|
Variable
|
Current smoking (N = 19816)
|
Excess alcohol consumption (N = 18922)
|
Physical inactivity (N = 20728)
|
Poor dietary habits (N = 20728)
|
Stress (N = 19817)
|
Non-attendance of check-up (N = 20148)
|
|---|
| |
OR
|
(95%CI)
|
OR
|
(95%CI)
|
OR
|
(95%CI)
|
OR
|
(95%CI)
|
OR
|
(95%CI)
|
OR
|
(95%CI)
|
|---|
|
Individual
| | | | | | | | | | | | |
|
Age (10 years)
|
0.76
|
(0.73, 0.79) ***
|
0.93
|
(0.87, 1.00)
|
0.70
|
(0.65, 0.75)***
|
0.70
|
(0.68, 0.73) ***
|
0.93
|
(0.90, 0.96) **
|
0.65
|
(0.63, 0.68) ***
|
|
Marital status
| | | | | | | | | | | | |
|
Married
|
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
|
Single
|
1.00
|
(0.89, 1.14)
|
1.00
|
(0.82, 1.21)
|
0.73
|
(0.65, 0.81) **
|
1.12
|
(1.01, 1.24) *
|
0.73
|
(0.66, 0.80) ***
|
0.63
|
(0.57, 0.70) ***
|
|
Widow
|
1.07
|
(0.82, 1.40)
|
0.76
|
(0.49, 1.19)
|
1.11
|
(0.91, 1.35)
|
1.09
|
(0.87, 1.36)
|
0.92
|
(0.76, 1.11)
|
0.82
|
(0.67, 1.02)
|
|
Divorced
|
2.67
|
(2.30, 3.09) ***
|
1.68
|
(1.33, 2.11) ***
|
1.09
|
(0.93, 1.27)
|
1.23
|
(1.06, 1.42) **
|
1.16
|
(1.01, 1.34) *
|
0.88
|
(0.76, 1.02)
|
|
Occupation a
| | | | | | | | | | | | |
|
Housework
|
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
|
Profession
|
1.08
|
(0.92, 1.25)
|
1.34
|
(1.06, 1.70) *
|
1.01
|
(0.90, 1.14)
|
1.03
|
(0.91, 1.17)
|
1.32
|
(1.18, 1.47) ***
|
0.26
|
(0.24, 0.30) ***
|
|
Clerk
|
0.97
|
(0.84, 1.12)
|
1.46
|
(1.19, 1.80) ***
|
1.15
|
(1.03, 1.28) **
|
1.06
|
(0.95, 1.19)
|
1.20
|
(1.09, 1.33) ***
|
0.28
|
(0.25, 0.31) ***
|
|
Sales work
|
1.57
|
(1.35, 1.82) ***
|
1.79
|
(1.42, 2.25) ***
|
1.11
|
(0.98, 1.25)
|
1.43
|
(1.26, 1.62) ***
|
1.19
|
(1.06, 1.34) **
|
0.48
|
(0.43, 0.54) ***
|
|
Service work
|
1.58
|
(1.37, 1.81) ***
|
1.91
|
(1.55, 2.36) ***
|
1.10
|
(0.98, 1.23)
|
1.37
|
(1.22, 1.54) ***
|
1.14
|
(1.03, 1.28) *
|
0.42
|
(0.37, 0.47) ***
|
|
Agriculture
|
0.70
|
(0.52, 0.96) *
|
1.21
|
(0.79, 1.86)
|
0.99
|
(0.81, 1.22)
|
1.06
|
(0.85, 1.32)
|
0.84
|
(0.70, 1.02)
|
0.56
|
(0.46, 0.68) ***
|
|
Labour
|
1.10
|
(0.94, 1.28)
|
1.07
|
(0.83, 1.38)
|
1.35
|
(1.20, 1.52) ***
|
1.38
|
(1.23, 1.56) ***
|
1.06
|
(0.95, 1.18)
|
0.36
|
(0.32, 0.40) ***
|
|
Others
|
1.30
|
(1.13, 1.48) ***
|
1.34
|
(1.08, 1.66) ***
|
1.03
|
(0.93, 1.15)
|
1.22
|
(1.09, 1.36) **
|
1.06
|
(0.96, 1.17)
|
0.53
|
(0.48, 0.59) ***
|
|
Income quintile
| | | | | | | | | | | | |
|
5th (highest)
|
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
1.00
| |
|
4th
|
1.12
|
(0.97, 1.29)
|
0.96
|
(0.78, 1.17)
|
1.06
|
(0.96, 1.17)
|
1.18
|
(1.06, 1.32) **
|
1.06
|
(0.97, 1.17)
|
1.21
|
(1.09, 1.34) ***
|
|
3rd
|
1.34
|
(1.16, 1.54) **
|
1.04
|
(0.85, 1.27)
|
1.11
|
(1.00, 1.22) *
|
1.24
|
(1.11, 1.39) ***
|
1.11
|
(1.01, 1.22) *
|
1.42
|
(1.29, 1.58) ***
|
|
2nd
|
1.66
|
(1.44, 1.90) ***
|
1.06
|
(0.86, 1.29)
|
1.21
|
(1.09, 1.34) ***
|
1.32
|
(1.19, 1.48) ***
|
1.14
|
(1.04, 1.26) **
|
1.75
|
(1.58, 1.93) ***
|
|
1st (lowest)
|
2.03
|
(1.76, 2.33) ***
|
1.28
|
(1.04, 1.56) *
|
1.24
|
(1.12, 1.38) ***
|
1.64
|
(1.47, 1.83) ***
|
1.26
|
(1.14, 1.39) ***
|
2.23
|
(2.01, 2.47) ***
|
|
Region
| | | | | | | | | | | | |
|
Per capita income (million yen)
|
1.93
|
(1.64, 2.28) **
|
1.49
|
(1.05, 2.10) *
|
0.76
|
(0.64, 0.90) **
|
1.12
|
(0.90, 1.40)
|
1.43
|
(1.23, 1.67) ***
|
1.75
|
(1.13, 2.27) ***
|
|
Unemployment (%)
|
1.08
|
(0.99, 1.18)
|
1.10
|
(1.03, 1.19) *
|
0.95
|
(0.92, 0.99) **
|
1.03
|
(0.98, 1.08)
|
1.00
|
(0.97, 1.04)
|
1.09
|
(1.03, 1.15) **
|
|
Regional random variance (SE) b
|
0.118
|
(0.026) ***
|
0.043
|
(0.019) *
|
0.009
|
(0.004) *
|
0.032
|
(0.009) ***
|
0.007
|
(0.004)
|
0.045
|
(0.011) ***
|
|
-2 log likelihood
|
13564.2
|
-2382.9
|
23140.5
|
23489.1
|
26988.4
|
23946.7
|
|
Intra-regional correlation (%)
|
26.1
|
11.4
|
2.6
|
8.8
|
2.1
|
11.8
|
- * p < 0.05, ** p < 0.01, *** p < 0.001
- a Profession = professional and technical workers; clerk = clerical and related workers; agriculture = agriculture, foresty and fishery workers; labour = craftmen, mining, production process and construction workers, and labourers.
- b Variance at the regional level in a logit model
