The Sexual History Questionnaire (SHQ)<\/strong>, formulated by clinical psychologist Caroline Cupitt<\/a> in 1992 at the University of London and Oxleas NHS Foundation Trust, is a specialized self-report psychometric instrument engineered to evaluate human sexual behaviors, contextual practices, and psychological risk appraisal linked to the transmission of the Human Immunodeficiency Virus (HIV)<\/a> and other sexually transmitted infections (STIs)<\/a>. Comprising a demographic inventory and four distinct modular sections (A through D), the instrument systematically delineates sexual attraction, lifetime sexual debut, chronological risk frequencies across the preceding month, micro-level contextual parameters of the most recent sexual encounter, and individual cognitive vulnerability regarding HIV infection. The SHQ addresses critical methodological vulnerabilities inherent in retrospective behavioral reporting by pairing generalized recall metrics with event-level behavioral analysis, emphasizing the epidemiologically decisive distinction between penetrative and nonpenetrative sexual acts.<\/p>\n The SHQ employs a diverse response architecture incorporating categorical classifications, numerical frequencies, dichotomous yes\/no verifications, and 5-point Likert-type scales. While designed primarily as a behavioral mapping schedule rather than a psychometric trait assessment yielding a single scalar score, the instrument supports composite risk indexing\u2014such as the four-item algorithm formulated by Peterson (2006)\u2014which aggregates early debut, partner quantity, lifetime unprotected penetrative sexual history, and immediate episodic risk. Section D demonstrates robust test-retest reliability across a 2-week measurement interval with intraclass correlation coefficients (ICC) exceeding .80 (p<\/em> < .001). Demonstrating high face, content, and construct validity across diverse cross-cultural cohorts\u2014including investigations in the United Kingdom, Turkey, South Africa, and the United States\u2014the SHQ remains an essential assessment tool in clinical health psychology, behavioral epidemiology, and preventive sexual health interventions<\/span>.<\/p>\n Sexual History Questionnaire, SHQ, HIV risk assessment, sexual behavior measurement, penetrative sexual intercourse, condom utilization, sexual risk composite score, behavioral epidemiology, safer sex practices, sexual health psychology<\/p>\n The Sexual History Questionnaire was created and refined by Caroline Cupitt<\/strong>, a Consultant Clinical Psychologist based in the United Kingdom. During the instrument’s inception and subsequent validation phases, Cupitt conducted foundational research within the Department of Psychology at the University of London and subsequently served within the Assertive Outreach Team at the Oxleas NHS Foundation Trust (Erith Centre, Park Crescent, Bexley, Kent, DA8 3EE, United Kingdom; correspondence: caroline.cupitt@oxleas.nhs.uk).<\/p>\n Cupitt\u2019s clinical and academic endeavors have focused on cognitive-behavioral determinants of sexual risk taking, adult mental health, severe and enduring psychiatric presentations within community frameworks, and the complex intersection of social cognitive mechanisms, sexual myth adoption, and prophylactic health behaviors. Her foundational collaborative work with Padmal de Silva (Cupitt & de Silva, 1994) systematically examined the interface between cognitive fallacies regarding human sexuality (notably Zilbergeld\u2019s sexual myths) and the actual implementation of protective barrier practices during the escalating public health crisis surrounding HIV\/AIDS.<\/p>\n The overarching purpose of the Sexual History Questionnaire is to provide an objective, granular, and clinically sensitive measurement of sexual behavioral patterns that elevate an individual’s susceptibility to HIV infection and other STIs. Developed amidst the urgent epidemiological imperative to mitigate HIV transmission in late-adolescent and emerging adult demographics, the SHQ systematically bridges the gap between abstract risk perception and concrete, situated behavioral practice. The tool assesses not merely whether individuals possess factual knowledge regarding disease transmission, but how that awareness translates into protective health practices, partner negotiation, and barrier prophylaxis.<\/p>\n In clinical, psychiatric, and specialized sexual health settings, the SHQ operates as a structured diagnostic adjunct and risk-stratification mechanism. Clinical practitioners utilize the questionnaire to:<\/p>\n Within empirical psychology, public health, and sociological research, the SHQ provides an adaptable framework for testing health behavior models. Epidemiologists and behavioral scientists employ the SHQ to explore:<\/p>\n The SHQ does not conceptualize sexual risk as a monolithic, unidimensional personality trait. Instead, it operationalizes risk as an interconnected multidimensional behavioral and cognitive construct. Grounded in behavioral epidemiology and health psychology, the scale dissects sexual encounters into distinct behavioral components, interpersonal dynamics, and cognitive self-appraisals.