Table 2.
Multinomial logistic regression of risk factors related to suicidal behaviors between the two models.
| Variable | Model 1 (Accelerometer) | Model 2 (Questionnaire) | |||||||
| β | S.E | Sig. | OR (95% CI) | β | S.E | Sig. | OR (95% CI) | ||
| Gender | Male | 1.000 | 1.000 | ||||||
| Female | 0.272 | 0.462 | 0.556 | 1.313 (0.531–3.249) | −0.189 | 0.435 | 0.664 | 0.828 (0.353–1.940) | |
| Education | >Undergraduate | 1.000 | 1.000 | ||||||
| <High School | 0.494 | 0.408 | 0.227 | 1.638 (0.736–3.647) | 0.504 | 0.412 | 0.221 | 1.165 (0.738–3.711) | |
| <Middle School | −0.068 | 0.620 | 0.913 | 0.934 (0.277–3.151) | 0.048 | 0.635 | 0.939 | 1.050 (0.302–3.646) | |
| <Elementary School | 0.777 | 0.630 | 0.217 | 2.176 (0.633–7.478) | 0.889 | 0.641 | 0.165 | 2.432 (0.693–8.533) | |
| Income | >3000 thousand KRW (USD >2476) | 1.000 | 1.000 | ||||||
| 2000–3000 thousand KRW (USD 1650–2476) | 0.056 | 0.516 | 0.914 | 1.058 (0.385–2.905) | 0.098 | 0.524 | 0.851 | 1.103 (0.395–3.081) | |
| 1000–2000 thousand KRW (USD 825–1650) | −0.234 | 0.476 | 0.624 | 0.792 (0.312–2.012) | −0.22 | 0.482 | 0.664 | 0.800 (0.311–2.057) | |
| <1000 thousand KRW (USD <825) | 0.872 | 0.495 | 0.078 | 2.392 (0.906–6.315) | 0.890 | 0.509 | 0.080 | 2.436 (0.898–6.608) | |
| Occupation | Jobless (e.g., housewife, students) | 1.000 | 1.000 | ||||||
| Administrators and professionals | −0.751 | 0.514 | 0.144 | 0.472 (0.172–1.293) | −0.80 | 0.518 | 0.119 | 0.446 (0.161–1.231) | |
| Skilled agricultural and fishery workers | −0.616 | 0.900 | 0.494 | 0.540 (0.093–3.151) | −0.485 | 0.925 | 0.600 | 0.616 (0.100–3.774) | |
| Machine operators and assemblers | −0.187 | 0.645 | 0.772 | 0.829 (0.234–2.938) | 0.000 | 0.662 | 1.000 | 1.000 (0.273–3.662) | |
| Office workers | 0.378 | 0.603 | 0.531 | 1.459 (0.448–4.752) | 0.306 | 0.607 | 0.615 | 1.358 (0.413–4.461) | |
| Service workers and shop sales workers | 0.118 | 0.492 | 0.811 | 1.459 (0.429–2.952) | 0.266 | 0.506 | 0.598 | 1.305 (0.484–3.517) | |
| Laborers (not elsewhere classified) | 0.706 | 0.747 | 0.344 | 2.026 (0.469–8.757) | 0.722 | 0.755 | 0.339 | 2.058 (0.469–9.042) | |
| Physical Activity | Moderate to Vigorous Intensity PA | −0.005 | 0.002 | 0.001 *** | 0.995 (0.992–0.998) | 0.000 | 0.000 | 0.682 | 1. 000 (1.000–1.000) |
| Sedentary Behavior | 0.001 | 0.000 | 0.04 * | 1.001 (1.000–1.001) | 0.000 | 0.00 | 0.168 | 1. 000 (1.000–1.000) | |
| Model 3 (Accelerometer) | Model 4 (Questionnaire) | ||||||||
| β | S.E | Sig. | OR (95% CI) | β | S.E | Sig. | OR (95% CI) | ||
| Age (yr) | 0.027 | 0.015 | 0.075 | 1.027 (0.997–1.058) | 0.006 | 0.013 | 0.642 | 1.006 (0.981–1.032) | |
| Characteristics | Height (cm) | 0.009 | 0.026 | 0.730 | 0.991 (0.941–1.044) | 0.005 | 0.025 | 0.849 | 1.005 (0.957–1.054) |
| Weight (kg) | 0.039 | 0.039 | 0.318 | 1.039 (0.963–1.122) | 0.001 | 0.034 | 0.969 | 1.001 (0.936–1.071) | |
| Waist Circumference (cm) | −0.046 | 0.041 | 0.267 | 0.955 (0.881–1.036) | −0.004 | 0.037 | 0.906 | 0.996 (0.927–1.070) | |
| Physical Activity | Moderate to Vigorous Intensity PA | −0.005 | 0.001 | 0.000 *** | 0.995 (0.993–0.998) | 0.000 | 0.000 | 0.655 | 1.000 (1.000–1.000) |
| Sedentary Behavior | 0.001 | 0.000 | 0.007 ** | 1.001 (1.000–1.001) | 0.000 | 0.000 | 0.194 | 1.000 (1.000–1.000) | |
*** < 0.001, ** < 0.01, * < 0.05, S.E: Standard Error, OR: Odd Ratio, CI: Confidence Interval; Model set 1: analysis statistically adjust for gender, education, income, occupation, and physical activity measured by accelerometers. Model set 2: analysis statistically adjust for gender, education, income, occupation, and physical activity measured by questionnaires. Model set 3: analysis statistically adjust for age, height, weight, waist circumference, and physical activity measured by accelerometers. Model set 4: analysis statistically adjust for age, height, weight, waist circumference, and physical activity measured by questionnaires.