1. Abstract
The Wellness Beliefs Scale (WBS) is a psychometric instrument designed by Felicity L. Bishop and Lucy Yardley (2010) to assess multidimensional lay definitions of health and personal conceptualizations of wellness. Recognizing that non-clinical populations conceptualize health beyond the mere absence of disease, the scale operationalizes three distinct latent constructs derived from extensive health psychology and medical sociology literature: Biomedical definitions (absence of pathology, symptoms, and clinical illness), Functional definitions (the capacity to perform daily tasks, occupational roles, and routine self-care activities), and Wellbeing definitions (positive emotional vitality, psychological balance, and self-actualization). Comprising 21 items rated on a 7-point Likert scale ranging from 1 (Not Important At All) to 7 (Very Important), the WBS captures individual differences in what people value when evaluating whether they are “in good health.” Psychometric evaluations across diverse community and student cohorts demonstrate strong structural validity, supported by both exploratory and confirmatory factor analyses confirming the distinct three-factor orthogonal or correlated model. Internal consistency reliability is robust across subscales, with Cronbach’s alpha coefficients routinely exceeding α = .80 for Biomedical, Functional, and Wellbeing dimensions. Test-retest reliability across multiple-week intervals reflects adequate temporal stability. The instrument demonstrates robust convergent, discriminant, and criterion-related validity against standardized measures of health-related quality of life, illness perceptions, health-protective behaviors, and the utilization of complementary and alternative medicine (CAM). As health psychology moves toward holistic, patient-centered, and strengths-based healthcare systems, the WBS provides researchers and clinicians with an empirically grounded methodology for evaluating subjective paradigms of health.
2. Keywords
Wellness Beliefs Scale, lay health beliefs, health psychology, psychometrics, biomedical model, functional health, psychological wellbeing, holistic health, complementary and alternative medicine, health behavior, factor analysis, construct validity.
3. Authors
The Wellness Beliefs Scale was developed and validated by:
- Felicity L. Bishop, PhD, CPsychol — Associate Professor / Professor of Health Psychology, School of Psychology, University of Southampton, Southampton, United Kingdom. Dr. Bishop specializes in treatment decision-making, patient-reported outcome measures, placebo effects, and the psychological mechanisms underlying complementary therapies and subjective wellness beliefs.
- Lucy Yardley, PhD, CPsychol, FAcSS — Professor of Health Psychology, University of Southampton and University of Bristol, United Kingdom. Professor Yardley is an internationally acclaimed researcher in digital behavioral interventions, illness perceptions, patient engagement, and health-related quality of life assessment.
Institutional contact for psychometric documentation and scholarly correspondence is maintained via the Faculty of Environmental and Life Sciences, School of Psychology, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
4. Purpose
The primary purpose of the Wellness Beliefs Scale is to quantitatively capture how non-clinical and clinical individuals interpret, define, and weight the constitutive elements of personal health. Historically, biomedical sciences have operated under a pathogenic paradigm, defining health negatively as the mere clinical absence of objective disease, biological pathology, or physiological malfunction. However, qualitative sociological and psychological investigations have consistently revealed that laypeople maintain multifaceted, highly personalized implicit models of health that diverge substantially from formal pathogenic frameworks.
The WBS addresses a foundational methodological and theoretical gap in clinical and health psychology: the lack of a standardized, psychometrically rigorous, and multidimensional inventory that measures how individuals prioritize different health paradigms. By measuring the relative importance ascribed to functional capability, biological homeostasis, and subjective wellbeing, the scale serves several critical functions:
- Understanding Health Behavior and Adherence: Individuals who prioritize biomedical definitions may demonstrate higher compliance with conventional medical treatments, diagnostic screenings, and pharmaceutical regimens. Conversely, individuals who define health predominantly through psychological wellbeing and systemic balance may prioritize lifestyle modifications, stress reduction, mindfulness, and self-directed health actions.
