Efficacy of Cyberbullying Prevention on Somatic Symptoms-Randomized Controlled Trial Applying a Reasoned Action Approach.


Journal

Journal of research on adolescence : the official journal of the Society for Research on Adolescence
ISSN: 1532-7795
Titre abrégé: J Res Adolesc
Pays: United States
ID NLM: 9109126

Informations de publication

Date de publication:
12 2019
Historique:
pubmed: 6 7 2018
medline: 24 6 2020
entrez: 6 7 2018
Statut: ppublish

Résumé

The theory of reasoned action (ToRA) has been proposed as a framework for cyberbullying prevention design, targeting attitudes and norms. In this study effects of a long (10 weekly sessions) and a short (one day, four sessions) cyberbullying prevention program based on the ToRA were compared with a control group over 9 months. Longitudinal data from 722 students (mean age = 13.36) on cyberbullying, somatic symptoms, attitudes, and norms were analyzed within a structural equation model. Participation in the long intervention group significantly reduced cyberbullying (d = -0.584) and somatic symptoms (d = -0.316). No between-group differences emerged for attitudes and norms. Developmental trajectories and associations were found to be as suggested by ToRA in both cross-sectional and change-score analyses.

Identifiants

pubmed: 29974545
doi: 10.1111/jora.12429
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

908-923

Informations de copyright

© 2018 Society for Research on Adolescence.

