An Internet-based positive psychology program: Strategies to improve effectiveness and engagement

Journal of Positive Psychology

Volumn 9, Issue 6, 2014, Pages 494-501

  Redzic, N M ^a,b   Taylor, K ^a,b   Chang, V ^b   Trockel, M ^b   Shorter, A ^b   Taylor, C B ^b  

^a PGSP Stanford PsyD Consortium   (United States)

^b STANFORD UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

adolescents; depression; Internet based interventions; prevention; targeted prevention programs; universal and

Indexed keywords

EID: 84926168307     PISSN: 17439760     EISSN: 17439779     Source Type: Journal    
DOI: 10.1080/17439760.2014.936966     Document Type: Article

References (26)

1. Abascal, L., Brown, J., Winzelberg, A., Dev, P., & Taylor, C. (2004). Combining universal and targeted prevention for school-based eating disorder programs. International Journal of Eating Disorders, 35(1), 1–9.10.1002/(ISSN)1098-108X
2. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
3. Beck, J. (2011). Cognitive behavioral therapy, second edition: Basics and beyond. New York, NY: Guilford Press.
4. Brunwasser, S., Gillham, J., & Kim, E. (2009). A meta-analytic review of the Penn Resiliency Program’s effect on depressive symptoms. Journal of Consulting and Clinical Psychology, 77, 1042–1054.10.1037/a0017671
5. Calear, A., Christensen, H., Mackinnon, A., Griffiths, K., & O’Kearney, R. (2009). The YouthMood project: A cluster randomized controlled trial of an online cognitive behavioral program with adolescents. Journal of Consulting and Clinical Psychology, 77, 1021–1032.10.1037/a0017391
6. DiClemente, C., Schlundt, D., & Gemmell, L. (2004). Readiness and stages of change in addiction treatment. American Journal on Addictions, 13, 103–119.10.1080/10550490490435777
7. Evans, D., Foa, E., Gur, R., Hendin, H., O'Brien, C., Seligman, M., & Walsh, B. (2005). Treating and preventing adolescent mental health disorders. New York, NY: Oxford University Press.10.1093/9780195173642.001.0001
8. Garber, J., Clarke, G. N., Weersing, V. R., Beardslee, W. R., Brent, D. A., Gladstone, T. R., … Iyengar, S. (2009). Prevention of depression in at-risk adolescents. Journal of the American Medical Association, 301, 2215–2224.10.1001/jama.2009.788
9. Gladstone, T., & Beardslee, W. (2009). The prevention of depression in children and adolescents: A review. Canadian Journal of Psychiatry, 54, 212–221.
10. Gladstone, T., & Kaslow, N. (1995). Depression and attributions in children and adolescents: A meta-analytic review. Journal of Abnormal Child Psychology, 23, 597–606.10.1007/BF01447664
11. Grant, K., Compas, B., Stuhlmacher, A., Thurm, A., McMahon, S., & Halpert, J. (2003). Stressors and child and adolescent psychopathology: Moving from markers to mechanisms of risk. Psychological Bulletin, 129, 447–466.10.1037/0033-2909.129.3.447
12. Horowitz, J., & Garber, J. (2006). The prevention of depressive symptoms in children and adolescents: A meta-analytic review. Journal of Consulting and Clinical Psychology, 74, 401–415.10.1037/0022-006X.74.3.401
13. Horowitz, J. L., Garber, J., Ciesla, J. A., Young, J. F., & Mufson, L. (2007). Prevention of depressive symptoms in adolescents: A randomized trial of cognitive-behavioral and interpersonal prevention programs. Journal of Consulting and Clinical Psychology, 75, 693–706.
14. Kessler, R., Avenevoli, S., & Ries Merikangas, K. (2001). Mood disorders in children and adolescents: An epidemiologic perspective. Biological Psychiatry, 49, 1002–1014.10.1016/S0006-3223(01)01129-5
15. Lewinsohn, P., Joiner, T., & Rohde, P. (2001). Evaluation of cognitive diathesis-stress models in predicting major depressive disorder in adolescents. Journal of Abnormal Psychology, 110, 203–215.10.1037/0021-843X.110.2.203
16. Lewinsohn, P., Solomon, A., Seeley, J., & Zeiss, A. (2000). Clinical implications of “subthreshold” depressive symptoms. Journal of Abnormal Psychology, 109, 345–351.10.1037/0021-843X.109.2.345
17. Luce, K., Osborne, M., Winzelberg, A., & Das, S. (2005). Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs. International Journal of Eating Disorders, 37, 220–226.10.1002/(ISSN)1098-108X
18. Miller, N., & Taylor, C. (2005). Lifestyle management for patients with coronary heart disease. Champaign, IL: Human Kinetics.
19. Mohr, D., Cheung, K., Schueller, S., Hendricks Brown, C., & Duan, N. (2013). Continuous evaluation of evolving behavioral intervention technologies. American Journal of Preventive Medicine, 45, 517–523.10.1016/j.amepre.2013.06.006
20. Nolan, S., Flynn, C., & Garber, J. (2003). Prospective relations between rejection and depression in young adolescents. Journal of Personality and Social Psychology, 85, 745–755.10.1037/0022-3514.85.4.745
21. Nolen-Hoeksema, S., Girgus, J., & Seligman, M. (1992). Predictors and consequences of childhood depressive symptoms: A 5-year longitudinal study. Journal of Abnormal Psychology, 101, 405–422.10.1037/0021-843X.101.3.405
22. Radloff, L. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.10.1177/014662167700100306
23. Seligman, M., Ernst, R., Gillham, J., Reivich, K., & Linkins, M. (2009). Positive education: Positive psychology and classroom interventions. Oxford Review of Education, 35, 293–311.10.1080/03054980902934563
24. Seligman, M., Steen, T., Park, N., & Peterson, C. (2005). Positive psychology progress: Empirical validation of interventions. American Psychologist, 60, 410–421.10.1037/0003-066X.60.5.410
25. Skinner, H. A., Maley, O., & Norman, C. D. (2006). Developing Internet-based eHealth promotion programs: The spiral technology action research (STAR) model. Health Promotion Practice, 7, 406–417.10.1177/1524839905278889
26. Wilfley, D., Agras, W. S., & Taylor, C. B. (2013). Reducing the burden of eating disorders: A model for population based prevention and treatment for university and college campuses. International Journal of Eating Disorders, 46, 529–532.10.1002/eat.v46.5