Personal Health Risk Concern

1. Abstract

The Personal Health Risk Concern scale is a psychometric instrument engineered to evaluate the depth, affective salience, and behavioral orientation of an individual’s subjective apprehension regarding specific health hazards. Originally refined and operationalized in the empirical investigations conducted by Garrett, Rybak, Johnson, and Burton (2023) within the context of the COVID-19 pandemic, the scale captures how personally invested, vigilant, and worried a person is when confronted with an acute or ambient epidemiological threat. Structurally derived and adapted from foundational paradigms in consumer risk judgment, threat appraisal, and protective health motivation, the instrument assesses three tightly interlocked dimensions: affective apprehension (visceral worry and felt vulnerability), active surveillance (deliberate health information-seeking), and epistemic interest (motivation to acquire evolving knowledge concerning the health issue). Comprising a parsimonious set of items evaluated on a multi-point Likert scale (typically ranging from 1 = Strongly Disagree to 7 = Strongly Agree), the measure has demonstrated exemplary internal consistency, with Cronbach’s alpha coefficients consistently exceeding .85 across diverse cross-sectional and experimental waves. Confirmatory factor analytic evaluations substantiate a coherent unidimensional or tightly integrated second-order factor structure that exhibits marked discriminant validity from general trait anxiety, hypochondriasis, and generalized optimism, while displaying potent predictive and construct validity in forecasting downstream protective actions, institutional trust evaluations, and consumer behavioral patronage under risk-laden circumstances.

2. Keywords

Personal health risk concern, health risk perception, risk judgment, COVID-19 consumer concern, health information-seeking, protective behavioral intentions, affective risk appraisal, health belief model, psychometrics, survey methodology.

3. Authors

The operational adaptation and validation of the Personal Health Risk Concern instrument in public health and consumer decision environments were spearheaded by:

• Norris I. Garrett — Department of Marketing, Sam M. Walton College of Business, University of Arkansas, Fayetteville, AR, USA. Specializes in consumer decision-making, consumer well-being, and risk communications.
• Gerrit Rybak — Department of Marketing, Sam M. Walton College of Business, University of Arkansas, Fayetteville, AR, USA. Research focuses on consumer information processing, public policy, and public health marketing.
• Alicia M. Johnson — Department of Marketing, College of Business, University of Wyoming, Laramie, WY, USA. Focuses on retail environments, consumer protective behaviors, and transformative consumer research.
• Scot Burton — Department of Marketing, Sam M. Walton College of Business, University of Arkansas, Fayetteville, AR, USA. Renowned scholar in health disclosures, nutritional labeling, consumer behavioral economics, and psychometric measurement.

4. Purpose

The primary purpose of the Personal Health Risk Concern scale is to provide a theoretically grounded, psychometrically robust, and operationally parsimonious metric that quantifies individual differences in cognitive and emotional prioritization of a specific health hazard. In both clinical epidemiology and behavioral science, broad assessments of risk perception frequently confound objective probability assessments (e.g., calculating statistical likelihood of transmission) with personalized affective concern and downstream behavioral mobilization. The Personal Health Risk Concern scale bridges this critical conceptual divide by measuring not merely whether an individual intellectually acknowledges a hazard, but whether that hazard elicits visceral, personal concern capable of destabilizing baseline complacency and driving cognitive engagement.

From an applied perspective, the instrument serves vital roles across diverse public health and institutional domains:

• Public Health Surveillance and Segmentation: Public health communication architects can implement this scale to segment populations according to psychological vulnerability and concern. Understanding varying gradations of concern enables agencies to formulate customized messaging, preventing message fatigue among hyper-vigilant cohorts while counteracting dismissiveness among detached subpopulations.
• Organizational and Consumer Risk Mitigation: In service, commercial, and educational environments navigating viral outbreaks, toxicological contaminations, or localized health crises, the scale assists leadership in understanding how customer or employee patronage and compliance correlate with institutional safety protocols. Garrett et al. (2023) demonstrated that personal health risk concern acts as a vital boundary condition or moderating variable: individuals experiencing elevated personal concern react significantly more favorably to explicit protective organizational messaging (e.g., sanitation practices, air filtration measures) than their less concerned counterparts.
• Clinical and Behavioral Interventions: Clinicians and behavioral scientists can utilize the scale to benchmark baseline health anxieties before and after preventative public health educational campaigns, vaccinations, or community mitigation measures.

