)	.779	1.04 (0.24, 4.59)	.955	0.98 (0.74, 1.32)	.915	0.88 (0.66, 1.16)	.356	—	—
Females	1.10 (0.90, 1.36)	.357	1.07 (0.35, 3.21)	.910	1.01 (0.82, 1.24)	.955	1.12 (0.91, 1.39)	.288	—	—
Overweight or obese versus normal weight
China
Males	1.08 (0.97, 1.19)	.153	1.32 (0.69, 2.52)	.410	0.96 (0.85, 1.09)	.539	1.04 (0.94, 1.15)	.482	—	—
Females	1.02 (0.91, 1.14)	.714	1.44 (0.68, 3.05)	.340	0.94 (0.82, 1.08)	.362	1.03 (0.91, 1.15)	.685	—	—
Japan
Males	0.98 (0.83, 1.14)	.759	0.55 (0.24, 1.25)	.152	1.12 (0.96, 1.32)	.162	0.85 (0.65, 1.23)	.650	—	—
Females	0.78 (0.62, 0.98)*	.034	1.28 (0.40, 4.23)	.663	0.90 (0.71, 1.14)	.387	0.80 (0.63, 1.01)	.058	—	—
South Korea
Males	1.02 (0.88, 1.18)	.796	0.70 (0.29, 1.69)	.425	1.08 (0.91, 1.28)	.394	1.02 (0.87, 1.19)	.798	—	—
Females	0.71 (0.57, 0.87)*	<.001	0.38 (0.12, 1.16)	.089	1.14 (0.91, 1.44)	.265	0.79 (0.63, 0.98)*	.029	—	—
Taiwan
Males	0.97 (0.86, 1.09)	.626	1.09 (0.55, 2.15)	.799	0.98 (0.86, 1.12)	.730	0.97 (0.86, 1.10)	.670	—	—
Females	0.93 (0.80, 1.08)	.352	1.86 (0.83, 4.15)	.131	0.87 (0.75, 1.02)	.086	0.98 (0.84, 1.15)	.821	—	—

^∗𝑃 value < .05.
^aModel adjusted for age, marital status, education level, and occupational classified by manual/nonmanual labor.