<\/p>\n A central construct within the SHQ is the structural and biological differentiation between penetrative sex (vaginal or anal intercourse where biological fluids are exchanged across vulnerable mucosal membranes) and nonpenetrative sexual activities (e.g., mutual masturbation, sensual massage, touching). As highlighted by Project SIGMA (Hunt et al., 1991), broad inquiries regarding “sexual partners” lack diagnostic specificity for HIV transmission risk. The SHQ operationalizes risk by isolating penetrative intercourse and assessing whether mechanical barrier methods (latex condoms, dental dams) were deployed consistently across defined timeframes.<\/p>\n Retrospective reporting of sexual behaviors is vulnerable to recall decay, social desirability bias, and cognitive heuristic distortions. The SHQ addresses these challenges by measuring sexual activity across two distinct temporal layers:<\/p>\n The SHQ captures the social and psychological dynamics that govern intimate interactions. Recognizing that safer sex adoption depends heavily on interpersonal self-efficacy, Section C measures:<\/p>\n Section D evaluates personal risk appraisal regarding HIV\/AIDS. This domain captures the psychological mechanisms underlying perceived invulnerability (Weinstein, 1980). It operationalizes risk salience through direct, concrete exposure\u2014such as knowing someone infected with or deceased from HIV\u2014which the empirical literature demonstrates is a powerful catalyst for cognitive dissonance and health behavior change (Becker & Joseph, 1988).<\/p>\n The architectural foundation of the Sexual History Questionnaire draws from several complementary theoretical paradigms across health psychology<\/a>, social cognition, and behavioral sexology.<\/p>\n Originating from the work of Rosenstock (1974) and Becker (1974), the Health Belief Model<\/a> posits that individuals undertake preventive health behaviors based on their assessment of four core dimensions: perceived susceptibility to a disease, perceived severity of the condition, perceived benefits of the preventive action, and perceived structural or psychological barriers to adopting the behavior. The SHQ directly operationalizes the HBM by measuring perceived susceptibility in Section D (“How much at risk do you consider yourself from HIV\/AIDS?”) and tracking “cues to action”\u2014most notably personal exposure to individuals living with HIV\/AIDS or participation in voluntary antibody testing and counseling.<\/p>\n Albert Bandura\u2019s (1986, 1994) Social Cognitive Theory<\/a> underscores the central role of self-efficacy\u2014the personal conviction in one’s capacity to execute behaviors required to produce specific outcomes. In sexual health, condom use requires both technical skill and interpersonal communication efficacy within emotionally charged contexts. The SHQ operationalizes this construct in Section C through direct questions on who initiated condom discussions and the participant’s perceived ability to express personal sexual boundaries and preferences.<\/p>\n Developed by Fisher and Fisher (1992) specifically to address HIV prevention, the Information-Motivation-Behavioral Skills model<\/a> asserts that HIV risk-reduction behaviors depend on three interacting components: accurate epidemiological knowledge, personal and social motivation to change risk practices, and the objective behavioral skills necessary to negotiate and execute safer sex. The SHQ reflects this framework by providing standardized definitions to verify knowledge, assessing internal motivation and perceived risk, and cataloging the behavioral skills used during actual sexual encounters.<\/p>\n Formulated by Ajzen and Fishbein (1980), the Theory of Planned Behavior<\/a> highlights the influence of subjective norms and perceived behavioral control over intentional actions. By tracking partner dynamics across regular and casual relationships, the SHQ captures how relational norms shape protective behaviors, accounting for the frequent finding that individuals drop protective barriers in established relationships due to intimacy norms or trust expectations.<\/p>\n The SHQ has undergone extensive psychometric and empirical evaluation to substantiate its validity across varied clinical and research contexts.<\/p>\n The content validity of the SHQ was established through consultation with sexologists, clinical psychologists, and public health researchers specializing in HIV transmission vectors (Cupitt, 1992; Cupitt & de Silva, 1994). The instrument incorporates unambiguous anatomical and behavioral definitions (e.g., vaginal sex, anal sex, penetrative vs. nonpenetrative acts, barrier definitions) directly into the instructional preamble. This standardized terminology ensures that respondents share the same understanding of assessed behaviors, minimizing subjective interpretation across diverse educational and cultural cohorts.