Health Anxiety Inventory- hypochondriasis

1. Abstract

The Health Anxiety Inventory (HAI), developed by Paul M. Salkovskis, Katharine A. Rimes, H. M. C. Warwick, and David M. Clark in 2002, represents a watershed advancement in the psychometric assessment of health anxiety and hypochondriacal ideation. Rooted firmly within the cognitive-behavioral model of health anxiety, the instrument was engineered to overcome major conceptual and empirical limitations present in earlier assessment devices, most notably the conflation of genuine organic medical symptoms with pathological health-related preoccupation. The inventory evaluates the core cognitive, affective, and behavioral manifestations of hypochondriasis, differentiating between the perceived likelihood of becoming seriously ill and the catastrophic evaluation of the anticipated consequences of illness (awfulness). Extensively validated across non-clinical, medical, and psychiatric populations, the HAI exists in both an exhaustive full-length version (comprising 64 items evaluating core symptoms, awfulness, reassurance seeking, and avoidance) and a widely adopted 18-item short version (Short HAI; SHAI) encompassing a 14-item core illness likelihood/preoccupation index and a 4-item negative consequence/awfulness subscale. Furthermore, companion modules such as the Health Anxiety Beliefs Questionnaire (HABQ) assess cognitive belief structures, examining both frequency and conviction ratings across pre-consultation and catastrophic intrusive contemplation contexts. Extant psychometric investigations consistently demonstrate that the HAI and its derivative forms possess remarkable internal consistency (with Cronbach’s alpha coefficients regularly exceeding .90 for total scores and .70 to .89 across subscales), robust test-retest reliability across both brief (one-week) and extended (six-month) intervals, outstanding convergent validity with established measures of bodily preoccupation, and sharp discriminant validity separating health anxiety from generalized anxiety, major depression, and genuine somatic pathology. Consequently, the inventory serves as an indispensable gold standard for clinical screening, theoretical investigation, cognitive-behavioral case formulation, and treatment outcome monitoring.

2. Keywords

Health Anxiety Inventory, hypochondriasis, illness anxiety disorder, cognitive-behavioral therapy, Health Anxiety Beliefs Questionnaire, somatic amplification, psychometrics, catastrophic misinterpretation, reassurance seeking, test-retest reliability

3. Authors

The Health Anxiety Inventory and its associated theoretical framework were conceived, constructed, and empirically validated by a distinguished team of clinical psychologists and academic researchers specializing in anxiety disorders and cognitive theory:

• Paul M. Salkovskis, Ph.D., CPsychol, FBPsS — Professor of Clinical Psychology and Applied Science, Department of Psychology, King’s College London, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), London, United Kingdom; formerly at the University of Oxford Department of Psychiatry and the Maudsley Hospital. Renowned for formulating cognitive-behavioral conceptualizations of obsessive-compulsive disorder, health anxiety, and panic disorder.
• Katharine A. Rimes, Ph.D. — Professor of Clinical Psychology, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom. Specialist in cognitive models of persistent physical symptoms, chronic fatigue syndrome, and affective dysregulation.
• H. M. C. (Celia) Warwick, DM, FRCPsych — Consultant Psychiatrist and Senior Clinical Researcher, University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom. Pioneered early experimental and clinical investigations establishing cognitive therapy protocols for severe hypochondriasis.
• David M. Clark, D.Phil., FBA, FMedSci — Professor of Experimental Psychology and Head of the Oxford Centre for Anxiety Disorders and Trauma, University of Oxford, Oxford, United Kingdom. Globally recognized for his cognitive models of panic disorder, social phobia, and the development of the English Improving Access to Psychological Therapies (IAPT) national initiative.