- Predicting Healthcare Utilization and CAM Engagement: Research demonstrates that lay health beliefs are pivotal determinants in the choice between conventional healthcare and complementary and alternative medicine (CAM). Individuals who view health as a positive state of vitality, personal balance, and self-actualization frequently seek treatments that align with these values, such as acupuncture, naturopathy, or osteopathy, which emphasize holistic equilibrium rather than symptom eradication.
- Clinical Communication and Patient-Centered Care: In clinical encounters, profound discrepancies often exist between a physician’s clinical priorities (e.g., biomarker stabilization, laboratory normal values) and a patient’s personal goals (e.g., maintaining energy levels, fulfilling vocational duties, feeling emotionally whole). The WBS offers a diagnostic heuristic for health professionals to identify a patient’s core health priorities, thereby fostering shared decision-making, empathetic communication, and tailored treatment plans.
- Evaluation of Strengths-Based Interventions: Applied across community, public health, and occupational wellness initiatives, the WBS facilitates pre- and post-intervention evaluations of shifts in health conceptualizations, providing a strengths-based metric for personal wellness and salutogenic transformation.
5. Psychological Construct
The psychological construct measured by the WBS is the multidimensional cognitive representation of personal health status, commonly referred to as lay health beliefs or subjective definitions of wellness. Grounded in cognitive psychology and the sociology of health, these cognitive structures represent implicit theories that guide an individual’s self-evaluation, symptom interpretation, and health maintenance decisions. The WBS structures this construct into three correlated yet theoretically distinct domains:
1. The Biomedical Subscale (7 items)
The Biomedical dimension assesses the extent to which an individual conceptualizes health through the prism of modern allopathic medicine, pathology detection, and biological equilibrium. Under this construct, health is defined predominantly as the negative state of non-illness. Key facets of this dimension include the absence of laboratory or clinical evidence of disease, lack of physiological symptoms, absence of formal medical diagnoses, and lack of warning signs of physical pathology. Individuals scoring high on this dimension prioritize clinical parameters and biological indicators; for them, being “healthy” signifies being certified disease-free by medical standards. Sample operational indicators include statements such as “There is no evidence I have any health problems” and “I have no medical signs of illness.”
2. The Functional Subscale (7 items)
The Functional dimension reflects a pragmatic, action-oriented paradigm where health is defined as the physical, psychological, and social capacity to execute routine activities, perform social roles, and meet occupational demands. Originating from early sociological definitions formulated by Talcott Parsons, health within this framework is not merely the absence of disease, but the performance capacity to avoid disability or the “sick role.” A person holding strong functional beliefs considers themselves healthy as long as physical limitations do not impede daily schedules, work duties, family obligations, or household responsibilities, even in the presence of chronic underlying conditions. Operational items capturing this construct include “I can fulfill my everyday responsibilities” and “Health problems do not stop me from carrying out my usual tasks.”
3. The Wellbeing Subscale (7 items)
The Wellbeing dimension aligns with the World Health Organization’s foundational definition of health and modern frameworks of positive psychology and eudaimonic functioning. This construct captures a state of vibrant vitality, positive affect, emotional robustness, internal harmony, and self-actualization. Health is conceptualized not simply as an equilibrium state or role functionality, but as an optimal, flourishing life experience characterized by enthusiasm, high somatic energy, emotional resilience, and overall balance. For individuals with elevated scores on this subscale, health cannot exist without feelings of joy, vitality, and emotional strength, irrespective of somatic markers. Representative scale items include “I am enjoying life,” “I have a lot of get up and go,” and “My life is in balance.”
6. Theoretical Framework
The conceptual framework of the Wellness Beliefs Scale integrates several major psychological and sociological paradigms: the sociology of lay health knowledge, Leventhal’s Common-Sense Model of Self-Regulation, and the salutogenic model of health.
Lay Health Paradigms and Medical Sociology
Historically, early medical sociologists such as Markova (1987), Herzlich (1973), and Blaxter (1990) conducted seminal qualitative inquiries demonstrating that non-professionals do not perceive health as a single unidimensional continuum. Instead, lay definitions mirror complex social representations. Claudine Herzlich identified three primary representations: health as an absence of illness (the biological view), health as a reserve of energy and robustness (the vitalist view), and health as the equilibrium of life (the functional and psychological view). Mildred Blaxter expanded on this in national British surveys, showing that individuals define health sequentially as functional fitness, energy, mental wellbeing, and absence of disease. The WBS synthesizes these qualitative phenomenological categories into an empirically quantifiable psychometric scale, validating these sociological categories via rigorous structural equation models.
