TABLE 2

Absolute difference in the number of days of dental visits during working hours based on the place of the dental check-ups and confounders analyzed using linear regression analysis (n = 3930).

 Number of days of dental visits during working hoursUnivariable modelFully adjusted model
 MeanSDCoefficient (95% CI)Coefficient (95% CI)
Total0.281.75  
Place of dental check-ups
  Not had the check-ups0.141.18−0.43 (−0.59;−0.26)*−0.43 (−0.59;−0.27)*
  At the dental clinic0.572.67refref
  At the workplace0.211.20−0.36 (−0.60;−0.12)*−0.35 (−0.58;−0.12)*
  At both the dental clinic and the workplace0.321.29−0.25 (−0.48;−0.03)*−0.23 (−0.45;−0.01)*
Self−reported oral health
  Excellent0.311.85refref
  Good0.191.25−0.12 (−0.34;0.10)−0.13 (−0.35;0.09)
  Fair0.261.76−0.06 (−0.28;0.16)−0.07 (−0.29;0.16)
  Poor0.392.190.08 (−0.18;0.33)0.01 (−0.25;0.27)
  Very Poor0.351.410.03 (−0.28;0.34)−0.14 (−0.49;0.20)
Number of teeth
  0–140.772.750.53 (0.12;0.93)*0.44 (0.05;0.82)*
  15–190.582.610.33 (0.02;0.65)*0.25 (−0.06;0.56)
  20–230.211.41−0.03 (−0.15;0.09)−0.03 (−0.15;0.09)
  24–270.211.69−0.04 (−0.17;0.10)−0.06 (−0.19;0.08)
  28–320.251.63refref
Gum bleeding
  Always0.502.130.26 (−0.07;0.60)0.24 (−0.13;0.61)
  Occasionally0.321.720.08 (−0.03;0.19)0.08 (−0.04;0.20)
  None0.231.75refref
Age (years)
  20–290.160.84refref
  30–390.261.690.10 (−0.02;0.23)0.08 (−0.05;0.20)
  40–490.221.250.07 (−0.04;0.17)0.01 (−0.11;0.12)
  50–590.321.930.17 (0.02;0.31)*0.06 (−0.10;0.21)
  60–650.543.010.38 (0.09;0.67)*0.21 (−0.07;0.49)
Gender
  Male0.281.740.00 (−0.11;0.11)−0.01 (−0.14;0.12)
  Female0.281.77refref
Education (graduation)
  High school0.261.60−0.01 (−0.12;0.11)−0.05 (−0.18;0.07)
  Vocational school, Junior college0.352.220.08 (−0.08;0.25)0.07 (−0.09;0.24)
  University, Master’s program, Doctoral program0.261.61refref
Personal income
  <¥2 million0.381.680.20 (0.01;0.38)*0.18 (−0.06;0.42)
  ¥2–4 million0.261.900.08 (−0.08;0.24)0.10 (−0.09;0.29)
  ¥4–6 million0.281.820.10 (−0.08;0.28)0.12 (−0.07;0.32)
  ¥6–8 million0.351.740.17 (−0.06;0.41)0.18 (−0.06;0.42)
  >¥8 million0.180.95refref
  Unknown0.221.540.04 (−0.14;0.23)0.09 (−0.11;0.30)
Chronic disease
  None0.181.25refref
  Present0.532.670.35 (0.18;0.52)*0.26 (0.12;0.41)*
Industrial classification
  Primary industry0.543.01refref
  Secondary Industry0.301.76−0.24 (−0.59;0.11)−0.15 (−0.48;0.19)
  Tertiary industry0.241.53−0.30 (−0.65;0.04)−0.22 (−0.55;0.11)
Occupational classification
  White-collar worker0.231.42refref
  Blue-collar worker0.311.930.08 (−0.03;0.18)0.05 (−0.06;0.15)
Work shifts
  Day shift0.261.68refref
  Both day and night shifts0.472.660.21 (−0.35;0.77)0.17 (−0.37;0.72)
