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AIDS and Behavior
Erschienen in: AIDS and Behavior 12/2016

09.02.2016 | Original Paper

Does the Theory of Planned Behaviour Explain Condom Use Behaviour Among Men Who have Sex with Men? A Meta-analytic Review of the Literature

verfasst von: Benjamin J. Andrew, Barbara A. Mullan, John B. F. de Wit, Lauren A. Monds, Jemma Todd, Emily J. Kothe

Erschienen in: AIDS and Behavior | Ausgabe 12/2016

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Abstract

The aim of this meta-analysis was to explore whether the constructs in the theory of planned behaviour (TPB; i.e., attitude, subjective norm, perceived behavioural control, intention) explain condom use behaviour among men who have sex with men (MSM). Electronic databases were searched for studies that measured TPB variables and MSM condom use. Correlations were meta-analysed using a random effects model and path analyses. Moderation analyses were conducted for the time frame of the behavioural measure used (retrospective versus prospective). Attitude, subjective norm and perceived behavioural control accounted for 24.0 % of the variance in condom use intention and were all significant correlates. Intention and PBC accounted for 12.4 % of the variance in condom use behaviour. However, after taking intention into account, PBC was no longer significantly associated with condom use. The strength of construct relationships did not differ between retrospective and prospective behavioural assessments. The medium to large effect sizes of the relationships between the constructs in the TPB, which are consistent with previous meta-analyses with different behaviours or target groups, suggest that the TPB is also a useful model for explaining condom use behaviour among MSM. However, the research in this area is rather small, and greater clarity over moderating factors can only be achieved when the literature expands.
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Literatur
1.
2.
European Centre for Disease Prevention and Control/WHO Regional Office for Europe. HIV/AIDS surveillance in Europe 2012. Stockholm: European Centre for Disease Prevention and Control, 2013.
3.
The Kirby Institute. HIV, viral hepatitis and sexually transmissible infections in Australia annual surveillance report. 2013. The Kirby Institute, The University of New South Wales, Sydney 2052.
4.
Prejean J, Song R, Hernandez A, Ziebell R, Green T, Walker F, et al. Estimated HIV incidence in the United States, 2006–2009. PLoS ONE. 2011;6:e17502.CrossRefPubMedPubMedCentral
5.
6.
Sullivan PS, Jones JS, Baral SD. The global north: HIV epidemiology in high-income countries. Curr Opin HIV AIDS. 2014;9(2):199–205.CrossRefPubMed
7.
Beyrer C, Baral S, van Griensven F, Goodreau S, Chariyalertsak S, Wirtz A, Brookmeyer R. Global epidemiology of HIV infection in men who have sex with men. Lancet. 2012;380(9839):367–77.CrossRefPubMedPubMedCentral
8.
De Wit J, Adam P. Revolution or evolution? What can approaches based on the use of antiretroviral drugs contribute to HIV prevention in gay communities in high-income countries. In: Eaton LA, Kalichman SC, editors. Biomedical advances in HIV prevention. TBA. New York: Springer; 2014.
9.
10.
Bruce D, Harper GW, Suleta K. Sexual risk behavior and risk reduction beliefs among HIV-positive young men who have sex with men. AIDS Behav. 2013;17(4):1515–23.CrossRefPubMedPubMedCentral
11.
Grov C. HIV risk and substance use in men who have sex with men surveyed in bathhouses, bars/clubs, and on Craigslist.org: venue of recruitment matters. AIDS Behav. 2012;16(4):807–17.CrossRefPubMed
12.
Grov C, Rendina HJ, Ventuneac A, Parsons JT. HIV risk in group sexual encounters: an event-level analysis from a national online survey of MSM in the US. J Sex Med. 2013;10(9):2285–94.CrossRefPubMedPubMedCentral
13.
Rosenberger JG, Reece M, Schick V, Herbenick D, Novak DS, Van Der Pol B, et al. Condom use during most recent anal intercourse event among a US sample of men who have sex with men. J Sex Med. 2012;9(4):1037–47.CrossRefPubMed
14.