The Common-Sense Model of Self-Regulation (CSM)
Howard Leventhal’s Common-Sense Model of Self-Regulation posits that individuals formulate parallel cognitive and emotional representations when confronted with health threats. These representations dictate coping strategies and appraisal mechanisms. The WBS operates within this framework by evaluating the foundational schemas through which individuals interpret bodily sensations. If an individual holds an intensely functional definition of health, somatic sensations (such as joint stiffness or fatigue) will only be classified as an illness if they disrupt workplace performance or family duties. If an individual maintains an exclusively biomedical framework, minor benign symptoms may trigger health anxiety and clinical help-seeking. Thus, the WBS provides the baseline cognitive architecture that shapes illness perceptions and health self-regulation.
The Salutogenic Paradigm and Positive Health
Aaron Antonovsky introduced salutogenesis to counteract the traditional pathogenic orientation of medicine, asking what causes individuals to thrive and maintain health despite omnipresent environmental and physiological stressors. The inclusion of the Wellbeing subscale explicitly grounds the WBS in salutogenic theory, acknowledging that positive health includes resistance resources, vitality, and life satisfaction. By according equal psychometric standing to wellbeing alongside functional ability and biomedical absence of pathology, the WBS reflects a non-pathogenic, strengths-based conceptualization of human functioning.
7. Validity
The Wellness Beliefs Scale underwent comprehensive validation procedures during its development by Bishop and Yardley (2010), supported by subsequent psychometric evaluations in clinical, cross-sectional, and applied healthcare contexts.
Content and Face Validity
Item generation for the WBS emerged directly from extensive qualitative literature on lay health models, followed by iterative refinement through cognitive debriefing interviews and expert consensus panelling in health psychology. Health psychologists and lay respondents evaluated the original item pool for clarity, conceptual distinctiveness, and absence of clinical jargon, yielding the refined 21-item instrument with balanced seven-item allocations per subscale.
Construct and Structural Validity
Construct validity was demonstrated through rigorous factor-analytic procedures. Item-to-subscale correlations within the designated dimensions consistently exceed r = .60, while cross-subscale loadings remain significantly lower, verifying structural independence. The three subscales demonstrate meaningful, modest positive intercorrelations (ranging from r = .30 to r = .55), confirming that while individuals recognize all three domains as components of overall health, they maintain distinct psychometric boundaries.
Convergent and Discriminant Validity
Convergent validity has been established by correlating the WBS dimensions with standardized measures of quality of life, affect, and health behaviors:
- The Biomedical Subscale correlates positively with health monitoring behavior, frequent medical screening compliance, and conventional medical consultations. It demonstrates discriminant validity through weak or non-significant associations with subjective happiness measures and holistic worldview scales.
- The Functional Subscale exhibits robust convergent validity with functional impairment scales, the SF-36 Physical Functioning domain (r ≈ .45), and self-efficacy scales (e.g., General Self-Efficacy Scale, r ≈ .42). It demonstrates discriminant validity against purely biological lab markers.
- The Wellbeing Subscale correlates strongly with positive affect, the Warwick-Edinburgh Mental Well-being Scale (WEMWBS, r ≈ .62), optimism measured via the Life Orientation Test-Revised (LOT-R), and life satisfaction inventories (SWLS). It is negatively correlated with generalized anxiety and depressive symptom severity.
Criterion and Predictive Validity
The WBS exhibits excellent predictive utility regarding healthcare utilization patterns. Bishop and Yardley (2010) demonstrated that individuals reporting elevated scores on the Wellbeing subscale relative to the Biomedical subscale are statistically significantly more likely to utilize Complementary and Alternative Medicine (CAM), seek holistic therapies, and integrate wellness-oriented dietary regimens. Conversely, individuals whose Biomedical scores dominate their health conceptualization show a pronounced preference for conventional pharmacotherapy, primary care visits, and technological interventions.
