Abstract
The aim of the current cross-sectional study was to examine the effects of specific anxiety sensitivity (AS) dimensions (AS -Physical, -Cognitive, and -Social concerns) on exercise tolerance (i.e., 6-minute walk test) and factors that interfere with cardiopulmonary rehabilitation (CPR) and exercise adherence (i.e., depression and anxiety symptoms) among individuals seeking treatment in cardiopulmonary rehabilitation (CPR). Participants were 69 individuals (65.2% male, Mage = 63.60, SD = 12.55, Range = 27-85 years) with various cardiovascular or pulmonary conditions meeting criteria for CPR entry, who presented for an intake appointment at an outpatient phase 2 CPR clinic. Higher levels of AS-Physical and-Social concerns were significantly associated with poorer exercise tolerance and greater generalized anxiety symptoms, respectively. Though none of the AS dimensions were significant individual predictors, they were collectively associated with greater depressive symptoms. Future work should assess whether it may be useful to target AS in some patients prior to or throughout CPR.
Keywords: anxiety sensitivity, cardiopulmonary, anxiety, depression, exercise tolerance
Introduction
Cardiopulmonary rehabilitation (CPR) programs are designed to improve exercise tolerance among individuals with cardiopulmonary conditions (Balady et al., 2007; Ries et al., 2007). However, rates of adherence to these programs remains low and less than half of individuals who attend CPR continue to exercise six months following completion of the program (Daly et al., 2002; Moore, Dolansky, Ruland, Pashkow, & Blackburn 2003). Anxiety and depressive symptoms are common among individuals with cardiopulmonary conditions (e.g., Celano & Huffman, 2011; Mikkelsen, Middelboe, Pisinger, & Stage, 2004) and have been shown to reduce adherence to CPR programs and contribute to negative health behaviors, including physical inactivity (Bonnet et al., 2005; McGrady et al., 2009; Moore et al., 2003). To optimize CPR outcomes there is a need to identify factors that may influence exercise tolerance and anxiety and depressive symptoms in this population.
Anxiety sensitivity (AS), or the fear of arousal-related sensations, may be one such factor to examine in this regard (McNally, 2002). AS is a stable, yet malleable, vulnerability factor that amplifies anxious and fearful responding due to the perceived negative physical (AS-Physical), cognitive (AS-Cognitive), and social (AS-Social) consequences of anxiety-related sensations (Taylor et al., 2007). Elevated AS may indirectly contribute to poor CPR progress through negative health behaviors, including physical inactivity. Indeed, individuals with elevated AS avoid physical activity (Hearon et al., 2014; McWilliams & Asmundson, 2001; Moshier et al., 2013; Smits & Zvolensky, 2006), experience higher levels of distress while exercising (Smits, Tart, Presnell, Rosenfield, & Otto, 2010), and have higher levels of perceived exertion during exercise (Farris et al., 2017). Among individuals enrolled in cardiovascular rehabilitation, AS has been shown to be associated with greater fear of exercise (Farris et al, 2018).
The aim of the current study was to examine the effects of AS dimensions in terms of exercise tolerance (i.e., 6-minute walk test) and factors that contribute to poor CPR and exercise adherence (i.e., anxiety and depressive symptoms) among individuals presenting for CPR. Specific AS dimensions were studied to help identify more specific targets to guide future intervention efforts. Consistent with past work in cardiopulmonary populations (Avallone et al., 2012; Farris & Abrantes, 2017; Farris et al., 2018; McLeish et al., 2011), it was hypothesized that, after controlling for the effects of gender, age, and rehabilitation status (cardiovascular or pulmonary), AS-Physical concerns, but not AS-Cognitive or AS-Social concerns, would be associated with higher anxiety and depressive symptoms and poorer and exercise tolerance.
Materials and Method
Participants
See Table 1 for demographic characteristics of the sample. Participants were 69 individuals with various cardiovascular or pulmonary conditions who were referred for an intake appointment at an outpatient phase 2 cardiopulmonary rehabilitation program. All participants in this sample denied current cigarette smoking.
Table 1.
