nach oben

Erschienen in:

01.03.2013 | Original Paper

Examining the Applicability of the IMB Model in Predicting Condom Use Among Sexually Active Secondary School Students in Mbarara, Uganda

Erschienen in: AIDS and Behavior | Ausgabe 3/2013

Einloggen, um Zugang zu erhalten

Abstract

The applicability of the IMB model in predicting condom use was tested among 390 sexually active secondary school students in Mbarara, Uganda. Adolescents across five secondary schools completed a self-report survey about their health and sexual experiences. Based upon results from structural equation modeling, the IMB model partially predicts condom use. Condom use was directly predicted by HIV prevention information and behavioral skills regarding having and using condoms. It was indirectly predicted (through behavioral skills regarding having and using condoms) by behavioral intentions regarding using condoms and talking to one’s partner about safer sex. Aspects of one’s first sexual experience (i.e., age at first sex, having discussed using condoms with first sex partner, willingness at first sex) were strongly influential in predicting current condom use; this was especially true for discussing condoms with one’s first sex partner. Findings highlight the importance of providing clear and comprehensive condom use training in HIV prevention programs aimed at Ugandan adolescents. They also underscore the importance of targeting abstinent youth before they become sexually active to positively affect their HIV preventive behavior at their first sexual experience.

In the first school the survey was fielded, students were not matched to the recruitment list in order to protect anonymity. This process was subsequently changed after it was discovered that youth not on the list had shown up, provided assent, and completed the survey. Because the surveys were completely blind to protect participants' anonymity; it was impossible to identify the errant surveys. Although we could have randomly deleted 17 surveys, we chose to keep all completed surveys to maximize the amount of data available.

Government of Uganda. UNGASS Country Progress Report Uganda: Jan 2008–Dec 2009. Available at: http://data.unaids.org/pub/Report/2010/uganda_2010_country_progress_report_en.pdf.

Biraro S, Shafer LA, Kleinschmidt I, et al. Is sexual risk taking behaviour changing in rural south-west Uganda? Behaviour trends in a rural population cohort 1993–2006. Sex Transm Infect. 2009;85(Suppl 1):i3–11.PubMedCrossRef

Johnson WD, Diaz RM, Flanders WD, et al. Behavioral interventions to reduce risk for sexual transmission of HIV among men who have sex with men. Cochrane Database Syst Rev. 2008;3:CD001230.

Centers for Disease Control and Prevention. Compendium of HIV prevention interventions with evidence of effectiveness from CDC’s HIV/AIDS prevention research synthesis project. Atlanta, GA: Centers for disease control and prevention. Available at: http://www.cdc.gov/hiv/resources/reports/hiv_compendium/index.htm.

Bandura A. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs: Prentice Hall; 1986.

Azjen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice Hall; 1980.

Azjen I. From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckman J, editors. Action-control: from cognition to behavior. Heidelberg: Springer; 1985. p. 11–39.

Fisher JD, Fisher WA. Changing AIDS-risk behavior. Psychol Bull. 1992;111:455–74.PubMedCrossRef

Fisher JD, Fisher WA. Theoretical approaches to individual-level change in HIV risk behavior. In: Peterson JL, DiClemente RJ, editors. Handbook of HIV prevention. New York: Kluwer Academic/Plenum Press; 2000. p. 3–55.CrossRef

10.

Prochaska JO, Redding CA, Harlow LL, Rossi JS, Velicer WF. The transtheoretical model of change and HIV prevention: a review. Health Educ Q. 1994;21(4):471–86.PubMedCrossRef

11.

Rosenstock IM. Historical origins of the health belief model. Health Edu Monogr. 1974;2(4):328–35.

12.

Rogers EM. Diffusion of innovations. New York: Free Press; 1995.

13.

Wingood GM, DiClemente RJ. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Health Edu Behav. 2000;27(5):539–65.CrossRef

14.

Fisher JD, Fisher WA, Williams SS, Malloy TE. Empirical tests of an information-motivation-behavioral skills model of AIDS-preventive behavior with gay men and heterosexual university students. Health Psychol. 1994;13(3):238–50.PubMedCrossRef

15.

