Onate-Figuérez Ana, Avendaño-Coy Juan, Fernández-Canosa Sara, Soto-León Vanesa, López-Molina María Isabel, Oliviero Antonio
FENNSI Group, National Hospital for Paraplegics, SESCAM, Spain; GIFTO Group, Faculty of Physiotherapy and Nursing, Universidad de Castilla La Mancha (UCLM), Toledo; National Hospital for Paraplegics, SESCAM, Toledo, Spain.
GIFTO Group, Faculty of Physiotherapy and Nursing, Universidad de Castilla La Mancha (UCLM), Toledo.
Arch Phys Med Rehabil. 2023 Jan;104(1):132-142. doi: 10.1016/j.apmr.2022.07.017. Epub 2022 Aug 12.
To investigate the association between fatigue and clinical and demographic variables in people with spinal cord injury (SCI).
Five databases (MEDLINE, Physiotherapy Evidence Database, Cochrane, Google Scholar, Cumulative Index to Nursing and Allied Health) were searched up to November 2021.
Observational studies that reported the association between fatigue and clinical and demographic variables in English or Spanish were eligible. Reviews, qualitative research studies, and nonoriginal articles were excluded. Twenty-three of the 782 identified studies met the inclusion criteria for the meta-analysis.
Two researchers independently extracted the data. The strength of the association between each factor and fatigue was determined by the effect size. When the results of the effect size were expressed with different statistics, the correlation coefficient was the preferred estimation. The risk of bias was assessed using the Appraisal Tool for Cross-Sectional Studies and the Newcastle-Ottawa Scale.
A pooled analysis of the associations between fatigue and 17 factors was performed. A direct association was found between fatigue and 9 factors (sorted by effect size): anxiety (r=0.57; 95% CI, 0.29-0.75), stress (r=0.54; 95% confidence interval [CI], 0.26-0.74), depression (r=0.47; 95% CI, 0.44-0.50), pain (r=0.34; 95% CI, 0.16-0.50), analgesic medication (r=0.32; 95% CI, 0.28-0.36), assistive devices (r=0.23; 95% CI, 0.17-0.29), lesion level (r=0.15; 95% CI, 0.07-0.23), incomplete SCI (r=0.13; 95% CI, 0.05-0.22), and medication (r=0.12; 95% CI, 0.01-0.23). An inverse association was found with 3 factors (sorted by effect size): self-efficacy (r=-0.63; 95% CI, -0.81 to -0.35), participation (r=-0.32; 95% CI, -0.58 to -0.001), and physical activity (r=-0.17; 95% CI, -0.28 to -0.05). No association was found with age, sex, educational level, time since injury, and spasticity.
Several factors were associated with fatigue in people with SCI, with those related to mental health showing the strongest associations. These results should be interpreted with caution because of the high heterogeneity observed in some factors.
探讨脊髓损伤(SCI)患者疲劳与临床及人口统计学变量之间的关联。
检索了截至2021年11月的五个数据库(医学文献数据库、物理治疗证据数据库、考科蓝数据库、谷歌学术、护理及相关健康累积索引)。
以英文或西班牙文报告疲劳与临床及人口统计学变量之间关联的观察性研究符合要求。综述、定性研究和非原创文章被排除。782项已识别研究中有23项符合荟萃分析的纳入标准。
两名研究人员独立提取数据。各因素与疲劳之间关联的强度由效应量确定。当效应量结果用不同统计量表示时,相关系数是首选估计值。使用横断面研究评估工具和纽卡斯尔-渥太华量表评估偏倚风险。
对疲劳与17个因素之间的关联进行了汇总分析。发现疲劳与9个因素之间存在直接关联(按效应量排序):焦虑(r = 0.57;95%置信区间[CI],0.29 - 0.75)、压力(r = 0.54;95% CI,0.26 - 0.74)、抑郁(r = 0.47;95% CI,0.44 - 0.50)、疼痛(r = 0.34;95% CI,0.16 - 0.50)、止痛药物(r = 0.32;95% CI,0.28 - 0.36)、辅助装置(r = 0.23;95% CI,0.17 - 0.29)、损伤水平(r = 0.15;95% CI,0.07 - 0.23)、不完全性SCI(r = 0.13;95% CI,0.05 - 0.22)和药物(r = 0.12;95% CI,0.01 - 0.23)。发现与3个因素存在负相关(按效应量排序):自我效能感(r = -0.63;95% CI,-0.81至-0.35)、参与度(r = -0.32;95% CI,-0.58至-0.001)和身体活动(r = -0.17;95% CI,-0.28至-0.05)。未发现与年龄、性别、教育水平、受伤时间和痉挛存在关联。
脊髓损伤患者的疲劳与多个因素相关,其中与心理健康相关的因素关联最强。由于在某些因素中观察到高度异质性,这些结果应谨慎解读。