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Cited by 312

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Attitudes, Norms, and Self-Efficacy: A Model of Adolescents' HIV-Related Sexual Risk Behavior

Basen-Engquist, Karen, Parcel, Guy S.·1992·Health Education Quarterly

Abstract

Using data from a cross-sectional, statewide survey of 1,720 Texas ninth graders in 13 school districts, a model of psychosocial predictors of human immunodeficiency virus (HIV)-related sexual risk behavior was tested. Predictor variables in the model, based on variables from the Theory of Reasoned Action and Social Learning Theory, were attitudes, norms, self-efficacy, and behavioral intentions. Attitudes, norms, and self-efficacy predicted 36.4% of the variance in the intention to limit the number of sexual partners and the same variables plus intention predicted 24.6% of the variance in number of sexual partners in the past year. Attitudes, norms, and self-efficacy regarding condom use predicted 17.0% of the variance in condom use intentions; these variables plus intentions predicted 19.0% of the variance in condom use frequency. Attitudes, norms, and intentions were directly related to the number of sexual partners, while self-efficacy ad condom use intentions were directly related to frequency of condom use.

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Metadata

Authors
Basen-Engquist, K., & Parcel, G. S.
Venue
Health Education Quarterly
Published
1992-07
Volume
19
Issue
2
Pages
263-277
ISSN
0195-8402 (ISSN-L)
OpenAlex
W1963554964
Cited by
312
References
1
FWCI
21.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Attitudes, Norms, and Self-Efficacy: A Model of Adolescents' HIV-Related Sexual Risk Behavior. https://app.cochat.ai/papers/10.1177/109019819201900209
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Basen-Engquist, K., & Parcel, G. S. (1992). Attitudes, Norms, and Self-Efficacy: A Model of Adolescents' HIV-Related Sexual Risk Behavior. Health Education Quarterly. https://doi.org/10.1177/109019819201900209

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.