دورية أكاديمية

Who Benefits from School-Based Teen Pregnancy Prevention Programs? Examining Multidimensional Moderators of Program Effectiveness Across Four Studies.

التفاصيل البيبلوغرافية
العنوان: Who Benefits from School-Based Teen Pregnancy Prevention Programs? Examining Multidimensional Moderators of Program Effectiveness Across Four Studies.
المؤلفون: Vasilenko SA; Syracuse University, 144G White Hall, Syracuse, NY, 13244, USA. savasile@syr.edu., Odejimi OA; Children's Hospital Los Angeles, Los Angeles, USA., Glassman JR; Stanford University, Stanford, USA., Potter SC; ETR Associates, Scotts Valley, USA., Drake PM; ETR Associates, Scotts Valley, USA., Coyle KK; ETR Associates, Scotts Valley, USA., Markham C; University of Texas Health Science Center, Houston, USA., Emery ST; University of Texas Health Science Center, Houston, USA., Peskin MF; University of Texas Health Science Center, Houston, USA., Shegog R; University of Texas Health Science Center, Houston, USA., Addy RC; University of Texas Health Science Center, Houston, USA., Clark LF; University of Southern California, Los Angeles, USA.
المصدر: Prevention science : the official journal of the Society for Prevention Research [Prev Sci] 2023 Nov; Vol. 24 (8), pp. 1535-1546. Date of Electronic Publication: 2022 Aug 22.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 100894724 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-6695 (Electronic) Linking ISSN: 13894986 NLM ISO Abbreviation: Prev Sci Subsets: MEDLINE
أسماء مطبوعة: Original Publication: New York, NY : Kluwer Academic/Plenum Publishers, c2000-
مواضيع طبية MeSH: Pregnancy in Adolescence*/prevention & control, Pregnancy ; Adolescent ; Female ; Humans ; Program Evaluation ; Sex Education/methods ; Schools ; Students ; School Health Services
مستخلص: Recent research has suggested the importance of understanding for whom programs are most effective (Supplee et al., 2013) and that multidimensional profiles of risk and protective factors may moderate the effectiveness of programs (Lanza & Rhoades, 2012). For school-based prevention programs, moderators of program effectiveness may occur at both the individual and school levels. However, due to the relatively small number of schools in most individual trials, integrative data analysis across multiple studies may be necessary to fully understand the multidimensional individual and school factors that may influence program effectiveness. In this study, we applied multilevel latent class analysis to integrated data across four studies of a middle school pregnancy prevention program to examine moderators of program effectiveness on initiation of vaginal sex. Findings suggest that the program may be particularly effective for schools with USA-born students who speak another language at home. In addition, findings suggest potential positive outcomes of the program for individuals who are lower risk and engaging in normative dating or individuals with family risk. Findings suggest potential mechanisms by which teen pregnancy prevention programs may be effective.
(© 2022. Society for Prevention Research.)
References: Andrews, R. L., & Currim, I. S. (2003). A comparison of segment retention criteria for finite mixture logit models. Journal of Marketing Research, 40, 235–243. (PMID: 10.1509/jmkr.40.2.235.19225)
Bainter, S. A., & Curran, P. J. (2015). Advantages of integrative data analysis for developmental research. Journal of Cognition and Development, 16, 1–10. (PMID: 10.1080/15248372.2013.87172125642149)
Bloom, H. S., & Michalopoulos, C. (2013). When is the story in the subgroups? Prevention Science, 14, 179–188. (PMID: 10.1007/s11121-010-0198-x21279547)
Curran, P. J., & Hussong, A. M. (2009). Integrative data analysis: The simultaneous analysis of multiple data sets. Psychological Methods, 14, 81. (PMID: 10.1037/a0015914194856232777640)
Curran, P. J., McGinley, J. S., Bauer, D. J., Hussong, A. M., Burns, A., Chassin, L., & Zucker, R. (2014). A moderated nonlinear factor model for the development of commensurate measures in integrative data analysis. Multivariate Behavioral Research, 49, 214–231. (PMID: 10.1080/00273171.2014.889594259605754423418)
Dziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power, and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 21, 534–552. (PMID: 10.1080/10705511.2014.91981925328371)
Enders, C. K. (2010). Applied missing data analysis. Guilford press.
Fonseca, J. R., & Cardoso, M. G. (2007). Mixture-model cluster analysis using information theoretical criteria. Intelligent Data Analysis, 11, 155–173. (PMID: 10.3233/IDA-2007-11204)
Henry, K. L., & Muthén, B. (2010). Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors. Structural Equation Modeling, 17, 193–215. (PMID: 10.1080/10705511003659342210576512968712)
Hussong, A. M., Curran, P. J., & Bauer, D. J. (2013). Integrative data analysis in clinical psychology research. Annual Review of Clinical Psychology, 9, 61–89. (PMID: 10.1146/annurev-clinpsy-050212-185522233942263924786)
Kirby, D. B., & Lepore, G. (2007). Sexual risk and protective factors factors affecting teen sexual behavior, pregnancy, childbearing and sexually transmitted disease: Which are important? Which can you change? Scotts Valley, CA: ETR Associates.