Fisher JD, Fisher WA, Bryan AD, Misovich SJ. Information-motivation-behavioral skills model-based HIV risk behavior change intervention for inner-city high school youth. Health Psychol. 2002;21(2):177–86.PubMedCrossRef

16.

Bryan AD, Fisher JD, Benziger TJ. HIV prevention information, motivation, behavioral skills and behaviour among truck drivers in Chennai, India. AIDS. 2000;14(6):756–8.PubMedCrossRef

17.

Linn JG, Garnelo L, Husaini BA, Brown C, Benzaken AS, Stringfield YN. HIV prevention for indigenous people of the Amazon basin. Cell Mol Biol (Noisy-le-grand). 2001;47(6):1009–15.

18.

Kalichman SC, Simbayi LC, Cain D, Jooste S, Skinner D, Cherry C. Generalizing a model of health behaviour change and AIDS stigma for use with sexually transmitted infection clinic patients in Cape Town, South Africa. AIDS Care. 2006;18(3):178–82.PubMedCrossRef

19.

Yang X, Xia G, Li X, Latkin C, Celentano D. Social influence and individual risk factors of HIV unsafe sex among female entertainment workers in China. AIDS Edu Prev. 2010;22(1):69–86.CrossRef

20.

Maticka-Tyndale E, Tenkorang EY. A multi-level model of condom use among male and female upper primary school students in Nyanza, Kenya. Soc Sci Med. 2010;71(3):616–25.PubMedCrossRef

21.

Hendriksen ES, Pettifor A, Lee SJ, Coates T, Rees H. Predictors of condom use among young adults in South Africa: The Reproductive Health and HIV Research Unit National Youth Survey. Am J Public Health. 2007;97(7):1241–8.PubMedCrossRef

22.

Koenig MA, Zablotska I, Lutalo T, Nalugoda F, Wagman J, Gray R. Coerced first intercourse and reproductive health among adolescent women in Rakai, Uganda. Int Fam Plan Perspect. 2004;30(4):156–63.PubMedCrossRef

23.

Kalichman SC, Simbayi LC. Sexual assault history and risks for sexually transmitted infections among women in an African township in Cape Town, South Africa. AIDS Care. 2004;16(6):681–9.PubMedCrossRef

24.

Varga C. How gender roles influence sexual and reproductive health among South African adolescents. Stud Fam Plann. 2003;34(3):160–72.PubMedCrossRef

25.

Moore A, Biddlecom A, Zulu E. Prevalence and meanings of exchange of money or gifts for sex in unmarried adolescent sexual relationships in sub-Saharan Africa. Afr J Reprod Health. 2007;11(3):44–61.PubMedCrossRef

26.

Ajuwon A. Attitudes, norms and experiences of sexual coercion among young people in Ibadan, Nigeria. In: Jejeebhoy S, Shah I, Thapa S, editors. Sex without consent: young people in developing countries. New York: Zed Books; 2005. p. 96–104.

27.

Erulkar A. The experience of sexual coercion among young people in Kenya. Int Fam Plan Perspect. 2004;30(4):182–9.PubMedCrossRef

28.

Dunkle KL, Jewkes RK, Brown HC, Gray GE, McIntryre JA, Harlow SD. Gender-based violence, relationship power, and risk of HIV infection in women attending antenatal clinics in South Africa. Lancet. 2004;363(9419):1415–21.PubMedCrossRef

29.

Luke N, Kurz KM. Cross-generational and transactional sexual relations in Sub-Saharan Africa: prevalence of behavior and implications for negotiating safer sexual practices. Washington, DC: International Center for Research on Women, Population Services International; 2002.

30.

Campbell JC, Baty ML, Ghandour RM, Stockman JK, Francisco L, Wagman J. The intersection of intimate partner violence against women and HIV/AIDS: a review. Int J Inj Contr Saf Promot. 2008;15(4):221–31.PubMedCrossRef

31.

Jewkes R, Morrell R. Gender and sexuality: emerging perspectives from the heterosexual epidemic in South Africa and implications for HIV risk and prevention. J Int AIDS Soc. 2010;13(1):6.PubMed

32.

