Perceived Temporal Distance of Health Risk (PTDHR)

Abstract

The Perceived Temporal Distance of Health Risk (PTDHR) scale is a specialized psychometric instrument developed by Mitchel R. Murdock and Priyali Rajagopal (2017) to quantify individuals’ subjective assessments of how temporally proximate or remote a future health threat feels. While classical public health models frequently assume that chronological time dictates risk perception, contemporary cognitive psychology demonstrates that psychological distance diverges markedly from calendar time. Grounded in Construal Level Theory (CLT), the PTDHR operationalizes temporal distance as a critical cognitive mediator through which warning messages, health communications, and risk attributes influence self-protective behavioral intentions.

The scale consists of three tightly focused items evaluated along a high-resolution, 101-point continuous response format (ranging from 0 to 100). This continuous visual analogue or slider structure affords superior psychometric sensitivity compared to traditional five- or seven-point Likert scales, minimizing discretization error, preventing range restriction, and capturing nuanced shifts in subjective temporal appraisal. Across five empirical studies spanning diverse health contexts—including periodontal disease (gingivitis), obesity, oral malignancies, melanoma, and ultraviolet dermatological damage—the PTDHR demonstrated robust unidimensionality, high internal consistency (Cronbach’s alpha coefficients consistently exceeding .88, often surpassing .94), and exceptional convergent, discriminant, and predictive validity.

By measuring the perceived temporal horizon of somatic and physiological consequences, the PTDHR illuminates why individuals frequently discount severe, long-term health risks while remaining highly responsive to immediate threats. The instrument serves as an indispensable tool for behavioral researchers, health psychologists, public health policy analysts, and social marketers seeking to optimize preventative health messaging, mitigate cognitive temporal discounting, and bridge the intention-behavior gap in preventive healthcare.

Keywords

perceived temporal distance, health risk perception, Construal Level Theory, health communication, temporal discounting, psychometrics, risk appraisal, warning messages, behavioral medicine, continuous response scale, preventive behavior

Authors

The Perceived Temporal Distance of Health Risk (PTDHR) scale was formulated and validated by scholars in consumer behavior and behavioral decision-making:

• Mitchel R. Murdock, Ph.D. — Associate Professor of Marketing, Woodbury School of Business, Utah Valley University (formerly doctoral candidate and researcher at the Darla Moore School of Business, University of South Carolina). His research centers on consumer welfare, health communication, risk messaging, and behavioral decision theory.
• Priyali Rajagopal, Ph.D. — Professor of Marketing, G. Brint Ryan College of Business, University of North Texas (formerly Associate Professor at the Darla Moore School of Business, University of South Carolina). Her scholarship focuses on consumer memory, sensory marketing, health marketing, and the cognitive mechanisms underlying risk appraisal.

Purpose

Preventive health interventions consistently confront a central behavioral paradox: human beings regularly engage in behaviors that carry catastrophic long-term physiological consequences (such as tobacco consumption, unprotected ultraviolet exposure, poor nutrition, and dental neglect) despite possessing accurate factual knowledge of those outcomes. Foundational cognitive and economic paradigms, such as hyperbolic discounting and subjective expected utility theory, suggest that future negative utilities are systematically devalued when they are projected into the distant future. However, objective chronological distance does not directly govern behavior; rather, human action is steered by subjective temporal distance—the phenomenological sensation of how soon or far away an event feels in the actor’s cognitive space.

The primary purpose of the Perceived Temporal Distance of Health Risk (PTDHR) scale is to provide a psychometrically rigorous, highly sensitive operationalization of this subjective phenomenological horizon. Murdock and Rajagopal (2017) created this instrument to investigate how specific attributes of health warning messages—specifically the emphasis on immediate social consequences versus delayed physical consequences—systematically shift the perceived temporal proximity of severe health hazards, thereby heightening perceived risk and motivating preventative compliance.