Kalichman SC, Eaton L, Cain D, Cherry C, Fuhrel A, Kaufman M, et al. Changes in HIV treatment beliefs and sexual risk behaviors among gay and bisexual men, 1997–2005. Health Psychol. 2007;26(5):650–6.CrossRefPubMed
15.
Zablotska IB, Prestage G, Middleton M, Wilson D, Grulich AE. Contemporary HIV diagnoses trends in Australia can be predicted by trends in unprotected anal intercourse among gay men. AIDS. 2010;24(12):1955–8.CrossRefPubMed
16.
Osmond DH, Pollack LM, Paul JP, Catania JA. Changes in prevalence of HIV infection and sexual risk behavior in men who have sex with men in San Francisco: 1997–2002. Am J Public Health. 2007;97(9):1677–83.CrossRefPubMedPubMedCentral
17.
Herbst JH, Sherba RT, Crepaz N, DeLuca JB, Zohrabyan L, Stall RD, et al. A meta-analytic review of HIV behavioral interventions for reducing sexual risk behavior of men who have sex with men. J Acquir Immune Defic Syndr. 2005;39(2):228–41.PubMed
18.
Turchik JA, Gidycz CA. Exploring the intention-behavior relationship in the prediction of sexual risk behaviors: can it be strengthened? J Sex Res. 2012;49(1):50–60.CrossRefPubMed
19.
Albarracin D, Durantini M, Earl A. Empirical and theoretical conclusions of an analysis of outcomes of HIV-prevention interventions. Curr Dir Psychol Sci. 2006;15(2):73–8.CrossRef
20.
Sniehotta F, Presseau J, Araujo-Soares V. Time to retire the theory of planned behaviour. Health Psychol Rev. 2014;8(1):1–7.CrossRefPubMed
21.
Armitage C, Conner M. Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol. 2001;40:471–99.CrossRefPubMed
22.
Conner M, Sparks P. Theory of planned behaviour and health behaviour. In: Conner M, Norman P, editors. Predicting health behaviour. 2nd ed. Maidenhead: Open University Press; 2005. p. 170–222.
23.
Guillaumie L, Godin G, Vézina-Im L-A. Psychosocial determinants of fruit and vegetable intake in adult population: a systematic review. Int J Behav Nutr Phys Act. 2010;7(1):7–12.CrossRef
24.
Montanaro EA, Bryan AD. Comparing theory-based condom interventions: health belief model versus theory of planned behavior. Health Psychol. 2014;33(10):1251–60.CrossRefPubMed
25.
McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychol Rev. 2011;5(2):97–144.CrossRef
26.
Godin G, Savard J, Kok G, Fortin C, Boyer R. HIV seropositive gay men: understanding adoption of safe sexual practices. AIDS Educ Prev. 1996;8(6):529–45.PubMed
27.
De Wit JB, Stroebe W, De Vroome EM, Sandfort TG, Van Griensven GJ. Understanding AIDS preventive behavior with casual and primary partners in homosexual men: the theory of planned behavior and the information-motivation-behavioral-skills model. Psychol Health. 2000;15(3):325–40.CrossRef
28.
Albarracin D, Johnson B, Fishbein M, Muellerleile P. Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychol Bull. 2001;127(142–161):142–61.CrossRefPubMedPubMedCentral
29.
Fishbein M. A theory of reasoned action: some applications and implications. Nebr Symp Motiv. 1979;27:65–116.
30.
Sutton S. The past predicts the future: interpreting behaviour-behaviour relationships in social psychological models of health behaviour. In: Rutter D, Quine L, editors. Social psychology and health: European perspectives. Brookfield: Averbury/Ashgate Publishing Co; 1994. p. 71–88.
31.
Norman P, Conner M. The theory of planned behaviour and binge drinking: assessing the moderating role of past behaviour within the theory of planned behaviour. Br J Health Psychol. 2006;11(1):55–70.CrossRefPubMed
32.
Rhodes R, Courneya K. Modelling the theory of planned behaviour and past behaviour. Psychol Health Med. 2007;8(1):57–69.CrossRef
33.
Norman P, Conner M, Bell R. The theory of planned behaviour and exercise: evidence for the moderating role of past behaviour. Br J Health Psychol. 2000;5(3):249–61.CrossRef
34.
Ajzen I. Residual effects of past on later behavior: habituation and reasoned action perspectives. Personal Soc Psychol Rev. 2002;6(2):107–22.CrossRef
35.
Albarracin D, Gillette J, Earl A, Glasman L, Durantini M, Ho M. A test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions since the beginning of the epidemic. Psychol Bull. 2005;131(6):856–97.CrossRefPubMedPubMedCentral
