A national multi-media campaign (Zip-Up!) was initiated in Nigeria in 2004 to promote sexual abstinence among young people as part of comprehensive efforts to reduce sexually transmitted infection and unwanted pregnancy. This study assessed the effect of the campaign exposure on interpersonal communication about abstinence among a nationally representative sample of never-married young people (15–24 years). A propensity score matching technique was used to create a comparison group statistically equivalent to the group exposed to the campaign and assess the campaign effect. Of the 3,388 people sampled, 29.1% had been exposed to the campaign. Factors significantly associated with campaign exposure included age (OR = 1.08; 95% C.I. = 1.04–1.12), urban location (OR = 1.31; 95% C.I. = 1.04–1.66), and frequency of media use. Compared to the non-exposed group, campaign exposure was associated with a statistically significant adjusted increase of 10.9% in the proportion of young people who engaged in interpersonal communication about abstinence.
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References
1.
BearingerL. H.SievingR. E.FergusonJ., and SharmaV., Global Perspectives on the Sexual and Reproductive Health of Adolescents: Patterns, Prevention, and Potential, Lancet, 369, pp. 1220–1231, 2007.
2.
Federal Ministry of Health (Nigeria), 2005 National HIV/Syphilis Sero-Prevalence Sentinel Survey among Pregnant Women Attending Antenatal Clinics in Nigeria: Technical Report, Abuja, 2005.
3.
BankoleA.Oye-AdeniranB. A.SinghS.AdewoleI. F.WulfO.SedghG., and HussainR., Unwanted Pregnancy and Induced Abortion in Nigeria: Causes and Consequences, Guttmacher Institute, New York, 2006.
4.
National Population Commission (Nigeria) and ORC Macro, Nigeria Demographic and Health Survey 1999, Calverton, Maryland, 2000.
5.
National Population Commission (Nigeria) and ORC Macro, Nigeria Demographic and Health Survey 2003, Calverton, Maryland, 2004.
6.
FatusiA. O., Adolescent Sexual and Reproductive Health Needs in Nigeria: Shaping a Pragmatic and Effective Response, Journal of Community Medical and Primary Health Care, 17, pp. 1–6, 2005.
7.
ValenteT. W. and SabaW. P., Campaign Exposure and Interpersonal Communication as Factors in Contraceptive Use in Bolivia, Journal of Health and Community, 6, pp. 303–322, 2001.
8.
BoulayM.StoreyJ., and SoodS., Indirect Exposure to a Family Planning Mass Media Campaign in Nepal, Journal of Health and Community, 7, pp. 379–399, 2002.
9.
GuptaN.KatendeC., and BessingerR., Associations of Mass Media Exposure with Family Planning Attitudes and Practices in Uganda, Studies in Family Planning, 34, pp. 19–31, 2003.
10.
TambasheB.SpeizerI.AmouzouA., and DjangoneA., Evaluation of the Psamao “Roulez Protége” Mass Media Campaign in Burkina Faso, AIDS Education and Prevention, 15, pp. 33–48, 2003.
11.
UnderwoodC.HachondaH.SerlemitsosE., and Bharath-KumarU., Reducing the Risk of HIV Transmission among Adolescents in Zambia: Psychosocial and Behavioral Correlates of Viewing a Risk-Reduction Media Campaign, Journal of Adolescent Health, 38, pp. 55e.1–55e.13, 2006.
12.
GearyC. W.BurkeH. C.CastelnauL., MTV's “Staying Alive” Global Campaign Promoted Interpersonal Communication about HIV and Positive Beliefs about HIV Prevention, AIDS Education and Prevention, 19, pp. 51–67, 2007.
13.
BertrandJ. T.O'ReillyK.DenisonJ.AnhangR., and SweatM., Systematic Review of the Effectiveness of Mass Communication Programs to Change HIV/AIDS-Related Behaviors in Developing Countries, Health Education Research, 2, pp. 567–597, 2006.
14.
DoM. P. and KincaidD. L., Impact of an Entertainment-Education Television Drama on Health Knowledge and Behavior in Bangladesh: An Application of Propensity Score Matching, Journal of Health and Community, 11, pp. 301–325, 2006.
15.
BabalolaS. and VonrasekC., Communication, Ideation and Contraceptive Use in Burkina Faso: An Application of the Propensity Score Matching Method, Journal of Family Planning and Reproductive Health Care, 31, pp. 207–212, 2005.
16.
SturmerT.JoshiM.GlynnR. J.AvronJ.RothmanK. J., and SchneeweissS., A Review of the Application of Propensity Score Methods Yielded Increasing Use, Advantages in Specific Settings, But Not Substantially Different Estimates Compared with Conventional Multivariable Methods, Journal of Clinical Epidemiology, 59, pp. 437–447, 2006.
17.
AnkomahA.Mamman-DauraF.OmoregieG., and AnyantiJ., Abstinence and Delayed Sexual Debut among Nigerian Youth: A Qualitative Study Informing the ‘Zip-Up!’ Campaign, Society for Family Health, Abuja, 2004.
