Luis Espejo-Antúnez , Carlos Fernández-Morales , Manuel Albornoz-Cabello , María de los Ángeles Cardero-Durán
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引用次数: 0
Abstract
Background/Objectives
Chronic neck pain (CNP) and chronic low back pain (CLBP) are prevalent musculoskeletal disorders linked to autonomic nervous system dysfunction, assessed through heart rate variability (HRV). This study aimed to compare HRV indices among subjects with CNP, CLBP, and healthy controls, examining whether pain location influences autonomic modulation.
Methods
An observational study was conducted involving 93 adults (31 per group: CNP, CLBP, and controls). HRV was measured using a Firstbeat Bodyguard® device, analyzing parameters including mean HR, minimum and maximum HR, rMSSD, SD1, SD2, stress score (SS), and sympathetic/parasympathetic ratio (S:PS). HRV data were analyzed following standard guidelines. Additional analyses included multinomial logistic regression and ROC curves to explore the predictive value of rMSSD.
Results
Both pain groups showed significantly higher sympathetic dominance (higher SS and S:PS ratio) compared to controls (p < 0.001, d = 1.0–1.3). Subjects with CNP exhibited significantly lower parasympathetic indices (rMSSD and SD1) compared to the CLBP group (both p < 0.01, d = 0.8) and healthy controls (p < 0.001, d = 2.2 and d = 2.3). No differences were observed in sympathetic dominance between CNP and CLBP groups. Logistic regression confirmed the predictive value of rMSSD for group classification, and ROC analyses showed high discriminatory capacity, particularly between CNP and healthy subjects (AUC = 0.932).
Conclusions
Significant differences in autonomic modulation were observed between patients with CNP, CLBP, and healthy subjects. CNP was associated with a greater reduction in parasympathetic activity, possibly due to mechanisms related to the anatomical proximity of the vagus nerve to the cervical region.
期刊介绍:
Behavioural Brain Research is an international, interdisciplinary journal dedicated to the publication of articles in the field of behavioural neuroscience, broadly defined. Contributions from the entire range of disciplines that comprise the neurosciences, behavioural sciences or cognitive sciences are appropriate, as long as the goal is to delineate the neural mechanisms underlying behaviour. Thus, studies may range from neurophysiological, neuroanatomical, neurochemical or neuropharmacological analysis of brain-behaviour relations, including the use of molecular genetic or behavioural genetic approaches, to studies that involve the use of brain imaging techniques, to neuroethological studies. Reports of original research, of major methodological advances, or of novel conceptual approaches are all encouraged. The journal will also consider critical reviews on selected topics.