Dana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Rush University Medical Center, Chicago, Illinois.
Arthritis Care Res (Hoboken). 2020 Oct;72(10):1440-1448. doi: 10.1002/acr.24052.
Fatigue is common among individuals with systemic lupus erythematosus (SLE), but the causes are not well understood. Our objective was to examine perceived stress and depressive symptoms as predictors of fatigue in SLE.
Data from 2 years of the Lupus Outcomes Study (n = 650 patients), obtained through annual structured interviews, were used. Fatigue was measured with the Short Form 36 (SF-36) vitality scale along with a variety of self-report measures of disease, depression, and stress. Multivariate linear regression models examined predictors of changes in fatigue. Model 1 tested the association of time 1 (T1) depression with time 2 (T2) fatigue; model 2 added T1 perceived stress to model 1, and final models added T1-to-T2 decrease in stress. All analyses controlled for T1 fatigue, age, sex, self-report of fibromyalgia, pain, and SLE duration, activity, and damage.
Mean ± SD age was 51 ± 12 years, 92% of participants were women, and 68% were white. The mean ± SD SF-36 fatigue score was 55 ± 24. T1 depression significantly predicted T2 fatigue. When T1 stress was added, stress (β = 1.7 [95% confidence interval (95% CI) 1.1, 2.2]; P < 0.0001) significantly predicted T2 fatigue, but depression was no longer significant. The addition of T1-to-T2 decrease in stress was associated with a clinically meaningful decline in fatigue (β = -11.8 [95% CI -15.6, -8.9]; P < 0.0001).
While depressive symptoms initially predicted subsequent fatigue, the effects were mediated by stress. A decrease in stress, in addition, was associated with a clinically meaningful decrease in fatigue. These results suggest that perceived stress plays an important role in SLE fatigue and may be an important focus of interventions for fatigue.
系统性红斑狼疮(SLE)患者常出现疲劳,但病因尚不清楚。本研究旨在探讨感知压力和抑郁症状是否可预测 SLE 患者的疲劳。
本研究使用了 2 年时间的狼疮结局研究(n=650 例患者)的数据,这些数据是通过年度结构访谈获得的。疲劳采用 SF-36 活力量表和各种疾病、抑郁和压力的自我报告措施进行测量。多元线性回归模型用于检验疲劳变化的预测因素。模型 1 检验了 T1 抑郁与 T2 疲劳之间的关联;模型 2 在模型 1 中加入了 T1 感知压力,最终模型加入了 T1 到 T2 的压力下降。所有分析均控制了 T1 疲劳、年龄、性别、纤维肌痛、疼痛、SLE 病程、活动度和损伤的自我报告。
平均年龄±标准差为 51±12 岁,92%的参与者为女性,68%为白人。SF-36 疲劳评分的平均±标准差为 55±24。T1 抑郁显著预测 T2 疲劳。当加入 T1 压力时,压力(β=1.7[95%置信区间(95%CI)为 1.1~2.2];P<0.0001)显著预测 T2 疲劳,但抑郁不再显著。T1 到 T2 压力下降的增加与疲劳的临床显著下降相关(β=-11.8[95%CI-15.6,-8.9];P<0.0001)。
尽管抑郁症状最初预测了随后的疲劳,但这种影响是通过压力介导的。此外,压力的降低与疲劳的临床显著下降相关。这些结果表明,感知压力在 SLE 疲劳中起着重要作用,可能是疲劳干预的重要焦点。