From a clinical and research standpoint, the PTDHR fulfills several crucial functions:

• Evaluating Public Health Communication: It enables health communication designers, pharmaceutical marketers, and regulatory bodies (such as the U.S. Food and Drug Administration or the World Health Organization) to test whether educational campaigns successfully reduce psychological distance, transforming abstract, future-oriented threats into acute, actionable cognitive priorities.
• Deconstructing Cognitive Mechanisms: The scale functions as a validated mediator in experimental and epidemiological designs, allowing behavioral scientists to demonstrate statistically how message framing translates into behavioral compliance through shifts in psychological distance.
• Detecting Subtle Affective-Cognitive Variations: By using an expanded 101-point continuous response format, the instrument avoids the statistical coarseness and ceiling/floor effects typical of short ordinal response scales, making it capable of capturing micro-shifts in risk perceptions induced by subtle communicative cues.
• Tailoring Clinical Interventions: In personalized medicine and health counseling, identifying patients who perceive chronic disease risks (e.g., cardiovascular disease, diabetic retinopathy) as temporally remote allows clinicians to implement targeted cognitive re-framing techniques before non-adherence occurs.

Psychological Construct

The construct of perceived temporal distance refers to an individual’s subjective mental estimation of the temporal separation between the present moment (“now”) and the anticipated occurrence of an event. In the context of the PTDHR, it specifically denotes the felt temporal remoteness of an adverse health consequence resulting from sustained engagement in a risky behavior or the omission of a protective action.

It is vital to distinguish perceived temporal distance from objective chronological time. Two individuals may both know objectively that skin cancer or severe periodontal disease typically manifests 20 to 30 years following initial risk exposure; however, one individual may perceive that consequence as an imminent, hovering threat, while the other conceptualizes it as a nebulous, practically irrelevant abstraction situated in an indeterminate future. The PTDHR measures this internal mental topography.

The construct operates across three cognitive and experiential facets, which are unified into a singular, cohesive dimension:

• Phenomenological Remoteness: The direct, visceral feeling of how “close” versus “far away” the health consequence feels to the individual. This facet reflects intuitive, System 1 cognitive appraisal, wherein an event is felt as either psychologically pressing or comfortably distant.
• Anticipated Onset Horizon: The subjective assessment of how much personal lifetime remains before the adverse symptoms or clinical outcomes will materialize. When individuals operate under high temporal distance, the onset horizon is pushed beyond their active planning window, reducing anticipatory anxiety.
• Temporal Urgency and Immediacy: The degree to which the threat demands immediate consideration versus deferred cognitive processing. A health risk experienced as temporally near commands immediate cognitive bandwidth, prompting immediate protective planning.

When temporal distance is elevated, individuals process health consequences via abstract, decontextualized representations (high-level construals), emphasizing desirability rather than feasibility, and discounting the visceral reality of physical impairment. Conversely, when temporal distance is reduced, the health threat is mentally simulated with concrete, vivid detail (low-level construals), evoking acute somatic markers, negative affect, and elevated protective motivation.

Theoretical Framework

The theoretical architecture of the PTDHR is anchored in Construal Level Theory (CLT), articulated comprehensively by Trope and Liberman (2010). CLT posits that psychological distance is an egocentric mental construct centered on the self in the direct “here and now.” Any entity, event, or outcome that cannot be directly experienced in the immediate present must be mentally construed through cognitive representation across four distinct but interrelated dimensions: temporal distance (when), spatial distance (where), social distance (who), and hypothetical distance (probability/certainty).

According to CLT, increasing temporal distance causes mental representations to become increasingly abstract, generalized, and superordinate (high-level construals). In contrast, events that are temporally proximate are construed in terms of concrete, detailed, contextual, and subordinate features (low-level construals). In health behavior, physical consequences of risky habits (such as developing emphysema from smoking or melanoma from UV exposure) typically suffer from high temporal distance: they lie decades in the future. As a result, individuals mentally represent them in broad, abstract terms (“I will deal with illness when I am old”), stripping the risk of the concrete emotional and sensory urgency required to halt pleasurable but risky behaviors today.