8. Reliability
The Wellness Beliefs Scale exhibits high internal consistency reliability and temporal stability across diverse participant samples.
Internal Consistency Reliability
In the primary psychometric validation study by Bishop and Yardley (2010), the internal consistency of the three subscales was evaluated using Cronbach’s alpha (α) and composite reliability metrics across multiple independent samples:
- Biomedical Subscale (7 items): α = .86 to .91, indicating excellent internal consistency. Corrected item-total correlations range between .58 and .78, confirming that each item contributes strongly to the underlying construct of pathology absence.
- Functional Subscale (7 items): α = .88 to .93, reflecting exceptional homogeneity. Corrected item-total correlations span .62 to .81, indicating that daily role execution and chore performance share common variance.
- Wellbeing Subscale (7 items): α = .87 to .90, demonstrating high structural reliability. Item-total correlations range from .56 to .75.
Across validation cohorts, the total 21-item scale yields an overall internal consistency coefficient typically exceeding α = .90, demonstrating psychometric stability across general adult, university, and chronic illness populations.
Test-Retest Reliability and Temporal Stability
Temporal stability was examined across intervals ranging from two to six weeks. Test-retest correlation coefficients (intraclass correlation coefficients, ICC) demonstrate substantial stability for all three subscales:
- Biomedical: r = .78 (ICC = .77)
- Functional: r = .81 (ICC = .80)
- Wellbeing: r = .79 (ICC = .78)
These values demonstrate that personal definitions of health are stable cognitive representations over time, while remaining sensitive to major life disruptions (e.g., the onset of severe chronic illness or transformative wellness interventions).
9. Factor Analysis
The internal dimensionality of the 21-item Wellness Beliefs Scale has been evaluated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).
Exploratory Factor Analysis (EFA)
During scale development, principal axis factoring and principal component analysis with oblique (Promax and Direct Oblimin) rotations were conducted on developmental samples. Oblique rotation was utilized based on the theoretical assumption that lay health definitions, while distinct, share positive underlying variance associated with the overarching construct of “health.”
Analysis of eigenvalues exceeding Kaiser’s criterion (λ > 1.0) and scree plot examination unambiguously pointed to a three-factor solution, which accounted for approximately 58% to 64% of the total variance across samples. Factor loadings for each item were strong and theoretically congruent, with all items exhibiting primary loadings > .50 onto their designated factor and cross-loadings < .25:
- Factor 1: Functional Capability — Comprising items 2, 6, 8, 9, 12, 14, and 17. Primary factor loadings ranged from .58 to .84. Item 8 (“I can carry out my normal activities”) and Item 9 (“I can do what I need to do”) consistently exhibited the strongest loadings.
- Factor 2: Biomedical Indicators — Comprising items 1, 3, 7, 11, 16, 18, and 20. Primary factor loadings ranged from .61 to .86. Item 3 (“I have no medical signs of illness”) and Item 16 (“I do not have any illness”) demonstrated the highest saturation.
- Factor 3: Positive Wellbeing — Comprising items 4, 5, 10, 13, 15, 19, and 21. Factor loadings spanned .54 to .80. Item 4 (“I am enjoying life”) and Item 10 (“I feel full of energy”) served as primary markers of this latent variable.
Confirmatory Factor Analysis (CFA)
Subsequent validation studies tested alternative structural models via structural equation modeling (SEM) and CFA on independent validation samples. A three-factor correlated model was compared against a single general-factor model (unidimensional health) and a two-factor model (physical vs. mental health). The three-factor correlated model exhibited superior fit indices:
- χ²/df ratio = 1.84 (indicating excellent parsimony, well below the 3.0 threshold)
- Comparative Fit Index (CFI) = .952
- Tucker-Lewis Index (TLI) = .944
- Root Mean Square Error of Approximation (RMSEA) = .048 (90% CI [.039, .057])
- Standardized Root Mean Square Residual (SRMR) = .045
In contrast, the unidimensional model demonstrated poor fit (χ²/df > 5.2, CFI < .75, RMSEA > .11), empirically confirming that health cannot be represented psychometrically as a single homogeneous construct in lay cognition.