18.
FisherJ. D. and FisherW. A., The Information-Motivation-Behavioral Skills Model, in Emerging Theories in Health Promotion Practice and Research, DiClementeR.CrosbyR., and KeglerM. (eds.), Jossey-Bass, San Francisco, California, pp. 40–70, 2002.
19.
FilmerD. and PritchettL., Estimating Wealth Effects Without Expenditure Data—or Tears: With an Application to Educational Enrollments in States of India, Policy Research Working paper 1994, The World Bank Development Research Group, Poverty and Human Resources, Washington, D.C., 1998.
BollenK. A.GuilkeyD. K., and MrozT. A., Binary Outcomes and Endogenous Explanatory Variables: Tests and Solutions with an Application to the Demand for Contraceptive Use in Tunisia, Demography, 32, pp. 111–131, 1995.
22.
BertrandJ. T. and AnhangR., The Effectiveness of Mass Media in Changing HIV/AIDS-Related Behaviour among Young People in Developing Countries, in Preventing HIV/AIDS in Young People: A Systematic Review of the Evidence from Developing Countries, RossD.DickB., and FergusonJ. (eds.), World Health Organisation; WHO Technical Report Series, 938, pp. 205–241, 2006.
23.
Population Services International (PSI) Kenya, Kenya: Evaluation of the Nimechill Campaign to Promote Abstinence among Urban Youth March 10–14, 2006, The Communication Initiative. Accessed August 30, 2007 at: http://www.comminit.com/evaluations/eval2006/evaluations-293.html
24.
BabalolaS.OuedraogoD., and VondrasekD., Motivation for Late Sexual Debut in Côte d'Ivoire and Burkina Faso: A Positive Deviance Inquiry, Journal of HIV/AIDS Prevention in Children & Youth, 7, pp. 65–87, 2006.
25.
National Institutes of Mental Health, Television and Behaviour: Ten Years of Scientific Progress and Implications for the Eighties. Summary Report, DHHS Publication No. ADM 82-1195, Washington, D.C., 1982.
26.
StrasburgerV. C., Alcohol advertising and adolescents, Pediatric Clinics of North America, 49, pp. 353–376, 2002.
27.
GerbnerG.GrossL.MorganM., and SignorielliN., Growing Up with Television; the Cultivation Perspective, in Media Effects: Advances in Theory and Research, BryantJ. and ZillmanD. (eds.), Lawrence Erlbaum, Hillsdale, New Jersey, pp. 43–60, 1994.
28.
StrasburgerV. C., “Sex, Drugs, Rock ‘n’ Roll,” and the Media—Are the Media Responsible for Adolescent Behavior?Adolescent Medicine, 8, pp. 403–414, 1997.
29.
KeatingJ.MeekersD., and AdewuyiA., Assessing Effects of a Media Campaign on HIV/AIDS Awareness and Prevention in Nigeria: Results from the VISION Project, BMC Public Health, 6, p. 123, 2006.
30.
ChattersL. M., Religion and Health: Public Health Research and Practice, Annual Review of Public Health, 21, pp. 335–367, 2000.
31.
SubramanianS. V.BelliP., and KawachiI., The Macroeconomic Determinants of Health, Annual Review of Public Health, 23, pp. 287–302, 2002. Epub 2001 Oct 25.
32.
RosenbaumP. R. and RubinD. B., The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika, 70, pp. 41–55, 1983.
33.
RosenbaumP. R. and RubinD. B., Reducing Bias in Observational Studies Using Subclassification on the Propensity Score, Journal of the American Statistical Association, 79, pp. 516–524, 1984.
34.
Escobar-ChavesS. L.TortoleroS. R.MarkhamC. M.LowB. J.EitelP., and ThickstunP., Impact of the Media on Adolescent Sexual Attitudes and Behaviors, Pediatrics, 116, pp. 303–326, 2005.
35.
HeckmanJ. J.IchimuraH.SmithJ., and ToddP., Sources of Selection Bias in Evaluating Social Programs: An Interpretation of Conventional Measures and Evidence on the Effectiveness of Matching as a Program Evaluation Method, Proceedings of the National Academy of Science USA, 93, pp. 416–420, 1996.
36.
RosenbaumP. and RubinD. B., The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika, 70, pp. 41–55, 1983.
37.
D'AgostinoR. B.Jr., Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group, Statistics and Medicine, 17, pp. 2265–2281, 1998.
38.
CoxD. R., Causality: Some Statistical Aspects, Journal of the Royal Statistical Society, 155, pp. 291–301, 1992.
39.
DehejiaR. H. and WahbaS., Propensity Score Matching Methods for Non-Experimental Causal Studies, Review of Economics and Statistics, 84, pp. 151–161, 2002.
40.
StoneburnerR. L. and Low-BeerD., Population-Level HIV Declines and Behavioural Risk Avoidance in Uganda, Science, 304, pp. 714–718, 2004.