Références

Aboujaoude, E., Savage, M. W., Starcevic, V., & Salame, W. O. (2015). Cyberbullying: Review of an old problem gone viral. Journal of Adolescent Health, 57, 10-18. https://doi.org/10.1016/j.jadohealth.2015.04.011
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2012). Martin Fishbein's legacy: The reasoned action approach. Annals of the American Academy of Political and Social Science, 640, 11-27. https://doi.org/10.1177/0002716211423363
Ajzen, I., & Fishbein, M. (2008). Scaling and testing multiplicative combinations in the expectancy-value model of attitudes. Journal of Applied Social Psychology, 38, 2222-2247. https://doi.org/10.1111/j.1559-1816.2008.00389.x
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40, 471-499. https://doi.org/10.1348/014466601164939
Asparouhov, T., & Muthén, B. O. (2006). Multilevel modeling of complex survey data. In Proceedings of the Joint Statistical Meeting in Seattle, August 2006, ASA Section on Survey Research Methods (pp. 2718-2726). Alexandria, VA: American Statistical Association.
Austin, A. E., & Shanahan, M. E. (2018). Association of childhood abuse and neglect with prescription opioid misuse: Examination of mediation by adolescent depressive symptoms and pain. Children and Youth Services Review, 86, 84-93. https://doi.org/10.1016/j.childyouth.2018.01.023
Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9, 78-102. https://doi.org/10.1207/S15328007SEM0901_5
Bandura, A. (1978). Social-learning theory of aggression. Journal of Communication, 28, 12-29. https://doi.org/10.1111/j.1460-2466.1978.tb01621.x
Barlett, C. P. (2017). From theory to practice: Cyberbullying theory and its application to intervention. Computers in Human Behavior, 72, 269-275. https://doi.org/10.1016/j.chb.2017.02.060
Barlett, C. P., & Chamberlin, K. (2017). Examining cyberbullying across the lifespan. Computers in Human Behavior, 71, 444-449. https://doi.org/10.1016/j.chb.2017.02.009
Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling: A Multidisciplinary Journal, 13, 186-203. https://doi.org/10.1207/s15328007sem1302_2
Boulton, M., Lloyd, J., Down, J., & Marx, H. (2012). Predicting undergraduates’ self-reported engagement in traditional and cyberbullying from attitudes. Cyberpsychology Behavior and Social Networking, 15, 141-147. https://doi.org/10.1089/cyber.2011.0369
Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21, 166-179. https://doi.org/10.1111/j.1532-7795.2010.00721.x
Carney, T., Myers, B. J., Louw, J., & Okwundu, C. I. (2016). Brief school-based interventions and behavioural outcomes for substance-using adolescents. Cochrane Database of Systematic Reviews, 1, CD008969. https://doi.org/10.1002/14651858.CD008969.pub3
Chen, L., Ho, S. S., & Lwin, M. O. (2017). A meta-analysis of factors predicting cyberbullying perpetration and victimization: From the social cognitive and media effects approach. New Media and Society, 19, 1194-1213. https://doi.org/10.1177/1461444816634037
Coman, E. N., Picho, K., McArdle, J. J., Villagra, V., Dierker, L., & Iordache, E. (2013). The paired t-test as a simple latent change score model. Frontiers in Psychology, 4, 1-3. https://doi.org/10.3389/fpsyg.2013.00738
Cozzi, G., Minute, M., Skabar, A., Pirrone, A., Jaber, M., Neri, E., … Barbi, E. (2017). Somatic symptom disorder was common in children and adolescents attending an emergency department complaining of pain. Acta Paediatrica, 106, 586-593. https://doi.org/10.1111/apa.13741
Cunningham, R. M., Chermack, S. T., Zimmerman, M. A., Shope, J. T., Bingham, C. R., Blow, F. C., & Walton, M. A. (2012). Brief motivational interviewing intervention for peer violence and alcohol use in teens: One-year follow-up. Pediatrics, 129, 1083-1090. https://doi.org/10.1542/peds.2011-3419
Del Rey, R., Casas, J. A., & Ortega, R. (2012). The ConRed program, an evidence-based practice. Comunicar, 39, 129-137. https://doi.org/10.3916/C39-2012-03-03
Del Rey, R., Casas, J. A., & Ortega, R. (2016a). Impact of the ConRed program on different cyberbulling roles. Aggressive Behavior, 42, 123-135. https://doi.org/10.1002/ab.21608
Del Rey, R., Casas, J. A., Ortega-Ruiz, R., Schultze-Krumbholz, A., Scheithauer, H., Smith, P., … Plichta, P. (2015). Structural validation and cross-cultural robustness of the European Cyberbullying Intervention Project Questionnaire. Computers in Human Behavior, 50, 141-147. https://doi.org/10.1016/j.chb.2015.03.065