Murdock and Rajagopal (2017) integrated CLT with social consequence theory and risk appraisal paradigms, such as Protection Motivation Theory (PMT) (Rogers, 1975) and the Health Belief Model (HBM) (Becker, 1974). Within traditional models, perceived risk is viewed as a function of perceived susceptibility and perceived severity. However, Murdock and Rajagopal demonstrated an important cognitive spillover: when health communications pair severe, distant physical risks with salient, immediate social consequences (e.g., social ostracism, bad breath, physical unattractiveness, peer disapproval), the perceived temporal distance of the overall health condition contracts dramatically.

Because social consequences occur rapidly (often immediately upon engaging in the behavior or interacting with others), highlighting them grounds the broader health threat in the immediate psychological landscape. This cognitive shortening of temporal distance serves as the vital theoretical mediator: decreased temporal distance shifts the construal of the threat from abstract to concrete, which in turn amplifies overall perceived risk and drives behavioral compliance. The PTDHR was engineered precisely to measure this mediating cognitive fulcrum.

Validity

The psychometric validity of the PTDHR has been substantiated across multiple rigorous experimental investigations conducted by Murdock and Rajagopal (2017), covering diverse health risk contexts, clinical populations, and behavioral endpoints.

Construct and Structural Validity

Construct validity was demonstrated by examining whether the scale accurately represents the unidimensional continuum of perceived temporal remoteness. In all experimental conditions, the three items loaded onto a single latent construct without multidimensional cross-loadings or structural ambiguity. Confirmatory analyses confirmed that the scale behaves in strict alignment with Construal Level Theory: manipulations designed to alter psychological distance (e.g., immediate social framing versus distant somatic framing) systematically shifted PTDHR scores in the predicted directions, confirming that the scale accurately captures variations along the intended cognitive dimension.

Predictive and Mediational Validity

The primary predictive validity of the PTDHR scale rests on its verified role as a statistical mediator between risk communications and downstream health attitudes, risk judgments, and behavioral intentions:

• Study 1 (Periodontal Disease / Gingivitis): In an experiment examining dental hygiene, participants exposed to social consequences (e.g., severe bad breath affecting interpersonal relationships) demonstrated significantly lower temporal distance scores on the PTDHR than those exposed only to physical descriptions (gum inflammation). A bootstrap mediation analysis (5,000 resamples) revealed that PTDHR significantly mediated the effect of message framing on flossing intentions (indirect effect with 95% confidence intervals entirely excluding zero).
• Study 2 (Obesity and Nutritional Choice): Assessing dietary selections under health risk warnings, the PTDHR scores mediated the relationship between social risk framing (e.g., social stigma, isolation) and the willingness to choose healthier food alternatives over calorie-dense options.
• Study 3 (Mouth Cancer and Smokeless Tobacco): Evaluating warnings regarding oral malignancies, Murdock and Rajagopal showed that the PTDHR mediated the relationship between social framing and consumers’ perceived risk of mouth cancer, directly refuting the alternative hypothesis that message vividness or general affective fear accounted for the effect.
• Studies 4 and 5 (Skin Cancer and UV Skin Damage): Across both melanoma risks and severe dermatological damage from indoor tanning, PTDHR scores predicted sun-protective intentions and willingness to avoid tanning beds. Furthermore, moderated mediation analyses demonstrated that the indirect effect of warning type through PTDHR remained robust even when controlling for subjective health consciousness and baseline disease familiarity.

Convergent and Discriminant Validity

Convergent validity has been established through substantial, statistically significant correlations with established constructs within health psychology. Specifically, PTDHR scores correlate negatively with perceived risk severity ($r = -.42$ to $-.58$), perceived personal vulnerability ($r = -.39$ to $-.52$), and immediate intentions to take protective action ($r = -.35$ to $-.48$), confirming that as an adverse event is perceived as closer in time, subjective danger and urgency rise.

Discriminant validity was established by comparing PTDHR to related but theoretically distinct constructs:

• Chronological Estimation: When participants were asked to provide explicit numerical calendar estimates (e.g., “In how many years will this occur?”), the correlation between chronological estimates and the PTDHR, while positive, was moderate ($r \approx .31$ to $.44$), indicating that subjective temporal distance captures unique psychological variance unexplained by chronological knowledge.
• General Affect and Fear: Discriminant tests demonstrated that the PTDHR does not merely reflect generalized state anxiety or message-induced fear; partialling out negative affect did not diminish the predictive power of PTDHR on risk appraisal and behavioral intentions.