4. Purpose

The primary purpose of the Health Anxiety Inventory is to provide a theoretically coherent, empirically robust, and clinically sensitive psychometric instrument capable of capturing the full dimensional spectrum of health anxiety—ranging from mild, adaptive physical vigilance to debilitating, clinical hypochondriasis (now categorized under the diagnostic nomenclature of Illness Anxiety Disorder and Somatic Symptom Disorder within the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5]). Prior to the development of the HAI, standard psychometric devices used in this domain—such as the Illness Attitude Scales (IAS; Kellner, 1986) and the Whiteley Index (Pilowsky, 1967)—suffered from prominent psychometric limitations. Foremost among these was their inability to adequately distinguish between an individual experiencing authentic, physically diagnosed chronic medical conditions (e.g., rheumatoid arthritis, multiple sclerosis, cardiology pathology) and an individual exhibiting pathologically distorted cognitive interpretations of benign bodily sensations.

To resolve this contamination, Salkovskis and colleagues designed the HAI using counterfactual and conditional item formulations. Rather than querying whether an individual currently experiences distressing physical sensations, the inventory asks respondents how they would think and feel conditional upon physical ambiguity or the hypothetical development of an illness. Consequently, the instrument measures the cognitive appraisal mechanisms, hypervigilance, and safety-seeking behaviors characteristic of health anxiety without artificially elevating scores among medically ill cohorts. The purpose extends beyond mere diagnostic taxonomy: the inventory was intentionally architected to map onto the modifiable parameters of cognitive-behavioral case formulations.

Clinically, the inventory fulfills multiple distinct diagnostic, prognostic, and evaluative functions:

• Diagnostic Screening: Identifying patients across primary care, general medical specialty clinics (e.g., neurology, gastroenterology, cardiology), and psychiatric outpatient settings whose bodily complaints represent disproportionate health-related catastrophic ideation rather than acute medical crises.
• Differential Diagnosis: Parsing health anxiety from generalized anxiety disorder (GAD), panic disorder, and major depressive disorder by targeting specific concerns regarding physiological deterioration, terminal illness, and perceived vulnerability.
• Treatment Process and Outcome Tracking: Utilizing the two operationalized temporal referent versions—the “week” version (which captures acute fluctuations and serves as a highly sensitive weekly process and outcome measure in cognitive-behavioral trials) and the “month” or “six-month” version (aligned with the diagnostic duration criteria of DSM-IV/DSM-5 for formal diagnostic baseline screening).
• Cognitive Mechanism Clarification: Through its companion subscales and questionnaires (such as the Health Anxiety Beliefs Questionnaire, HABQ), measuring cognitive conviction, intrusive thought frequency, medical over-reporting tendencies, and perfectionistic diagnostic verification requirements.

5. Psychological Construct

The construct measured by the Health Anxiety Inventory is health anxiety, conceptualized dimensionally along a severity continuum that culminates in clinical hypochondriasis. At an operational level, health anxiety is not merely a transient concern regarding physical wellness; it is a multi-system syndrome involving cognitive biases, affective hyperarousal, physiological amplification, and compulsive behavioral strategies focused on physiological integrity.

The HAI operationalizes this construct across several clearly demarcated psychological dimensions:

5.1 Perceived Likelihood of Illness (Probability Appraisals)

This core component measures the respondent’s cognitive tendency to overestimate the mathematical and subjective likelihood of harboring a deadly, covert, or progressive medical disease. In individuals with elevated health anxiety, ambiguous or benign somatic sensations—such as benign fasciculations, normal sinus tachycardia, transient headaches, or peripheral paresthesias—are automatically interpreted as unambiguous indicators of severe pathology (e.g., motor neuron disease, impending myocardial infarction, intracranial malignancy). The HAI captures this through statements assessing continuous bodily monitoring, intrusive dread regarding physical decline, and the perceived inevitability of severe sickness.

5.2 Perceived Awfulness / Catastrophic Cost (Severity Appraisals)

A central tenet of the Salkovskis cognitive formulation is that health anxiety is governed not only by the subjective probability of disease, but equally by the perceived catastrophizing of its consequences. This dimension assesses the cognitive appraisal of one’s absolute inability to cope with an illness, the total loss of autonomy, existential dread, intolerable agony, and premature social or biological demise should an illness develop. The awfulness subscale isolates this construct by explicitly commanding the respondent to imagine a scenario where they have developed a serious medical condition and evaluating how completely unbearable, hopeless, and catastrophic that reality would be.