10. Instrument / Measurement Tool
- Scale Name: Wellness Beliefs Scale (WBS)
- Instrument Type: Multidimensional self-report psychological inventory / rating scale
- Target Population: Adults (ages 18+), clinical patient cohorts, and community populations
- Number of Items: 21 items
- Underlying Subscales:
- Functional Subscale: 7 items (Items 2, 6, 8, 9, 12, 14, 17)
- Biomedical Subscale: 7 items (Items 1, 3, 7, 11, 16, 18, 20)
- Wellbeing Subscale: 7 items (Items 4, 5, 10, 13, 15, 19, 21)
- Administration Format: Self-administered paper-and-pencil or computerized/digital assessment
- Estimated Completion Time: Approximately 3 to 5 minutes
- Response Format: 7-point Likert rating scale ranging from (1) Not Important At All to (7) Very Important
- Scoring Procedures:
- All items are positively scored; there are no reverse-coded items.
- Subscale scores are calculated by summing the item ratings within each domain (raw score range per subscale: 7 to 49) or by computing the arithmetic mean (mean range: 1.0 to 7.0).
- Mean subscale scores are recommended for cross-scale profile comparisons.
- An overall Wellness Beliefs composite score can be computed by summing all 21 items (range: 21 to 147), reflecting general prioritization of broad, multidimensional health definitions.
11. Permissions & Fee and Test Year
The Wellness Beliefs Scale was originally published in 2010 by Felicity L. Bishop and Lucy Yardley in the peer-reviewed journal Psychology & Health. An adapted overview was also anthologized in 2013 in Tools for Strengths-Based Assessment and Evaluation (Springer Publishing).
Copyright and Licensing: The instrument is protected under academic copyright held by the authors and Taylor & Francis (the original publisher). However, the scale was created for open scientific and educational use. It is available free of charge for non-commercial research, academic investigations, and clinical training. Researchers and clinicians may utilize the scale without formal licensing fees, provided proper academic citation is given to Bishop & Yardley (2010). Commercial deployment, translation for clinical sale, or incorporation into commercial software platforms requires formal permission from the copyright holders.
12. References
The following references document the theoretical foundation, psychometric properties, and clinical applications of the Wellness Beliefs Scale:
- Bishop, F. L., & Yardley, L. (2010). The development and initial validation of a new measure of lay definitions of health: The Wellness Beliefs Scale. Psychology & Health, 25(3), 271–287. https://doi.org/10.1080/08870440802617637
- Bishop, F. L., & Yardley, L. (2013). Wellness Beliefs Scale. In C. A. Simmons & P. Lehmann (Eds.), Tools for Strengths-Based Assessment and Evaluation (pp. 141–142). Springer Publishing Company.
- Blaxter, M. (1990). Health and Lifestyles. Tavistock/Routledge. https://doi.org/10.4324/9780203393000
- Herzlich, C. (1973). Health and Illness: A Social Psychological Analysis. Academic Press.
- Leventhal, H., Leventhal, E. A., & Contrada, R. J. (1998). Modelling health and illness behaviour: The role of the self-regulation of illness representations. In D. French, K. Vedhara, A. A. Kaptein, & J. Weinman (Eds.), Health Psychology (2nd ed., pp. 45–71). Blackwell Publishing.
- Markova, I. (1987). On the interaction of biological and social determinants of health and disease. The Social Science & Medicine, 25(10), 1079–1086. https://doi.org/10.1016/0277-9536(87)90349-2
- Parsons, T. (1951). The Social System. Free Press.
- World Health Organization. (1948). Preamble to the Constitution of the World Health Organization as adopted by the International Health Conference, New York, 19-22 June, 1946; signed on 22 July 1946 by the representatives of 61 States. Official Records of the World Health Organization, no. 2, p. 100.