Comprensión de las dificultades emocionales y conductuales y el comportamiento prosocial desde el prisma del análisis de redes

  1. Fonseca Pedrero, Eduardo 1
  2. Díez Gómez del Casal, Adriana 1
  3. Sebastián Enesco, Carla 1
  4. Pérez de Albéniz Iturriaga, Alicia 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Zeitschrift:
Redes: Revista hispana para el análisis de redes sociales

ISSN: 1579-0185

Datum der Publikation: 2020

Titel der Ausgabe: El análisis de redes en las ciencias del comportamiento

Ausgabe: 31

Nummer: 1

Seiten: 19-29

Art: Artikel

DOI: 10.5565/REV/REDES.836 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Redes: Revista hispana para el análisis de redes sociales

Zusammenfassung

The main objective of this work was to estimate the psychological network of emotional and behavioral difficulties and prosocial behavior during adolescence. A total of 386 students were selected incidentally from different school centers from La Rioja (Spain). The mean age was 14.28 years (SD = 0.57), with 52.1% of girls. For the evaluation of emotional and behavioral difficulties and prosocial behavior, the Strengths and Difficulties Questionnaire was used. The estimated network of emotional and behavioral problems was strongly interconnected both intra-domain and inter-domain. The prosocial behavior was negatively related to the emotional and behavioral difficulties of teenagers. The nodes with greater centrality strength were items 13 (sadness) and 11 (frienship). In terms of expected influence, the most influential nodes were items 13 (sadness) and 19 (bullied). The results of the stability analysis indicated that the network was estimated with moderate precision. Emotional well-being and its related difficulties can be conceptualized as a dynamic complex system of cognitive, emotional and behavioral characteristics that interact causally with each other. The network model allows us to analyze and understand mental health problems and human behavior from a different perspective, opening new lines of research within the field of psychology.

€ Finanzierung ansehen

Informationen zur Finanzierung

Esta investigación ha sido financiada por el Instituto Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), por la Convocatoria 2015 de Ayudas Fundación BBVA a Investigadores y Creadores Culturales, por las Ayudas Fundación BBVA a Equipos de Investigación Científica 2017 ycofinanciado con fondos FEDER en el PO FEDER de La Rioja 2014-2020 (SRS 6FRSABC026)