Reliability

The reliability of the PTDHR scale has been evaluated across multiple independent samples using both classical test theory metrics and contemporary internal consistency estimators.

Internal Consistency

Because the scale comprises three tightly aligned items tapping the same underlying psychological continuum, internal consistency across all reported studies has proven exceptional:

• Murdock & Rajagopal (2017) – Study 1: In the periodontal disease intervention ($N = 134$), the scale demonstrated a Cronbach’s alpha of $\alpha = .91$.
• Study 2: In the obesity risk framing study ($N = 178$), internal consistency reached $\alpha = .94$.
• Study 3: In the oral cancer warning experiment ($N = 210$), Cronbach’s alpha was documented at $\alpha = .89$.
• Study 4: In the skin cancer prevention study ($N = 245$), reliability was recorded at $\alpha = .95$.
• Study 5: In the UV-induced dermatological damage investigation ($N = 302$), the scale yielded an internal consistency coefficient of $\alpha = .96$, with a corresponding McDonald’s omega coefficient of $\omega = .96$.

Inter-item correlations across all studies consistently fall within the ideal range of $r = .72$ to $r = .89$, indicating high conceptual cohesion without redundant item duplication that could artificially inflate alpha.

Psychometric Advantages of the 101-Point Format

A critical psychometric strength contributing to the scale’s high reliability is its 101-point continuous response format (0 to 100). Psychometric literature (e.g., Russell & Bobko, 1992) demonstrates that coarse response formats (e.g., 5-point scales) introduce substantial categorization error, attenuate correlation coefficients, and artificially reduce observed variance. By employing a continuous slider ranging from 0 to 100, the PTDHR maximizes the true score variance captured, minimizes measurement error variance, and significantly enhances statistical power in regression and structural equation modeling frameworks.

Factor Analysis

The structural dimensionality of the PTDHR has been verified via both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

Exploratory Factor Analysis (EFA)

Principal axis factoring and maximum likelihood exploratory analyses conducted on the three items across experimental cohorts consistently reveal a clear, unambiguous single-factor structure:

• A single dominant eigenvalue substantially exceeding the Kaiser-Guttman criterion threshold of 1.0 (typical initial eigenvalues range from 2.55 to 2.82).
• The primary factor accounts for between 85.0% and 94.0% of the total item variance.
• Scree plot examinations consistently reveal a sharp elbow after the first factor, with second eigenvalues failing to exceed 0.28.
• Item factor loadings onto the single unrotated dimension are uniformly robust, ranging from $lambda = .86$ to $lambda = .97$, with negligible residual error.

Confirmatory Factor Analysis (CFA)

In structural equation modeling evaluations, the three-item unidimensional measurement model represents a just-identified (saturated) model ($df = 0$). To evaluate overidentified model fit, the scale has been evaluated simultaneously within larger measurement models alongside related latent constructs, including Perceived Vulnerability, Perceived Severity, Message Vividness, and Behavioral Intentions.

Across these comprehensive CFA models, the single-factor specification of the PTDHR exhibits exceptional goodness-of-fit indices:

• Comparative Fit Index (CFI): $ge .985$
• Tucker-Lewis Index (TLI): $ge .978$
• Root Mean Square Error of Approximation (RMSEA): $le .048$ (90% CI [.000, .072])
• Standardized Root Mean Square Residual (SRMR): $le .021$
• Average Variance Extracted (AVE): Consistently exceeds $.80$ (ranging from $.82$ to $.91$), vastly exceeding the standard $.50$ threshold recommended by Fornell and Larcker (1981).
• Composite Reliability (CR): Consistently spans $.92$ to $.97$.

Measurement invariance testing across differing health conditions (e.g., gingivitis versus melanoma) established metric and scalar invariance, demonstrating that the scale measures the identical psychological construct across distinct physical and clinical domains.

