The role of childhood traumas, interpersonal problems, and contrast avoidance model in development of the generalized anxiety disorder: A structural equation modeling.

2021 ◽  
Author(s):  
Masoumeh Shafiei ◽  
Fatemeh Rezaei ◽  
Masuod Sadeghi
Keyword(s):  
Structural Equation Modeling ◽  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
Structural Equation ◽  
Interpersonal Problems ◽  
Equation Modeling ◽  
Generalized Anxiety ◽  
Childhood Traumas

scholarly journals Investigating the Factors Affecting Depression By Using Structural Equation Modeling

2021 ◽  
Vol 28 (1) ◽  
pp. E202111
Author(s):  
Meryem Firat ◽  
Yalçın Kanbay ◽  
Burcu Demir Gökmen ◽  
Mehmet Utkan ◽  
Ayşe Okanli
Keyword(s):  
Structural Equation Modeling ◽  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Generalized Anxiety ◽  
Mean Square ◽  
Factors Affecting ◽  
Fit Index

The objective of the research was to study the factors affecting depression in general population. Materials and Methods. A total of 1,291 individuals at the age of 15-68 years participated in this cross-sectional study. The Demographic Information Form, the Beck Depression Inventory for Primary Care and the Generalized Anxiety Disorder Scale were used as data collection tools. The data obtained were evaluated in the SPSS 23 package program. Missing data were validated for extreme values, and, then, tested for normality and homogeneity. Testing for the research model was implemented by structural equation modeling using the AMOS program. Results. The following goodness-of-fit values were determined for the revised model predicting the factors influencing depression: χ2 = 535.62, χ2/df = 4.74, the normed fit index = 0.95, the Tucker-Lewis index = 0.95, the comparative fit index = 0.96, the goodness-of-fit index = 0.95, the adjusted goodness-of-fit index = 0.94, the root-mean-square error of approximation = 0.05, the root mean square residual = 0.12, which were within acceptable limits. According to our model, the generalized anxiety disorder-7 (t = 15.923; p < 0.001), gender (t = -5.866; p < 0.001), age (t = -8.193; p < 0.001) and marital status (t = -6.107; p < 0.001) had a significant effect on depression. However, there was no significant relationship between depression score and educational status, place of residence, family type, and smoking. Conclusions. In this model of our study, generalized anxiety disorder was found to have the greatest effect on depression, followed by age, marital status, and gender, respectively.

scholarly journals Worry and metacognitions as predictors of the development of anxiety and paranoia

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiaoqi Sun ◽  
Suzanne H. So ◽  
Raymond C. K. Chan ◽  
Chui-De Chiu ◽  
Patrick W. L. Leung
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Clinical Implications ◽  
Generalized Anxiety ◽  
Time Period ◽  
One Year ◽  
Development Of Anxiety ◽  
Over Time

Abstract Recent studies have shown that worry and related negative metacognitions are characteristic in generalized anxiety and paranoia respectively. However, most of these studies did not take into account common co-occurrence of anxiety and paranoia, and longitudinal modelling of the role of worry and metacognitions on the development of anxiety and paranoia is rare. The current study aimed at examining the bidirectional longitudinal relationship between anxiety and paranoia, as well as the importance of worry and metacognitions in the development of these symptoms. Our validated sample consisted of 2291 participants recruited from universities, among whom 1746 participants (76.21%) completed online questionnaires at baseline and at one year, reporting levels of anxiety, paranoia, worry, and negative metacognitions. Structural equation modeling analyses, followed by path comparisons, revealed that anxiety and paranoia mutually reinforced each other over time. Negative metacognitions, rather than worry itself, were contributive to the development of both symptoms over time. Negative metacognitions showed bi-directional relationships with anxiety over the time period assessed and showed uni-directional relationships with paranoia. Clinical implications of our findings are discussed.

Markers for context-responsiveness: Client baseline interpersonal problems moderate the efficacy of two psychotherapies for generalized anxiety disorder.