Del Rey, R., Lazuras, L., Casas, J. A., Barkoukis, V., Ortega-Ruiz, R., & Tsorbatzoudis, H. (2016b). Does empathy predict (cyber) bullying perpetration, and how do age, gender and nationality affect this relationship? Learning and Individual Differences, 45, 275-281. https://doi.org/10.1016/j.lindif.2015.11.021
Della Cioppa, V., O'Neil, A., & Craig, W. (2015). Learning from traditional bullying interventions: A review of research on cyberbullying and best practice. Aggression and Violent Behavior, 23, 61-68. https://doi.org/10.1016/j.avb.2015.05.009
Dishion, T. J., & Dodge, K. A. (2005). Peer contagion in interventions for children and adolescents: Moving towards an understanding of the ecology and dynamics of change. Journal of Abnormal Child Psychology, 33, 395-400. https://doi.org/10.1007/s10802-005-3579-z
Doane, A. N., Kelley, M. L., & Pearson, M. R. (2016). Reducing cyberbullying: A theory of reasoned action-based video prevention program for college students. Aggressive Behavior, 42, 136-146. https://doi.org/10.1002/ab.21610
Doane, A. N., Pearson, M. R., & Kelley, M. L. (2014). Predictors of cyberbullying perpetration among college students: An application of the theory of reasoned action. Computers in Human Behavior, 36, 154-162. https://doi.org/10.1016/j.chb.2014.03.051
Erreygers, S., Vandebosch, H., Vranjes, I., Baillien, E., & Witte, H. D. (2018). The longitudinal association between poor sleep quality and cyberbullying, mediated by anger. Health Communication, 1-7. https://doi.org/10.1080/10410236.2017.1422098
Fisher, B. W., Gardella, J. H., & Teurbe-Tolon, A. R. (2016). Peer cybervictimization among adolescents and the associated internalizing and externalizing problems: A meta-analysis. Journal of Youth and Adolescence, 45, 1727-1743. https://doi.org/10.1007/s10964-016-0541-z
Geiser, C., Eid, M., Nussbeck, F. W., Courvoisier, D. S., & Cole, D. A. (2010). Analyzing true change in longitudinal multitrait-multimethod studies: Application of a multimethod change model to depression and anxiety in children. Developmental Psychology, 46, 29-45. https://doi.org/10.1037/a0017888
Gradinger, P., Strohmeier, D., & Spiel, C. (2009). Traditional bullying and cyberbullying: Identification of risk groups for adjustment problems. Zeitschrift Für Psychologie/Journal of Psychology, 217, 205-213. https://doi.org/10.1027/0044-3409.217.4.205
Greenberg, M. T., Domitrovich, C., & Bumbarger, B. (2000). Preventing mental disorders in school-age children: A review of the effectiveness of prevention programs (Report). University Park, PA: Prevention Research Center for the Promotion of Human Development.
Grob, A., Lüthi, R., Kaiser, F. G., Flammer, A., Mackinnon, A., & Wearing, A. J. (1991). Berner Fragebogen zum Wohlbefinden Jugendlicher (BFW). Diagnostica, 37, 66-75.
Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., … Hartling, L. (2015). Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. JAMA Pediatrics, 169, 770-777. https://doi.org/10.1001/jamapediatrics.2015.0944
Hart, S. L., Hodgkinson, S. C., Belcher, H. M. E., Hyman, C., & Cooley-Strickland, M. (2013). Somatic symptoms, peer and school stress, and family and community violence exposure among urban elementary school children. Journal of Behavioral Medicine, 36, 454-465. https://doi.org/10.1007/s10865-012-9440-2
Hawley, P. H., & Williford, A. (2015). Articulating the theory of bullying intervention programs: Views from social psychology, social work, and organizational science. Journal of Applied Developmental Psychology, 37, 3-15. https://doi.org/10.1016/j.appdev.2014.11.006
Heirman, W., & Walrave, M. (2012). Predicting adolescent perpetration in cyberbullying: An application of the theory of planned behavior. Psicothema, 24, 614-620.
Herge, W. M., La Greca, A. M., & Chan, S. F. (2016). Adolescent peer victimization and physical health problems. Journal of Pediatric Psychology, 41, 15-27. https://doi.org/10.1093/jpepsy/jsv050
Jimenez-Barbero, J. A., Llor-Esteban, B., Llor-Zaragoza, L., Perez Garcia, M., & Ruiz-Hernandez, J. A. (2013). Efficacy of a brief intervention on attitudes to reduce school violence: A randomized clinical trial. Children and Youth Services Review, 35, 1313-1318. https://doi.org/10.1016/j.childyouth.2013.05.010
Kalak, N., Lemola, S., Brand, S., Holsboer-Trachsler, E., & Grob, A. (2014). Sleep duration and subjective psychological well-being in adolescence: A longitudinal study in Switzerland and Norway. Neuropsychiatric Disease and Treatment, 10, 1199-1207. https://doi.org/10.2147/NDT.S62533