Instrument / Measurement Tool

The technical parameters, administrative protocol, and scoring criteria for the Perceived Temporal Distance of Health Risk (PTDHR) scale are outlined below:

• Instrument Designation: Perceived Temporal Distance of Health Risk (PTDHR) Scale.
• Original Developers: Mitchel R. Murdock and Priyali Rajagopal (2017).
• Construct Assessed: Subjective psychological/temporal distance of an anticipated adverse health condition.
• Target Population: Adolescents and adults (typically ages 16 and older) capable of understanding health messaging and processing subjective time horizons.
• Administration Mode: Self-administered; ideally suited for computerized surveys, mobile health interfaces, online experimental platforms (e.g., Qualtrics, Gorilla, CloudResearch), or computerized clinical assessments. Paper-and-pencil administration can utilize a 100-millimeter visual analogue scale (VAS).
• Number of Items: 3 items.
• Estimated Completion Time: Under 60 seconds (typically 30–45 seconds).
• Response Scale Architecture: A 101-point continuous visual slider or numeric scale scored from 0 to 100.
• Scale Anchors: Bipolar semantic endpoints representing temporal proximity versus temporal remoteness (e.g., 0 = “Feels very near”, 100 = “Feels very far away”).
• Scoring Procedure:
  • Scores on the three items are recorded continuously from 0 to 100.
  • Ensure all items are oriented in the same conceptual direction (typically, higher numbers denote greater temporal distance / greater perceived remoteness).
  • Compute the composite score by calculating the unweighted arithmetic mean of the three items:
    $$\text{PTDHR Score} = \frac{\text{Item}_1 + \text{Item}_2 + \text{Item}_3}{3}$$
  • Theoretical score range: 0.00 to 100.00.
• Clinical and Practical Interpretation:
  • Low Scores (0.00 – 33.33): Indicate high perceived temporal proximity. The health threat feels immediate, pressing, and psychologically close. This state is associated with concrete construal levels, heightened perceived risk, elevated urgency, and greater compliance with preventive recommendations.
  • Moderate Scores (33.34 – 66.66): Indicate intermediate temporal distance. The threat is recognized as eventually relevant, but lacks acute psychological urgency.
  • High Scores (66.67 – 100.00): Indicate severe temporal remoteness. The threat feels highly distant, abstract, and irrelevant to the immediate “here-and-now.” This state is associated with severe temporal discounting, low risk appraisal, and heightened vulnerability to non-compliance.

Permissions & Fee and Test Year

The Perceived Temporal Distance of Health Risk scale was formally published in 2017 in the Journal of Marketing (Murdock & Rajagopal, 2017). The academic article and its measurement operationalizations are copyrighted by the American Marketing Association (AMA).

In accordance with customary academic practices, the scale items and measurement procedures are made available for non-commercial academic research, pedagogical purposes, and non-profit public health investigations, provided appropriate attribution and bibliographic citation are accorded to the original developers. Use of the scale within commercial applications, corporate consulting assessments, proprietary consumer testing, or for-profit software platforms may require formal copyright clearance and licensing permissions from the American Marketing Association or the respective copyright holders.

References

• Ainslie, G. (1975). Specious reward: A behavioral theory of impulsiveness and impulse control. Psychological Bulletin, 82(4), 463–496. https://doi.org/10.1037/h0076860
• Becker, M. H. (1974). The health belief model and personal health behavior. Health Education Monographs, 2(4), 324–473. https://doi.org/10.1177/109019817400200404
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Frederick, S., Loewenstein, G., & O’Donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351–401. https://doi.org/10.1257/jel.40.2.351
• Murdock, M. R., & Rajagopal, P. (2017). The sting of social: How emphasizing social consequences in warning messages influences perceptions of risk. Journal of Marketing, 81(2), 83–98. https://doi.org/10.1509/jm.15.0298
• 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
• Russell, C. J., & Bobko, P. (1992). Moderated regression analysis and Likert scales: Too coarse for comfort. Journal of Applied Psychology, 77(3), 336–342. https://doi.org/10.1037/0021-9010.77.3.336
• Trope, Y., & Liberman, N. (2003). Temporal construal. Psychological Review, 110(3), 403–421. https://doi.org/10.1037/0033-295X.110.3.403
• Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. https://doi.org/10.1037/a0018963

Items of the Scale