  Night shift0.251.76−0.01 (−0.18;0.16)0.03 (−0.15;0.20)
  Flexes, etc.0.522.360.26 (−0.07;0.59)0.21 (−0.12;0.53)
 Number of days of dental visits during working hoursUnivariable modelFully adjusted model
 MeanSDCoefficient (95% CI)Coefficient (95% CI)
Total0.281.75  
Place of dental check-ups
  Not had the check-ups0.141.18−0.43 (−0.59;−0.26)*−0.43 (−0.59;−0.27)*
  At the dental clinic0.572.67refref
  At the workplace0.211.20−0.36 (−0.60;−0.12)*−0.35 (−0.58;−0.12)*
  At both the dental clinic and the workplace0.321.29−0.25 (−0.48;−0.03)*−0.23 (−0.45;−0.01)*
Self−reported oral health
  Excellent0.311.85refref
  Good0.191.25−0.12 (−0.34;0.10)−0.13 (−0.35;0.09)
  Fair0.261.76−0.06 (−0.28;0.16)−0.07 (−0.29;0.16)
  Poor0.392.190.08 (−0.18;0.33)0.01 (−0.25;0.27)
  Very Poor0.351.410.03 (−0.28;0.34)−0.14 (−0.49;0.20)
Number of teeth
  0–140.772.750.53 (0.12;0.93)*0.44 (0.05;0.82)*
  15–190.582.610.33 (0.02;0.65)*0.25 (−0.06;0.56)
  20–230.211.41−0.03 (−0.15;0.09)−0.03 (−0.15;0.09)
  24–270.211.69−0.04 (−0.17;0.10)−0.06 (−0.19;0.08)
  28–320.251.63refref
Gum bleeding
  Always0.502.130.26 (−0.07;0.60)0.24 (−0.13;0.61)
  Occasionally0.321.720.08 (−0.03;0.19)0.08 (−0.04;0.20)
  None0.231.75refref
Age (years)
  20–290.160.84refref
  30–390.261.690.10 (−0.02;0.23)0.08 (−0.05;0.20)
  40–490.221.250.07 (−0.04;0.17)0.01 (−0.11;0.12)
  50–590.321.930.17 (0.02;0.31)*0.06 (−0.10;0.21)
  60–650.543.010.38 (0.09;0.67)*0.21 (−0.07;0.49)
Gender
  Male0.281.740.00 (−0.11;0.11)−0.01 (−0.14;0.12)
  Female0.281.77refref
Education (graduation)
  High school0.261.60−0.01 (−0.12;0.11)−0.05 (−0.18;0.07)
  Vocational school, Junior college0.352.220.08 (−0.08;0.25)0.07 (−0.09;0.24)
  University, Master’s program, Doctoral program0.261.61refref
Personal income
  <¥2 million0.381.680.20 (0.01;0.38)*0.18 (−0.06;0.42)
  ¥2–4 million0.261.900.08 (−0.08;0.24)0.10 (−0.09;0.29)
  ¥4–6 million0.281.820.10 (−0.08;0.28)0.12 (−0.07;0.32)
  ¥6–8 million0.351.740.17 (−0.06;0.41)0.18 (−0.06;0.42)
  >¥8 million0.180.95refref
  Unknown0.221.540.04 (−0.14;0.23)0.09 (−0.11;0.30)
Chronic disease
  None0.181.25refref
  Present0.532.670.35 (0.18;0.52)*0.26 (0.12;0.41)*
Industrial classification
  Primary industry0.543.01refref
  Secondary Industry0.301.76−0.24 (−0.59;0.11)−0.15 (−0.48;0.19)
  Tertiary industry0.241.53−0.30 (−0.65;0.04)−0.22 (−0.55;0.11)
Occupational classification
  White-collar worker0.231.42refref
  Blue-collar worker0.311.930.08 (−0.03;0.18)0.05 (−0.06;0.15)
Work shifts
  Day shift0.261.68refref
  Both day and night shifts0.472.660.21 (−0.35;0.77)0.17 (−0.37;0.72)
  Night shift0.251.76−0.01 (−0.18;0.16)0.03 (−0.15;0.20)
  Flexes, etc.0.522.360.26 (−0.07;0.59)0.21 (−0.12;0.53)
*

P < 0.05.

