Skip to main content
. 2019 Mar 20;9(3):e022006. doi: 10.1136/bmjopen-2018-022006

Table 2.

Association of neck–shoulder pain (NSP) trajectory class with sick leave (days/month) and work ability (ordinal scale 0–10) over 1 year, referencing low NSP

GEE models
(classes)
N Sick leave Work ability
P value RR 95% CI
Lower
95% CI
Upper
P value OR 95% CI
Lower
95% CI
Upper
Model 1
 Low NSP 292 1.00 1.00
 Moderate NSP 208 <0.001 3.28 1.89 5.68 <0.001 2.45 1.87 3.21
 Strong NSP 178 <0.001 8.98 4.78 16.89 <0.001 8.64 6.38 11.69
 Severe NSP 70 <0.001 17.64 9.36 33.23 <0.001 15.07 9.94 22.85
Model 2
 Low NSP 286 1.00 1.00
 Moderate NSP 204 <0.001 3.25 1.87 5.64 <0.001 2.40 1.83 3.16
 Strong NSP 174 <0.001 8.61 4.54 16.33 <0.001 9.03 6.62 12.31
 Severe NSP 68 <0.001 16.00 8.17 31.34 <0.001 14.77 9.63 22.66
Model 3
 Low NSP 277 1.00 1.00
 Moderate NSP 199 <0.001 3.11 1.75 5.52 <0.001 2.43 1.84 3.20
 Strong NSP 165 <0.001 7.58 3.91 14.71 <0.001 8.12 5.91 11.16
 Severe NSP 66 <0.001 13.83 6.72 28.49 <0.001 12.93 8.50 19.67

RR estimates, indicating the relative increase in the number of days on sick leave per month, were obtained using GEE with a Poisson distribution for days on sick-leave (measured at 4-week intervals). ORs indicating the likelihood of a 1-unit reduction in work ability, were obtained using GEE with a multinomial distribution for work ability (measured at 12-week intervals).

Model 1: unadjusted.

Model 2: adjusted for age, gender and body mass index.

Model 3: additionally, adjusted for occupational sector (four categories, referencing administration) and physical work load.

GEE, generalised estimation equation; RR, relative risk.