2017 ◽  
Vol 85 (10) ◽  
pp. 1000-1011 ◽  
Author(s):  
Juan Martin Gomez Penedo ◽  
Michael J. Constantino ◽  
Alice E. Coyne ◽  
Henny A. Westra ◽  
Martin M. Antony
Keyword(s):  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
Interpersonal Problems ◽  
Generalized Anxiety

Impulsivity and Aggression: A Meta-analysis Using the UPPS Model of Impulsivity

2019 ◽  
Author(s):  
Konrad Bresin
Keyword(s):  
Structural Equation Modeling ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Meta Analysis ◽  
The Other ◽  
Equation Modeling ◽  
Negative Urgency ◽  
Two Stage ◽  
Trait Impulsivity

Trait impulsivity has long been proposed to play a role in aggression, but the results across studies have been mixed. One possible explanation for the mixed results is that impulsivity is a multifaceted construct and some, but not all, facets are related to aggression. The goal of the current meta-analysis was to determine the relation between the different facets of impulsivity (i.e., negative urgency, positive urgency, lack of premeditation, lack of perseverance, and sensation seeking) and aggression. The results from 93 papers with 105 unique samples (N = 36, 215) showed significant and small-to-medium correlations between each facet of impulsivity and aggression across several different forms of aggression, with more impulsivity being associated with more aggression. Moreover, negative urgency (r = .24, 95% [.18, .29]), positive urgency (r = .34, 95% [.19, .44]), and lack of premeditation (r = .23, 95% [.20, .26]) had significantly stronger associations with aggression than the other scales (rs &lt; .18). Two-stage meta-analytic structural equation modeling showed that these effects were not due to overlap among facets of impulsivity. These results help advance the field of aggression research by clarifying the role of impulsivity and may be of interest to researchers and practitioners in several disciplines.

scholarly journals Sex-dependent role of CD300f immune receptor in generalized anxiety disorder

2021 ◽  
Vol 11 ◽  
pp. 100191
Author(s):  
Fernanda N. Kaufmann ◽  
Natalia Lago ◽  
Daniela Alí-Ruiz ◽  
Karen Jansen ◽  
Luciano D.M. Souza ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
Generalized Anxiety ◽  
Immune Receptor

How can organizations foster job crafting behaviors and thriving at work?

2020 ◽  
pp. 1-18
Author(s):  
Sari Mansour ◽  
Diane-Gabrielle Tremblay
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Job Demands ◽  
Social Resources ◽  
Job Crafting ◽  
Equation Modeling ◽  
Bootstrap Analysis ◽  
Mediating Role ◽  
Thriving At Work

Abstract This study investigates whether the perceived opportunity to craft (POC) is related to job crafting (JC) strategies and whether these strategies are related to thriving at work, in terms of both vitality and learning. It aims to verify the mediating role of JC between POC and thriving. Data were collected from 424 accounting professionals in Canada. The structural equation modeling based on bootstrap analysis was used to test mediation. The results indicate that POC is positively related to increasing structural and social resources and challenging job demands and negatively to decreasing hindering job demands. They reveal that increasing structural and social resources enhances learning and mediates the relation between POC and vitality and learning, as do challenging job demands, whereas decreasing hindering job demands does not. This study is one of the first to confirm that POC influences vitality and learning via JC behaviors as mediators.

scholarly journals EIMECA: A Proposal for a Model of Environmental Collective Action

2021 ◽  
Vol 13 (11) ◽  
pp. 5935
Author(s):  
Beatriz Carmona-Moya ◽  
Antonia Calvo-Salguero ◽  
María-del-Carmen Aguilar-Luzón
Keyword(s):  
Structural Equation Modeling ◽  
Collective Action ◽  
Research Agenda ◽  
Structural Equation ◽  
Equation Modeling ◽  
Environmental Identity ◽  
Group Efficacy ◽  
Action Model ◽  
Identity Model

The deterioration and destruction of the environment is becoming more and more considerable and greater efforts are needed to stop it. To accomplish this feat, all members of society must identify with solving environmental problems, environmental collective action being one of the most relevant means of doing so. From this perspective, the analysis of the psychosocial factors that lead to participation in environmental collective action emerges as a priority objective in the research agenda. Thus, the aim of this study is to examine the role of “environmental identity”, as conceptualized by Clayton, as a central axis for explaining environmental collective action. The inclusion of the latter in the theoretical framework of the SIMCA (social identity model of collective action) model gives rise to the model that we have called EIMECA (environmental identity model of environmental collective action). Two studies were conducted (344 and 720 participants, respectively), and structural equation modeling was used. The results reveal that environmental identity and a variety of negative emotional affects, as well as group efficacy, accompanied by hope for a simultaneous additive effect, are critical when it comes to predicting environmental collective action.

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