Sample Characteristics
| Variable | Cardiovascular | Pulmonary |
|---|---|---|
| Gender, % male | 67.3 | 58.8 |
| Age, M(SD) | 61.41(12.94) | 70.18(8.68) |
| Race, % | ||
| Caucasian | 75 | 70.6 |
| Black/African American | 17.3 | 23.5 |
| Asian | 3.8 | 0 |
| American Indian or Alaska Native | 1.9 | 5.9 |
| Biracial | 1.9 | 0 |
| Not specified | 1.9 | 0 |
| Rehabilitation Status, % | 75.4 | 24.6 |
| Cardiovascular Diagnosis, % | ||
| Coronary artery disease | 23.1 | - |
| Myocardial infarction | 23.1 | - |
| PTCA | 23.1 | - |
| Chronic heart failure | 13.4 | - |
| Valve replacement | 9.6 | - |
| Other cardiovascular | 7.6 | - |
| Pulmonary Diagnosis, % | ||
| COPD | - | 41.2 |
| Idiopathic Pulmonary Fibrosis | - | 23.5 |
| Sarcoidosis | - | 11.8 |
| Emphysema | - | 5.9 |
| Pulmonary Hypertension | - | 5.9 |
| Nonspecific Interstitial | - | 5.9 |
| Pneumonia | - | 5.9 |
| Interstitial Lung Disease | - | 5.9 |
Note. COPD: Chronic Obstructive Pulmonary Disease; PTCA: Percutaneous transluminal coronary angioplasty
Measures
Information from electronic medical records.
Sociodemographic information (i.e., gender, race, and smoking status), primary diagnosis, and baseline assessments from CPR intake appointments (i.e., Patient Health Questionnaire-9 [PHQ-9] and the 6-minute walk test) were collected from each participant’s electronic medical record.
Anxiety Sensitivity Index-3 (ASI-3).
The ASI-3 (Taylor et al., 2007) is an 18-item self-report measure that assesses the degree to which participants fear the negative physical (AS-Physical), social (AS-Social), and cognitive (AS-Cognitive) consequences of anxiety-related symptoms. Internal consistency for each of the three subscales of the ASI-3 in the current study was good (α range = .74-.86).
Generalized Anxiety Disorder-7 (GAD-7).
The GAD-7 (Spitzer et al., 2006) is a 7-item, one-dimensional self-report measure that assesses the presence of generalized anxiety disorder symptoms over the past week. Internal consistency for the GAD-7 in the current study was good (α = .86).
Patient Health Questionnaire-9 (PHQ-9).
The PHQ-9 (Kroenke & Spitzer, 2002) is a 9-item self-report measure that assesses the presence of depressive symptoms over the past two weeks. The total score on the PHQ-9 was extracted from the participant’s medical record, and therefore, internal consistency could not be calculated for the current study.
6-Minute Walk Test (6MWT).
The 6-minute walk test is a valid and reliable tool that is frequently used in clinical research to assesses an individual’s functional exercise tolerance (Butland, Pang, Gross, Woodcock & Geddes, 1982; Guyatt et al., 1985; Hamilton & Haennel, 2000). Participants are asked to walk as quickly as they can along a long corridor for 6 minutes (measured in feet).
Procedure
Study procedures were approved by the Institutional Review Board. Any individual 18 years of age or older presenting to their intake visit at an outpatient phase 2 CPR clinic, regardless of their medical diagnosis, was invited to participate in the study. A waiver of consent was obtained and participants were presented with an information sheet prior to completing study measures. Participants were required to provide verbal consent if they were interested in participating and understood the information sheet before proceeding with the study. As part of the standard CPR intake appointment, individuals completed several self-report questionnaires and physical health examinations—this information was extracted from medical record. In addition to standard intake procedures, participants also completed the ASI-3 and GAD-7.
Data Analytic Approach
First, bivariate correlations were computed to examine the relationships between all study variables. Second, separate hierarchical multiple regression models were constructed for anxiety symptoms (GAD-7), depressive symptoms (PHQ-9), and exercise tolerance (6-minute walk test). In step one of each model, the covariates of gender, age and rehabilitation status (i.e., cardiovascular and pulmonary rehabilitation) were entered. AS-Physical, -Cognitive, and –Social concerns were simultaneously entered in step two of the model.
