{"title":"A First Examination of the Link Between Heart Rate Variability and Networks of Anxiety and Depression Symptoms","authors":"B. Verkuil, M. Wekenborg","doi":"10.1027/0269-8803/a000322","DOIUrl":null,"url":null,"abstract":"Abstract: The neurovisceral integration model proposes that people low in heart rate variability (HRV) are in a state with strong connections between symptoms of anxiety and depression. So far studies providing support for this hypothesis have relied on classifications or sum scores of a diverse range of symptoms, ignoring observations that anxiety and depression symptoms dynamically influence each other. Here we used network analyses to study if HRV moderates characteristics (density, structure, centrality indices) of network models of generalized anxiety disorder and depression symptoms. We used data ( N = 495) from the Dresden Burnout Study where resting levels of HRV were obtained as well as self-reported symptoms of generalized anxiety and depression. Results showed that HRV did not moderate the density and structure of the overall symptom networks. Exploration of the centrality indices suggested that restlessness was a more central node for people low in HRV, a result that remains to be confirmed in larger samples. These findings demonstrate how a network perspective may aid in better understanding the complex relation between symptoms of psychopathology and physiological status.","PeriodicalId":50075,"journal":{"name":"Journal of Psychophysiology","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Psychophysiology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/0269-8803/a000322","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract: The neurovisceral integration model proposes that people low in heart rate variability (HRV) are in a state with strong connections between symptoms of anxiety and depression. So far studies providing support for this hypothesis have relied on classifications or sum scores of a diverse range of symptoms, ignoring observations that anxiety and depression symptoms dynamically influence each other. Here we used network analyses to study if HRV moderates characteristics (density, structure, centrality indices) of network models of generalized anxiety disorder and depression symptoms. We used data ( N = 495) from the Dresden Burnout Study where resting levels of HRV were obtained as well as self-reported symptoms of generalized anxiety and depression. Results showed that HRV did not moderate the density and structure of the overall symptom networks. Exploration of the centrality indices suggested that restlessness was a more central node for people low in HRV, a result that remains to be confirmed in larger samples. These findings demonstrate how a network perspective may aid in better understanding the complex relation between symptoms of psychopathology and physiological status.
期刊介绍:
The Journal of Psychophysiology is an international periodical that presents original research in all fields employing psychophysiological measures on human subjects. Contributions are published from psychology, physiology, clinical psychology, psychiatry, neurosciences, and pharmacology. Communications on new psychophysiological methods are presented as well. Space is also allocated for letters to the editor and book reviews. Occasional special issues are devoted to important current issues in psychophysiology.