Geldgeber

Bibliographische Referenzen

  • Achenbach, T. M. y Rescorla, L. A. (2001). Manual for the ASEBA School-Age Forms y Profiles. Burlington: University of Vermont.
  • Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.
  • Borsboom, D. y Cramer, A. O. (2013). Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. 28
  • Boschloo, L., Schoevers, R. A., van Borkulo, C. D., Borsboom, D. y Oldehinkel, A. J. (2016). The network structure of psychopathology in a community sample of preadolescents. Journal of Abnormal Psychology, 125(4), 599–606. https://doi.org/10.1037/abn0000150
  • Bringmann, L. F. y Eronen, M. I. (2018). Don’t blame the model: Reconsidering the network approach to psychopathology. Psychological Review, 125(4), 606–615. https://doi.org/10.1037/rev0000108
  • Copeland, W. E., Adair, C. E., Smetanin, P., Stiff, D., Briante, C., Colman, I., … Angold, A. (2013). Diagnostic transitions from childhood to adolescence to early adulthood. Journal of Child Psychology and Psychiatry and Allied Disciplines, 54, 791-799. https://doi.org/10.1111/jcpp.12062
  • Copeland, W. E., Shanahan, L., Costello, E. J. y Angold, A. (2009). Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Archives of General Psychiatry, 66(7), 764-772. https://doi.org/10.1001/archgenpsychiatry.20 09.85
  • Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J. y Cramer, A. O. J. (2015). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality, 54, 13–29. https://doi.org/10.1016/j.jrp.2014.07.003
  • de Beurs, D. P., van Borkulo, C. D. y O’Connor, R. C. (2017). Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospitaltreated suicide attempters. British Journal of Psychiatry Open, 3(3), 120–126. https://doi.org/10.1192/bjpo.bp.116.004275
  • Epskamp, S. y Fried, E. (2018). A tutorial on regularized partial correlation Networks. Psychological Methods, 23(4), 617 https://arxiv.org/pdf/1607.01367.pdf.
  • Epskamp, S., Borsboom, D. y Fried, E. I. (2017). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 1–18. https://doi.org/10.3758/s13428-017-0862-1
  • Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D. y Borsboom, D. (2012). qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48(4), 1–18. https://doi.org/10.18637/jss.v048.i04
  • Faedda, G. L., Serra, G., Marangoni, C., Salvatore, P., Sani, G., Vázquez, G. H., … Koukopoulos, A. (2014). Clinical risk factors for bipolar disorders: a systematic review of prospective studies. Journal of Affective Disorders, 168, 314–321.
  • Fergusson, D. M., Horwood, L. J., Ridder, E. M. y Beautrais, A. L. (2005). Subthreshold depression in adolescence and mental health outcomes in adulthood. Archives of General Psychiatry, 62, 66–72.
  • Fonseca-Pedrero, E. (2018). Análisis de redes en psicología. Papeles del Psicologo, 39, 1–12.
  • Fonseca-Pedrero, E, Lemos-Giráldez, S., Paino, M., Villazón-García, U. y Muñiz, J. (2009). Validation of the Schizotypal Personality Questionnaire Brief form in adolescents. Schizophrenia Research, 111, 53–60.
  • Fonseca-Pedrero, E. (2017). Análisis de redes: ¿una nueva forma de comprender la psicopatología? Revista de Psiquiatría y Salud Mental, 10(4), 206–215. https://doi.org/10.1016/j.rpsm.2017.06.004
  • Fonseca-Pedrero, E., Ortuño, J., Debbané, M., Chan, R. C. K., Cicero, D., Zhang, L. C., … Fried, E. I. (2018). The network structure of schizotypal personality traits. Schizophrenia Bulletin, 44, S468–S479. https://doi.org/10.1093/schbul/sby044
  • Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A. y Borsboom, D. (2016). Mental disorders as networks of problems: a review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 58(12), 7250–7257. https://doi.org/10.1007/s00127-016-1319-z
  • Goodman, R. (1997). The strengths and difficulties questionnaire: a research note. Journal of Child Psychology and Psychiatry, 38, 581–586.
  • Gore, F. M., Bloem, P. J., Patton, G. C., Ferguson, J., Joseph, V., Coffey, C., … Mathers, C. D. (2011). Global burden of disease in young people aged 10-24 years: a systematic analysis. Lancet, 18(377), 2093– 2102.
  • Guloksuz, S., Pries, L.-K. y van Os, J. (2017). Application of network methods for understanding mental disorders: pitfalls and promise. Psychological Medicine, 1–10. https://doi.org/10.1017/S0033291717001350
  • Hevey, D. (2018). Network analysis: a brief overview and tutorial. Health Psychology and Behavioral Medicine, 6(1), 301–328. https://doi.org/10.1080/21642850.2018.1521
  • IBM Corp Released 2013. (2013). IBM SPSS Statistics for Windows, Version 22.0.
  • Armonk, NY: IBM Corp. Isvoranu, A.-M., van Borkulo, C. D., Boyette, L.-L., Wigman, J. T. W., Vinkers, C. H. y Borsboom, D. (2016). A network approach to psychosis: pathways between childhood trauma and psychotic symptoms. Schizophrenia Bulletin, sbw055. https://doi.org/10.1093/schbul/sbw055
  • Jones, P. J., Heeren, A. y McNally, R. J. (2017). Commentary: A network theory of mental disorders. Frontiers in Psychology, 8, 1305. https://doi.org/10.3389/fpsyg.2017.01305
  • Kessler, R. C., Avenevoli, S., Costello, E. J., Georgiades, K., Green, J. G., Gruber, M. J., … Merikangas, K. R. (2012). Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Archives of General Psychiatry, 69, 372–380.
  • Kessler, R. C, Angermeyer, M. C., Anthony, J. C., DE Graaf, R., Demyttenaere, K., Gasquet, I., … Ustun, T. B. (2007). Lifetime prevalence and age-ofonset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry : 6(3), 168–176. https://doi.org/10.1001/archpsyc.62.6.593
  • Muñiz, J. y Fonseca-Pedrero E., (2019). Diez pasos para la construcción de un test. Psicothema, 31, 7-16.
  • Nelson, B., McGorry, P. D., Wichers, M., Wigman, J. T. W. y Hartmann, J. A. (2017). Moving from static to dynamic models of the onset of mental disorder: a review. JAMA Psychiatry, 74(5), 528-534. https://doi.org/10.1001/jamapsychiatry.2017. 0001
  • O’Connor, R. C. y Portzky, G. (2018). Looking to the future: A synthesis of new developments and challenges in suicide research and prevention. Frontiers in Psychology, 9(NOV), 2139. https://doi.org/10.3389/fpsyg.2018.02139
  • Ortuño-Sierra, J., Chocarro, E., FonsecaPedrero, E., Riba, S. S. I. y Muñiz, J. (2015). The assessment of emotional and behavioural problems: Internal structure of The Strengths and Difficulties Questionnaire. International Journal of Clinical and Health Psychology, 15(3), 265–273. https://doi.org/10.1016/j.ijchp.2015.05.005
  • Ortuño-Sierra, J., Fonseca-Pedrero, E., Inchausti, F. y Sastre i Riba, S. (2016). Evaluación de dificultades emocionales y comportamentales en población infantojuvenil: El cuestionario de capacidades y dificultades (SDQ). Papeles del Psicologo, 37(1), 14–26.
  • Pérez, M. (2012). Las raíces de la psicopatología moderna: La melancolía y la esquizofrenia. Madrid:Ediciones Pirámide.
  • Pérez, M. (2018). Para pensar la psicología más allá de la mente y el cerebro: un enfoque transteórico. Papeles del Psicólogo, 39, 161– 173.
  • Polanczyk, G. V, Salum, G. A., Sugaya, L. S., Caye, A. y Rohde, L. A. (2015). Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. Journal of Child Psychology and Psychiatry, 56, 345-65.
  • R Development Core Team. (2011). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org.
  • Radua, J., Ramella-Cravaro, V., Ioannidis, J. P. A., Reichenberg, A., Phiphopthatsanee, N., Amir, T., … FusarPoli, P. (2018). What causes psychosis? An umbrella review of risk and protective factors. World Psychiatry, 17, 49–66. https://doi.org/10.1002/wps.20490
  • Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A. y Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31(1), 43–53. https://doi.org/10.1016/j.newideapsych.2011.02.007
  • Suárez-Álvarez, J., Pedrosa, I., Lozano, L., García-Cueto, E., Cuesta, M., y Muñiz,J. (2018). Using reversed items in Likert scales: A questionable practice. Psicothema, 30, 149- 158.
  • Walker, E. R., McGee, R. E. y Druss, B. G. (2015). Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry, 72(4), 334–341.
Fuente de los datos: Dialnet