Maman S, Yamanis T, Kouyoumdjian F, Watt M, Mbwambo J. Intimate partner violence and the association with HIV risk behaviors among young men in Dar es Salaam, Tanzania. J Interpers Violence. 2010;25(10):1855–72.PubMedCrossRef

33.

Puffer E, Meade C, Drabkin A, Broverman S, Ogwang-Odhiambo R, Sikkema K. Individual- and family-level psychosocial correlates of HIV risk behavior among youth in rural Kenya. AIDS Behav. 2010;15(6):1264–74.CrossRef

34.

Uganda Bureau of Statistics (UBOS). Statistical abstract. Kampala: Uganda Bureau of Statistics; 2005. p. 2005.

35.

Intersol Inc. Languages of Africa. Brea, CA: Intersol, Inc. Available at: http://www.intersolinc.com/newsletters/africa.htm.

36.

Misovich SJ. The Teen Health Survey. Storrs, CT: Center for Health, Intervention, and Prevention, University of Connecticut. Available at: http://www.chip.uconn.edu/research/measurement-instruments/.

37.

Uganda Bureau of Statistics (UBOS), ORC Macro. Uganda Demographic and Health Survey 2006. Calverton, MD: UBOS and Macro International Inc. Available at: http://www.measuredhs.com/publications/publication-FR194-DHS-Final-Reports.cfm.

38.

Bryan A, Schindeldecker MS, Aiken LS. Sexual self-control and male condom-use outcome beliefs: predicting heterosexual men’s condom-use intentions and behavior. J Appl Soc Psychol. 2001;31(9):1911–38.CrossRef

39.

Bryan AD, Aiken LS, West SG. Young women’s condom use: the influence of acceptance of sexuality, control over the sexual encounter, and perceived susceptibility to common STDs. Health Psychol. 1997;16(5):468–79.PubMedCrossRef

40.

Ware JE, Kosinski M. SF-36 physical and mental health summary scales: a manual for users of version 1. Lincoln: QualityMetric Inc.; 2001.

41.

Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41.CrossRef

42.

Rosenberg M. Society and the adolescent self-image. Princeton: Princeton University Press; 1965.

43.

Whitaker DJ, Miller KS, Clark LF. Reconceptualizing adolescent sexual behavior: beyond did they or didn’t they? Fam Plann Perspect. 2000;32(3):111–7.PubMedCrossRef

44.

Bryan A, Kagee A, Broaddus M. Condom use among South African adolescents: developing and testing theoretical models of intentions and behavior. AIDS Behav. 2006;10(4):387–97.PubMedCrossRef

45.

StataCorp. Stata Statistical Software. Release 11. College Station, TX: StataCorp LP; 2009.

46.

Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987.CrossRef

47.

Ybarra ML, Mitchell KJ. Youth engaging in online harassment: associations with caregiver-child relationships, internet use, and personal characteristics. J Adolesc. 2004;27(3):319–36.PubMedCrossRef

48.

Ybarra M, Mitchell K, Wolak J, Finkelhor D. Examining characteristics and associated distress related to internet harassment: findings from the Second Youth Internet Safety Survey. Pediatrics. 2006;118(4):e1169–77.PubMedCrossRef

49.

Ybarra ML, Espelage DL, Mitchell KJ. The co-occurrence of internet harassment and unwanted sexual solicitation victimization and perpetration: associations with psychosocial indicators. J Adolesc Health. 2007;41(6 Suppl 1):S31–41.PubMedCrossRef

50.

Arbuckle JL. Amos user’s guide. Chicago: Small Waters; 1997.

51.

Sobel ME. Asymptotic confidence intervals for indirect effects in structural models. In: Leinhardt S, editor. Sociological methodology. San Francisco: Jossey-Bass; 1982. p. 290–312.

52.

Kline RB. Principles and practice of structural equation modeling. 3rd ed. New York: Guildford Press; 2011.

53.

Walsh J, Senn T, Scott-Sheldon L, Vanable P, Carey M. Predicting condom use using the Information-Motivation-Behavioral Skills (IMB) model: a multivariate latent growth curve analysis. Ann Behav Med. 2011;42(2):235–44.PubMedCrossRef

54.

Anderson ES, Wagstaff DA, Heckman TG, et al. Information-Motivation-Behavioral Skills (IMB) Model: testing direct and mediated treatment effects on condom use among women in low-income housing. Ann Behav Med. 2006;31(1):70–9.PubMedCrossRef

55.

