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A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables.

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Title: A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables.
Authors: Bommer, Jana (AUTHOR), Schwartz, Brian (AUTHOR), Klein, Christine (AUTHOR), Rupp, Jan (AUTHOR), Katalinic, Alexander (AUTHOR), Assmann, Nele (AUTHOR), Borsche, Max (AUTHOR), Balck, Alexander (AUTHOR), Föh, Bandik (AUTHOR), Lutz, Wolfgang (AUTHOR), Klein, Jan P. (AUTHOR)
Source: Cognitive Therapy & Research. Apr2025, Vol. 49 Issue 2, p225-238. 14p.
Subjects: Sleep quality, Pathological psychology, Public health, Medical sciences, Fatigue (Physiology)
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Cognitive Therapy & Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Cognitive Therapy & Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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