<\/p>\n Construct validity is supported by epidemiological research demonstrating that broad inquiries regarding “sexual partners” fail to capture true biological exposure (Hunt et al., 1991). By isolating penetrative encounters and tracking barrier compliance across established intervals, the SHQ aligns closely with biological transmission mechanisms. Validation work by Peterson (2006) established criterion-related validity by integrating four core SHQ items into a composite sexual risk index that correlates significantly with known correlates of STI acquisition, early sexual debut, and unplanned pregnancies (DiClemente, 1992; Roosa et al., 1997).<\/p>\n The construct validity of the SHQ has been demonstrated across international research programs:<\/p>\n Because the SHQ captures dynamic, episodic behaviors rather than static, unvarying psychological traits, assessing its reliability requires specialized psychometric methodologies adapted to behavioral frequency schedules.<\/p>\n Traditional test-retest reliability assessments cannot be applied universally to monthly behavioral counts because sexual activity is subject to genuine temporal fluctuation. However, the cognitive and attitudinal metrics contained in Section D reflect more stable personal constructs. In the initial psychometric validation of the instrument, Cupitt (1992) conducted a 2-week test-retest evaluation with a cohort of 18 postgraduate university students. All continuous and ordinal items in Section D demonstrated intraclass correlation coefficients (ICC) exceeding .80 (p<\/em> < .001), indicating strong temporal stability for the instrument’s cognitive risk metrics<\/span>.<\/p>\n Retrospective sexual reporting is vulnerable to cognitive heuristics, such as telescoping (shifting events forward or backward in time) and subjective estimation. The SHQ incorporates three specific methodological features to enhance measurement reliability:<\/p>\n Because the SHQ was engineered primarily as a modular behavioral inventory and risk assessment checklist rather than a continuously scored psychometric scale, standard confirmatory factor analysis (CFA) or exploratory factor analysis (EFA) procedures on the complete item set are not conceptually appropriate for the full instrument. Items measuring behavioral occurrences (e.g., whether anal sex occurred or whether oral sex took place) represent causal indicators rather than effect indicators, violating the local independence assumptions underlying classical latent trait measurement models (Bollen & Lennox, 1991).<\/p>\n To establish a coherent scalar metric for quantitative modeling, Peterson (2006) developed and validated a composite sexual risk index derived from core SHQ behavioral indicators. This model focuses on four key items that account for the majority of behavioral variance in HIV and STI exposure:<\/p>\n When evaluated within path-analytic and structural equation models, this four-indicator risk composite demonstrates robust single-construct convergence, yielding standard regression weights between .48 and .76 across adolescent and collegiate samples. The model accounts for significant shares of outcome variance without producing multi-collinearity issues with broader psychosocial inventories.<\/p>\n Psychometric evaluations examining the Likert-type items in Section C (affective desire, partner desire, assertiveness) and Section D (perceived risk, test engagement, HIV personal networks) demonstrate two distinct factors in exploratory factor extractions using varimax rotation:<\/p>\n The Sexual History Questionnaire is structured as follows:<\/p>\n The Sexual History Questionnaire was formulated by Caroline Cupitt in 1992<\/strong> as part of her post-graduate clinical research at the University of London, with key empirical data and behavioral correlates subsequently published in peer-reviewed scientific journals (Cupitt & de Silva, 1994). The instrument is in the public domain for non-commercial academic, scientific, and clinical purposes. No licensing fees or royalties are required to administer the scale in clinical or research settings.<\/p>\n Investigators, psychometricians, and clinicians who adapt, digitize, or administer the SHQ are expected to provide formal attribution by citing the original instrument source (Cupitt, 1992) and its associated validation publications (Cupitt & de Silva, 1994). For prospective modifications or commercial clinical implementations, correspondence may be directed to Caroline Cupitt, Consultant Clinical Psychologist, Oxleas NHS Foundation Trust, Assertive Outreach Team, Erith Centre, Park Crescent, Bexley, Kent, DA8 3EE, United Kingdom (e-mail: caroline.cupitt@oxleas.nhs.uk).<\/p>\n Aitken, L. (2005). The influence of HIV knowledge, beliefs, and religiosity on sexual risk behaviours of private school adolescents<\/em> (Unpublished master\u2019s mini-thesis). University of the Western Cape, Bellville, South Africa. http:\/\/etd.uwc.ac.za\/usrfiles\/modules\/etd\/docs\/etd_init_3582_1174044987.pdf<\/a><\/p>\n Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior<\/em>. Prentice-Hall.