Lanza, S. T., & Rhoades, B. L. (2012). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science. https://doi.org/10.1007/s11121-011-0201-1. (PMID: 10.1007/s11121-011-0201-1222464293372905)
Lee, J., & Hahm, H. C. (2010). Acculturation and sexual risk behaviors among Latina adolescents transitioning to young adulthood. Journal of Youth and Adolescence, 39, 414–427. (PMID: 10.1007/s10964-009-9495-820020189)
Little, R. J., & Rubin, D. B. (2019). Statistical analysis with missing data (Vol. 793). John Wiley & Sons.
Lukočienė, O., Varriale, R., & Vermunt, J. K. (2010). 6. The simultaneous decision (s) about the number of lower-and higher-level classes in multilevel latent class analysis. Sociological Methodology, 40(1), 247–283.
Marks, A. K., Ejesi, K., & García Coll, C. (2014). Understanding the US immigrant paradox in childhood and adolescence. Child Development Perspectives, 8, 59–64. (PMID: 10.1111/cdep.12071)
Peskin, M. F., Coyle, K. C., Anderson, P. M., Laris, B. A., Glassman, J. A., Franks, H. M., Thiel, M. A., Potter, S. C., Unti, T., Edwards, S., Johnson-Baker, K., Cuccaro, P., Diamond, P., Markham, C. M., & Emery, S. T. (2019). It’s Your Game…Keep It Real!: Replication of an evidence-based HIV, STI, and teen pregnancy prevention program in southeast Texas. Journal of Primary Prevention, 40, 297–323. https://doi.org/10.1007/s10935-019-00549-0. (PMID: 10.1007/s10935-019-00549-031028508)
Peskin, M. F., Shegog, R., Markham, C. M., Thiel, M., Baumler, E. R., Addy, R. C., Gabay, E. K., & Tortolero Emery, S. (2015a). Efficacy of It’s Your Game-Tech: A computer-based sexual health education program for middle school youth. Journal of Adolescent Health, 56, 515–521. https://doi.org/10.1016/j.jadohealth.2015.01.001. (PMID: 10.1016/j.jadohealth.2015.01.001)
Potter, S. C., Coyle, K. K., Glassman, J. R., Kershner, S., & Prince, M. S. (2016). It’s Your Game… Keep It Real in South Carolina: A group randomized trial evaluating the replication of an evidence-based adolescent pregnancy and sexually transmitted infection prevention program. American Journal of Public Health, 106, S60–S69. (PMID: 10.2105/AJPH.2016.303419276894965049477)
Raffaelli, M., Kang, H., & Guarini, T. (2012). Exploring the immigrant paradox in adolescent sexuality: An ecological perspective.
Rothman, A. J. (2013). Exploring connections between moderators and mediators: Commentary on subgroup analyses in intervention research. Prevention Science, 14(2), 189–192. https://doi.org/10.1007/s11121-012-0333-y.
Rothwell, P. M. (2005). Subgroup analysis in randomised controlled trials: importance, indications, and interpretation. The Lancet, 365(9454), 176–186. https://doi.org/10.1016/S0140-6736(05)17709-5.
Supplee, L. H., Kelly, B. C., MacKinnon, D. M., & Barofsky, M. Y. (2013). Introduction to the special issue: Subgroup analysis in prevention and intervention research. Prevention Science, 14, 107–110. (PMID: 10.1007/s11121-012-0335-923090721)
Tortolero, S. R., Markham, C. M., Peskin, M. F., Shegog, R., Addy, R. C., Escobar-Chaves, S. L., & Baumler, E. R. (2010). It’s Your Game, Keep It Real: Delaying sexual behavior with an effective middle school program. Journal of Adolescent Health, 46, 169–179. https://doi.org/10.1016/j.jadohealth.2009.06.008,PMCID:PMC2818029. (PMID: 10.1016/j.jadohealth.2009.06.008,PMCID:PMC2818029)
Vasilenko, S. A., Glassman, J. R., Kugler, K. C., Peskin, M. F., Shegog, R., Markham, C., Tortolero Emory, S., & Coyle, K. K. (2019). Examining the effects of an adolescent pregnancy prevention program by risk profiles: A more nuanced approach to program evaluation. Journal of Adolescent Health, 64, 732–736. https://doi.org/10.1016/j.jadohealth.2018.12.003. (PMID: 10.1016/j.jadohealth.2018.12.003)
Vermunt, J. K. (2003). Multilevel latent class models. Sociological Methodology, 33, 213–239. (PMID: 10.1111/j.0081-1750.2003.t01-1-00131.x)
Vermunt, J. K., & Magidson, J. (2016). Upgrade manual for Latent GOLD 5.1. Belmont, MA: Statistical Innovations.
Zimmer-Gembeck, M. J., & Helfand, M. (2008). Ten years of longitudinal research on U.S. adolescent sexual behavior: Developmental correlates of sexual intercourse, and the importance of age, gender and ethnic background. Developmental Review, 28(2), 153–224. https://doi.org/10.1016/j.dr.2007.06.001.
معلومات مُعتمدة: 5 PHEPA 000003-02-00 Office of Population Affairs
فهرسة مساهمة: Keywords: Integrative data analysis; Latent class analysis; Sexual initiation; Teen pregnancy prevention programs
تواريخ الأحداث: Date Created: 20220822 Date Completed: 20231128 Latest Revision: 20231128
رمز التحديث: 20240628
DOI: 10.1007/s11121-022-01423-y
PMID: 35994193
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-6695
DOI:10.1007/s11121-022-01423-y