scholarly journals The interaction of nicotine withdrawal and panic disorder in the prediction of panic-relevant responding to a biological challenge.

2013 ◽  
Vol 27 (1) ◽  
pp. 90-101 ◽  
Author(s):  
Teresa M. Leyro ◽  
Michael J. Zvolensky
Keyword(s):  
Panic Disorder ◽  
Nicotine Withdrawal ◽  
Biological Challenge

Biological challenge procedures used to study co-occurring nicotine dependence and panic disorder

2008 ◽  
Vol 33 (11) ◽  
pp. 1463-1469 ◽  
Author(s):  
Kenneth Abrams ◽  
Koen Schruers ◽  
Fiammetta Cosci ◽  
Shaun Sawtell
Keyword(s):  
Panic Disorder ◽  
Nicotine Dependence ◽  
Biological Challenge

scholarly journals Assessing vulnerability to panic: a systematic review of psychological and physiological responses to biological challenges as prospective predictors of panic attacks and panic disorder

2019 ◽  
Vol 32 (6) ◽  
pp. e100140
Author(s):  
Donald J Robinaugh ◽  
Meredith J Ward ◽  
Emma R Toner ◽  
Mackenzie L Brown ◽  
Olivia M Losiewicz ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Preliminary Evidence ◽  
Panic Attacks ◽  
Empirical Literature ◽  
Biological Challenge ◽  
Cognitive Behavioural ◽  
Strong Indicator ◽  
Registration Number ◽  
Prospective Association ◽  
Behavioural Theories

BackgroundCognitive–behavioural theories of panic disorder posit that panic attacks arise from a positive feedback loop between arousal-related bodily sensations and perceived threat. In a recently developed computational model formalising these theories of panic attacks, it was observed that the response to a simulated perturbation to arousal provided a strong indicator of vulnerability to panic attacks and panic disorder. In this review, we evaluate whether this observation is borne out in the empirical literature that has examined responses to biological challenge (eg, CO2 inhalation) and their relation to subsequent panic attacks and panic disorder.MethodWe searched PubMed, Web of Science and PsycINFO using keywords denoting provocation agents (eg, sodium lactate) and procedures (eg, infusion) combined with keywords relevant to panic disorder (eg, panic). Articles were eligible if they used response to a biological challenge paradigm to prospectively predict panic attacks or panic disorder.ResultsWe identified four eligible studies. Pooled effect sizes suggest that there is biological challenge response has a moderate prospective association with subsequent panic attacks, but no prospective relationship with panic disorder.ConclusionsThese findings provide support for the prediction derived from cognitive–behavioural theories and some preliminary evidence that response to a biological challenge may have clinical utility as a marker of vulnerability to panic attacks pending further research and development.Trial registration number135908.

scholarly journals The role of distress intolerance for panic and nicotine withdrawal symptoms during a biological challenge

2015 ◽  
Vol 29 (7) ◽  
pp. 783-791 ◽  
Author(s):  
Samantha G Farris ◽  
Michael J Zvolensky ◽  
Michael W Otto ◽  
Teresa M Leyro
Keyword(s):  
Nicotine Withdrawal ◽  
Withdrawal Symptoms ◽  
Distress Intolerance ◽  
Biological Challenge

Avoidant coping in panic disorder: a yohimbine biological challenge study

2012 ◽  
Vol 25 (4) ◽  
pp. 425-442 ◽  
Author(s):  
Johanna S. Kaplan ◽  
Diane B. Arnkoff ◽  
Carol R. Glass ◽  
Ruth Tinsley ◽  
Marilla Geraci ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Avoidant Coping ◽  
Biological Challenge ◽  
Challenge Study

Emotional responding to biological challenge as a function of panic disorder and smoking

2004 ◽  
Vol 18 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Michael J Zvolensky ◽  
Ellen W Leen-Feldner ◽  
Matthew T Feldner ◽  
Marcel O Bonn-Miller ◽  
C.W Lejuez ◽  
...  
Keyword(s):  
Panic Disorder ◽  
Biological Challenge ◽  
Emotional Responding

Effects of a safe person on induced distress following a biological challenge in panic disorder with agoraphobia.

1995 ◽  
Vol 104 (1) ◽  
pp. 156-163 ◽  
Author(s):  
Michele M. Carter ◽  
Steven D. Hollon ◽  
Richard Carson ◽  
Richard C. Shelton
Keyword(s):  
Panic Disorder ◽  
Biological Challenge

Identifying Patterns in Complex Field Data

2017 ◽  
Vol 225 (3) ◽  
pp. 268-284 ◽  
Author(s):  
Andrew J. White ◽  
Dieter Kleinböhl ◽  
Thomas Lang ◽  
Alfons O. Hamm ◽  
Alexander L. Gerlach ◽  
...  
Keyword(s):  
Heart Rate ◽  
Panic Disorder ◽  
Latent Class ◽  
Treatment Protocol ◽  
Situational Factors ◽  
Self Report ◽  
Complex Field ◽  
Cluster Assignment ◽  
Experimental Conditions ◽  
Conventional Analysis

Abstract. Ambulatory assessment methods are well suited to examine how patients with panic disorder and agoraphobia (PD/A) undertake situational exposure. But under complex field conditions of a complex treatment protocol, the variability of data can be so high that conventional analytic approaches based on group averages inadequately describe individual variability. To understand how fear responses change throughout exposure, we aimed to demonstrate the incremental value of sorting HR responses (an index of fear) prior to applying averaging procedures. As part of their panic treatment, 85 patients with PD/A completed a total of 233 bus exposure exercises. Heart rate (HR), global positioning system (GPS) location, and self-report data were collected. Patients were randomized to one of two active treatment conditions (standard exposure or fear-augmented exposure) and completed multiple exposures in four consecutive exposure sessions. We used latent class cluster analysis (CA) to cluster heart rate (HR) responses collected at the start of bus exposure exercises (5 min long, centered on bus boarding). Intra-individual patterns of assignment across exposure repetitions were examined to explore the relative influence of individual and situational factors on HR responses. The association between response types and panic disorder symptoms was determined by examining how clusters were related to self-reported anxiety, concordance between HR and self-report measures, and bodily symptom tolerance. These analyses were contrasted with a conventional analysis based on averages across experimental conditions. HR responses were sorted according to form and level criteria and yielded nine clusters, seven of which were interpretable. Cluster assignment was not stable across sessions or treatment condition. Clusters characterized by a low absolute HR level that slowly decayed corresponded with low self-reported anxiety and greater self-rated tolerance of bodily symptoms. Inconsistent individual factors influenced HR responses less than situational factors. Applying clustering can help to extend the conventional analysis of highly variable data collected in the field. We discuss the merits of this approach and reasons for the non-stereotypical pattern of cluster assignment across exposures.

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