Table 3

Longitudinal regression of clinical parameters on depressed mood, daily stressors, avoidance coping and social support

Independent variablesVAS painVAS morning stiffnessTender Joint Count 53Erythrocyte Sedimentation Rate
B95% CIObsB95% CIObsRR95% CIObsExp(B)95% CIObs
1Depressed mood
(HADS depression score)
2.34 1.59 to 3.08 886 4.09 1.18 to 7.00 892 1.06 1.03 to 1.09 8941.010.99 to 1.03821
Between-subject effect 2.63 1.76 to 3.50 4.62 1.34 to 7.89 1.08 1.04 to 1.12 1.031.00 to 1.06
Within-subject effect 1.55 0.11 to 2.98 2.14−4.14 to 8.411.020.97 to 1.081.000.98 to 1.02
2Daily stressors
(EPCL frequency score)
0.44 0.04 to 0.84 8920.31−1.19 to 1.808981.010.99 to 1.029001.000.99 to 1.01827
Between-subject effect 0.59 0.11 to 1.07 −0.15−1.89 to 1.581.010.99 to 1.031.010.99 to 1.02
Within-subject effect0.12−0.59 to 0.831.67−1.32 to 4.660.990.97 to 1.021.000.98 to 1.01
3Avoidance coping
(UCL avoidance score)
0.47−0.49 to 1.42883−0.66−4.22 to 2.898891.031.00 to 1.078910.990.97 to 1.01818
Between-subject effect1.03−0.15 to 2.21−0.22−4.38 to 3.941.010.97 to 1.071.020.98 to 1.06
Within-subject effect−0.58−2.19 to 1.02−1.87−8.74 to 4.991.050.99 to 1.120.980.96 to 1.01
4Social support
(IRGL perceived support)
−1.97 −2.77 to –1.17 892 −4.34 −7.40 to –1.28 898 0.93 0.91 to 0.96 9001.000.98 to 1.02826
Between-subject effect −2.24 −3.23 to –1.25 −3.65 −7.26 to –0.05 0.93 0.89 to 0.97 1.000.96 to 1.03
Within-subject effect −1.47 −2.82 to –0.12 −6.11 −11.93 to –0.30 0.94 0.90 to 0.99 1.000.98 to 1.02
  • B, regression coefficient; analysed with linear mixed models analyses taking into account left censoring. RR, rate ratio; analysed with negative binomial mixed models taking into account left censoring in a variable in which a score of 0 really means zero. Exp(B), exponent (regression coefficient); analysed with linear mixed models in which ESR was log-transformed (ln(ESR)) because of skewness to the right.

  • Hybrid mixed models were used to split the Bs and RRs into a between-subject (ie, cross-sectional) and within-subject (ie, longitudinal) effect. The between-subject effect shows the difference in the outcome variable between two patients having a one-unit difference in the independent variable. The within-subject effect shows the increase in the outcome variable within one patient when the independent variable increases with one unit.

  • In bold are statistically significant associations with a p value <0.05.

  • EPCL, Everyday Problem Checklist; ESR, erythrocyte sedimentation rate; HADS, Hospital Anxiety and Depression Scale; IRGL, Impact of Rheumatic Diseases on General Health and Lifestyle; Obs, number of observations of the outcome used in analysis; UCL, Utrecht Coping List; VAS, Visual Analogue Scale.