Top

Published in:

01-08-2019

Examining Intervention Component Dosage Effects on Substance Use Initiation in the Strengthening Families Program: for Parents and Youth Ages 10–14

Authors: Emily J. LoBraico, Gregory M. Fosco, Daniel Max Crowley, Cleve Redmond, Richard L. Spoth, Mark E. Feinberg

Published in: Prevention Science | Issue 6/2019

Abstract

Family-based prevention programs increasingly are being disseminated and can be effective for an array of adolescent problem behaviors, including substance use initiation. Yet, we continue to have little understanding of how and why these programs work. Increased specificity in our understanding of what components drive program effects can facilitate refinement of programs, with potential for greater impact at a lower cost. Using attendance data, previously coded intervention components, and a previously developed propensity model to adjust for potential bias, this study evaluated content component-specific dosage effects of the Strengthening Families Program: for Parents and Youth Ages 10–14 on three substance use initiation outcomes by grade 12. Results indicated that greater dosages of program content related to (a) parental monitoring and behavior management strategies and (b) promoting positive family relationships had potent and robust effects on reduction of risk for initiating drunkenness and marijuana use and (c) self-regulation and stress management had potent and robust effects on reduction of risk for initiating cigarette and marijuana use. Results indicate potential critical components within SFP 10–14 and offer a path forward for continuing work in efforts to optimize this widely disseminated program.

Available only for authorised users

Brody, G. H., Murry, V. M., Gerrard, M., Gibbons, F. X., Molgaard, V., McNair, L., … Neubaum-Carlan, E. (2004). The Strong African American Families Program: Translating research into prevention programming. Child Development, 73, 900–917.

Chambless, D. L., & Hollon, S. D. (1998). Defining empirically supported therapies. Journal of Consulting and Clinical Psychology, 66, 7–18. https://doi.org/10.1037/0022-006X.66.1.7.CrossRefPubMed

Chassin, L. (2008). Juvenile justice and substance use. Future of Children, 18, 165–183.CrossRefPubMed

Coffman, D. L., & Zhong, W. (2012). Assessing mediation using marginal structural models in the presence of confounding and moderation. Psychological Methods, 17, 642–664.CrossRefPubMedPubMedCentral

Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1, 98–101. https://doi.org/10.1023/B:PREV.0000037641.26017.00.CrossRef

Collins, L. M., Murphy, S. A., Nair, V. N., & Strecher, V. J. (2005). A strategy for optimizing and evaluating behavioral interventions. Annals of Behavioral Medicine, 30, 65–73.CrossRefPubMed

Conger, K. J., Williams, S. T., Little, W. M., Masyn, K. E., & Shebloski, B. (2009). Development of mastery during adolescence: The role of family problem-solving. Journal of Health and Social Behavior, 50, 99–114. https://doi.org/10.1177/002214650905000107.CrossRefPubMedPubMedCentral

Cordova, D., Heinze, J., Mistry, R., Hsieh, H., Stoddard, S., Salas-Wright, C., & Zimmerman, M. (2014). Family functioning and parent support trajectories and substance use and misuse among minority urban adolescents: A latent class growth analysis. Substance Use & Misuse, 49, 1908–1919. https://doi.org/10.1016/j.pestbp.2011.02.012.Investigations.CrossRef

Crowley, D. M., Coffman, D. L., Feinberg, M. E., Greenberg, M. T., & Spoth, R. L. (2014). Evaluating the impact of implementation factors on family-based prevention programming: Methods for strengthening causal inference. Prevention Science, 15, 246–255. https://doi.org/10.1007/s11121-012-0352-8.CrossRefPubMedPubMedCentral

D’Agostino, R., & Rubin, D. B. (2000). Estimating and using propensity scores with partially missing data. Journal of the American Statistical Associationcal Association, 95, 749–759.CrossRef

De Martini-Scully, D., Bray, M. A., & Kehle, T. J. (2000). A packaged intervention to reduce disruptive behaviors in general education students. Psychology in the Schools, 37, 149–156. https://doi.org/10.1002/(SICI)1520-6807(200003)37:2<149::AID-PITS6>3.0.CO;2-K.CrossRef

Degenhardt, L., Stockings, E., Patton, G., Hall, W. D., & Lynskey, M. (2016). The increasing global health priority of substance use in young people. The Lancet Psychiatry, 3, 251–264. https://doi.org/10.1016/S2215-0366(15)00508-8.CrossRefPubMed

