Literature DB >> 1286655

Health beliefs and promotion of HIV-preventive intentions among teenagers: a Scottish perspective.

C Abraham1, P Sheeran, R Spears, D Abrams.   

Abstract

Beliefs concerning the spread of the human immunodeficiency virus (HIV) and preventive behaviors were examined in a sample of 351 sexually active Scottish teenagers. A postal questionnaire, including measures of variables specified by the health belief model (HBM) and preventive intentions, was employed. The relation between HBM measures and reported endorsement of HIV-preventive intentions was investigated. Results indicated that, in general, respondents intended to use condoms with new sexual partners. The majority also intended to carry condoms if they thought they might have sex with a new partner and to ask potential partners about their previous sexual history. Multiple-regression analyses showed that measures of health beliefs, gender, age, sexual experience, and previous condom use accounted for 17.8% to 24.3% of the variance in reported preventive intentions. Perceived barriers to preventive behaviors were found to be important predictors. However, the overall pattern of results raised questions concerning the adequacy of the HBM as a model of the determinants of HIV-preventive intentions, and the need for an extended model is discussed. Separate analyses were conducted for men and women and for 16- and 18-year-olds, and the implications for modeling intention formation in these subgroups are considered. The relevance of these findings to HIV-preventive campaigns is also discussed.

Entities:  

Keywords:  Acquired Immunodeficiency Syndrome--prevention and control; Adolescents; Age Factors; Attitude; Barrier Methods; Behavior; Beliefs; Condom; Contraception; Contraceptive Methods; Contraceptive Usage; Culture; Demographic Factors; Developed Countries; Diseases; Economic Factors; Europe; Family Planning; Hiv Infections--prevention and control; Marketing; Northern Europe; Population; Population Characteristics; Premarital Sex Behavior; Promotion; Psychological Factors; Research Methodology; Sampling Studies; Scotland; Sex Behavior; Studies; Surveys; United Kingdom; Urban Population; Viral Diseases; Youth

Mesh:

Year:  1992        PMID: 1286655     DOI: 10.1037//0278-6133.11.6.363

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  6 in total

1.  Condom-carrying behavior among college students.

Authors:  D W Dahl; G J Gorn; C B Weinberg
Journal:  Am J Public Health       Date:  1997-06       Impact factor: 9.308

2.  Adolescent sexual health communication and condom use: a meta-analysis.

Authors:  Laura Widman; Seth M Noar; Sophia Choukas-Bradley; Diane B Francis
Journal:  Health Psychol       Date:  2014-08-18       Impact factor: 4.267

3.  Perceived peer engagement in HIV-related sexual risk behaviors and self-reported risk-taking among female sex workers in Guangxi, China.

Authors:  Yiyun Chen; Xiaoming Li; Yuejiao Zhou; Xiaoqing Wen; Deren Wu
Journal:  AIDS Care       Date:  2013-01-15

4.  HIV preventive behavior and associated factors among mining workers in Sali traditional gold mining site Bench Maji zone, Southwest Ethiopia: a cross sectional study.

Authors:  Hordofa Gutema Abdissa; Yohannes Kebede Lemu; Dejene Tilahun Nigussie
Journal:  BMC Public Health       Date:  2014-09-26       Impact factor: 3.295

5.  Adherence to COVID-19 Precautionary Measures: Applying the Health Belief Model and Generalised Social Beliefs to a Probability Community Sample.

Authors:  Kwok Kit Tong; Juliet Honglei Chen; Eilo Wing-Yat Yu; Anise M S Wu
Journal:  Appl Psychol Health Well Being       Date:  2020-10-03

6.  Structural equation modeling test of the pre-intentional phase of the health action process approach (HAPA) model on condom use intention among senior high school students in Tianjin, China.

Authors:  Fang Xu; Kai Bu; Fangfang Chen; Shanshan Jin; Hanxi Zhang; Dong Zhang; Caixia Sun; Ning Wang; Mengjie Han; Lu Wang
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

  6 in total

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