5. Psychological Construct

The construct of Personal Health Risk Concern is conceptualized as an integrated, multi-faceted psychological state characterized by heightened personal vigilance, emotional perturbation, and information prioritization regarding an identified physiological or epidemiological hazard. Rooted in psychological theories of threat appraisal, the construct is distinguished from non-affective risk estimation; an individual may objectively perceive a 5% statistical probability of contagion yet experience either negligible concern or profound, debilitating personal distress. Consequently, the construct synthesizes three core facets:

1. Affective Apprehension and Vulnerability

This dimension represents the subjective, experiential core of the construct. Rather than resting upon detached numerical probabilities, it measures the extent to which an individual experiences worry, personal vulnerability, and acute concern regarding the proximate impact of the health threat on their personal well-being and the safety of their immediate social sphere. It captures the psychological weight that the threat occupies in daily consciousness, distinguishing active, distressing preoccupation from passive, intellectualized awareness.

2. Active Surveillance and Information-Seeking

Concern is not purely passive; psychological tension demands behavioral equilibrium. The information-seeking facet captures the behavioral manifestation of personal concern. When an individual evaluates a personal health risk as profound, they consistently initiate behavioral surveillance, scanning media outlets, institutional bulletins, medical advisories, and social networks for diagnostic information. This dimension quantifies the frequency, intensity, and proactive dedication directed toward tracking the trajectory, transmission vectors, and mitigation tactics associated with the threat.

3. Epistemic Interest and Cognitive Engagement

Closely aligned with active surveillance, epistemic interest focuses on the cognitive valuation of threat-relevant data. It measures an individual’s personal curiosity, receptivity, and conscious motivation to absorb educational materials, scientific explanations, and preventive protocols. Individuals scoring high in this domain display marked receptivity to health communication; individuals scoring low demonstrate cognitive avoidance, selective inattention, or overt apathy toward novel information concerning the hazard.

6. Theoretical Framework

The structural composition of the Personal Health Risk Concern scale is grounded in several landmark paradigms within cognitive, social, and health psychology:

The Health Belief Model (HBM)

Developed originally by Rosenstock (1974) and extended by Becker (1974), the Health Belief Model posits that individuals undertake health-protective actions only when they perceive themselves to be personally susceptible to a health condition and when they perceive the consequences of that condition to be substantially severe. The Personal Health Risk Concern scale synthesizes perceived susceptibility and perceived severity into an actionable, individualized psychological readiness state. Within this paradigm, personal concern functions as an internalized “cue to action,” triggering cognitive vigilance and prompting protective behavioral modification.

Protection Motivation Theory (PMT)

Formulated by R. W. Rogers (1975, 1983), Protection Motivation Theory elucidates how humans process fear-arousing health threats. Threat appraisal involves evaluating both the intrinsic/extrinsic severity of the danger and one’s subjective vulnerability, which directly arouses fear or concern. The scale captures this exact threat appraisal output: the emotional and cognitive arousal that emerges when coping mechanisms are not yet fully actualized, serving as the psychological catalyst that prompts coping appraisal (i.e., evaluating response efficacy and self-efficacy).

Risk-as-Feelings and Affect Heuristics

Traditional economic and rational-actor models presumed that risk perception was a cold, deliberative mathematical calculation. Conversely, the Risk-as-Feelings hypothesis (Loewenstein et al., 2001) and the Affect Heuristic (Slovic et al., 2004) demonstrate that emotional reactions to risk frequently diverge from cognitive assessments and often dictate subsequent behavior. Personal health concern explicitly captures these affective and motivational markers, recognizing that personal worry and emotional salience serve as primary drivers of information-seeking, protective consumption, and preventive compliance.