Results
Descriptive data and bivariate associations between predictor and criterion variables are presented in Tables 2 and 3, respectively.
Table 2.
Descriptive Data for all Study Variables
| Pulmonary (N = 17) | Cardiovascular (N = 52) | Total (N = 69) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||
| Mean | SD | Range | Mean | SD | Range | Mean | SD | Range | t | p | |
| AS-Physical | 2.71 | 2.95 | 0-8 | 5.28 | 4.81 | 0-20 | 4.63 | 4.53 | 0-20 | 2.07 | .04* |
| AS-Cognitive | 1.29 | 1.93 | 0-7 | 1.65 | 2.33 | 0-10 | 1.56 | 2.23 | 0-10 | .57 | .57 |
| AS-Social | 2.00 | 2.39 | 0-7 | 3.65 | 3.73 | 0-19 | 3.26 | 3.52 | 0-19 | 1.67 | .10 |
| Anxiety symptoms | 2.88 | 3.57 | 0-11 | 3.33 | 3.74 | 0-15 | 3.21 | 3.67 | 0-15 | .43 | .67 |
| Depressive symptoms | 8.36 | 4.59 | 1-17 | 4.98 | 3.75 | 0-18 | 5.57 | 4.08 | 0-18 | 3.78 | <.01** |
| Exercise tolerance | 1056.29 | 378.02 | 400-1980 | 1464.13 | 378.15 | 555-2110 | 1365.87 | 413.33 | 400-2110 | −2.61 | .01* |
Note. t = independent samples t-test comparing individuals with cardiovascular and pulmonary conditions; AS-Physical: Anxiety Sensitivity Index 3-Physical Concerns (Taylor et al., 2007); AS-Cognitive: Anxiety Sensitivity Index 3-Cognitive Concerns (Taylor et al., 2007); AS-Social: Anxiety Sensitivity Index 3-Social Concerns (Taylor et al., 2007); Anxiety symptoms: Generalized Anxiety Disorder-7 (Spitzer et al., 2006); Depressive symptoms: Patient Health Questionnaire-9 (Kroenke & Spitzer, 2002); Exercise tolerance: 6-minute walk test.
= p < .01
= p < .05
Table 3.
Intercorrelations among Predictor and Criterion Variables
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | - | −.09 | .90 | .22 | .13 | −.08 | .16 | .08 | .35** |
| 2. Age | - | .31* | −.22 | .01 | −.19 | −.24 | .08 | .45** | |
| 3. Rehab Status | - | −.25* | −.07 | −.20 | −.05 | .32* | −.42** | ||
| 4. AS-Physical | - | .56** | .32** | .30* | .20 | −.19 | |||
| 5. AS-Cognitive | - | .33** | .25* | .26* | −.05 | ||||
| 6. AS-Social | - | .44** | .21 | .19 | |||||
| 7. Anxiety symptoms | - | .51** | −.01 | ||||||
| 8. Depressive symptoms | - | −.21 | |||||||
| 9. Exercise tolerance | - |
Note. Gender, 1 = male, 2 = female; Rehab Status: Rehabilitation Status, 1 = cardiovascular rehab, 2 = pulmonary rehab
= p < .01
= p < .05
Results from the regression analyses are presented in Table 4. In terms of anxiety symptoms, step one of the model was not significant. Step two of the model accounted for 19.9% of variance, and AS-Social was the only significant variable.
Table 4.