5.3 Somatosensory Amplification and Vigilance

Individuals with hypochondriasis allocate disproportional attentional resources toward internal visceral sensations. Normal autonomic fluctuations, benign musculoskeletal aches, and homeostatic shifts that are routinely filtered out by the healthy sensory gatekeeper are intensely monitored, magnified, and cognitively interrogated. The HAI measures this persistent, hyper-focused self-surveillance and the belief that failing to maintain constant vigilance constitutes dangerous negligence.

5.4 Safety-Seeking Behaviors: Reassurance Seeking and Avoidance

Behavioral expressions of health anxiety represent paradoxical maintenance mechanisms. The construct incorporates two opposing yet functionally identical safety strategies:

• Active Checking and Reassurance Seeking: Manifested as repeated consultations with primary care providers and medical specialists, demands for diagnostic neuroimaging or blood panels, interrogating friends and family regarding symptoms, manual physical palpation (e.g., feeling lymph nodes, checking pulse rates), and compulsive online symptom searching (cyberchondria).
• Avoidance: Manifested as avoiding hospitals, medical literature, obituaries, television documentaries depicting cancer, or physical exertion that mimics cardiovascular activation, driven by the magical belief that exposure will provoke the feared condition.

5.5 Dysfunctional Health Beliefs and Metacognitive Assumptions

As captured systematically within the Health Anxiety Beliefs Questionnaire (HABQ), the psychological construct involves explicit maladaptive assumptions regarding medical fallibility, personal responsibility, and the nature of thought itself. These include the conviction that bodily health is a dichotomous state of complete symptomlessness, that any unexpected somatic sensation warrants urgent medical evaluation, that failing to notice every symptom represents personal culpability, and metacognitive beliefs that thinking about an illness increases the probability of acquiring it (thought-action or thought-illness fusion).

6. Theoretical Framework

The theoretical scaffolding underpinning the Health Anxiety Inventory is rooted in the cognitive-behavioral formulation of hypochondriasis established by Paul M. Salkovskis (1989) and further refined by Warwick and Salkovskis (1990), resting on the cognitive foundations laid down by Aaron T. Beck and David M. Clark.

6.1 The Cognitive-Behavioral Formulation of Health Anxiety

In the cognitive-behavioral model, health anxiety is not conceptualized as a primary psychiatric delusion or an irremediable personality deficit, but rather as an enduring cognitive vulnerability characterized by dysfunctional core beliefs regarding bodily health, disease, and medical fallibility. These core beliefs are typically forged through early developmental learning experiences, such as personal history of severe childhood illness, death or prolonged suffering of a parent, or immersion in a family environment characterized by hyper-vigilant somatic overprotection.

The cognitive model posits that the perceived threat of illness is a multiplicative function structured around four cognitive appraisal components, algebraically represented as:

Perceived Anxiety / Threat = (Perceived Likelihood of Illness × Perceived Awfulness of Illness) / (Perceived Coping Capacity + Perceived Rescue Factors [Medical Efficacy])

Under this theoretical framework, anxiety spirals out of control when an individual simultaneously inflates the likelihood of disease and its catastrophic cost, while drastically underestimating their innate psychological coping mechanisms and the efficacy of modern medical interventions.

