Exploring Biopsychosocial Stress Markers in Women With Fibromyalgia

被引:0
作者
Boyer, Ana LLedo [1 ]
Lopez-Roig, Sofia [1 ]
Pastor-Mira, Maria-Angeles [1 ]
Cantero, Ma Carmen Terol [1 ]
Martin-Aragon, Maite [1 ]
机构
[1] Miguel Hernandez Univ, Dept Behav Sci & Hlth, Alicante, Spain
关键词
HEART-RATE-VARIABILITY; CHRONIC PAIN; HOSPITAL ANXIETY; CRITERIA; CLASSIFICATION; METAANALYSIS; SENSITIVITY; VALIDATION; PREDICTORS; DIAGNOSIS;
D O I
10.1016/j.pmn.2024.05.008
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Background: Identification of fibromyalgia has been a challenge for healthcare professionals due to the lack of a clinical biomarker. A well-supported integrative hypothesis holds that this condition is a chronic pain problem partly caused by long-term dysregulation of stress response. Therefore, stress assessment from a biopsychosocial perspective may be a useful approach to recognizing fibromyalgia. Purpose: A cross-sectional case-control study was conducted to explore stress markers from a multidimensional perspective, including heart rate variability (as a biomarker of stress) as well as psychological distress and social stress. Methods: Forty-seven women with fibromyalgia were recruited from support groups and another 47 were recruited as matched pain-free controls. Comparison and discriminant function analyses were performed. Results: The data support the goodness of biopsychosocial stress markers in women with fibromyalgia, resulting in the identification of between 70% and 74.5% of fibromyalgia cases (sensitivity) and 85%-87% pain-free controls (specificity), with medium-high levels of fit (lambda = 0.58 and lambda = 0.59; p < .00). Women with fibromyalgia were characterized by high levels of psychological distress, social stress (disorder levels), and autonomic dysregulation. Although distress and social stress had a greater weight in discriminant functions, dysregulation in terms of low parasympathetic activity and high sympathetic activity at rest was also relevant. Conclusions: A biopsychosocial approach to stress with an objective biomarker such as heart rate variability may be a useful tool to identify and manage FM.
引用
收藏
页码:e336 / e345
页数:10
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