36.
Sheeran P, Orbell S. Do intentions predict condom use? Meta-analysis and examination of six moderator variables. Br J Soc Psychol. 1998;37:231–50.CrossRefPubMed
37.
Albarracin D, Fishbein M, Middlestadt S. Generalizing behavioral findings across times, samples, and measures: a study of condom use. J Appl Soc Psychol. 1998;28(8):657–74.CrossRef
38.
Merlin JS, Cen L, Praestgaard A, Turner M, Obando A, Alpert C, et al. Pain and physical and psychological symptoms in ambulatory HIV patients in the current treatment era. J Pain Symptom Manag. 2012;43(3):638–45.CrossRef
39.
Begley K, Chan D, Jeganathan S, Batterham M, Smith D. Correlates of unprotected anal intercourse in HIV positive men attending an HIV/AIDS clinic in Sydney. Curr HIV Res. 2008;6:579–84.CrossRefPubMed
40.
Cassell M, Halperin D, Shelton J, Stanton D. HIV and risk behaviour: risk compensation: the Achilles’ heel of innovations in HIV prevention? Br Med J. 2006;332(7541):605–7.CrossRef
41.
Eaton LA, Kalichman SC. Risk compensation in HIV prevention: implications for vaccines, microbicides, and other biomedical HIV prevention technologies. Curr HIV/AIDS Rep. 2007;4(4):165–72.CrossRefPubMedPubMedCentral
42.
Kalichman SC, Cherry C, Cain D, Pope H, Kalichman M, Eaton L, et al. Internet-based health information consumer skills intervention for people living with HIV/AIDS. J Consult Clin Psychol. 2006;74(3):545–54.CrossRefPubMed
43.
Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(6):e1000097.CrossRefPubMedPubMedCentral
44.
Furlan AD, Pennick V, Bombardier C, van Tulder M. 2009 updated method guidelines for systematic reviews in the Cochrane Back Review Group. Spine. 2009;34(18):1929–41.CrossRefPubMed
45.
Cook DJ, Guyatt GH, Ryan G, Clifton J, Buckingham L, Willan A, et al. Should unpublished data be included in meta-analyses? Current convictions and controversies. J Am Med Assoc. 1993;269(21):2749–53.CrossRef
46.
Moher D, Cook DJ, Eastwood S, Olkin I, Rennie D, Stroup DF, et al. Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement. Lancet. 1999;354(9193):1896–900.CrossRefPubMed
47.
Dickersin K. The existence of publication bias and risk factors for its occurrence. J Am Med Assoc. 1990;263(10):1385–9.CrossRef
48.
Easterbrook PJ, Gopalan R, Berlin J, Matthews DR. Publication bias in clinical research. Lancet. 1991;337(8746):867–72.CrossRefPubMed
49.
Ferguson CJ, Heene M. A vast graveyard of undead theories publication bias and psychological science’s aversion to the null. Perspect Psychol Sci. 2012;7(6):555–61.CrossRefPubMed
50.
Schutz M, Godin G, Kok G, Vezina-lm L, Naccache H, Otis J, MAYA Study Group. Determinants of condom use among HIV-positive men who have sex with men. Int J STD AIDS. 2011;22(7):391–7.CrossRefPubMed
51.
Biostat. Comprehensive meta-analysis. 2nd ed. Englewood: Biostat; 2005.
52.
Arbuckle JL. Amos (Version 22.0) [Computer Program]. Chigaco: SPSS; 2013.
53.
Colquitt JA, LePine JA, Noe RA. Toward an integrative theory of training motivation: a meta-analytic path analysis of 20 years of research. J Appl Psychol. 2000;85(5):678.CrossRefPubMed
54.
Eby LT, Freeman DM, Rush MC, Lance CE. Motivational bases of affective organizational commitment: a partial test of an integrative theoretical model. J Occup Organ Psychol. 1999;72(4):463–83.CrossRef
55.
Hedges LV, Vevea JL. Fixed-and random-effects models in meta-analysis. Psychol Methods. 1998;3(4):486–504.CrossRef
56.
57.
Viechtbauer W. Conducting meta-analyses in R with the metaphor package. J Stat Softw. 2010;36(3):1–48.CrossRef
58.
Field AP. Meta-analysis of correlation coefficients: a Monte Carlo comparison of fixed-and random-effects methods. Psychol Methods. 2001;6(2):161–80.CrossRefPubMed
59.
Schmidt FL, Oh IS, Hayes TL. Fixed-versus random-effects models in meta-analysis: model properties and an empirical comparison of differences in results. Br J Math Stat Psychol. 2009;62(1):97–128.CrossRefPubMed
60.
61.
Fisher R. On the ‘probable error’ of a coefficient of correlation deduced from a small sample. Metron. 1921;1:1–32.
62.