DeWit, D. J., Adlaf, E. M., Offord, D. R., & Ogborne, A. C. (2000). Age at first alcohol use: A risk factor for the development of alcohol disorders. The American Journal of Psychiatry, 157, 745–750. https://doi.org/10.1176/appi.ajp.157.5.745.CrossRefPubMed

Dishion, T. J., & Patterson, G. R. (1999). Model building in developmental psychopathology: A pragmatic approach to understanding and intervention. Journal of Clinical Child & Adolescent Psychology, 28, 502–512. https://doi.org/10.1207/S15374424JCCP2804_10.CrossRef

Dumas, J. E., Moreland, A. D., Gitter, A. H., Pearl, A. M., & Nordstrom, A. H. (2008). Engaging parents in preventive parenting groups: Do ethnic, socioeconomic, and belief match between parents and group leaders matter? Health Education & Behavior, 35, 619–633. https://doi.org/10.1177/1090198106291374.CrossRef

Durlak, J. A., & DuPre, E. P. (2008). Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. American Journal of Community Psychology.

Eiden, R. D., Lessard, J., Colder, C. R., Livingston, J., Casey, M., & Leonard, K. E. (2016). Developmental cascade model for adolescent substance use from infancy to late adolescence. Developmental Psychology, 52, 1619–1633.CrossRefPubMedPubMedCentral

Fairchild, A. J., & Mackinnon, D. P. (2014). Factors affecting implementation: Cultural adaptation and training. In Z. Sloboda & H. Petras (Eds.), Defining prevention science (pp. 315–334). New York: Springer Science + Business Media.

Fleming, C. B., Mason, W. A., Haggerty, K. P., Thompson, R. W., Fernandez, K., Casey-Goldstein, M., & Oats, R. G. (2015). Predictors of participation in parenting workshops for improving adolescent behavioral and mental health: Results from the common sense parenting trial. Journal of Primary Prevention, 36, 105–118.CrossRefPubMed

Forgatch, M. S., Patterson, G. R., & DeGarmo, D. S. (2005). Evaluating fidelity: Predictive validity for a measure of competent adherence to the Oregon model of parent management training. Behavior Therapy, 36, 3–13. https://doi.org/10.1016/S0005-7894(05)80049-8.CrossRefPubMedPubMedCentral

Fosco, G. M., Caruthers, A. S., & Dishion, T. J. (2012a). A six-year predictive test of adolescent family relationship quality and effortful control pathways to emerging adult social and emotional health. Journal of Family Psychology, 26, 565–575.CrossRefPubMedPubMedCentral

Fosco, G. M., Stormshak, E. A., Dishion, T. J., & Winter, C. E. (2012b). Family relationships and parental monitoring during middle school as predictors of early adolescent problem behavior. Journal of Clinical Child and Adolescent Psychology, 41, 202–213.CrossRefPubMedPubMedCentral

Fosco, G. M., Frank, J. L., Stormshak, E. A., & Dishion, T. J. (2013). Opening the “Black box”: Family check-up intervention effects on self-regulation that prevents growth in problem behavior and substance use. Journal of School Psychology, 51, 455–468.CrossRefPubMedPubMedCentral

Fosco, G. M., Seeley, J. R., Dishion, T. J., Smolkowski, K., Stormshak, E. A., Downey-McCarthy, R., … Strycker, L. A. (2014). Lessons learned from scaling up the ecological approach to family interventions and treatment programs in middle schools. In M. Weist, N. Lever, C. Bradshaw, & J. Owens (Eds.), Handbook of school mental health (pp. 237–251). Boston, MA: Springer.

Franks, R., & Schroeder, J. (2013). Applying implementation science in early childhood programs and systems. In T. Halle, A. Metz, & I. Martinez-Beck (Eds.), Applying implementation science to early care and education programs and systems: Exploring a new frontier (pp. 5–19). Baltimore: Paul H. Brookes.

Gardner, T. W., Dishion, T. J., & Connell, A. M. (2008). Adolescent self-regulation as resilience: Resistance to antisocial behavior within the deviant peer context. Journal of Abnormal Child Psychology, 36, 273–284. https://doi.org/10.1007/s10802-007-9176-6.CrossRefPubMed

Gottfredson, D. C., Cook, T. D., Gardner, F. E. M., Gorman-Smith, D., Howe, G. W., Sandler, I. N., & Zafft, K. M. (2015). Standards of evidence for efficacy, effectiveness, and scale-up research in prevention science: Next generation. Prevention Science, 16, 893–926.CrossRefPubMedPubMedCentral

Gross, D., Julion, W., & Fogg, L. (2001). What motivates participation and dropout among low-income urban families of color in a prevention intervention? Family Relations, 50, 246–254. https://doi.org/10.1111/j.1741-3729.2001.00246.x.CrossRef

Hanisch, C., Hautmann, C., Pluck, J., Eichelberger, I., & Dopfner, M. (2014). The prevention program for externalizing problem behavior (PEP) improves child behavior by reducing negative parenting: Analysis of mediating processes in a randomized controlled trial. Journal of Child Psychology and Psychiatry, 55. https://doi.org/10.1111/jcpp.12177.

