Specificity of Childhood Learning Experiences in Relation to Anxiety Sensitivity and Illness/Injury Sensitivity: Implications for Health Anxiety and Pain

2008 ◽  
Vol 22 (2) ◽  
pp. 128-142 ◽  
Author(s):  
Margo C. Watt ◽  
Roisin M. O’Connor ◽  
Sherry H. Stewart ◽  
Erin C. Moon ◽  
Lesley Terry
Keyword(s):  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Health Anxiety ◽  
Learning Experiences ◽  
Equation Modeling ◽  
Learning History ◽  
Relative Specificity ◽  
Bodily Sensations ◽  
Fear Of Bodily Sensations ◽  
Specificity Of Learning

Health anxiety refers to the preoccupation with and fear of bodily sensations arising from catastrophic misinterpretations about the significance of these sensations (Hadjistavropoulos, Asmundson, & Kowalyk, 2004). Constructs theoretically relevant to the development of both health anxiety and chronic pain are two of the putative “fundamental fears” identified by Reiss (1991)—anxiety sensitivity (AS) and illness/injury sensitivity (IS) (Cox, Borger, & Enns, 1999; Vancleef, Peters, Roelofs, & Asmundson, 2006). The learning history origins of AS have been examined in a series of studies (Stewart et al., 2001; Watt & Stewart, 2000; Watt, Stewart, & Cox, 1998); however, no studies have examined the learning history antecedents of IS. The present retrospective study compared the relative specificity of learning experiences related to the development of AS and IS in a sample of 192 undergraduates (143 women and 49 men). Structural equation modeling supported nonspecific paths from both anxiety-related and aches/pains-related childhood learning experiences to AS and a more specific path from aches/pain-related childhood learning experiences to IS. Results suggest that the developmental antecedents of IS are more specific to learning experiences around aches and pains, whereas the developmental origins of AS are more broadly related to learning experiences around bodily sensations.

Users’ response toward online doctor consultation platforms: SOR approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandeep Goyal ◽  
Sumedha Chauhan ◽  
Parul Gupta
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Health Anxiety ◽  
Perceived Value ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Usage ◽  
Content Type ◽  
Behavioral Attributes

PurposeThis study aims to investigate the external and internal stimuli, which affect the organismic experiences of the users and thereby influence their response in terms of behavioral intention toward the use of online doctor consultation platforms.Design/methodology/approachThe study operationalized the stimulus–organism–response framework for the research model and surveyed 357 users in India who had experienced online doctor consultation platforms. The analysis has been done using the structural equation modeling approach.FindingsThe authors’ main results indicate the following key points. One, perceived usefulness, social influence, health anxiety, offline consultation habit and perceived technology usage risk are significant predictors of perceived value. In contrast, perceived ubiquity is identified to be an insignificant predictor of perceived value. Second, social influence and perceived technology usage risk have significant influence on trust. However, perceived usefulness is not a significant predictor of trust.Research limitations/implicationsThis study contributes to the theory by integrating technology-oriented factors with behavioral attributes for determining the behavioral intention of users toward the online doctor consultation platforms.Practical implicationsThe managerial contributions of this study involve highlighting those technology-oriented and behavioral elements, which can be targeted to attract more users toward these platforms.Originality/valueThis is an original study that has looked beyond the role of technology-oriented factors in influencing the perceived value and trust elements while investigating the behavioral intention among the users toward the online doctor consultation platforms.

scholarly journals A Correlational Analysis of the Relationships among Intolerance of Uncertainty, Anxiety Sensitivity, Subjective Sleep Quality, and Insomnia Symptoms

2019 ◽  
Vol 16 (18) ◽  
pp. 3253 ◽  
Author(s):  
Marco Lauriola ◽  
R. Nicholas Carleton ◽  
Daniela Tempesta ◽  
Pierpaolo Calanna ◽  
Valentina Socci ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Sleep Quality ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Sleep Problems ◽  
Intolerance Of Uncertainty ◽  
Equation Modeling ◽  
Sensitivity Index ◽  
Depression And Anxiety ◽  
Insomnia Severity

In this study, we used structural equation modeling to investigate the interplay among Intolerance of Uncertainty (IU), Anxiety Sensitivity (AS), and sleep problems. Three hundred undergraduate students completed the Intolerance of Uncertainty Scale, the Intolerance of Uncertainty Inventory, the Anxiety Sensitivity Index, the Beck Depression Inventory, the State-Trait Anxiety Inventory, the Pittsburgh Sleep Quality Index and the Insomnia Severity Index. 68% and 40% of the students reported poor sleep quality or sub-threshold insomnia problems, respectively. Depression and anxiety levels were above the cut-off for about one-fourth of the participants. Structural equation modeling revealed that IU was strongly associated with AS, in turn influencing both insomnia severity and sleep quality via depression and anxiety. Significant indirect effects revealed that an anxious pathway was more strongly associated with insomnia severity, while a depression pathway was more relevant for worsening the quality of sleep. We discussed the results in the frameworks of cognitive models of insomnia. Viewing AS and IU as antecedents of sleep problems and assigning to AS a pivotal role, our study suggested indications for clinical interventions on a population at risk for sleep disorders.

