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Title: Using multilevel path analysis in analyzing 24-h ambulatory physiological recordings applied to medically unexplained symptoms
Author(s): J.H. Houtveen, E.L. Hamaker and L.J. Van Doornen
Journal: Psychophysiology
Year: 2010
Volume: 47
Issue: 3
Pages: 570--578
Publisher address: Department of Clinical and Health Psychology, Faculty of Social Sciences, Utrecht University, 3508 TC Utrecht, The Netherlands. j.h.houtveen@uu.nl
File URL: vuams-pubs/Houtveen_2010.pdf
Keywords: Adult, Affect, Algorithms, Autonomic Nervous System, Cardiography,Impedance, Circadian Rhythm, Data Interpretation,Statistical, Disease, Electroencephalography, Female, Heart Rate, Humans, Male, Monitoring,Ambulatory, Motor Activity, physiology, physiopathology, Pressure, psychology, Respiration, Respiratory Physiological Phenomena, statistics & numerical data, Stress,Psychological
Abstract: A non-clinical group high on heterogeneous medically unexplained symptoms (MUS; n=97) was compared with healthy controls (n=66) on the within-subject relationships between physiological measures using multilevel path analysis. Momentary experienced somatic complaints, mood (tension and depression), cardiac autonomic activity (inter-beat intervals, pre-ejection period (PEP), and respiratory sinus arrhythmia (RSA)) and respiration (rate and partial pressure of CO(2) at the end of a normal expiration) were monitored for 24 h using electronic diary and ambulatory devices. Relationships between measures were controlled for diurnal variation and individual means. Only subtle group differences were found in the diurnal rhythm and in the within-subject relationships between physiological measures. For participants high on MUS, within-subject changes in bodily symptoms were related to changes in mood, but only marginally to the physiological measures. Results of the current path analysis confirm the subordinate role of cardiac autonomic and respiratory parameters in MUS

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