TABLE 2

Absolute difference in the number of days of dental visits during working hours based on the place of the dental check-ups and confounders analyzed using linear regression analysis (n = 3930).

 Number of days of dental visits during working hoursUnivariable modelFully adjusted model
 MeanSDCoefficient (95% CI)Coefficient (95% CI)
Total0.281.75  
Place of dental check-ups
  Not had the check-ups0.141.18−0.43 (−0.59;−0.26)*−0.43 (−0.59;−0.27)*
  At the dental clinic0.572.67refref
  At the workplace0.211.20−0.36 (−0.60;−0.12)*−0.35 (−0.58;−0.12)*
  At both the dental clinic and the workplace0.321.29−0.25 (−0.48;−0.03)*−0.23 (−0.45;−0.01)*
Self−reported oral health
  Excellent0.311.85refref
  Good0.191.25−0.12 (−0.34;0.10)−0.13 (−0.35;0.09)
  Fair0.261.76−0.06 (−0.28;0.16)−0.07 (−0.29;0.16)
  Poor0.392.190.08 (−0.18;0.33)0.01 (−0.25;0.27)
  Very Poor0.351.410.03 (−0.28;0.34)−0.14 (−0.49;0.20)
Number of teeth
  0–140.772.750.53 (0.12;0.93)*0.44 (0.05;0.82)*
  15–190.582.610.33 (0.02;0.65)*0.25 (−0.06;0.56)
  20–230.211.41−0.03 (−0.15;0.09)−0.03 (−0.15;0.09)
  24–270.211.69−0.04 (−0.17;0.10)−0.06 (−0.19;0.08)
  28–320.251.63refref
Gum bleeding
  Always0.502.130.26 (−0.07;0.60)0.24 (−0.13;0.61)
  Occasionally0.321.720.08 (−0.03;0.19)0.08 (−0.04;0.20)
  None0.231.75refref
Age (years)
  20–290.160.84refref
  30–390.261.690.10 (−0.02;0.23)0.08 (−0.05;0.20)
  40–490.221.250.07 (−0.04;0.17)0.01 (−0.11;0.12)
  50–590.321.930.17 (0.02;0.31)*0.06 (−0.10;0.21)
  60–650.543.010.38 (0.09;0.67)*0.21 (−0.07;0.49)
Gender
  Male0.281.740.00 (−0.11;0.11)−0.01 (−0.14;0.12)
  Female0.281.77refref
Education (graduation)
  High school0.261.60−0.01 (−0.12;0.11)−0.05 (−0.18;0.07)
  Vocational school, Junior college0.352.220.08 (−0.08;0.25)0.07 (−0.09;0.24)
  University, Master’s program, Doctoral program0.261.61refref
Personal income
  <¥2 million0.381.680.20 (0.01;0.38)*0.18 (−0.06;0.42)
  ¥2–4 million0.261.900.08 (−0.08;0.24)0.10 (−0.09;0.29)
  ¥4–6 million0.281.820.10 (−0.08;0.28)0.12 (−0.07;0.32)
  ¥6–8 million0.351.740.17 (−0.06;0.41)0.18 (−0.06;0.42)
  >¥8 million0.180.95refref
  Unknown0.221.540.04 (−0.14;0.23)0.09 (−0.11;0.30)
Chronic disease
  None0.181.25refref
  Present0.532.670.35 (0.18;0.52)*0.26 (0.12;0.41)*
Industrial classification
  Primary industry0.543.01refref
  Secondary Industry0.301.76−0.24 (−0.59;0.11)−0.15 (−0.48;0.19)
  Tertiary industry0.241.53−0.30 (−0.65;0.04)−0.22 (−0.55;0.11)
Occupational classification
  White-collar worker0.231.42refref
  Blue-collar worker0.311.930.08 (−0.03;0.18)0.05 (−0.06;0.15)
Work shifts
  Day shift0.261.68refref
  Both day and night shifts0.472.660.21 (−0.35;0.77)0.17 (−0.37;0.72)
  Night shift0.251.76−0.01 (−0.18;0.16)0.03 (−0.15;0.20)