Henderson, C. E., Rowe, C. L., Dakof, G. A., Hawes, S. W., & Liddle, H. A. (2009). Parenting practices as mediators of treatment effects in an early-intervention trial of multidimensional family therapy. The American Journal of Drug and Alcohol Abuse, 35, 220–226.CrossRefPubMedPubMedCentral

Hukkelberg, S. S., & Ogden, T. (2013). Working alliance and treatment fidelity as predictors of externalizing problem behaviors in parent management training. Journal of Consulting and Clinical Psychology, 81, 1010–1020. https://doi.org/10.1037/a0033825.CrossRefPubMed

Kang, J. D. Y., & Schafer, J. L. (2007). Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science, 22, 523–539. https://doi.org/10.1214/07-STS227.CrossRef

Kazdin, A. E. (2007). Mediators and mechanisms of change in psychotherapy research. Annual Review of Clinical Psychology, 3, 1–27. https://doi.org/10.1146/annurev.clinpsy.3.022806.091432.CrossRefPubMed

Kumpfer, K. L., Molgaard, V., & Spoth, R. L. (1996). The Strengthening Families Program for the prevention of delinquency and drug use. In R. D. Peters & R. J. McMahon (Eds.), Preventing childhood disorders, substance abuse, and delinquency (pp. 241–267). Thousand Oaks, C.A.: Sage.CrossRef

Liddle, H. A. (2004). Family-based therapies for adolescent alcohol and drug use: Research contributions and future research needs. Addiction, 99, 76–92.CrossRefPubMed

Lunceford, J. K., & Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study. Statistics in Medicine, 23, 2937–2960. https://doi.org/10.1002/sim.1903.CrossRefPubMed

McGue, M., & Iacono, W. G. (2005). The association of early adolescent problem behavior with adult psychopathology. The American Journal of Psychiatry, 162, 1118–1124.CrossRefPubMed

Odgers, C. L., Caspi, A., Nagin, D. S., Piquero, A. R., Slutske, W. S., Milne, B. J., … Moffitt, T. E. (2008). Is it important to prevent early exposure to drugs and alcohol among adolescents? Psychological Science, 19, 1037–1044.

Patel, C. C., Fairchild, A. J., & Prinz, R. J. (2017). Potential mediators in parenting and family intervention: Quality of mediation analyses. Clinical Child and Family Psychology Review, 20, 127–145. https://doi.org/10.1007/s10567-016-0221-2.CrossRefPubMedPubMedCentral

Pokhrel, P., Herzog, T. A., Black, D. S., Zaman, A., Riggs, N. R., & Sussman, S. (2013). Adolescent neurocognitive development, self-regulation, and school-based drug use prevention. Prevention Science, 14, 218–228. https://doi.org/10.1007/s11121-012-0345-7.CrossRefPubMedPubMedCentral

R Core Team. (2016). R: A language and environment for statiscal computing. Vienna, Austria. Retrieved from https://www.r-project.org.

Redmond, C., Spoth, R., Shin, C., Schainker, L. M., Greenberg, M. T., & Feinberg, M. (2009). Long-term protective factor outcomes of evidence-based interventions implemented by community teams through a community-university partnership. Journal of Primary Prevention, 30, 513–530. https://doi.org/10.1007/s10935-009-0189-5.CrossRefPubMed

Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11, 550–560.CrossRefPubMed

Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrica, 70, 41–55.CrossRef

Sandler, I. N., Schoenfelder, E. N., Wolchik, S. A., & Mackinnon, D. P. (2011). Long-term impact of prevention programs to promote effective parenting: Lasting effects but uncertain processes. Annual Review of Psychology, 62, 299–320.CrossRefPubMedPubMedCentral

Spoth, R., & Redmond, C. (1995). Parent motivation to enroll in parenting skills programs: A model of family context and health belief predictors. Journal of Family Psychology, 9, 294–310. https://doi.org/10.1037/0893-3200.9.3.294.CrossRef