Nideröst S, Gredig D, Roulin C, Rickenbach M. Cohort Study, Eurosupport 5 Study Group. Predictors of HIV-protection behaviour in HIV-positive men who have sex with casual male partners: a test of the explanatory power of an extended Information-Motivation-Behavioural Skills model. AIDS Care. 2011;23(7):908–19.PubMed

56.

Fisher JD, Fisher WA, Shuper PA. The Information-Motivation-Behavioral Skills model of HIV preventive behavior. In: DiClemente R, Crosby R, Kegler M, editors. Emerging theories in health promotion practice and research. San Francisco: Jossey Bass Publishers; 2009. p. 22–63.

57.

MacPhail C, Pettifor A, Pascoe S, Rees H. Predictors of dual method use for pregnancy and HIV prevention among adolescent South African women. Contraception. 2007;75(5):383–9.PubMedCrossRef

58.

Moore AM, Awusabo-Asare K, Madise N, John-Langba J, Kumi-Kyereme A. Coerced first sex among adolescent girls in sub-Saharan Africa: prevalence and context. Afr J Reprod Health. 2007;11(3):62–82.PubMedCrossRef

59.

Råssjö E-B, Kiwanuka R. Views on social and cultural influence on sexuality and sexual health in groups of Ugandan adolescents. Sex Reprod Healthc. 2010;1(4):157–62.PubMedCrossRef

60.

Wagman J, Baumgartner JN, Waszak Geary C, et al. Experiences of sexual coercion among adolescent women. J Interpers Violence. 2009;24(12):2073–95.PubMedCrossRef

61.

Nduna M, Jewkes R, Dunkle K, Shai N, Colman I. Associations between depressive symptoms, sexual behaviour and relationship characteristics: a prospective cohort study of young women and men in the Eastern Cape, South Africa. J Int AIDS Soc. 2010;13(1):44.PubMedCrossRef

62.

Miller C, Bangsberg D, Tuller D, et al. Food insecurity and sexual risk in an HIV endemic community in Uganda. AIDS Behav. 2011;15(7):1512–9.PubMedCrossRef

63.

Bandura A. Self-efficacy: the exercise of control. New York: W.H. Freeman; 1997.

64.

Fisher JD, Fisher WA, Misovich DL, Kimble JD, Malloy TE. Changing AIDS risk behavior: effects of an intervention emphasizing AIDS risk reduction information, motivation, and behavioral skills in a college student population. Health Psychol. 1996;15(2):114–23.PubMedCrossRef

Titel: Examining the Applicability of the IMB Model in Predicting Condom Use Among Sexually Active Secondary School Students in Mbarara, Uganda
Publikationsdatum: 01.03.2013
Erschienen in: AIDS and Behavior / Ausgabe 3/2013
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI: https://doi.org/10.1007/s10461-012-0137-x

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

25.04.2024 | Hypotonie | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Examining the Applicability of the IMB Model in Predicting Condom Use Among Sexually Active Secondary School Students in Mbarara, Uganda

Abstract

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

Adjuvante Immuntherapie verlängert Leben bei RCC

Alectinib verbessert krankheitsfreies Überleben bei ALK-positivem NSCLC

Update Innere Medizin

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2013

Laying the Groundwork for an HIV Prevention Intervention: A Descriptive Profile of the Los Angeles House and Ball Communities

Prevalence and Predictors of Drug Use Among Adolescents with HIV Infection Acquired Perinatally or Later in Life

HIV Testing Among Patients Infected with Neisseria gonorrhoeae: STD Surveillance Network, United States, 2009–2010

A Systematic Review to Quantitatively Evaluate ‘Stepping Stones’: A Participatory Community-based HIV/AIDS Prevention Intervention

Predictors of Consistent Condom Use Among Young African American Women

Awareness and Acceptability of Female Condoms Among Monogamous Hong Kong Chinese Female Sexually Transmitted Infection Patients

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

Adjuvante Immuntherapie verlängert Leben bei RCC

Alectinib verbessert krankheitsfreies Überleben bei ALK-positivem NSCLC

Update Innere Medizin