scholarly journals Fear of Covid-19, Coronavirus Anxiety Predict Cyberchondria: Intolerance Uncertainty and Anxiety Sensitivity as Mediators (Preprint)

2020 ◽  
Author(s):  
Fengjiao Zhang ◽  
Lina Wu ◽  
Yexiang Yao ◽  
Nabi Nazari
Keyword(s):  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Multiple Mediation ◽  
Convenience Sample ◽  
Specific Amplification ◽  
Fear And Anxiety ◽  
The Relationship

BACKGROUND The outbreak of Coronavirus Disease 19 (COVID-19) is a global emergency more than a medical challenge. Primarily studies highlight fear and anxiety generated by COVID-19 as the unique psychological factors affect all population. There is currently still a lack of research on specific amplification factors regarding anxiety and fear in the context of the COVID-19 pandemic. Despite established associations between anxiety sensitivity, intolerance uncertainty, and Cyberchondria, there is currently lack of empirical data has investigated the links between anxiety sensitivity, intolerance uncertainty, and Cyberchondria, particularly in the context of the COVID-19 pandemic. OBJECTIVE the present study was conducted to investigate the links between fear of COVID-19, Coronavirus Anxiety, and Cyberchondria. METHODS A convenience sample of 694 respondents (males: 343; females: 351) completed an online survey that included Cyberchondria Severity Scale, Fear of COVID-19 scale, Coronavirus Anxiety Scale, Anxiety Sensitively Scale, and Intolerance Uncertainty Scale. Multiple mediation and moderation analysis were conducted using Structural equation modeling. RESULTS The results revealed that fear and anxiety generated by COVID-19 predict Cyberchondria. Intolerance uncertainty and anxiety sensitivity mediate the relationship between fear and anxiety generated by COVID-19 with Cyberchondria. CONCLUSIONS The Finding provide further supports to better understand the role of COVID-19 to amplify Cyberchondria.Also, . Cyberchondria may be taught as a public health concerns which can amplify the pandemic consequences.

scholarly journals The relationship between anxiety sensitivity and latent symptoms of emotional problems: A structural equation modeling approach

2010 ◽  
Vol 48 (8) ◽  
pp. 761-769 ◽  
Author(s):  
Alison R. Lewis ◽  
Richard E. Zinbarg ◽  
Susan Mineka ◽  
Michelle G. Craske ◽  
Alyssa Epstein ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Emotional Problems ◽  
Equation Modeling ◽  
Modeling Approach ◽  
The Relationship

Examining the Specific Facets of Distress Tolerance That Are Relevant to Health Anxiety

2015 ◽  
Vol 29 (1) ◽  
pp. 32-44 ◽  
Author(s):  
Thomas A. Fergus ◽  
Joseph R. Bardeen ◽  
Holly K. Orcutt
Keyword(s):  
Structural Equation ◽  
Distress Tolerance ◽  
Negative Emotion ◽  
Community Sample ◽  
Health Anxiety ◽  
Intolerance Of Uncertainty ◽  
Equation Modeling ◽  
Therapeutic Implications ◽  
Physical Discomfort ◽  
Unique Association

Researchers have called for examinations of associations between distinct facets of distress tolerance and specific forms of psychopathology. We examined associations between five facets of distress tolerance (intolerance of uncertainty, ambiguity, frustration, negative emotion, and physical discomfort) and health anxiety using a large community sample of adults. Structural equation modeling was used to examine associations. Intolerance of uncertainty, negative emotion, and physical discomfort were the only facets of distress tolerance that shared unique associations with health anxiety after accounting for the overlap among the facets of distress tolerance. Intolerance of physical discomfort shared an especially strong unique association with health anxiety. These results highlight facets of distress tolerance that are particularly relevant to health anxiety. Conceptual and therapeutic implications are discussed.