Kelly, E. V., Newton, N. C., Stapinski, L. A., Slade, T., Barrett, E. L., Conrod, P. J., & Teesson, M. (2015). Suicidality, internalizing problems and externalizing problems among adolescent bullies, victims and bully-victims. Preventive Medicine, 73, 100-105. https://doi.org/10.1016/j.ypmed.2015.01.020
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140, 1073-1137. https://doi.org/10.1037/a0035618
Kowalski, R. M., & Limber, S. P. (2013). Psychological, physical, and academic correlates of cyberbullying and traditional bullying. Journal of Adolescent Health, 53, 13-20. https://doi.org/10.1016/j.jadohealth.2012.09.018
Kowalski, R. M., Limber, S. P., & Agatston, P. W. (2007). Cyber bullying: Bullying in the digital age. Malden, MA: Blackwell.
Krosnick, J. A., & Alwin, D. F. (1989). Aging and susceptibility to attitude change. Journal of Personality and Social Psychology, 57, 416-425. https://doi.org/10.1037/0022-3514.57.3.416
LaFontana, K. M., & Cillessen, A. H. N. (2010). Developmental changes in the priority of perceived status in childhood and adolescence. Social Development, 19, 130-147. https://doi.org/10.1111/j.1467-9507.2008.00522.x
Lazuras, L., Barkoukis, V., Ourda, D., & Tsorbatzoudis, H. (2013). A process model of cyberbullying in adolescence. Computers in Human Behavior, 29, 881-887. https://doi.org/10.1016/j.chb.2012.12.015
López-Soler, C., Alcántara-López, M., Castro, M., Sánchez-Meca, J., & Fernández, V. (2017). The association between maternal exposure to intimate partner violence and emotional and behavioral problems in Spanish children and adolescents. Journal of Family Violence, 32, 135-144. https://doi.org/10.1007/s10896-016-9864-5
Madden, T., Ellen, P., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18, 3-9. https://doi.org/10.1177/0146167292181001
Malas, N., Ortiz-Aguayo, R., Giles, L., & Ibeziako, P. (2017). Pediatric somatic symptom disorders. Current Psychiatry Reports, 19, 1-11. https://doi.org/10.1007/s11920-017-0760-3
Meredith, W. (1993). Measurement invariance, factor-analysis and factorial invariance. Psychometrika, 58, 525-543. https://doi.org/10.1007/BF02294825
Muthén, L. K., & Muthén, B. O. (2017). Mplus (version 8). Los Angeles, CA: Muthén & Muthén.
Ortega-Ruiz, R., Del Rey, R., & Casas, J. A. (2012). Knowing, building and living together on internet and social networks: The ConRed Cyberbullying Prevention Program. International Journal of Conflict and Violence, 6, 303-312. https://doi.org/10.4119/UNIBI/ijcv.250
Pabian, S., & Vandebosch, H. (2014). Using the theory of planned behaviour to understand cyberbullying: The importance of beliefs for developing interventions. European Journal of Developmental Psychology, 11, 463-477. https://doi.org/10.1080/17405629.2013.858626
Pinquart, M. (2017). Associations of parenting dimensions and styles with internalizing symptoms in children and adolescents: A meta-analysis. Marriage and Family Review, 53, 613-640. https://doi.org/10.1080/01494929.2016.1247761
Roberto, A. J., Eden, J., Savage, M. W., Ramos-Salazar, L., & Deiss, D. M. (2014). Outcome evaluation results of school-based cybersafety promotion and cyberbullying prevention intervention for middle school students. Health Communication, 29, 1029-1042. https://doi.org/10.1080/10410236.2013.831684
SAMHSA. (2002). Report to Congress on the prevention and treatment of co-occuring substance abuse disorders and mental disorders. Washington, DC: Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services. Retrieved from http://www.samhsa.gov/reports/congress2002/
Sapouna, M., Wolke, D., Vannini, N., Watson, S., Woods, S., Schneider, W., … Aylett, R. (2010). Virtual learning intervention to reduce bullying victimization in primary school: A controlled trial. Journal of Child Psychology and Psychiatry, 51, 104-112. https://doi.org/10.1111/j.1469-7610.2009.02137.x
Saps, M., Seshadri, R., Stainberg, M., Schaffer, G., Marshall, B. M., & Di Lorenzo, C. (2009). A prospective school-based study of abdominal pain and other common somatic complaints in children. Journal of Pediatrics, 154, 322-326. https://doi.org/10.1016/j.jpeds.2008.09.047
Schultze-Krumbholz, A., Schultze, M., Zagorscak, P., Wölfer, R., & Scheithauer, H. (2016). Feeling cybervictims’ pain: The effect of empathy training on cyberbullying. Aggressive Behavior, 42, 147-156. https://doi.org/10.1002/ab.21613
Schultze-Krumbholz, A., Zagorscak, P., Siebenbrock, A., & Scheithauer, H. (2012). Medienhelden. Unterrichtsmanual zur Förderung von Medienkompetenz und Prävention von Cybermobbing. München, Germany: Ernst Reinhardt.
