Table 5.

Linear associations between sleep quality scores and covariates.

(A) Univariate linear regression models between sleep quality scores and DAS28-CRP as a continuous variable.
ESSAISPSQI
EstimatepModel R2EstimatepModel R2EstimatepModel R2
DAS28Relationship not statistically significant0.898< 0.00010.07690.69459< 0.00010.0580
(B) Univariate logistic regression models between sleep quality scores and DAS28-CRP as a continuous variable.
ESSAISPSQI
OR (95% CI)pOR (95% CI)pOR (95% CI)p
DAS28Relationship not statistically significant1.300 (1.104–1.530)0.00161.409 (1.173–1.692)0.0002
(C) Multivariate linear regression models by sleep scale with DAS28-CRP as a continuous variable.
ESSEstimatepAISEstimatepPSQIEstimatep
R2 = 0.235R2 = 0.437R2 = 0.391
p < 0.0001p < 0.0001p < 0.0001
n = 264n = 286n = 274
DAS28−0.5070.0248DAS280.4780.0034DAS280.3360.0269
PANAS Score N0.1440.0084Concurrent medication: glucocorticoids0.9760.0417Sleep medication3.245< 0.0001
SF-36 General Health0.2200.0213Comorbidities1.5880.0152Living with partner−1.0170.0376
SF-36 Mental Health0.2380.0499PANAS Score N0.224< 0.0001PANAS Score N0.182< 0.0001
SF-36 Vitality−0.2830.0478PANAS Score P−0.0960.0028PANAS Score P–0.0690.0250
(D) Multivariate logistic regression models by sleep scale with DAS28-CRP as a continuous variable.
ESSOR (95% CI)pAISOR (95% CI)pPSQIOR (95% CI)p
n = 261n = 286n = 270
LR < 0.0001LR < 0.0001LR < 0.0001
Score < 0.0001Score < 0.0001Score < 0.0001
Wald = 0.0021Wald = 0.0001Wald = 0.0003
DAS282.388 (1.142–4.993)0.0207DAS281.229 (1.002–1.508)0.0483DAS281.348 (1.058–1.718)0.0157
PANAS Score N1.105 (1.035–1.180)0.0029Comorbidities2.324 (1.023–5.277)0.0439Sleep medication16.741 (3.607–77.700)0.0003
SF-36 General Health1.154 (1.025–1.298)0.0174Caffeinated drinks2.297 (1.017–5.183)0.0453PANAS Score N1.106 (1.049–1.166)0.0002
SF-36 Mental Health1.205 (1.034–1.403)0.0167PANAS Score N1.097 (1.050–1.146)< 0.001
SF-36 Role Physical0.865 (0.759–0.984)0.0280PANAS Score P0.961 (0.924–0.999)0.0466
SF-36 Vitality0.813 (0.679–0.972)0.0234
  • For multivariate linear and logistic regression models, only factors found to be significantly associated with sleep quality are presented. For multivariate linear regression models: covariate estimate > 0: increase of the covariate leads to an increase of sleep quality score (worsens sleepiness); covariate estimate < 0: increase of the covariate leads to a decrease of sleep quality score (improves sleepiness). For multivariate logistic regression models: OR < 1: means that the variable reduces the risk of having poor sleep quality and denotes a negative relationship of the covariate with the risk of having excessive daytime sleepiness; OR > 1: means that the variable increases the risk of having poor sleep quality and denotes a positive relationship of the covariate with the risk of having excessive daytime sleepiness. AIS: Athens Insomnia Scale; DAS28-CRP: 28-joint Disease Activity Score (C-reactive protein); ESS: Epworth Sleepiness Scale; LR: likelihood ratio; PANAS P and N: Positive and Negative Affect Schedule positive and negative emotions; PSQI: Pittsburgh Sleep Quality Index; SF-36: Medical Outcomes Study Short Form-36 Health Survey.