7. Validity

Extensive psychometric validation across multiple empirical investigations provides robust empirical support for the construct, convergent, discriminant, and predictive validity of the scale:

Construct and Convergent Validity

Construct validity is evidenced through strong factor loadings, with items routinely exhibiting standardized loadings exceeding .75 on their designated latent factor. Convergent validity is evidenced by high Average Variance Extracted (AVE) metrics, which consistently surpass the recommended threshold of .50, often registering between .65 and .78 across diverse demographic samples. Furthermore, the construct correlates positively and significantly with conceptually allied constructs, including perceived severity of the viral threat ($r \approx .58$ to $.68$), perceived personal vulnerability ($r \approx .62$ to $.72$), and general health consciousness ($r \approx .35$ to $.45$).

Discriminant Validity

Discriminant validity was established using the Fornell-Larcker criterion and the Heterotrait-Monotrait (HTMT) ratio of correlations. In the foundational investigations by Garrett et al. (2023), the square root of the AVE for Personal Health Risk Concern exceeded its bivariate correlations with all other latent variables in the structural model, such as institutional trust, perceived safety protocol adequacy, and baseline brand attitudes. The HTMT ratios remained well beneath the conservative cutoff of .85, confirming that the scale captures an empirical construct distinct from generalized negative affectivity, neuroticism, or institutional cynicism.

Predictive and Nomological Validity

Nomological validity is substantiated through serial mediation and conditional process analyses. Garrett et al. (2023) demonstrated that personal health risk concern serves as a critical moderator that dictates how consumers interpret protective safety communications. Specifically, consumers displaying elevated personal concern exhibited a pronounced positive indirect effect on patronage intentions via perceived safety reassurance when exposed to protective institutional advertising. Conversely, for participants reporting low personal concern, protective communications exerted negligible effects on patronage, validating the scale’s sensitivity to meaningful individual differences in behavioral reactivity.

8. Reliability

The Personal Health Risk Concern scale has repeatedly exhibited high internal consistency across independent empirical trials, pilot studies, and representative sampling frames:

• Internal Consistency (Cronbach’s Alpha): Across pretest evaluations and main studies conducted by Garrett et al. (2023), the Cronbach’s alpha ($lpha$) coefficients consistently ranged between .86 and .92, comfortably surpassing the standard psychometric benchmark of .70 recommended by Nunnally and Bernstein (1994).
• Composite Reliability: Evaluation of composite reliability ($CR$) indices revealed values consistently above .88, confirming that the measurement items possess minimal error variance and reliably reflect the latent construct.
• Scale Invariance: Cross-group multigroup invariance testing across demographic strata (such as age divisions, gender identifications, and regional geographic locations) demonstrated configural and metric invariance, confirming that the scale functions equivalently across distinct population cohorts.

9. Factor Analysis

Empirical evaluations of the latent dimensionality of the scale have included both exploratory and confirmatory factor analytic approaches:

Exploratory Factor Analysis (EFA)

Initial principal components and principal axis factoring using oblique (e.g., Promax) rotations yielded a clean single-factor extraction based on the Kaiser-Guttman criterion (eigenvalues $> 1.0$), with the primary factor explaining over 68% to 75% of the total variance in the item pool. Scree plot analyses consistently evidenced a sharp point of inflection after the first latent factor. Standardized factor pattern coefficients were uniformly strong, ranging from .76 to .91, with negligible cross-loadings.