  Flexes, etc.0.522.360.26 (−0.07;0.59)0.21 (−0.12;0.53)
 Number of days of dental visits during working hoursUnivariable modelFully adjusted model
 MeanSDCoefficient (95% CI)Coefficient (95% CI)
Total0.281.75  
Place of dental check-ups
  Not had the check-ups0.141.18−0.43 (−0.59;−0.26)*−0.43 (−0.59;−0.27)*
  At the dental clinic0.572.67refref
  At the workplace0.211.20−0.36 (−0.60;−0.12)*−0.35 (−0.58;−0.12)*
  At both the dental clinic and the workplace0.321.29−0.25 (−0.48;−0.03)*−0.23 (−0.45;−0.01)*
Self−reported oral health
  Excellent0.311.85refref
  Good0.191.25−0.12 (−0.34;0.10)−0.13 (−0.35;0.09)
  Fair0.261.76−0.06 (−0.28;0.16)−0.07 (−0.29;0.16)
  Poor0.392.190.08 (−0.18;0.33)0.01 (−0.25;0.27)
  Very Poor0.351.410.03 (−0.28;0.34)−0.14 (−0.49;0.20)
Number of teeth
  0–140.772.750.53 (0.12;0.93)*0.44 (0.05;0.82)*
  15–190.582.610.33 (0.02;0.65)*0.25 (−0.06;0.56)
  20–230.211.41−0.03 (−0.15;0.09)−0.03 (−0.15;0.09)
  24–270.211.69−0.04 (−0.17;0.10)−0.06 (−0.19;0.08)
  28–320.251.63refref
Gum bleeding
  Always0.502.130.26 (−0.07;0.60)0.24 (−0.13;0.61)
  Occasionally0.321.720.08 (−0.03;0.19)0.08 (−0.04;0.20)
  None0.231.75refref
Age (years)
  20–290.160.84refref
  30–390.261.690.10 (−0.02;0.23)0.08 (−0.05;0.20)
  40–490.221.250.07 (−0.04;0.17)0.01 (−0.11;0.12)
  50–590.321.930.17 (0.02;0.31)*0.06 (−0.10;0.21)
  60–650.543.010.38 (0.09;0.67)*0.21 (−0.07;0.49)
Gender
  Male0.281.740.00 (−0.11;0.11)−0.01 (−0.14;0.12)
  Female0.281.77refref
Education (graduation)
  High school0.261.60−0.01 (−0.12;0.11)−0.05 (−0.18;0.07)
  Vocational school, Junior college0.352.220.08 (−0.08;0.25)0.07 (−0.09;0.24)
  University, Master’s program, Doctoral program0.261.61refref
Personal income
  <¥2 million0.381.680.20 (0.01;0.38)*0.18 (−0.06;0.42)
  ¥2–4 million0.261.900.08 (−0.08;0.24)0.10 (−0.09;0.29)
  ¥4–6 million0.281.820.10 (−0.08;0.28)0.12 (−0.07;0.32)
  ¥6–8 million0.351.740.17 (−0.06;0.41)0.18 (−0.06;0.42)
  >¥8 million0.180.95refref
  Unknown0.221.540.04 (−0.14;0.23)0.09 (−0.11;0.30)
Chronic disease
  None0.181.25refref
  Present0.532.670.35 (0.18;0.52)*0.26 (0.12;0.41)*
Industrial classification
  Primary industry0.543.01refref
  Secondary Industry0.301.76−0.24 (−0.59;0.11)−0.15 (−0.48;0.19)
  Tertiary industry0.241.53−0.30 (−0.65;0.04)−0.22 (−0.55;0.11)
Occupational classification
  White-collar worker0.231.42refref
  Blue-collar worker0.311.930.08 (−0.03;0.18)0.05 (−0.06;0.15)
Work shifts
  Day shift0.261.68refref
  Both day and night shifts0.472.660.21 (−0.35;0.77)0.17 (−0.37;0.72)
  Night shift0.251.76−0.01 (−0.18;0.16)0.03 (−0.15;0.20)
  Flexes, etc.0.522.360.26 (−0.07;0.59)0.21 (−0.12;0.53)
*

P < 0.05.

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