Results 41 to 50 of about 17,074 (256)

Autism and intolerance of uncertainty: an ill-fitting pair

open access: yesTrends in Cognitive Sciences, 2021
We applaud the efforts by Stark and colleagues [1.] to chart how a predictive processing account of autism may lead to autistic anxiety. We wholeheartedly agree that this is a productive route to shed light on a real problem in autism and that this kind of dialogue is much needed in a field that has been plagued by dogged misconceptions, with sometimes
Bervoets, Jo   +2 more
openaire   +3 more sources

What Can Network Analysis Tell Us About the Intolerance of Uncertainty?

open access: yesPrimenjena Psihologija
In this study, we explored the network structure of intolerance of uncertainty (IU) using a community sample. We tested the interplay of emotions, behaviors, and beliefs about uncertainty (as measured by the Serbian Intolerance of Uncertainty-11 Scale ...
Marija Volarov   +3 more
doaj   +1 more source

Positive Information of COVID-19 and Anxiety: A Moderated Mediation Model of Risk Perception and Intolerance of Uncertainty

open access: yesFrontiers in Psychiatry, 2021
Although COVID-19 information has been shown to play an important role in anxiety, little is known about the mediating and moderating mechanisms underlying this relationship.
Jun Zhao   +3 more
doaj   +1 more source

Cognitive Vulnerabilities to Anxiety: A Bridge between Personality and Symptoms

open access: yesPsychological Topics, 2019
The purpose of the study was to examine the effects of personality, anxiety sensitivity, intolerance of uncertainty and self-esteem on different anxiety symptoms.
Mirjana Sučević, Ana Kurtović
doaj   +2 more sources

The indirect effect of compassion on katagelasticism: the mediatiang role of moral disengagement and the moderating effect of intolerance of uncertainty

open access: yesBMC Psychology, 2023
The junction between moral psychology, humor, and some specific personality variables (i.e., uncertainty intolerance and compassion toward others) has been a neglected field of study.
Alexandra Maftei
doaj   +1 more source

Cracking the Code: Genotype–Phenotype Correlation Models in Sarcoglycanopathies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sarcoglycanopathies are among the most severe limb‐girdle muscular dystrophies (LGMD), though milder presentations have been described. These diseases are primarily caused by missense variants, but the limited predictability of their effect on protein maturation, complex formation, and transport has hindered reliable genotype ...
Leonela Luce   +72 more
wiley   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki   +6 more
wiley   +1 more source

It’s not what it Seems! The Mediating Role of Self-efficacy in the Relationship between Trait-anxiety and Intolerance of Uncertainty during COVID-19 Pandemic

open access: yesBulletin of the Transilvania University of Braşov: Series VII: Social Sciences, Law, 2021
The current research is aimed at studying the relationship between trait anxiety and intolerance of uncertainty, with its both facets: the inhibitory and the prospective anxiety and to establish whether or not the general ...
Lavinia Tanculescu-Popa
doaj   +1 more source

Latent class analysis of indicators of intolerance of uncertainty [PDF]

open access: yesScandinavian Journal of Psychology, 2018
Intolerance of Uncertainty (IU) is a transdiagnostic vulnerability factor involved in depression and anxiety symptoms and disorders. IU encompasses Prospective IU (“Unforeseen events upset me greatly”) and Inhibitory IU (“The smallest doubt can stop me from acting”). Research has yet to explore whether subgroups or classes of people exist characterized
Paul A. Boelen, Lonneke I.M. Lenferink
openaire   +4 more sources

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

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