Slonje, R., Smith, P. K., & Frisen, A. (2013). The nature of cyberbullying, and strategies for prevention. Computers in Human Behavior, 29, 26-32. https://doi.org/10.1016/j.chb.2012.05.024
Smith, P. K., Madsen, K. C., & Moody, J. C. (1999). What causes the age decline in reports of being bullied at school? Towards a developmental analysis of risks of being bullied. Educational Research, 41, 267-285. https://doi.org/10.1080/0013188990410303
Steyer, R., Eid, M., & Schwenkmezger, P. (1997). Modeling true intraindividual change: True change as a latent variable. Methods of Psychological Research, 2, 21-33.
Sticca, F., & Perren, S. (2013). Is cyberbullying worse than traditional bullying? Examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. Journal of Youth and Adolescence, 42, 739-750. https://doi.org/10.1007/s10964-012-9867-3
Strain, P. S., & Timm, M. A. (2001). Remediation and prevention of aggression: An evaluation of the regional intervention program over a quarter century. Behavioral Disorders, 26, 297-313. https://doi.org/10.1177/019874290102600409
Sumter, S. R., & Baumgartner, S. E. (2017). Psychosomatic complaints in adolescence: Untangling the relationship between offline and online peer victimization, psychosomatic complaints and social support. European Journal of Developmental Psychology, 14, 399-415. https://doi.org/10.1080/17405629.2016.1215980
Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26, 277-287. https://doi.org/10.1016/j.chb.2009.11.014
Ttofi, M. M., & Farrington, D. P. (2011). Effectiveness of school-based programs to reduce bullying: A systematic and meta-analytic review. Journal of Experimental Criminology, 7, 27-56. https://doi.org/10.1007/s11292-010-9109-1
Varni, J. W., Bendo, C. B., Nurko, S., Shulman, R. J., Self, M. M., Franciosi, J. P., … Pediatric Quality of Life Inventory (PedsQL) Gastrointestinal Symptoms Module Testing Study Consortium. (2015). Health-related quality of life in pediatric patients with functional and organic gastrointestinal diseases. Journal of Pediatrics, 166, 85-90. https://doi.org/10.1016/j.jpeds.2014.08.022
Vieno, A., Gini, G., Lenzi, M., Pozzoli, T., Canale, N., & Santinello, M. (2015). Cybervictimization and somatic and psychological symptoms among Italian middle school students. European Journal of Public Health, 25, 433-437. https://doi.org/10.1093/eurpub/cku191
Vitaro, F., & Tremblay, R. (1994). Impact of a prevention program on aggressive childrens’ friendships and social adjustment. Journal of Abnormal Child Psychology, 22, 457-475. https://doi.org/10.1007/BF02168085
Wagner, G., Zeiler, M., Berger, G., Huber, W.-D., Favaro, A., Santonastaso, P., & Karwautz, A. (2015). Eating disorders in adolescents with celiac disease: Influence of personality characteristics and coping. European Eating Disorders Review: The Journal of the Eating Disorders Association, 23, 361-370. https://doi.org/10.1002/erv.2376
Walton, M. A., Chermack, S. T., Shope, J. T., Bingham, C. R., Zimmerman, M. A., Blow, F. C., & Cunningham, R. M. (2010). Effects of a brief intervention for reducing violence and alcohol misuse among adolescents: A randomized controlled trial. Journal of the American Medical Association, 304, 527-535. https://doi.org/10.1001/jama.2010.1066
Weinstein, N. D. (2007). Misleading tests of health behavior theories. Annals of Behavioral Medicine, 33, 1-10. https://doi.org/10.1207/s15324796abm3301_1
Williford, A., Elledge, L. C., Boulton, A. J., DePaolis, K. J., Little, T. D., & Salmivalli, C. (2013). Effects of the KiVa antibullying program on cyberbullying and cybervictimization frequency among Finnish youth. Journal of Clinical Child and Adolescent Psychology, 42, 820-833. https://doi.org/10.1080/15374416.2013.787623
Wölfer, R., Schmid, K., Hewstone, M., & van Zalk, M. (2016). Developmental dynamics of intergroup contact and intergroup attitudes: Long-term effects in adolescence and early adulthood. Child Development, 87, 1466-1478. https://doi.org/10.1111/cdev.12598
Wölfer, R., Schultze-Krumbholz, A., Zagorscak, P., Jäkel, A., Göbel, K., & Scheithauer, H. (2013). Prevention 2.0: Targeting cyberbullying @ school. Prevention Science, 15, 879-887. https://doi.org/10.1007/s11121-013-0438-y

Auteurs

Pavle Zagorscak (P)

Freie Universität Berlin.

Anja Schultze-Krumbholz (A)

Technische Universität Berlin.

Manuel Heinrich (M)

Freie Universität Berlin.

Ralf Wölfer (R)

University of Oxford.

Herbert Scheithauer (H)

Freie Universität Berlin.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH