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 hours . | Univariable model . | Fully adjusted model . | |
---|---|---|---|---|
. | Mean . | SD . | Coefficient (95% CI) . | Coefficient (95% CI) . |
Total | 0.28 | 1.75 | ||
Place of dental check-ups | ||||
Not had the check-ups | 0.14 | 1.18 | −0.43 (−0.59;−0.26)* | −0.43 (−0.59;−0.27)* |
At the dental clinic | 0.57 | 2.67 | ref | ref |
At the workplace | 0.21 | 1.20 | −0.36 (−0.60;−0.12)* | −0.35 (−0.58;−0.12)* |
At both the dental clinic and the workplace | 0.32 | 1.29 | −0.25 (−0.48;−0.03)* | −0.23 (−0.45;−0.01)* |
Self−reported oral health | ||||
Excellent | 0.31 | 1.85 | ref | ref |
Good | 0.19 | 1.25 | −0.12 (−0.34;0.10) | −0.13 (−0.35;0.09) |
Fair | 0.26 | 1.76 | −0.06 (−0.28;0.16) | −0.07 (−0.29;0.16) |
Poor | 0.39 | 2.19 | 0.08 (−0.18;0.33) | 0.01 (−0.25;0.27) |
Very Poor | 0.35 | 1.41 | 0.03 (−0.28;0.34) | −0.14 (−0.49;0.20) |
Number of teeth | ||||
0–14 | 0.77 | 2.75 | 0.53 (0.12;0.93)* | 0.44 (0.05;0.82)* |
15–19 | 0.58 | 2.61 | 0.33 (0.02;0.65)* | 0.25 (−0.06;0.56) |
20–23 | 0.21 | 1.41 | −0.03 (−0.15;0.09) | −0.03 (−0.15;0.09) |
24–27 | 0.21 | 1.69 | −0.04 (−0.17;0.10) | −0.06 (−0.19;0.08) |
28–32 | 0.25 | 1.63 | ref | ref |
Gum bleeding | ||||
Always | 0.50 | 2.13 | 0.26 (−0.07;0.60) | 0.24 (−0.13;0.61) |
Occasionally | 0.32 | 1.72 | 0.08 (−0.03;0.19) | 0.08 (−0.04;0.20) |
None | 0.23 | 1.75 | ref | ref |
Age (years) | ||||
20–29 | 0.16 | 0.84 | ref | ref |
30–39 | 0.26 | 1.69 | 0.10 (−0.02;0.23) | 0.08 (−0.05;0.20) |
40–49 | 0.22 | 1.25 | 0.07 (−0.04;0.17) | 0.01 (−0.11;0.12) |
50–59 | 0.32 | 1.93 | 0.17 (0.02;0.31)* | 0.06 (−0.10;0.21) |
60–65 | 0.54 | 3.01 | 0.38 (0.09;0.67)* | 0.21 (−0.07;0.49) |
Gender | ||||
Male | 0.28 | 1.74 | 0.00 (−0.11;0.11) | −0.01 (−0.14;0.12) |
Female | 0.28 | 1.77 | ref | ref |
Education (graduation) | ||||
High school | 0.26 | 1.60 | −0.01 (−0.12;0.11) | −0.05 (−0.18;0.07) |
Vocational school, Junior college | 0.35 | 2.22 | 0.08 (−0.08;0.25) | 0.07 (−0.09;0.24) |
University, Master’s program, Doctoral program | 0.26 | 1.61 | ref | ref |
Personal income | ||||
<¥2 million | 0.38 | 1.68 | 0.20 (0.01;0.38)* | 0.18 (−0.06;0.42) |
¥2–4 million | 0.26 | 1.90 | 0.08 (−0.08;0.24) | 0.10 (−0.09;0.29) |
¥4–6 million | 0.28 | 1.82 | 0.10 (−0.08;0.28) | 0.12 (−0.07;0.32) |
¥6–8 million | 0.35 | 1.74 | 0.17 (−0.06;0.41) | 0.18 (−0.06;0.42) |
>¥8 million | 0.18 | 0.95 | ref | ref |
Unknown | 0.22 | 1.54 | 0.04 (−0.14;0.23) | 0.09 (−0.11;0.30) |
Chronic disease | ||||
None | 0.18 | 1.25 | ref | ref |
Present | 0.53 | 2.67 | 0.35 (0.18;0.52)* | 0.26 (0.12;0.41)* |
Industrial classification | ||||
Primary industry | 0.54 | 3.01 | ref | ref |
Secondary Industry | 0.30 | 1.76 | −0.24 (−0.59;0.11) | −0.15 (−0.48;0.19) |
Tertiary industry | 0.24 | 1.53 | −0.30 (−0.65;0.04) | −0.22 (−0.55;0.11) |
Occupational classification | ||||
White-collar worker | 0.23 | 1.42 | ref | ref |
Blue-collar worker | 0.31 | 1.93 | 0.08 (−0.03;0.18) | 0.05 (−0.06;0.15) |
Work shifts | ||||
Day shift | 0.26 | 1.68 | ref | ref |
Both day and night shifts | 0.47 | 2.66 | 0.21 (−0.35;0.77) | 0.17 (−0.37;0.72) |
Night shift | 0.25 | 1.76 | −0.01 (−0.18;0.16) | 0.03 (−0.15;0.20) |
Flexes, etc. | 0.52 | 2.36 | 0.26 (−0.07;0.59) | 0.21 (−0.12;0.53) |
. | Number of days of dental visits during working hours . | Univariable model . | Fully adjusted model . | |
---|---|---|---|---|
. | Mean . | SD . | Coefficient (95% CI) . | Coefficient (95% CI) . |
Total | 0.28 | 1.75 | ||
Place of dental check-ups | ||||
Not had the check-ups | 0.14 | 1.18 | −0.43 (−0.59;−0.26)* | −0.43 (−0.59;−0.27)* |
At the dental clinic | 0.57 | 2.67 | ref | ref |
At the workplace | 0.21 | 1.20 | −0.36 (−0.60;−0.12)* | −0.35 (−0.58;−0.12)* |
At both the dental clinic and the workplace | 0.32 | 1.29 | −0.25 (−0.48;−0.03)* | −0.23 (−0.45;−0.01)* |
Self−reported oral health | ||||
Excellent | 0.31 | 1.85 | ref | ref |
Good | 0.19 | 1.25 | −0.12 (−0.34;0.10) | −0.13 (−0.35;0.09) |
Fair | 0.26 | 1.76 | −0.06 (−0.28;0.16) | −0.07 (−0.29;0.16) |
Poor | 0.39 | 2.19 | 0.08 (−0.18;0.33) | 0.01 (−0.25;0.27) |
Very Poor | 0.35 | 1.41 | 0.03 (−0.28;0.34) | −0.14 (−0.49;0.20) |
Number of teeth | ||||
0–14 | 0.77 | 2.75 | 0.53 (0.12;0.93)* | 0.44 (0.05;0.82)* |
15–19 | 0.58 | 2.61 | 0.33 (0.02;0.65)* | 0.25 (−0.06;0.56) |
20–23 | 0.21 | 1.41 | −0.03 (−0.15;0.09) | −0.03 (−0.15;0.09) |
24–27 | 0.21 | 1.69 | −0.04 (−0.17;0.10) | −0.06 (−0.19;0.08) |
28–32 | 0.25 | 1.63 | ref | ref |
Gum bleeding | ||||
Always | 0.50 | 2.13 | 0.26 (−0.07;0.60) | 0.24 (−0.13;0.61) |
Occasionally | 0.32 | 1.72 | 0.08 (−0.03;0.19) | 0.08 (−0.04;0.20) |
None | 0.23 | 1.75 | ref | ref |
Age (years) | ||||
20–29 | 0.16 | 0.84 | ref | ref |
30–39 | 0.26 | 1.69 | 0.10 (−0.02;0.23) | 0.08 (−0.05;0.20) |
40–49 | 0.22 | 1.25 | 0.07 (−0.04;0.17) | 0.01 (−0.11;0.12) |
50–59 | 0.32 | 1.93 | 0.17 (0.02;0.31)* | 0.06 (−0.10;0.21) |
60–65 | 0.54 | 3.01 | 0.38 (0.09;0.67)* | 0.21 (−0.07;0.49) |
Gender | ||||
Male | 0.28 | 1.74 | 0.00 (−0.11;0.11) | −0.01 (−0.14;0.12) |
Female | 0.28 | 1.77 | ref | ref |
Education (graduation) | ||||
High school | 0.26 | 1.60 | −0.01 (−0.12;0.11) | −0.05 (−0.18;0.07) |
Vocational school, Junior college | 0.35 | 2.22 | 0.08 (−0.08;0.25) | 0.07 (−0.09;0.24) |