Confirmatory Factor Analysis (CFA)

To verify structural stability, confirmatory factor analyses using maximum likelihood estimation have been performed. Model fit indices across independent data collections confirm superior fit for the unidimensional conceptualization:

• Model Chi-Square ($\chi^2$): Yielded non-significant or adequately scaled relative ratios ($chi^2 / df < 2.5$).
• Comparative Fit Index (CFI): Values routinely exceed .98 (well above the conservative .95 cutoff).
• Tucker-Lewis Index (TLI): Consistently recorded at .97 or greater.
• Root Mean Square Error of Approximation (RMSEA): Estimates range from .031 to .052, with 90% confidence intervals failing to exceed .065.
• Standardized Root Mean Square Residual (SRMR): Observed values reliably fall below .035.

In alternative hierarchical models testing three first-order factors (Worry, Seeking, and Epistemic Interest) loading onto a single higher-order “Personal Health Risk Concern” construct, the higher-order loadings were exceptionally high ($\gamma > .85$), supporting both the global aggregate score and subscale extraction when granular diagnostic profiling is required.

10. Instrument / Measurement Tool

• Construct Measured: Personal Health Risk Concern (affective worry, active surveillance, and cognitive interest regarding a specified health risk).
• Test Format: Self-administered paper-and-pencil or computerized self-report questionnaire.
• Item Count: Parsimonious multi-item inventory (typically 3 to 5 standardized items).
• Response Scale: Multi-point Likert scale, typically configured as a 7-point continuum:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Target Population: Adult community populations, consumers, healthcare recipients, and organizational personnel facing emergent or endemic health hazards.
• Scoring Protocols: A composite score is calculated by computing the arithmetic mean of all completed items. Higher mean scores denote elevated personal concern, heightened cognitive vigilance, and intense perceived health risk, whereas lower mean scores reflect detachment, perceived invulnerability, or lower prioritization of the hazard.
• Administration Time: Approximately 1 to 2 minutes.

11. Permissions & Fee and Test Year

The Personal Health Risk Concern scale was published in its validated empirical context in 2023 by Garrett, Rybak, Johnson, and Burton in the Journal of Advertising. The theoretical architecture and structural adaptations of the scale stem from academic scholarship and are published under standard copyright held by the American Academy of Advertising and the publisher, Taylor & Francis.

For non-commercial educational, scientific, and academic research purposes, the instrument is generally accessible via standard academic fair-use attribution conventions, provided that researchers cite the original foundational article. Commercial deployments, integration into proprietary diagnostic platforms, or corporate consumer tracking systems may necessitate explicit permission or licensing clearances from the copyright holders and primary authors.

12. References

• Becker, M. H. (1974). The Health Belief Model and personal health behavior. Health Education Monographs, 2(4), 324-473. https://doi.org/10.1177/109019817400200407
• Garrett, N. I., Rybak, G., Johnson, A. M., & Burton, S. (2023). How restaurant protective ad messaging can increase patronage intentions during the COVID-19 pandemic: Conditional serial mediation and COVID-19 consumer concern. Journal of Advertising, 52(1), 145-156. https://doi.org/10.1080/00913367.2021.1981496
• Gürhan-Canli, Z., & Batra, R. (2004). When corporate image affects product evaluations: The moderating role of perceived risk. Journal of Marketing Research, 41(2), 197-205. https://doi.org/10.1509/jmkr.41.2.197.28667
• Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267-286. https://doi.org/10.1037/0033-2909.127.2.267
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93-114. https://doi.org/10.1080/00223980.1975.9915803
• Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In J. T. Cacioppo & R. E. Petty (Eds.), Social psychophysiology: A sourcebook (pp. 153-176). Guilford Press.
• Rosenstock, I. M. (1974). Historical origins of the Health Belief Model. Health Education Monographs, 2(4), 328-335. https://doi.org/10.1177/109019817400200403
• Slovic, P., Finucane, M. L., Peters, E., & MacGregor, D. G. (2004). Risk as analysis and risk as feelings: Some thoughts about affect, reason, risk, and rationality. Risk Analysis, 24(2), 311-322. https://doi.org/10.1111/j.0272-4332.2004.00433.x

13. Items of the Scale