Anxiety Sensitivity Predicting Anxiety Symptoms, Depressive Symptoms and Exercise Tolerance
| ΔR2 | t (each predictor) | β | sr2 | p | |
|---|---|---|---|---|---|
| Criterion Variable: Anxiety Symptoms | |||||
| Step 1 | .07 | .22 | |||
| Gender | 1.07 | .14 | .02 | .28 | |
| Age | −1.52 | −.21 | .04 | .12 | |
| Rehab Status | .11 | .01 | .00 | .92 | |
| Step 2 | .20 | <01** | |||
| AS-Physical | .89 | .14 | .01 | .38 | |
| AS-Cognitive | .18 | .03 | .00 | .86 | |
| AS-Social | 3.05 | .39 | .13 | <.01** | |
| Criterion Variable: Depressive Symptoms | |||||
| Step 1 | .11 | .10 | |||
| Gender | .39 | .05 | .00 | .70 | |
| Age | .07 | .01 | .00 | .95 | |
| Rehab Status | 2.40 | .33 | .10 | .02* | |
| Step 2 | .15 | .03* | |||
| AS-Physical | 1.29 | .20 | .02 | .21 | |
| AS-Cognitive | .50 | .08 | .00 | .62 | |
| AS-Social | 1.77 | .24 | .05 | .08 | |
| Criterion Variable: Exercise Tolerance | |||||
| Step 1 | .40 | <.01** | |||
| Gender | −3.12 | −.32 | .13 | <.01** | |
| Age | −3.57 | −.39 | .13 | <.01** | |
| Rehab Status | −2.72 | −.30 | .08 | <.01** | |
| Step 2 | .15 | <.01** | |||
| AS-Physical | −4.13 | −.50 | .14 | <.01** | |
| AS-Cognitive | 1.99 | .23 | .03 | .051 | |
| AS-Social | .86 | .09 | .01 | .40 | |
= p < .01
p < .05
Note. β = standardized beta weight; sr2 = squared semi-partial correlation.
In terms of depressive symptoms, step one of the model was not significant. Step two of the model accounted for 15.2% variance, though there were no significant individual variables.
In terms of exercise tolerance, step one of the model accounted for 39.5% of variance, and gender, age, and rehabilitation status were significant variables. Step two of the model accounted for an additional 14.4% of variance, and AS-Physical was the only significant variable.1
Discussion
Consistent with the hypothesis, greater levels of AS-Physical concerns, but not AS-Cognitive or AS-Social concerns, was associated with poorer exercise tolerance. This finding is consistent with past work on AS and exercise (Hearon et al., 2014; McWilliams & Asmundson, 2001; Moshier et al., 2013; Smits & Zvolensky, 2006) and suggest that individuals with cardiopulmonary conditions who fear arousal-related physical sensations are more likely to be physically deconditioned upon entering CPR. It may be the case that individuals with cardiopulmonary conditions, who are high in AS, experience distress when exertion-related symptoms (e.g., breathlessness) are elicited during exercise, resulting in avoidance of exercise, reduced adherence to CPR, and decreased exercise capacity over time (Smits et al., 2010).
Inconsistent with the hypothesis, AS-Social concerns, but not the other AS dimensions, was significantly associated with greater anxiety symptoms. In line with past work (e.g., Allan, Capron, Raines, & Schmidt, 2014; Naragon-Gainey, 2010), this may be due to the fact that the current study assessed generalized anxiety specific symptoms (i.e. GAD), as opposed to anxiety symptoms more globally, or other anxiety disorder-specific symptoms (e.g., panic symptoms). It is also possible that the high correlation between the AS-Physical and -Cognitive dimensions created a suppression effect in the regression models, resulting in the AS-Social concerns dimension emerging as the only significant variable. Also inconsistent with the hypothesis, despite significance when taken together, none of the individual AS dimensions were significantly associated with depressive symptoms. It may be the case that each AS dimension is of equal importance for depressive symptoms in this population. Taken together, it is possible that elevated depressive and anxiety symptoms may hinder CPR treatment progress through reduced exercise adherence and unhealthy lifestyle behaviors (Bonnet et al., 2005; McGrady et al., 2009). Therefore, future research should examine whether reducing AS leads to downstream improvements in these outcomes.
Limitations to the current study include the cross-sectional nature of the design, small sample size, the self-selected nature of the sample, and the homogeneity of the sample in regards to race and ethnicity. Moreover, other theoretically relevant variables that may affect the relationship between AS and exercise tolerance and anxiety/depressive symptoms (e.g., negative affect, disease severity/physical health status, exercise risk status) were not included in the current study in order to minimize participant and staff burden in the CPR clinic. Lastly, though there is considerable overlap in cardiovascular and pulmonary conditions, AS may be differentially associated with exercise tolerance and anxiety/depressive symptoms within each rehabilitation group. Indeed, there were different symptom loads in some areas for individuals with cardiovascular compared to pulmonary conditions. Therefore, future studies with larger sample sizes should examine these relationships separately in cardiovascular and pulmonary patients.