6.2 The Vicious Cycle of Somatic Interpretation

The maintenance of health anxiety proceeds through a closed, self-perpetuating cognitive-affective-behavioral feedback loop:

1. Trigger: An internal trigger (e.g., an irregular heartbeat, musculoskeletal pain, fatigue) or external trigger (e.g., a media broadcast about cancer, a medical diagnosis received by a peer) occurs.
2. Catastrophic Misinterpretation: The individual applies deeply rooted dysfunctional beliefs to interpret the trigger not as a benign somatic artifact, but as a sign of catastrophic organic disease.
3. Affective and Autonomic Arousal: This appraisal immediately generates acute anxiety, triggering the sympathetic nervous system (fight-or-flight response). Sympathetic activation produces tachycardia, tachypnea, dizziness, peripheral numbness, muscle tension, and gastrointestinal distress.
4. Perceptual Confirmation: The physiological symptoms of anxiety are seized upon by the individual as physical “proof” that their catastrophic hypothesis is correct, further magnifying panic and somatic scanning.
5. Safety-Seeking and Reassurance Behaviors: The patient engages in checking, doctor-shopping, or excessive reassurance seeking. While reassurance temporarily reduces distress, it paradoxically reinforces the underlying cognitive appraisal (confirming that the symptom was indeed worthy of acute alarm) and prevents the natural disconfirmation of danger beliefs.

The HAI was designed explicitly to map directly onto this theoretical infrastructure, measuring each quadrant of the model to facilitate individualized case formulations and direct therapeutic intervention targeting the cognitive and behavioral loops maintaining the disorder.

7. Validity

The psychometric validity of the Health Anxiety Inventory and its abbreviated versions has been thoroughly examined across diverse international clinical, non-clinical, and general hospital cohorts.

7.1 Construct and Structural Validity

Salkovskis et al. (2002) established construct validity by demonstrating that the HAI successfully discriminates between patients meeting DSM-IV criteria for hypochondriasis, patients with diagnosed anxiety disorders (such as panic disorder and obsessive-compulsive disorder), patients with confirmed severe medical pathology (e.g., renal disease, chronic pain), and healthy controls. The full HAI and the Short HAI (SHAI) demonstrate substantial differences across clinical and non-clinical samples: patients with hypochondriasis score markedly higher than patients with documented organic medical illness, confirming that the scale assesses cognitive interpretation rather than objective physical disability.

7.2 Convergent Validity

The convergent validity of the HAI is exceptionally robust. In the initial validation cohorts (Salkovskis et al., 2002), the SHAI demonstrated intense positive correlations with established health anxiety measures, including the Illness Attitude Scales (Kellner, 1986) with correlation coefficients ranging from r = .71 to .82, and the Whiteley Index (Pilowsky, 1967) with r = .66 to .78. In an influential validation study by Abramowitz, Deacon, and Valentiner (2007) evaluating the SHAI across non-clinical and clinical samples, SHAI total scores correlated strongly with the Beck Anxiety Inventory (BAI; r = .52 to .64) and bodily preoccupation measures, reinforcing that the scale accurately taps somatic anxiety processes.

7.3 Discriminant Validity

Crucially, the HAI maintains strong discriminant validity against generalized affective distress. While moderately associated with depressive symptoms on the Beck Depression Inventory (BDI; correlations typically ranging between r = .30 and .45), factor-analytic and structural equation models confirm that health anxiety operates as a construct distinct from negative affectivity or demoralization. Most importantly, when administered to populations with confirmed somatic conditions (e.g., diabetes, chronic arthritis), the core 14-item symptom section maintains baseline discriminant stability, failing to elevate spuriously as older somatic scales consistently did.

7.4 Predictive and Treatment Sensitivity Validity

The instrument has repeatedly proven to be extraordinarily sensitive to psychotherapeutic and pharmacological interventions. In large randomized controlled trials of cognitive therapy for hypochondriasis (e.g., Clark et al., 1998; Salkovskis et al., 2007; Hedman et al., 2011), the “week” version of the SHAI demonstrated high treatment sensitivity, registering large pre-to-post effect sizes (Cohen’s d often exceeding 1.2 to 1.8) that mirrored clinician-rated improvements on the Anxiety Disorders Interview Schedule (ADIS). Furthermore, prospective investigations demonstrate that elevated HAI baseline scores accurately predict heightened primary care utilization, unnecessary diagnostic medical procedures, and persistent somatic consultations over longitudinal follow-up intervals.

