Jana Bommer, Brian Schwartz, Christine Klein, Jan Rupp, Alexander Katalinic, Nele Assmann, Max Borsche, Alexander Balck, Bandik Föh, Wolfgang Lutz, Jan P. Klein
{"title":"恶性循环?心理健康变量个体内部动态的群体层面分析","authors":"Jana Bommer, Brian Schwartz, Christine Klein, Jan Rupp, Alexander Katalinic, Nele Assmann, Max Borsche, Alexander Balck, Bandik Föh, Wolfgang Lutz, Jan P. Klein","doi":"10.1007/s10608-024-10517-6","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>The network theory of mental disorders asserts the pivotal role of feedback loops in psychopathology. We investigated intra-individual dynamics and potential feedback loops in psychological networks and their association with long-term outcomes.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>At the beginning of the COVID-19 pandemic, data from a population-based cohort (<i>N</i> = 2029) were collected every three days for six months on well-being, worries, fatigue, sleep quality, social integration, and activity. Subgrouping—Group Iterative Multiple Model Estimation -was used to estimate networks of time-series data on the individual, subgroup, and group levels. Subgroup networks were compared and associations of subgroup membership with sociodemographic and health status variables at baseline and outcomes at follow-up were examined.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Despite the large heterogeneity between individuals, a potential feedback loop involving sleep quality, fatigue and well-being was identified. Furthermore, two subgroups were identified, whereby the edges of the potential feedback loop were more present in Subgroup 1 than in Subgroup 2. Membership to Subgroup 1 was associated with lower education and fewer people aged over 60 in their household at baseline as well as poorer well-being, more worries, and more frequent and earlier COVID-19 diagnoses at follow-up.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>The identified feedback loop might indeed represent a vicious cycle and thus contribute to the development of psychopathology. However, limitations such as the limited measurement density made it difficult to find temporal associations and call for a cautious interpretation of results.</p>","PeriodicalId":48316,"journal":{"name":"Cognitive Therapy and Research","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables\",\"authors\":\"Jana Bommer, Brian Schwartz, Christine Klein, Jan Rupp, Alexander Katalinic, Nele Assmann, Max Borsche, Alexander Balck, Bandik Föh, Wolfgang Lutz, Jan P. Klein\",\"doi\":\"10.1007/s10608-024-10517-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Background</h3><p>The network theory of mental disorders asserts the pivotal role of feedback loops in psychopathology. We investigated intra-individual dynamics and potential feedback loops in psychological networks and their association with long-term outcomes.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>At the beginning of the COVID-19 pandemic, data from a population-based cohort (<i>N</i> = 2029) were collected every three days for six months on well-being, worries, fatigue, sleep quality, social integration, and activity. Subgrouping—Group Iterative Multiple Model Estimation -was used to estimate networks of time-series data on the individual, subgroup, and group levels. Subgroup networks were compared and associations of subgroup membership with sociodemographic and health status variables at baseline and outcomes at follow-up were examined.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>Despite the large heterogeneity between individuals, a potential feedback loop involving sleep quality, fatigue and well-being was identified. Furthermore, two subgroups were identified, whereby the edges of the potential feedback loop were more present in Subgroup 1 than in Subgroup 2. Membership to Subgroup 1 was associated with lower education and fewer people aged over 60 in their household at baseline as well as poorer well-being, more worries, and more frequent and earlier COVID-19 diagnoses at follow-up.</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusions</h3><p>The identified feedback loop might indeed represent a vicious cycle and thus contribute to the development of psychopathology. However, limitations such as the limited measurement density made it difficult to find temporal associations and call for a cautious interpretation of results.</p>\",\"PeriodicalId\":48316,\"journal\":{\"name\":\"Cognitive Therapy and Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Therapy and Research\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1007/s10608-024-10517-6\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Therapy and Research","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10608-024-10517-6","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables
Background
The network theory of mental disorders asserts the pivotal role of feedback loops in psychopathology. We investigated intra-individual dynamics and potential feedback loops in psychological networks and their association with long-term outcomes.
Methods
At the beginning of the COVID-19 pandemic, data from a population-based cohort (N = 2029) were collected every three days for six months on well-being, worries, fatigue, sleep quality, social integration, and activity. Subgrouping—Group Iterative Multiple Model Estimation -was used to estimate networks of time-series data on the individual, subgroup, and group levels. Subgroup networks were compared and associations of subgroup membership with sociodemographic and health status variables at baseline and outcomes at follow-up were examined.
Results
Despite the large heterogeneity between individuals, a potential feedback loop involving sleep quality, fatigue and well-being was identified. Furthermore, two subgroups were identified, whereby the edges of the potential feedback loop were more present in Subgroup 1 than in Subgroup 2. Membership to Subgroup 1 was associated with lower education and fewer people aged over 60 in their household at baseline as well as poorer well-being, more worries, and more frequent and earlier COVID-19 diagnoses at follow-up.
Conclusions
The identified feedback loop might indeed represent a vicious cycle and thus contribute to the development of psychopathology. However, limitations such as the limited measurement density made it difficult to find temporal associations and call for a cautious interpretation of results.
期刊介绍:
Cognitive Therapy and Research (COTR) focuses on the investigation of cognitive processes in human adaptation and adjustment and cognitive behavioral therapy (CBT). It is an interdisciplinary journal welcoming submissions from diverse areas of psychology, including cognitive, clinical, developmental, experimental, personality, social, learning, affective neuroscience, emotion research, therapy mechanism, and pharmacotherapy.