University, Master’s program, Doctoral program | 0.26 | 1.61 | ref | ref |
Personal income | ||||
<¥2 million | 0.38 | 1.68 | 0.20 (0.01;0.38)* | 0.18 (−0.06;0.42) |
¥2–4 million | 0.26 | 1.90 | 0.08 (−0.08;0.24) | 0.10 (−0.09;0.29) |
¥4–6 million | 0.28 | 1.82 | 0.10 (−0.08;0.28) | 0.12 (−0.07;0.32) |
¥6–8 million | 0.35 | 1.74 | 0.17 (−0.06;0.41) | 0.18 (−0.06;0.42) |
>¥8 million | 0.18 | 0.95 | ref | ref |
Unknown | 0.22 | 1.54 | 0.04 (−0.14;0.23) | 0.09 (−0.11;0.30) |
Chronic disease | ||||
None | 0.18 | 1.25 | ref | ref |
Present | 0.53 | 2.67 | 0.35 (0.18;0.52)* | 0.26 (0.12;0.41)* |
Industrial classification | ||||
Primary industry | 0.54 | 3.01 | ref | ref |
Secondary Industry | 0.30 | 1.76 | −0.24 (−0.59;0.11) | −0.15 (−0.48;0.19) |
Tertiary industry | 0.24 | 1.53 | −0.30 (−0.65;0.04) | −0.22 (−0.55;0.11) |
Occupational classification | ||||
White-collar worker | 0.23 | 1.42 | ref | ref |
Blue-collar worker | 0.31 | 1.93 | 0.08 (−0.03;0.18) | 0.05 (−0.06;0.15) |
Work shifts | ||||
Day shift | 0.26 | 1.68 | ref | ref |
Both day and night shifts | 0.47 | 2.66 | 0.21 (−0.35;0.77) | 0.17 (−0.37;0.72) |
Night shift | 0.25 | 1.76 | −0.01 (−0.18;0.16) | 0.03 (−0.15;0.20) |
Flexes, etc. | 0.52 | 2.36 | 0.26 (−0.07;0.59) | 0.21 (−0.12;0.53) |
P < 0.05.
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 hours . | Univariable model . | Fully adjusted model . | |
---|---|---|---|---|
. | Mean . | SD . | Coefficient (95% CI) . | Coefficient (95% CI) . |
Total | 0.28 | 1.75 | ||
Place of dental check-ups | ||||
Not had the check-ups | 0.14 | 1.18 | −0.43 (−0.59;−0.26)* | −0.43 (−0.59;−0.27)* |
At the dental clinic | 0.57 | 2.67 | ref | ref |
At the workplace | 0.21 | 1.20 | −0.36 (−0.60;−0.12)* | −0.35 (−0.58;−0.12)* |
At both the dental clinic and the workplace | 0.32 | 1.29 | −0.25 (−0.48;−0.03)* | −0.23 (−0.45;−0.01)* |
Self−reported oral health | ||||
Excellent | 0.31 | 1.85 | ref | ref |
Good | 0.19 | 1.25 | −0.12 (−0.34;0.10) | −0.13 (−0.35;0.09) |
Fair | 0.26 | 1.76 | −0.06 (−0.28;0.16) | −0.07 (−0.29;0.16) |
Poor | 0.39 | 2.19 | 0.08 (−0.18;0.33) | 0.01 (−0.25;0.27) |
Very Poor | 0.35 | 1.41 | 0.03 (−0.28;0.34) | −0.14 (−0.49;0.20) |
Number of teeth | ||||
0–14 | 0.77 | 2.75 | 0.53 (0.12;0.93)* | 0.44 (0.05;0.82)* |
15–19 | 0.58 | 2.61 | 0.33 (0.02;0.65)* | 0.25 (−0.06;0.56) |
20–23 | 0.21 | 1.41 | −0.03 (−0.15;0.09) | −0.03 (−0.15;0.09) |
24–27 | 0.21 | 1.69 | −0.04 (−0.17;0.10) | −0.06 (−0.19;0.08) |
28–32 | 0.25 | 1.63 | ref | ref |
Gum bleeding | ||||
Always | 0.50 | 2.13 | 0.26 (−0.07;0.60) | 0.24 (−0.13;0.61) |
Occasionally | 0.32 | 1.72 | 0.08 (−0.03;0.19) | 0.08 (−0.04;0.20) |