8. Reliability

Empirical evaluations of the Health Anxiety Inventory have documented exemplary reliability metrics across languages, demographics, and clinical strata.

8.1 Internal Consistency

The original psychometric validation by Salkovskis et al. (2002) yielded outstanding internal consistency coefficients across all tested cohorts:

• Full HAI (Main Symptom Section): Cronbach’s α ranged from .92 to .95 in clinical hypochondriacal cohorts, and from .89 to .93 in non-clinical student and community groups.
• Short Health Anxiety Inventory (SHAI 18-item total): Cronbach’s α consistently reaches .89 to .93 across psychiatric and primary care settings.
• SHAI Core Illness Likelihood Subscale (Items 1–14): Cronbach’s α values systematically span from .85 to .91, indicating highly unified item homogeneity without redundancy.
• SHAI Negative Consequences / Awfulness Subscale (Items 15–18): Given its brief 4-item span, it demonstrates respectable internal consistency, with α coefficients typically falling between .70 and .84 across studies (Abramowitz et al., 2007; Wheaton et al., 2012).
• Health Anxiety Beliefs Questionnaire (HABQ): Both the Frequency and Belief conviction scales demonstrate exceptional internal consistency, with Cronbach’s α values consistently exceeding .90.

8.2 Test-Retest Reliability

Stability across temporal intervals is a critical hallmark of the HAI. In stable non-clinical and waiting-list control groups, the test-retest reliability coefficient over a 2- to 3-week interval was documented at r = .90 (p < .001). Over a more extended 6-month interval, test-retest reliability remained high (r = .78 to .83) when using the “month/six-month” screening version, confirming that the traits measured represent enduring cognitive styles rather than transient emotional epiphenomena in the absence of targeted cognitive intervention.

9. Factor Analysis

The underlying factor structure of the Health Anxiety Inventory—particularly the widely used 18-item short version (SHAI)—has been subjected to extensive exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) across numerous independent empirical investigations.

9.1 Original Two-Factor Structure

In the foundational work of Salkovskis et al. (2002), principal component analysis with varimax rotation revealed an unambiguous two-factor solution for the 18-item instrument:

• Factor 1: Perceived Illness Likelihood / Health Preoccupation (Items 1–14): Captures thoughts regarding the high probability of illness, continuous somatic checking, inability to dismiss physical worries, and distress triggered by somatic ambiguity. All 14 items exhibited heavy primary factor loadings ranging from .48 to .78, with negligible cross-loadings.
• Factor 2: Perceived Awfulness / Negative Consequences of Illness (Items 15–18): Isolates hypothetical catastrophic appraisals regarding the psychological, functional, and somatic consequences of acquiring a debilitating illness. Item loadings on this distinct second factor ranged from .62 to .81.

9.2 Confirmatory Factor Analytic Replications and Alternative Models

Subsequent psychometric investigations have affirmed the superiority of this conceptual distinction, while exploring refined sub-dimensions:

• Abramowitz, Deacon, and Valentiner (2007): Conducted rigorous confirmatory factor analyses comparing one-factor, two-factor, and three-factor solutions. Their findings substantiated the robust fit of the two-factor model (Likelihood vs. Consequences), reporting excellent fit indices across a large clinical and non-clinical cohort (Root Mean Square Error of Approximation [RMSEA] = .05; Comparative Fit Index [CFI] = .95; Non-Normed Fit Index [NNFI] = .94).
• Alberts et al. (2013) and Wheaton et al. (2012): Investigated higher-order hierarchical models, establishing that while the two primary factors represent distinct cognitive elements, both load strongly onto a singular, overarching higher-order construct of general health anxiety. In some specialized populations, a three-factor structure parsing Factor 1 into “Illness Preoccupation” and “Symptom Awareness/Intolerance” has been observed, but the original two-factor model established by Salkovskis remains the gold-standard consensus in empirical psychopathology.

