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Journal of Occupational Safety and Health 19: 373-388 (2011)
                            
work features            Body parts                
    upper back    waist    thighs    knees    legs    ankles/feet    
    n (%)    n (%)    n (%)    n (%)    n (%)    n    (%)
Rest during work                            
No    40 (33.1)    65 (53.7)    21 (17.4)    40 (33.1)    29 (24.0)    43    (35.5)
Yes    74 (19.8)    163 (43.7)    49 (13.1)    115 (30.8)    67 (18.0)    96    (25.7)
Chi-square value    0.726    0.404    0.746    0.872    0.902        0.568
Do housework after work                            
No    38 (23.0)    70 (42.4)    23 (13.9)    51 (30.9)    30 (18.2)    52    (13.5)
Yes    76 (23.0)    159 (48.2)    48 (14.5)    105 (31.8)    66 (20.0)    87    (26.4)
Chi-square value    0.441    0.136    0.417    0.774    0.111        0.499
aBold items refer to p<0.05
Table 2 the correlation analysis of the study objects’ work features and sleep(reach the significance)
work features        No        Yes        Crude odds ratio        Adjusted odds ratio^    
    n    (%)    n    (%)    OR3    95% CIb /j-value        ORa 95% CIb    p-value
monthly work hours                        Difficult to sleep            
<160    23    59.0    16    41.0    1.00            1.00    
160>and<180    101    49.8    102    50.2    1.45    (0.73,2.91)    0.293    1.49 (0.73,3.05)    0.279
180>and<200    56    43.8    72    56.2    1.85    (0.89，3.83)    0.098    1.80 (0.84，3.86)    0.132
>200    46    37.1    78    62.9    2.44    (1.17,5.08)    0.017    2.38 (1.09,5.17)    0.029
                    Trend test ^ =0.004 /尸0.201            Trend test =0.003/7=0.350    
Total seniority                        Sleep disruption            
<1    45    57.0    34    43.0    1.00            1.00    
l>and<6    113    54.1    96    45.9    1.12    (0.67，1.90)    0.660    1.35 (0.77,2.36)    0.293
6>and<l1    43    47.3    48    52.7    1.48    (0.81,2.71)    0.207    2.05 (1.02,4.14)    0.044
1l>and<16    35    60.3    23    39.7    0.87    (0.44, 1.73)    0.692    1.24 (0.56,2.74)    0.592
16>and<21    11    47.8    12    52.2    1.44    (0.57,3.67)    0.440    2.37 (0.84，6.72)    0.105
>21    23    69.7    10    30.3    0.58    (0.24，1.37)    0.211    0.95 (0.35，2.56)    0.922
                    Trend test jS=-0.016p=0A99            Trend test 0 =-0.004 p=0.806    
aThe adjusted odds ratio has also controlled the age, gender, marital status，living arrangements, exercise habits, and smoking habits，n=491 _ bOR= odds ratio; CI= confidence interval.
“Work seniority” and discomfort in the lower legs, ankles/feet have a significant correlation (p<0.05), in which, the ones with a higher prevalence rate are mostly the ones who have worked less than one year (27.8%, 39.2%), the ones with longer work seniority (>16 years) on the other hand can handle it in a proper way. The possible factor may be because the study objects are current workers; the ones who work longer and have musculoskeletal discomfort may have
left the job. Also, maybe the ones with longer work seniority have more work experience, so they know more how to themselves, and the information is worth being included in the training course.
The ones who “have to do housework after work” (only upper arm discomfort-27.9%) have a significant difference (p<0.05) with the ones do not have to do house向您推薦：台北市 廚具  防盜門窗  場地租借  

來增強骨豁強度
血流量
凱氏運動(Kegels Exercises)
經期健康（Menstriml Health )
身體的反應為準
(手法二）明文規定法
甲氧基雌g炔醇 (mestranol)
第十節月經與經期健康
第八章正反器程式製作 7(59
由於B前我國政府根本無有關「婦女健康」work after work (Table 1). This may be because that doing housework is a
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