<\/p>\n Askun, D., & Ataca, B. (2007). Sexuality related attitudes and behaviors of Turkish university students. Archives of Sexual Behavior<\/em>, 36(5), 741\u2013752. https:\/\/doi.org\/10.1007\/s10508-007-9209-6<\/a><\/p>\n Bancroft, J. (1989). Human sexuality and its problems<\/em> (2nd ed.). Churchill Livingstone.<\/p>\n Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory<\/em>. Prentice-Hall.<\/p>\n Bandura, A. (1994). Social cognitive theory and exercise of control over HIV infection. In R. J. DiClemente & J. L. Peterson (Eds.), Preventing AIDS: Theories and methods of behavioral interventions<\/em> (pp. 25\u201359). Plenum Press. https:\/\/doi.org\/10.1007\/978-1-4899-1193-3_3<\/a><\/p>\n Becker, M. H. (1974). The health belief model and personal health behavior. Health Education Monographs<\/em>, 2(4), 324\u2013473. https:\/\/doi.org\/10.1177\/109019817400200401<\/a><\/p>\n Becker, M. H., & Joseph, J. G. (1988). AIDS and behavioral change to reduce risk: A review. American Journal of Public Health<\/em>, 78(4), 394\u2013410. https:\/\/doi.org\/10.2105\/ajph.78.4.394<\/a><\/p>\n Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin<\/em>, 110(2), 305\u2013314. https:\/\/doi.org\/10.1037\/0033-2909.110.2.305<\/a><\/p>\n Cupitt, C. (1992). Cognitive factors in the decision to adopt safer sex practices<\/em> (Unpublished master\u2019s thesis). University of London, London, United Kingdom.<\/p>\n Cupitt, C., & de Silva, P. (1994). Zilbergeld\u2019s myths and sexual activity in the age of AIDS: An empirical study. Sexual and Marital Therapy<\/em>, 9(1), 17\u201331. https:\/\/doi.org\/10.1080\/02674659408409563<\/a><\/p>\n DiClemente, R. J. (1992). Psychosocial determinants of condom use among adolescents. In R. J. DiClemente (Ed.), Adolescents and AIDS: A generation in jeopardy<\/em> (pp. 34\u201351). Sage Publications.<\/p>\n Ehrhardt, B. L., Krumboltz, J. D., & Koopman, C. (2006). Training peer sexual health educators: Changes in knowledge, counseling self-efficacy and sexual risk behavior. American Journal of Sexuality Education<\/em>, 2(1), 39\u201355. https:\/\/doi.org\/10.1300\/J455v02n01_04<\/a><\/p>\n Fisher, J. D., & Fisher, W. A. (1992). Changing AIDS-risk behavior. Psychological Bulletin<\/em>, 111(3), 455\u2013474. https:\/\/doi.org\/10.1037\/0033-2909.111.3.455<\/a><\/p>\n Hunt, A. J., Davies, P. M., Weatherburn, P., Coxon, A. P., & McManus, T. J. (1991). Sexual partners, penetrative sexual partners and HIV risk. AIDS<\/em>, 5(6), 723\u2013728. https:\/\/doi.org\/10.1097\/00002030-199106000-00012<\/a><\/p>\n Lam, A. G., & Barnhart, J. E. (2006). It takes two: The role of partner ethnicity and age characteristics on condom negotiations of heterosexual Chinese and Filipina American college women. AIDS Education and Prevention<\/em>, 18(1), 68\u201380. https:\/\/doi.org\/10.1521\/aeap.2006.18.1.68<\/a><\/p>\n Peterson, S. H. (2006). The importance of fathers: Contextualizing sexual risk taking in \u201clow risk\u201d African-American adolescent girls. Journal of Human Behavior in the Social Environment<\/em>, 13(3), 67\u201383. https:\/\/doi.org\/10.1300\/J137v13n03_05<\/a><\/p>\n Roosa, M. W., Tein, J., Reinholtz, C., & Angelini, P. J. (1997). The relationship of childhood sexual abuse to teenage pregnancy. Journal of Marriage and the Family<\/em>, 59(1), 119\u2013130. https:\/\/doi.org\/10.2307\/353666<\/a><\/p>\n Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs<\/em>, 2(4), 328\u2013335. https:\/\/doi.org\/10.1177\/109019817400200403<\/a><\/p>\n2. Keywords<\/h2>\n
3. Authors<\/h2>\n
4. Purpose<\/h2>\n
Clinical Applications<\/h3>\n
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Research Applications<\/h3>\n
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5. Psychological Construct<\/h2>\n
Behavioral Distinction: Penetrative vs. Nonpenetrative Contact<\/h3>\n
Temporal Granularity: Macro-Recall vs. Event-Level Analysis<\/h3>\n
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Interpersonal Power, Communication, and Affective Experience<\/h3>\n
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Cognitive Risk Perception and Salience<\/h3>\n
6. Theoretical Framework<\/h2>\n
The Health Belief Model (HBM)<\/h3>\n
Social Cognitive Theory and Self-Efficacy<\/h3>\n
Information-Motivation-Behavioral Skills (IMB) Model<\/h3>\n
The Theory of Reasoned Action and Planned Behavior<\/h3>\n
7. Validity<\/h2>\n
Content and Face Validity<\/h3>\n
Construct and Criterion Validity<\/h3>\n
Cross-Cultural and Convergent Validity<\/h3>\n
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8. Reliability<\/h2>\n
Test-Retest Stability<\/h3>\n
Methodological Strategies to Maximize Behavioral Reporting Reliability<\/h3>\n
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9. Factor Analysis<\/h2>\n
Peterson\u2019s Composite Risk Factor Model<\/h3>\n
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Latent Dimensions within Relational and Cognitive Subscales<\/h3>\n
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10. Instrument \/ Measurement Tool<\/h2>\n
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11. Permissions & Fee and Test Year<\/h2>\n
12. References<\/h2>\n