Despite these limitations, findings suggest that the AS, particularly the Physical and Social concerns domains, are associated with poorer exercise tolerance and higher and depressive and anxiety symptoms among individuals with cardiopulmonary conditions seeking treatment in CPR. Though more work is needed, it may be useful to target AS in some patients prior to or throughout CPR.
Acknowledgments
Funding: Kristen Kraemer was supported by the NIH under Grant T32AT000051. All other authors have no disclosures of funding.
Footnotes
Conflict of interest: All authors declare no conflicts of interest
Disclosure Statement
Conflict of Interest: All authors declare that they have no conflict of interest.
Separate models were constructed to assess the predicative ability of the AS-Total score on exercise tolerance and depressive and anxiety symptoms. AS-Total was a significant predictor of anxiety and depressive symptoms above and beyond covariates, but not exercise tolerance. Results are available from the corresponding author upon request.
References
- Allan NP, Capron DW, Raines AM, & Schmidt NB (2014). Unique relations among anxiety sensitivity factors and anxiety, depression, and suicidal ideation. Journal of Anxiety Disorders, 28, 266–275. [DOI] [PubMed] [Google Scholar]
- Avallone KM, McLeish AC, Luberto CM, & Bernstein JA (2012). Anxiety sensitivity, asthma control, and quality of life in adults with asthma. Journal of Asthma, 49, 57–62. [DOI] [PubMed] [Google Scholar]
- Balady GJ, Williams MA, Ades PA, Bittner V, Comoss P, Foody JM, … & Southard D. (2007). Core components of cardiac rehabilitation/secondary prevention programs: 2007 update. A scientific statement from the American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee, the Council on Clinical Cardiology; the Councils on Cardiovascular Nursing, Epidemiology and Prevention, and Nutrition, Physical Activity, and Metabolism; and the American Association of Cardiovascular and Pulmonary Rehabilitation. Circulation ,115, 2675–2682. [DOI] [PubMed] [Google Scholar]
- Bonnet F, Irving K, Terra JL, Nony P, Berthezène F, & Moulin P (2005). Anxiety and depression are associated with unhealthy lifestyle in patients at risk of cardiovascular disease. Atherosclerosis, 178, 339–344. [DOI] [PubMed] [Google Scholar]
- Butland RJ, Pang JACK, Gross ER, Woodcock AA, & Geddes DM (1982). Two-, six-, and 12-minute walking tests in respiratory disease. British Medical Journal (Clinical research ed.), 284, 1607–1608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Celano CM, & Huffman JC (2011). Depression and cardiac disease: a review. Cardiology in Review, 19, 130–142. [DOI] [PubMed] [Google Scholar]
- Daly J, Sindone AP, Thompson DR, Hancock K, Chang E, & Davidson P (2002). Barriers to participation in and adherence to cardiac rehabilitation programs: A critical literature review. Progress in Cardiovascular Nursing, 17, 8–17. [DOI] [PubMed] [Google Scholar]
- Farris SG, & Abrantes AM (2017). Anxiety sensitivity in smokers with indicators of cardiovascular disease. Psychology, Health & Medicine, 22, 961–968. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farris SG, Bond DS, Wu WC, Stabile LM, & Abrantes AM (2018). Anxiety sensitivity and fear of exercise in patients attending cardiac rehabilitation. Mental Health and Physical Activity, 15, 22–26. [Google Scholar]
- Guyatt GH, Sullivan MJ, Thompson PJ, Fallen EL, Pugsley SO, Taylor DW, & Berman LB (1985). The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Canadian Medical Association Journal, 132, 919–923. [PMC free article] [PubMed] [Google Scholar]
- Hamilton DM, & Haennel RG (2000). Validity and reliability of the 6-minute walk test in a cardiac rehabilitation population. Journal of Cardiopulmonary Rehabilitation and Prevention, 20, 156–164. [DOI] [PubMed] [Google Scholar]
