Abstract
Depression is one of the most disabling psychological disorders worldwide. A very important challenge today consists on addressing the issue of depression from a preventive perspective. A growing body of research supports the efficacy of Internet-based treatments. We have developed an Internet-based program (Smiling is Fun) with the objective of helping people in prevention of depression and anxiety symptoms. It is based on classical cognitive behavioral techniques, such as behavioural activation, and also includes other positive psychological strategies to improve coping ability and positive mood. We applied this intervention program in people who had to cope at least with one stressor in their life producing interference (secondary prevention) and also in people who had to cope at least a stressor and met the diagnosis of an emotional disorder (ED) (tertiary prevention). All participants had minimal to moderate depressive symptoms. The principal objective of the present work is to present the data about the efficacy of this Internet-based intervention as a secondary and tertiary prevention tool comparing both groups.
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References
Haro, J.M., Ayuso-Mateos, J.L., Bitter, I., Demotes-Mainard, J., Leboyer, M., Lewis, S.W., Linszen, D., Walker-Tilley, T.: ROAMER: Roadmap for mental health research in Europe. Int. J. Methods Psychiatr. Res. 23, 1–14 (2014)
Merikangas, K.R., Kalaydjian, A.: Magnitude and impact of comorbidity of mental disorders from epidemiologic surveys. Curr. Opin. Psychiatry 20, 353–358 (2007)
World Health Organization.: Iniciative depression in mental health. Geneva, World Health Organization (2010)
Mathers, C.D., Loncar, D.: Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 3, e442 (2006)
Muñoz, R.F., Cuijpers, P., Smit, F., Barrera, A., Leykin, Y.: Prevention on major depression. Ann. Rev. Clin. Psychol. 6, 181–212 (2010)
Cuijpers, P., Beekman, A.T.F., Reynolds, C.F.: Preventing depression: A global priority. JAMA 307, 1033–1034 (2012)
Nathan, P.E., Gorman, J.M.: A guide to treatments that work. Oxford University Press, New York, NY, US (2007)
Kazdin, A.E., Blase, S.L.: Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspect. Psychol. Sci. 6, 21–37 (2011)
Kazdin, A.E., Rabbitt, S.M.: Novel models for delivering mental health services and reducing the burdens of mental illness. Clin. Psychol. Sci. 1(2), 170–191 (2013)
Richards, D., Richardson, T.: Computer-based psychological treatments for depression: A systematic review and meta-analysis. Clin. Psychol. Rev. 32, 329–342 (2012)
Lecrubier, Y., Sheehan, D., Weiller, E., Amorim, P., Bonora, I., Sheehan, K., Dunbar, G.: The Mini International Neuropsychiatric Interview (M.I.N.I.), a short diagnostic interview: Reliability and validity according to the CIDI. Eur. Psychiatry. 12, 232–241 (1997)
Beck, A.T., Steer, R.A., Brown, G.K.: Manual for the Beck Depression Inventory-II. Psychological Corp, San Antonio, TX (1996)
Sanz, J., Navarro, M.E., Vázquez, C.: Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): Propiedades psicométricas en estudiantes universitarios. Análisis y Modificación de Conducta 29, 239–288 (2003)
Norman, S.B., Cissell, S.H., Means-Christensen, A.J., Stein, M.B.: Development and validation of an overall anxiety severity and impairment scale (OASIS). Depres Anxiety 23, 245–249 (2006)
Bentley, K.H., Gallagher, M.W., Carl, J.R., Barlow, D.H.: Development and validation of the Overall Depression Severity and Impairment Scale. Psycholol. Assess. 26(3), 815–830 (2014)
Watson, D., Clark, L., Tellegen, A.: Development and validation of brief measures of positive and negative affect: The PANAS scales. J. Pers. Soc. Psychol. 54, 1063–1070 (1988)
Sandín, B., Chorot, P., Lostao, L., Joiner, T.E., Santed, M.A., Valiente, R.M.: Escalas panas de afecto positivo y negativo: Validación factorial y transcultural. Psicothema 11, 37–51 (1999)
Cohen, S., Kamarck, T., Mermelstein, R.: A global measure of perceived stress. J. Health Soc. Behav. 24, 386–396 (1983)
Campo, A., Bustos, G., Romero, A.: Consistencia interna y dimensionalidad de la Escala de Estrés Percibido (EEP-10 y EEP-14) en una muestra de universitarias de Bogotá, Colombia. Aquichán. 9 (2009)
Lintvedt, O.K., Griffiths, K.M., Sørensen, K., Østvik, A.R., Wang, C.E., Eisemann, M.Y., Waterloo, K.: Evaluating the effectiveness and efficacy of unguided internet-based self-help intervention for the prevention of depression: A randomized controlled trial. Clin. Psychol. Psychother. 20, 10–27 (2013)
Botella, C., Moragrega, I., Baños, R.Y., García-Palacios, A.: Online predictive tools for intervention in mental illness: The Optimi project. In: Westwood, J.D. et al (eds). Stud Health Technol Inform, vol. 164, pp. 86–94 (2011)
Mira, A., Botella, C., García-Palacios, A., Riera López del Amo, A., Quero, S., Alcañiz, M.Y., Baños, R.M.: An Internet-based program to cope with regulating stress and emotion: An example of positive technology. J. Cyber. Ther. Rehabil. 2(1), 22–23 (2012)
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Mira, A., Bretón-López, J., García-Palacios, A., Baños, R., Botella, C. (2016). Internet-Based Intervention for Secondary and Tertiary Prevention of Depressive Symptoms. In: Serino, S., Matic, A., Giakoumis, D., Lopez, G., Cipresso, P. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2015. Communications in Computer and Information Science, vol 604. Springer, Cham. https://doi.org/10.1007/978-3-319-32270-4_23
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