None | 0.23 | 1.75 | ref | ref |
Age (years) | ||||
20–29 | 0.16 | 0.84 | ref | ref |
30–39 | 0.26 | 1.69 | 0.10 (−0.02;0.23) | 0.08 (−0.05;0.20) |
40–49 | 0.22 | 1.25 | 0.07 (−0.04;0.17) | 0.01 (−0.11;0.12) |
50–59 | 0.32 | 1.93 | 0.17 (0.02;0.31)* | 0.06 (−0.10;0.21) |
60–65 | 0.54 | 3.01 | 0.38 (0.09;0.67)* | 0.21 (−0.07;0.49) |
Gender | ||||
Male | 0.28 | 1.74 | 0.00 (−0.11;0.11) | −0.01 (−0.14;0.12) |
Female | 0.28 | 1.77 | ref | ref |
Education (graduation) | ||||
High school | 0.26 | 1.60 | −0.01 (−0.12;0.11) | −0.05 (−0.18;0.07) |
Vocational school, Junior college | 0.35 | 2.22 | 0.08 (−0.08;0.25) | 0.07 (−0.09;0.24) |
University, Master’s program, Doctoral program | 0.26 | 1.61 | ref | ref |
Personal income | ||||
<¥2 million | 0.38 | 1.68 | 0.20 (0.01;0.38)* | 0.18 (−0.06;0.42) |
¥2–4 million | 0.26 | 1.90 | 0.08 (−0.08;0.24) | 0.10 (−0.09;0.29) |
¥4–6 million | 0.28 | 1.82 | 0.10 (−0.08;0.28) | 0.12 (−0.07;0.32) |
¥6–8 million | 0.35 | 1.74 | 0.17 (−0.06;0.41) | 0.18 (−0.06;0.42) |
>¥8 million | 0.18 | 0.95 | ref | ref |
Unknown | 0.22 | 1.54 | 0.04 (−0.14;0.23) | 0.09 (−0.11;0.30) |
Chronic disease | ||||
None | 0.18 | 1.25 | ref | ref |
Present | 0.53 | 2.67 | 0.35 (0.18;0.52)* | 0.26 (0.12;0.41)* |
Industrial classification | ||||
Primary industry | 0.54 | 3.01 | ref | ref |
Secondary Industry | 0.30 | 1.76 | −0.24 (−0.59;0.11) | −0.15 (−0.48;0.19) |
Tertiary industry | 0.24 | 1.53 | −0.30 (−0.65;0.04) | −0.22 (−0.55;0.11) |
Occupational classification | ||||
White-collar worker | 0.23 | 1.42 | ref | ref |
Blue-collar worker | 0.31 | 1.93 | 0.08 (−0.03;0.18) | 0.05 (−0.06;0.15) |
Work shifts | ||||
Day shift | 0.26 | 1.68 | ref | ref |
Both day and night shifts | 0.47 | 2.66 | 0.21 (−0.35;0.77) | 0.17 (−0.37;0.72) |
Night shift | 0.25 | 1.76 | −0.01 (−0.18;0.16) | 0.03 (−0.15;0.20) |
Flexes, etc. | 0.52 | 2.36 | 0.26 (−0.07;0.59) | 0.21 (−0.12;0.53) |
. | Number of days of dental visits during working hours . | Univariable model . | Fully adjusted model . | |
---|---|---|---|---|
. | Mean . | SD . | Coefficient (95% CI) . | Coefficient (95% CI) . |
Total | 0.28 | 1.75 | ||
Place of dental check-ups | ||||
Not had the check-ups | 0.14 | 1.18 | −0.43 (−0.59;−0.26)* | −0.43 (−0.59;−0.27)* |
At the dental clinic | 0.57 | 2.67 | ref | ref |
At the workplace | 0.21 | 1.20 | −0.36 (−0.60;−0.12)* | −0.35 (−0.58;−0.12)* |
At both the dental clinic and the workplace | 0.32 | 1.29 | −0.25 (−0.48;−0.03)* | −0.23 (−0.45;−0.01)* |
Self−reported oral health | ||||
Excellent | 0.31 | 1.85 | ref | ref |
Good | 0.19 | 1.25 | −0.12 (−0.34;0.10) | −0.13 (−0.35;0.09) |