10. Instrument / Measurement Tool

The Health Anxiety Inventory operationalizes health anxiety measurement across structured formats tailored for specific clinical and research applications. Below is the comprehensive structural profile of the instrument family:

10.1 Structural Formats and Scale Types

• Instrument Designation: Health Anxiety Inventory (HAI) / Short Health Anxiety Inventory (SHAI) / Health Anxiety Beliefs Questionnaire (HABQ).
• Administration Modality: Self-report paper-and-pencil inventory or secure computerized/digital assessment.
• Primary Variants:
  • Full-Length HAI (64 items): Comprehensively surveys illness likelihood, catastrophic awfulness, avoidance behaviors, and reassurance-seeking habits. Intended primarily for extensive clinical research and deep phenotypic profiling.
  • Short HAI (18 items): The clinical workhorse consisting of the 14-item core illness likelihood/preoccupation index and the 4-item awfulness/consequences scale.
  • Temporal Versions:
    • “Week” Version: Prompts respondents regarding sensations and thoughts over the past 7 days. Designed specifically for repeated weekly outcome tracking during therapy.
    • “Month / Six-Month” Version: Evaluates symptoms across the preceding six months, mirroring the formal temporal duration criteria for hypochondriasis in DSM-IV and Illness Anxiety Disorder in DSM-5.
  • Health Anxiety Beliefs Questionnaire (HABQ): Measures specific underlying cognitive assumptions across two distinct contexts: Section 1 (Pre-consultation / Medical evaluation ideas) and Section 2 (Intrusive illness contemplation ideas).

10.2 Response Formats and Scoring Protocols

• Short Health Anxiety Inventory (SHAI) Response Format: Each item consists of a group of four statements scored on an ordinal 0 to 3 scale (ranging from 0 = low/no health anxiety to 3 = extreme health anxiety). The respondent selects the single statement that most accurately reflects their state.
• SHAI Scoring and Cutoffs:
  • Core Section (Items 1–14): Scored 0 to 42.
  • Awfulness Section (Items 15–18): Scored 0 to 12.
  • Total Score (Items 1–18): Scored 0 to 54.
  • Clinical Cutoff Scores: A total score of 18 or higher on the 18-item SHAI is widely recognized as the optimal screening threshold indicating clinically significant health anxiety warrants diagnostic evaluation. A cutoff score of 20 or higher is typically employed to identify clinical hypochondriasis / Illness Anxiety Disorder with optimal sensitivity (.85) and specificity (.88).
• Health Anxiety Beliefs Questionnaire (HABQ) Response Format:
  • Frequency Rating: Scored on a 5-point Likert scale (0 = “Idea never occurs”, 1 = “Idea rarely occurs”, 2 = “Idea occurs about half the time that I think about these symptoms”, 3 = “Idea usually occurs”, 4 = “Idea always occurs”).
  • Belief / Conviction Rating: Scored on an 11-point visual analog percentage scale from 0 to 100 in decade increments (0 = “I do not believe this idea at all”, 100 = “I am completely convinced that this idea is true”).
  • Scoring: Frequency and conviction dimensions are scored independently across Section 1 (Ideas when having symptoms about which one thinks of seeing a doctor; 21 items) and Section 2 (Ideas when having thoughts of developing a serious illness; 11 items). Items reflecting low-anxiety, normalized attitudes are reverse-coded or separated according to subscale directives.

11. Permissions & Fee and Test Year

• Year of Initial Publication: 2002 (Primary validation published in Psychological Medicine).
• Original Copyright Holders: Paul M. Salkovskis, Katharine A. Rimes, H. M. C. Warwick, and David M. Clark; Cambridge University Press.
• Academic and Clinical Permissions: The Health Anxiety Inventory and the Health Anxiety Beliefs Questionnaire were made accessible for clinical practice and non-commercial academic research. Salkovskis and colleagues widely distributed the scale via university repositories, including the King’s College London Department of Psychology and the Health Anxiety, Pain, and Insomnia (HAPI) research group.
• Licensing and Fee Structure: The instrument is non-commercial and public-access for research and clinical purposes; no royalty or licensing fee is required for non-funded academic use or individual patient care, provided proper academic attribution is maintained. Commercial digital platforms, pharmaceutical clinical trials, or commercial software integration require formal licensing and explicit written permission from the copyright owners and publisher.