Spoth, R., Guyll, M., & Day, S. X. (2002). Universal family-focused interventions in alcohol-use disorder prevention: Cost-effectiveness and cost-benefit analyses of two interventions. Journal of Studies on Alcohol, 63, 219–228.CrossRefPubMed

Spoth, R., Clair, S., Greenberg, M., Redmond, C., & Shin, C. (2007). Toward dissemination of evidence-based family interventions: Maintenance of community-based partnership recruitment results and associated factors. Journal of Family Psychology, 21, 137–146.CrossRefPubMedPubMedCentral

Spoth, R., Trudeau, L., Guyll, M., Shin, C., & Redmond, C. (2009). Universal intervention effects on substance use among young adults mediated by delayed adolescent substance initiation. Journal of Consulting and Clinical Psychology, 77, 620–632.CrossRefPubMedPubMedCentral

Spoth, R., Redmond, C., Shin, C., Greenberg, M., Feinberg, M., & Schainker, L. (2013). PROSPER community-university partnership delivery system effects on substance misuse through 6 1/2 years past baseline from a cluster randomized controlled intervention trial. Preventive Medicine, 56, 190–196. https://doi.org/10.1016/j.ypmed.2012.12.013.CrossRefPubMed

Spoth, R., Redmond, C., Mason, W. A., Schainker, L., & Borduin, L. (2015). Research on the Strengthening Families Program for Parents and Youth Ages 10–14: Long-term effects, mechanisms, translation to public health, prosper partnership scale up. In L. M. Scheier (Ed.), Handbook of adolescent drug use prevention: Research, intervention strategies, and practice (2nd ed., pp. 267–292). Washington, D.C.: American Psychological Association.CrossRef

Trentacosta, C. J., & Shaw, D. S. (2009). Emotional self-regulation, peer rejection, and antisocial behavior: Developmental associations from early childhood to early adolescence. Journal of Applied Developmental Psychology. https://doi.org/10.1016/j.appdev.2008.12.016.

van Buuren, S. & Groothuis-Oudshoorn, K. (2011). Mice: Multiple imputation by chained equations in R. Journal of Statistical Software, 45. https://doi.org/10.18637/jss.v045.i03

Van Ryzin, M. J., & Fosco, G. M. (2016). Family-based approaches to prevention. In M. J. Van Ryzin, K. L. Kumpfer, G. M. Fosco, & M. T. Greenberg (Eds.), Family-based prevention programs for children and adolescents (1st ed., pp. 1–20). Psychology Press.

Van Ryzin, M. J., Roseth, C. J., Fosco, G. M., Lee, Y., & Chen, I.-C. (2016). A component-centered meta-analysis of family-based prevention programs for adolescent substance use. Clinical Psychology Review, 45, 72–80.CrossRefPubMedPubMedCentral

Varvil-Weld, L., Crowley, D. M., Turrisi, R., Greenberg, M. T., & Mallett, K. A. (2014). Hurting, helping, or neutral? The effects of parental permissiveness toward adolescent drinking on college student alcohol use and problems. Prevention Science, 15, 716–724.CrossRefPubMedPubMedCentral

Title: Examining Intervention Component Dosage Effects on Substance Use Initiation in the Strengthening Families Program: for Parents and Youth Ages 10–14
Authors: Emily J. LoBraico
Gregory M. Fosco
Daniel Max Crowley
Cleve Redmond
Richard L. Spoth
Mark E. Feinberg
Publication date: 01-08-2019
Publisher: Springer US
Published in: Prevention Science / Issue 6/2019
Print ISSN: 1389-4986
Electronic ISSN: 1573-6695
DOI: https://doi.org/10.1007/s11121-019-00994-7

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Examining Intervention Component Dosage Effects on Substance Use Initiation in the Strengthening Families Program: for Parents and Youth Ages 10–14

Abstract

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 6/2019

Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP

Should We Activate Risk Perceptions in the Context of Suicide Prevention? Examining Fear Appeals, Help-Seeking Determinants, and Help-Seeking Sources Among University Employees Who Suffer from Depression

Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial

Using Zoning as a Public Health Tool to Reduce Oversaturation of Alcohol Outlets: an Examination of the Effects of the New “300 Foot Rule” on Packaged Goods Stores in a Mid-Atlantic City

Perceived Social Acceptability and Longitudinal Trends in Adolescent Cigarette Smoking

Demographic Moderation of the Prediction of Adolescent Alcohol Involvement Trajectories