Characterizing fatigue phenotypes with other symptoms and clinically relevant outcomes among people with multiple sclerosis

被引:4
作者
Plow, Matthew [1 ]
Gunzler, Douglas D. [2 ]
Chang, Julia H. C. [1 ]
机构
[1] Case Western Reserve Univ, Frances Payne Bolton Sch Nursing, 10900 Euclid Ave, Cleveland, OH 44106 USA
[2] Case Western Reserve Univ, Sch Med, Populat & Quantitat Hlth Sci, MetroHlth Med Ctr, 2500 MetroHlth Dr, Cleveland, OH USA
关键词
Fatigue; Mental Health; Multiple Sclerosis; Depression; QUALITY-OF-LIFE; OLDER-ADULTS; VALIDATION; PARTICIPATION; QUESTIONNAIRE; MANAGEMENT; CLUSTERS; DISEASE; ASSOCIATION; PREVALENCE;
D O I
10.1007/s11136-022-03204-0
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Purpose Fatigue is a common symptom of multiple sclerosis (MS) and can adversely affect all aspect of quality of life. The etiology of fatigue remains unclear, and its treatments are suboptimal. Characterizing the phenotypes of fatigued persons with MS may help advance research on fatigue's etiology and identify ways to personalize fatigue interventions to improve quality of life. The purpose of this study was to identify fatigue phenotypes; examine phenotype stability overtime; and characterize phenotypes by health and function, social and environmental determinants, psychosocial factors, and engagement in healthy behaviors. Methods We conducted a longitudinal study over a 3-month period with 289 fatigued participants with MS. To identify fatigue phenotypes and determine transition probabilities, we used latent profile and transition analyses with valid self-report measures of mental and physical fatigue severity, the mental and physical impact of fatigue, depression, anxiety, and sleep quality. We used ANOVAs and effect sizes to characterize differences among phenotypes. Results The best fitting model included six subgroups of participants: Mild Phenotype, Mild-to-Moderate Phenotype, Moderate-to-Severe Phenotype, Severe Phenotype, Fatigue-dominant Phenotype, and Mental Health-dominant Phenotype. The transition analysis indicated that phenotypic membership was highly stable. Variables with a large eta squared effect size included environmental barriers, self-efficacy, and fatigue catastrophizing. Conclusion These results indicate that the magnitude of fatigue experienced may be more important to consider than the type of fatigue when characterizing fatigue phenotypes. Future research should explore whether tailoring interventions to environmental barriers, self-efficacy, and fatigue catastrophizing reduce the likelihood of transitioning to a more severe phenotype.
引用
收藏
页码:151 / 160
页数:10
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