Fair | 0.26 | 1.76 | −0.06 (−0.28;0.16) | −0.07 (−0.29;0.16) |
Poor | 0.39 | 2.19 | 0.08 (−0.18;0.33) | 0.01 (−0.25;0.27) |
Very Poor | 0.35 | 1.41 | 0.03 (−0.28;0.34) | −0.14 (−0.49;0.20) |
Number of teeth | ||||
0–14 | 0.77 | 2.75 | 0.53 (0.12;0.93)* | 0.44 (0.05;0.82)* |
15–19 | 0.58 | 2.61 | 0.33 (0.02;0.65)* | 0.25 (−0.06;0.56) |
20–23 | 0.21 | 1.41 | −0.03 (−0.15;0.09) | −0.03 (−0.15;0.09) |
24–27 | 0.21 | 1.69 | −0.04 (−0.17;0.10) | −0.06 (−0.19;0.08) |
28–32 | 0.25 | 1.63 | ref | ref |
Gum bleeding | ||||
Always | 0.50 | 2.13 | 0.26 (−0.07;0.60) | 0.24 (−0.13;0.61) |
Occasionally | 0.32 | 1.72 | 0.08 (−0.03;0.19) | 0.08 (−0.04;0.20) |
None | 0.23 | 1.75 | ref | ref |
Age (years) | ||||
20–29 | 0.16 | 0.84 | ref | ref |
30–39 | 0.26 | 1.69 | 0.10 (−0.02;0.23) | 0.08 (−0.05;0.20) |
40–49 | 0.22 | 1.25 | 0.07 (−0.04;0.17) | 0.01 (−0.11;0.12) |
50–59 | 0.32 | 1.93 | 0.17 (0.02;0.31)* | 0.06 (−0.10;0.21) |
60–65 | 0.54 | 3.01 | 0.38 (0.09;0.67)* | 0.21 (−0.07;0.49) |
Gender | ||||
Male | 0.28 | 1.74 | 0.00 (−0.11;0.11) | −0.01 (−0.14;0.12) |
Female | 0.28 | 1.77 | ref | ref |
Education (graduation) | ||||
High school | 0.26 | 1.60 | −0.01 (−0.12;0.11) | −0.05 (−0.18;0.07) |
Vocational school, Junior college | 0.35 | 2.22 | 0.08 (−0.08;0.25) | 0.07 (−0.09;0.24) |
University, Master’s program, Doctoral program | 0.26 | 1.61 | ref | ref |
Personal income | ||||
<¥2 million | 0.38 | 1.68 | 0.20 (0.01;0.38)* | 0.18 (−0.06;0.42) |
¥2–4 million | 0.26 | 1.90 | 0.08 (−0.08;0.24) | 0.10 (−0.09;0.29) |
¥4–6 million | 0.28 | 1.82 | 0.10 (−0.08;0.28) | 0.12 (−0.07;0.32) |
¥6–8 million | 0.35 | 1.74 | 0.17 (−0.06;0.41) | 0.18 (−0.06;0.42) |
>¥8 million | 0.18 | 0.95 | ref | ref |
Unknown | 0.22 | 1.54 | 0.04 (−0.14;0.23) | 0.09 (−0.11;0.30) |
Chronic disease | ||||
None | 0.18 | 1.25 | ref | ref |
Present | 0.53 | 2.67 | 0.35 (0.18;0.52)* | 0.26 (0.12;0.41)* |
Industrial classification | ||||
Primary industry | 0.54 | 3.01 | ref | ref |
Secondary Industry | 0.30 | 1.76 | −0.24 (−0.59;0.11) | −0.15 (−0.48;0.19) |
Tertiary industry | 0.24 | 1.53 | −0.30 (−0.65;0.04) | −0.22 (−0.55;0.11) |
Occupational classification | ||||
White-collar worker | 0.23 | 1.42 | ref | ref |
Blue-collar worker | 0.31 | 1.93 | 0.08 (−0.03;0.18) | 0.05 (−0.06;0.15) |
Work shifts | ||||
Day shift | 0.26 | 1.68 | ref | ref |
Both day and night shifts | 0.47 | 2.66 | 0.21 (−0.35;0.77) | 0.17 (−0.37;0.72) |
Night shift | 0.25 | 1.76 | −0.01 (−0.18;0.16) | 0.03 (−0.15;0.20) |
Flexes, etc. | 0.52 | 2.36 | 0.26 (−0.07;0.59) | 0.21 (−0.12;0.53) |
P < 0.05.
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