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Comparing Complex Network and Latent Factor Models of Seasonal Affective Disorder
Title
Comparing Complex Network and Latent Factor Models of Seasonal Affective Disorder
Creator
Smetter, Joseph
Date
2019
Description
Research on Seasonal Affective Disorder (SAD) has produced several etiologicalmodels of SAD symptomatology, including a common cause model...
Show moreResearch on Seasonal Affective Disorder (SAD) has produced several etiologicalmodels of SAD symptomatology, including a common cause model that conceptualizessymptoms as the result of a single underlying disease process, and the Dual VulnerabilityModel (Young et al., 1991) which posits that psychological symptoms of depressionfollow the onset of vegetative symptoms (e.g. hypersomnia, increased appetite) inindividuals with a vulnerability to seasonal changes. Studies of the structure of SADsymptomatology have been limited in their ability to evaluate these models. This studyused exploratory factor analysis and network analysis to examine baseline winter SADsymptoms (using a modified BDI-II) in 177 adults participating in a randomizedcontrolled trial of light treatment and CBT for SAD (Rohan et al., 2015). The factoranalysis supported a four-factor model that included negative cognition/affect, loss ofvitality, dysregulation, and increases in weight/appetite. The complex network model ofSAD conceptualized the network as a system of interacting symptoms. Results of thenetwork model paralleled those of the factor analysis in producing four communities ofinter-correlated symptoms. In addition to the full symptom network, a directed acyclicgraph was constructed to model causal relations between symptoms. Results suggest thatvegetative symptoms (loss of vitality and appetite/weight) lead ultimately to cognitivesymptoms, with intermediate effects of dysregulation symptoms. This partially supportsthe Dual Vulnerability model. Findings from the factor analysis and the network analysisare compared, and their implications for and treatment of SAD is discussed.
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Sex Differences in a Network Model of Depressive Symptoms
Title
Sex Differences in a Network Model of Depressive Symptoms
Creator
Ginger, Emily J
Date
2021
Description
Major Depressive Disorder (MDD) is one of the most prevalent mental health disorders, with a lifetime prevalence rate of 13-16% and 12-month...
Show moreMajor Depressive Disorder (MDD) is one of the most prevalent mental health disorders, with a lifetime prevalence rate of 13-16% and 12-month prevalence rates of 5-7%. It has long been established that the rates of MDD in females is two to three times that of males. Previous research has examined sex differences in the occurrence and severity of MDD symptoms, primarily indicating greater severity of appetite increase and weight gain in females compared to males. The majority of previous research has been conducted assuming the latent factor model that MDD accounts for the symptoms of depression, and sex operates as a mediator or moderator between the latent variable and MDD, or between MDD and its symptoms. The present study used network analysis to examine whether there are sex differences in the relations between symptoms of depression, which might be an important factor for understanding sex differences in prevalence rates of MDD. The present study compared networks of DSM MDD symptoms between currently depressed females and males, and separate networks that also included other symptoms commonly associated with depression (e.g., anxiety, anger). Sex differences were examined using jointly estimated networks, and a Network Comparison Test (NCT) for the independently estimated networks. Results indicated no sex differences in depression symptom networks. These results indicate that depressive symptom networks, or the relations between symptoms are not an important factor for understanding the disparity in sex differences in MDD prevalence rates. Interestingly, non-DSM symptoms were among the strongest and most important symptoms within the network, suggesting future research and diagnostic criteria should consider inclusion of non-DSM symptoms associated with MDD.
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A Network Analysis of the Six Core Processes Associated with Acceptance and Commitment Therapy
Title
A Network Analysis of the Six Core Processes Associated with Acceptance and Commitment Therapy
Creator
Bailey, Jennifer Rose
Date
2022
Description
According to the theoretical model of Acceptance and Commitment Therapy, six core processes comprise a latent factor of psychological...
Show moreAccording to the theoretical model of Acceptance and Commitment Therapy, six core processes comprise a latent factor of psychological flexibility: present moment, chosen values, committed action, self as context, cognitive defusion, and acceptance. Little research has directly examined the unique relations among the processes. The present study extended our knowledge of the structure and relations between these processes by examining the relative importance and influence of a single process to the system of processes as a whole utilizing network analysis with a sample of 277 adult, non-clinical participants. Committed action was the most central of all the processes, demonstrating the highest strength centrality and most number of edges. Cognitive defusion and present moment also showed high strength centrality, suggesting that these processes exert the greatest influence on other processes in the network based on partial correlations controlling for all other constructs. Results provided support for the conceptualization of the three response styles (i.e., open, centered, and engaged). The addition of neuroticism to the core processes network showed little effect on the number of edges present between the six core processes. Neuroticism was strongly related to cognitive defusion and more weakly related to committed action. Results not only increased our understanding of the relations between processes and provided knowledge that may be useful to our understanding of the ACT theoretical model, but it also may have potential clinical implications, such as aiding in the identification of treatment targets to enhance psychological flexibility.
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Toward a Network Model of Executive Functioning
Title
Toward a Network Model of Executive Functioning
Creator
Fuller, Jordan S.
Date
2023
Description
The executive functions are the higher-order mental processes that are responsible for organized, strategic behavior. These functions have...
Show moreThe executive functions are the higher-order mental processes that are responsible for organized, strategic behavior. These functions have been a source of significant controversy since their initial introduction. This study sought to create a model of the executive functions utilizing psychological network analysis. Participants completed six measures reflecting inhibition, task switching, and working memory updating, as well as a fluid intelligence measure. A processing speed index was calculated from non-executive trials of various measures. Four networks were generated, including an executive functions network, an executive functions and intelligence network, an executive functions and processing speed network, and a network with all variables included. The resulting networks contained no stable edges between the executive functioning tasks. Stable edges were identified between the intelligence node and the two nodes reflecting working memory updating. There was an additional edge identified between processing speed and one measure of task switching. Results of the study may indicate that there is relative independence among executive functions. However, the management of task impurity in a psychological network analysis also merits further investigation.
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