Table 3: Effects of sedentary behaviors on stress and suicidal ideation: Occupational analysis.

Model
Group (job)
Dependent
variable statistics 		Model 1a) Model 2b) Model 3c)
Total Total Managers,
professionals,
and related
workers		 Clerks Service and
sales workers		 Skilled
agricultural,
forestry, and
fishery workers		 Craft,
Equipment,
machine
operating, and
assembly-line
workers		 Elementary
workers		 Unemployed
(homemaker,
student, etc.)
Stress Sedentary time
OR (95% CI)		 1.055
(1.035, 1.075)		 1.036
(1.014, 1.058)		 1.061
(1.011, 1.115)		 1.094
(1.029, 1.163)		 1.024
(0.968, 1.083)		 0.784
(0.623, 0.987)		 1.064
(1.004, 1.127)		 0.997
(0.903, 1.101)		 1.014
(0.976, 1.054)
Wald (p) 29.516
(<0.001)		 10.587
(0.001)		 5.673
(0.017)		 8.244
(0.004)		 0.696
(0.404)		 4.287
(0.038)		 4.326
(0.038)		 0.003
(0.955)		 0.530
(0.467)
Cox and Snell’s R2 0.008 0.031 0.034 0.044 0.017 0.088 0.073 0.121 0.033
Nagelkerke’s R2 0.011 0.043 0.046 0.057 0.025 0.143 0.099 0.187 0.047
χ2
(p)		 29.516
(<0.001)		 111.016
(<0.001)		 20.471
(0.015)		 18.769
(0.043)		 9.448
(0.490)		 9.430
(0.492)		 29.835
(0.001)		 32.645
(<0.001)		 37.649
(<0.001)
Concordant (%) 50.7 60.5 61.0 59.0 57.4 68.5 63.1 66.8 61.1
Suicidal ideation Sedentary time
OR (95% CI)		 1.023
(0.981, 1.066)		 1.065
(1.019, 1.114)		 1.007
(0.867, 1.168)		 1.170
(0.937, 1.461)		 1.055
(0.926, 1.201)		 0.871
(0.546, 1.392)		 1.145
(1.034, 1.267)		 1.112
(0.936, 1.321)		 1.050
(0.981, 1.124)
Wald (p) 1.145
(0.285)		 7.694
(0.006)		 0.008
(0.930)		 1.923
(0.166)		 0.641
(0.423)		 0.332
(0.564)		 6.773
(0.009)		 1.447
(0.229)		 1.971
(0.160)
Cox and Snell’s R2 0.000 0.037 0.026 0.017 0.031 0.050 0.110 0.099 0.037
Nagelkerke’s R2 0.001 0.113 0.122 0.099 0.113 0.192 0.268 0.262 0.096
χ2
(p)		 1.137
(0.286)		 129.194
(<0.001)		 15.208
(0.085)		 6.170
(0.801)		 12.280
(0.267)		 3.233
(0.975)		 30.702
(0.001)		 21.300
(0.019)		 44.042
(<0.001)
Concordant (%) 47.9 70.0 74.7 76.6 70.7 74.6 76.5 73.2 70.7

a) Simple logistic regression analysis
b) Gender, age, household income, education level, occupation, and marital status used as control variables
c) Analysis according to occupation, using gender, age, household income, education level, and marital status as control variables