12. References

Below is a comprehensive bibliography of foundational and contemporary peer-reviewed literature validating the Health Anxiety Inventory and the cognitive-behavioral model of hypochondriasis in APA 7th edition format:

• Abramowitz, J. S., Deacon, B. J., & Valentiner, D. P. (2007). The Short Health Anxiety Inventory: Psychometric properties and construct validity in a non-clinical sample. Cognitive Therapy and Research, 31(6), 871–883. https://doi.org/10.1007/s10608-006-9058-1
• Alberts, N. M., Hadjistavropoulos, H. D., Jones, S. L., & Sharpe, D. (2013). The Short Health Anxiety Inventory: A systematic review and meta-analysis. Journal of Anxiety Disorders, 27(1), 68–78. https://doi.org/10.1016/j.janxdis.2012.10.009
• Clark, D. M. (1986). A cognitive approach to panic. Behaviour Research and Therapy, 24(4), 461–470. https://doi.org/10.1016/0005-7967(86)90011-2
• Clark, D. M., Salkovskis, P. M., Hackmann, A., Wells, A., Fennell, M., & Gelder, M. (1998). Two psychological treatments for hypochondriasis: A randomised controlled trial. British Journal of Psychiatry, 173(3), 218–225. https://doi.org/10.1192/bjp.173.3.218
• Hedman, E., Ljótsson, B., Andersson, E., Rück, C., Andersson, G., & Lindefors, N. (2011). Internet-based cognitive behaviour therapy vs. cognitive behavioural group therapy for health anxiety: A randomised controlled trial. Psychotherapy and Psychosomatics, 80(5), 262–273. https://doi.org/10.1159/000323450
• Kellner, R. (1986). Somatization and hypochondriasis. Praeger Publishers.
• Pilowsky, I. (1967). Dimensions of hypochondriasis. British Journal of Psychiatry, 113(494), 89–93. https://doi.org/10.1192/bjp.113.494.89
• Salkovskis, P. M. (1989). Somatic problems. In K. Hawton, P. M. Salkovskis, J. Kirk, & D. M. Clark (Eds.), Cognitive behaviour therapy for psychiatric problems: A practical guide (pp. 235–276). Oxford University Press.
• Salkovskis, P. M., Rimes, K. A., Warwick, H. M. C., & Clark, D. M. (2002). The Health Anxiety Inventory: Development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychological Medicine, 32(5), 843–853. https://doi.org/10.1017/S0033291702005822
• Salkovskis, P. M., Warwick, H. M. C., & Deale, A. C. (2007). Cognitive-behavioral treatment for severe and persistent health anxiety (hypochondriasis): A trial of treatment with one-year follow-up. Cognitive Therapy and Research, 31(6), 843–860. https://doi.org/10.1007/s10608-007-9160-5
• Warwick, H. M. C., & Salkovskis, P. M. (1990). Hypochondriasis. Behaviour Research and Therapy, 28(2), 105–117. https://doi.org/10.1016/0005-7967(90)90023-C
• Wheaton, M. G., Abramowitz, J. S., Berman, N. C., Fabricant, L. E., & Olatunji, B. O. (2012). Psychological predictors of cyberchondria: Health anxiety, intolerance of uncertainty, and obsessive-compulsive symptoms. International Journal of Cognitive Therapy, 5(3), 333–346. https://doi.org/10.1521/ijct.2012.5.3.333

13. Items of the Scale

Below are the official items and rating protocols of the Health Anxiety Beliefs Questionnaire (HABQ) companion assessment, presented in its complete two-part, multi-section configuration assessing both frequency of occurrence and degree of cognitive conviction.