- Hearon BA, Quatromoni PA, Mascoop JL, & Otto MW (2014). The role of anxiety sensitivity in daily physical activity and eating behavior. Eating Behaviors, 15, 255–258. [DOI] [PubMed] [Google Scholar]
- Keough ME, & Schmidt NB (2012). Refinement of a brief anxiety sensitivity reduction intervention. Journal of Consulting and Clinical Psychology, 80, 766–772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kroenke K, & Spitzer RL (2002). The PHQ-9: a new depression diagnostic and severity measure. Psychiatric Annals, 32, 509–515. [Google Scholar]
- Lemon J, & Edelman S (2007). Psychological adaptation to ICDs and the influence of anxiety sensitivity. Psychology, Health & Medicine, 12, 163–171. [DOI] [PubMed] [Google Scholar]
- McGrady A, McGinnis R, Badenhop D, Bentle M, & Rajput M (2009). Effects of depression and anxiety on adherence to cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation and Prevention, 29, 358–364. [DOI] [PubMed] [Google Scholar]
- McLeish AC, Zvolensky MJ, & Luberto CM (2011). The role of anxiety sensitivity in terms of asthma control: a pilot test among young adult asthmatics. Journal of Health Psychology, 16, 439–444. [DOI] [PubMed] [Google Scholar]
- McNally RJ (2002). Anxiety sensitivity and panic disorder. Biological Psychiatry, 52, 938–946. [DOI] [PubMed] [Google Scholar]
- McWilliams LA, & Asmundson GJG (2001). Is there a negative association between anxiety sensitivity and arousal-increasing substances and activities? Journal of Anxiety Disorders, 15,161–170. [DOI] [PubMed] [Google Scholar]
- Mikkelsen RL, Middelboe T, Pisinger C, & Stage KB (2004). Anxiety and depression in patients with chronic obstructive pulmonary disease (COPD). A review. Nordic Journal of Psychiatry, 58, 65–70. [DOI] [PubMed] [Google Scholar]
- Moore SM, Dolansky MA, Ruland CM, Pashkow FJ, & Blackburn GG (2003). Predictors of women’s exercise maintenance after cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation and Prevention, 23(1), 40–49. [DOI] [PubMed] [Google Scholar]
- Naragon-Gainey K (2010). Meta-analysis of the relations of anxiety sensitivity to the depressive and anxiety disorders. Psychological Bulletin, 136, 128–150. [DOI] [PubMed] [Google Scholar]
- Ocañez KL, Kathryn McHugh R, & Otto MW (2010). A meta-analytic review of the association between anxiety sensitivity and pain. Depression and Anxiety, 27, 760–767. [DOI] [PubMed] [Google Scholar]
- Ries AL, Bauldoff GS, Carlin BW, Casaburi R, Emery CF, Mahler DA, … & Herrerias C. (2007). Pulmonary rehabilitation: joint ACCP/AACVPR evidence-based clinical practice guidelines. CHEST Journal, 131, 4S–42S. [DOI] [PubMed] [Google Scholar]
- Simon NM, Weiss AM, Kradin R, Evans KC, Reese HE, Otto MW, … & Pollack MH. (2006). The relationship of anxiety disorders, anxiety sensitivity and pulmonary dysfunction with dyspnea-related distress and avoidance. The Journal of Nervous and Mental Disease, 194, 951–957. [DOI] [PubMed] [Google Scholar]
- Smits JA, Tart CD, Presnell K, Rosenfield D, & Otto MW (2010). Identifying potential barriers to physical activity adherence: Anxiety sensitivity and body mass as predictors of fear during exercise. Cognitive Behaviour Therapy, 39, 28–36. [DOI] [PubMed] [Google Scholar]
- Smits JAJ, & Zvolensky M (2006). Emotional vulnerability as a function of physical activity among individuals with panic disorder. Depression and Anxiety, 23, 102–106. [DOI] [PubMed] [Google Scholar]
- Spitzer RL, Kroenke K, Williams JB, & Löwe B (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166, 1092–1097. [DOI] [PubMed] [Google Scholar]
- Taylor S, Zvolensky MJ, Cox BJ, Deacon B, Heimberg RG, Ledley DR, … & Coles M. (2007). Robust dimensions of anxiety sensitivity: development and initial validation of the Anxiety Sensitivity Index-3. Psychological Assessment, 19, 176–188. [DOI] [PubMed] [Google Scholar]