The net suppression effect of pain catastrophic cognition on anxiety sensitivity

2016 ◽  
Vol 33 (S1) ◽  
pp. S89-S90
Author(s):  
W. Wong ◽  
J. Lam ◽  
H. Lim ◽  
S. Wong ◽  
P. Chen ◽  
...  
Keyword(s):  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Pain Catastrophizing ◽  
Chinese Patients ◽  
Equation Modeling ◽  
Suppression Effect ◽  
Competing Interest ◽  
Dispositional Factors ◽  
Suppression Effects ◽  
Adjustment Outcomes

IntroductionThe existing literature on chronic pain points to the effects anxiety sensitivity, pain hypervigilance, and pain catastrophizing on pain-related fear; however, the nature of the relationships remains unclear. The three dispositional factors may affect one another in the prediction of pain adjustment outcomes. The addition of one disposition may increase the association between another disposition and outcomes, a consequence known as suppressor effects in statistical terms.ObjectiveThis study examined the possible statistical suppressor effects of anxiety sensitivity, pain hypervigilance and pain catastrophizing in predicting pain-related fear and adjustment outcomes (disability and depression).MethodsChinese patients with chronic musculoskeletal pain (n = 401) completed a battery of assessments on pain intensity, depression, anxiety sensitivity, pain vigilance, pain catastrophizing, and pain-related fear. Multiple regression analyses assessed the mediating/moderating role of pain hypervigilance. Structural equation modeling (SEM) was used to evaluate suppression effects.ResultsOur results evidenced pain hypervigilance mediated the effects of anxiety sensitivity (Model 1: Sobel z = 4.86) and pain catastrophizing (Model 3: Sobel z = 5.08) on pain-related fear. Net suppression effect of pain catastrophizing on anxiety sensitivity was found in SEM where both anxiety sensitivity and pain catastrophizing were included in the same full model to predict disability (Model 9: CFI = 0.95) and depression (Model 10: CFI = 0.93) (all P < 0.001) (see Figs. 3 and 4, Figs. 1 and 2).ConclusionsOur findings evidenced that pain hypervigilance mediated the relationship of two dispositional factors, pain catastrophic cognition and anxiety sensitivity, with pain-related fear. The net suppression effects of pain catastrophizing suggest that anxiety sensitivity enhanced the effect of pain catastrophic cognition on pain hypervigilance.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals A multi-factor model of panic disorder: Results of a preliminary study integrating the role of perfectionism, stress, physiological anxiety and anxiety sensitivity

2015 ◽  
Vol 31 (2) ◽  
pp. 481 ◽  
Author(s):  
Cristina Mae Wood ◽  
Antonio Cano-Vindel ◽  
José Martín Salguero
Keyword(s):  
Panic Disorder ◽  
Perceived Stress ◽  
Anxiety Sensitivity ◽  
Structural Equation ◽  
Factor Model ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Cross Sectional ◽  
The Impact

<p><strong>Background:</strong> Panic disorder (PD) is a highly prevalent and disabling mental health problem associated with different factors including perfectionism, stress, physiological anxiety, and anxiety sensitivity regarding physical concerns; however, no studies have analyzed the joint relationship between these factors and PD in a multi-factor model using structural equation modeling.  <strong>Method: </strong>A cross-sectional study was carried out to collect data on these factors and self-reported DSM-IV past-year PD symptoms in a large sample of the general population (<em>N</em>=936).  <strong>Results:</strong> Perceived stress had a significant effect in increasing physiological anxiety, which in turn had an important association with physical concerns.  Perfectionism and perceived stress had an indirect relation with past year PD via the mediator role of physiological anxiety and physical concerns.  Physical concerns, on one hand, seemed to mediate the impact between perfectionism and PD and, on the other, partially mediated the role between physiological anxiety and PD.  <strong>Conclusions: </strong>Although there is considerable evidence on the association between each of these factors and PD, this model can be considered a broader and productive framework of research on the nature and treatment of PD.<strong></strong></p>

Explaining Gender Differences in Interests

2017 ◽  
Vol 26 (2) ◽  
pp. 240-257 ◽  
Author(s):  
Wyndolyn M. A. Ludwikowski ◽  
Patrick I. Armstrong ◽  
Daniel G. Lannin
Keyword(s):  
Gender Differences ◽  
Self Efficacy ◽  
Structural Equation ◽  
Social Cognitive ◽  
Learning Experiences ◽  
Vocational Interests ◽  
Equation Modeling ◽  
Personality Variables ◽  
Improved Model ◽  
Social Cognitive Career

This study integrated Holland’s themes within a modified social cognitive career theory (SCCT) model, exploring whether gender-related personality variables account for the relations between gender and vocational interests. Undergraduates ( N = 452) completed expressiveness, instrumentality, and realistic, investigative, artistic, social, enterprising, and conventional (RIASEC)-based measures of learning experiences, self-efficacy, and interests. Through structural equation modeling, the paths via expressiveness and instrumentality fully explained gender’s effect on artistic and conventional interests, respectively. The paths through instrumentality partially explained gender’s effect on investigative and enterprising interests, while gender’s effect on social interest was partially explained through expressiveness and instrumentality when considering the path without self-efficacy. The paths through expressiveness and instrumentality partially explained gender’s effect on realistic interests. Adding direct paths from learning experiences to interests improved model fit for realistic, artistic, and social models. These results demonstrate the utility of concurrently assessing the RIASEC and SCCT frameworks to delineate factors that influence gender differences in vocational interests.

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