Silver NC, Dunlap WP. Averaging correlation coefficients: should Fisher’s z transformations be used? J Appl Psychol. 1987;72(1):146–8.CrossRef
63.
Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. Br Med J. 2003;327(7414):557–60.CrossRef
64.
Gavaghan DJ, Moore RA, McQuay HJ. An evaluation of homogeneity tests in meta-analyses in pain using simulations of individual patient data. Pain. 2000;85(3):415–24.CrossRefPubMed
65.
Huedo-Medina TB, Sánchez-Meca J, Marín-Martínez F, Botella J. Assessing heterogeneity in meta-analysis: Q statistic or I 2 index? Psychol Methods. 2006;11(2):193–206.CrossRefPubMed
66.
Ioannidis JP, Trikalinos TA. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. Can Med Assoc J. 2007;176(8):1091–6.CrossRef
67.
Terrin N, Schmid CH, Lau J, Olkin I. Adjusting for publication bias in the presence of heterogeneity. Stat Med. 2003;22(13):2113–26.CrossRefPubMed
68.
Rosario M, Mahler K, Hunter J, Gwadz M. Understanding the unprotected sexual behaviors of gay, lesbian, and bisexual youths: an empirical test of the cognitive-environmental model. Health Psychol. 1999;18(3):272.CrossRefPubMed
69.
Franssens D, Hospers HJ, Kok G. Social-cognitive determinants of condom use in a cohort of young gay and bisexual men. AIDS Care. 2009;21(11):1471–9.CrossRefPubMed
70.
Godin G, MatickaTyndale E, Adrien A, MansonSinger S, Willms D, Cappon P. Cross-cultural testing of three social cognitive theories: an application to condom use. J Appl Soc Psychol. 1996;26(17):1556–86.CrossRef
71.
De Vroome E, Stroebe W, Sandfort T, De Wit J, Griensven G. Safer sex in social context: Individualistic and relational determinants of AIDS-preventive behavior among gay men. J Appl Soc Psychol. 2000;30(11):2322–40.CrossRef
72.
Rye BJ, Fisher WA, Fisher JD. The theory of planned behavior and safer sex behaviors of gay men. AIDS Behav. 2001;5(4):307–17.CrossRef
73.
Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. New York: Psychology Press; 2010.
74.
Ajzen I, Fishbein M. Attitude-behavior relations: a theoretical analysis and review of empirical research. Psychol Bull. 1977;84(5):888–918.CrossRef
75.
Schwarzer R, Luszczynska A. How to overcome health-compromising behaviors: the health action process approach. Eur Psychol. 2008;13(2):141–51.CrossRef
76.
Schwarzer R. Self-efficacy in the adoption and maintenance of health behaviors: theoretical approaches and a new model. In: Schwarzer R, editor. Self-efficacy thought control of action. Washington, DC: Hemisphere; 1992. p. 217–43.
77.
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179–211.CrossRef
78.
Ko N-Y, Lee H-C, Hung C-C, Chang J-L, Lee N-Y, Chang C-M, et al. Effects of structural intervention on increasing condom availability and reducing risky sexual behaviours in gay bathhouse attendees. AIDS Care. 2009;21(12):1499–507.CrossRefPubMed
79.
Ouellette J, Wood W. Habit and intention in everyday life: the multiple processes by which past behavior predicts future behavior. Psychol Bull. 1998;124(1):54–74.CrossRef
80.
Prabawanti C, Dijkstra A, Riono P, Tb GH. Preparatory behaviours and condom use during receptive and insertive anal sex among male-to-female transgenders (Waria) in Jakarta, Indonesia. J Int AIDS Soc. 2014;17(1):1–7.CrossRef
81.
Waldo CR, Coates TJ. Multiple levels of analysis and intervention in HIV prevention science: exemplars and directions for new research. AIDS. 2000;14:18–26.CrossRef
82.
Dickersin K, Min Y-I, Meinert CL. Factors influencing publication of research results: follow-up of applications submitted to two institutional review boards. J Am Med Assoc. 1992;267(3):374–8.CrossRef
Metadaten
Titel
Does the Theory of Planned Behaviour Explain Condom Use Behaviour Among Men Who have Sex with Men? A Meta-analytic Review of the Literature
verfasst von
Benjamin J. Andrew
Barbara A. Mullan
John B. F. de Wit
Lauren A. Monds
Jemma Todd
Emily J. Kothe
Publikationsdatum
09.02.2016
Verlag
Springer US
Erschienen in
AIDS and Behavior / Ausgabe 12/2016
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-016-1314-0

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