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ISSN 1561-3046 (Electronic)

2021, Number 3

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Rev Cub Med Mil 2021; 50 (3)

Network analysis of the suicidal behaviors in Peruvian adults

Baños-Chaparro J, Ynquillay-Lima P, Lamas DF, Fuster GFG

Language: Spanish
References: 20
Page:
PDF size: 359.40 Kb.


ABSTRACT

Introduction: In the study of human behavior, suicide is an emerging public health problem. Given that the majority of people who present suicidal behavior do not communicate it, it is necessary to explore the behaviors that are decisive.
Objective: To analyze the suicidal behaviors by means of the analysis of networks in general population of Peruvian adults.
Methods: Cross-sectional study and of quantitative approach. 408 Peruvian adults selected by means of convenience sampling and inclusion criteria participated. An instrument was applied to evaluate suicidal behavior and a regularized partial correlation network was estimated. Likewise, the centrality indices (strength and expected influence) and the predictability of the nodes were analyzed. The stability and precision of the network was also evaluated.
Results: The network model of suicidal behavior was made up of positive edges. The strongest correlations emerged between suicidal thoughts and suicide intention. The node with greatest strength and influence expected was considering taking his own life. The average predictability was 42% and the node with greatest was prediction was wishing to be dead. The precision of the network was adequate and its stability as well (CS=0,596).
Conclusions: The results indicate that suicidal thoughts and the intention to commit suicide are important aspects to understand suicidal behaviors in general population of Peruvian adults. For it, identifying these behaviors be means of the evaluation instruments and clinical interview is a recommended practice for detecting people at risk of suicidal behaviors and suicide prevention.


REFERENCES

  1. Baños-Chaparro J. Suicidio por arma de fuego: un problema de salud pública. Medisur. 2021 [acceso: 01/04/2021]; 19(2):1-4. Disponible en: http://www.medisur.sld.cu/index.php/medisur/article/view/4973

  2. De Beurs D, Bockting C, Kerkhof A, Scheepers F, O'Connor R, Penninx B, et al. A network perspective on suicidal behavior: Understanding suicidality as a complex system. Suicide Life Threat Behav. 2021; 51(1):115-26. DOI: 10.1111/sltb.12676

  3. Borsboom D. A network theory of mental disorders. World Psychiatry. 2017; 16(1):5-13. DOI: 10.1002/wps.20375

  4. Vázquez Valverde C, Roca Morales P, Poyato Vega N, Pascual Nicolás T. Teoría de redes en psicopatología: Una alternativa radical a los sistemas diagnósticos. En: Fernández Ballesteros R, Baños Rivera R. Progresos y crisis en psicología clínica: tratamientos basados en la evidencia y crisis del diagnóstico. España: Pirámide; 2017. p. 65-89.

  5. De Beurs D, Fried EI, Wetherall K, Cleare S, O'Connor DB, Ferguson E, et al. Exploring the psychology of suicidal ideation: A theory driven network analysis. Behav Res Ther. 2019; 120:103419. DOI: 10.1016/j.brat.2019.103419

  6. Ordóñez-Carrasco JL, Sayans-Jiménez P, Rojas-Tejada AJ. Ideation-to-action framework variables involved in the development of suicidal ideation: A network analysis. Curr Psychol. 2021; 40:1-12. DOI: 10.1007/s12144-021-01765-w

  7. Núñez D, Ulloa JL, Guillaume S, Olué E, Alacreu-Crespo A, Courtet P. Suicidal ideation and affect lability in single and multiple suicidal attempters with Major Depressive Disorder: An exploratory network analysis. J Affect Disord. 2020; 272:371-79. DOI: 10.1016/j.jad.2020.04.004

  8. Shim EJ, Ha H, Park JE, Kim BS, Chang SM, Hong JP, et al. Gender-based examination of the association between individual symptoms of alcohol use disorder, major depressive disorder, and suicidal behaviors: a network analysis of data from the Korean Epidemiologic Catchment Area Study. J Affect Disord. 2020; 272:432-39. DOI: 10.1016/j.jad.2020.03.162

  9. De Beurs D, ten Have M, Cuijpers P, De Graaf R. The longitudinal association between lifetime mental disorders and first onset or recurrent suicide ideation. BMC Psychiatry. 2019; 19:345. DOI: 10.1186/s12888-019-2328-8

  10. Fonseca-Pedrero E, Díez-Gómez A, De la Barrera U, Sebastian-Enesco C, Ortuño-Sierra J, Montoya-Castilla I, et al. Conducta suicida en adolescentes: un análisis de redes. Rev Psiquiatr Salud Ment. 2020; 13:1-11. DOI: 10.1016/j.rpsm.2020.04.007

  11. Graziano RC, Aunon FM, LoSavio ST, Elbogen EB, Beckham JC. A network analysis of risk factors for suicide in Iraq/Afghanistan-era veterans. J Psychiatr Res. 2021; 138:264-71. DOI: 10.1016/j.jpsychires.2021.03.065

  12. Baños-Chaparro J, Ramos-Vera C. Validez e invarianza según sexo y edad de la Escala Paykel de Ideación Suicida en adolescentes peruanos. Interacciones. 2020; 6(1): e225. DOI: 10.24016/2020.v6n1.225

  13. Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy: A tutorial paper. Behav Res. 2018; 50:195-212. DOI: 10.3758/s13428-017-0862-1

  14. van Borkulo CD, Borsboom D, Epskamp S, Blanken TF, Boschloo L, Schoevers RA, et al. A new method for constructing networks from binary data. Sci Rep. 2014; 4:5918. DOI: 10.1038/srep05918

  15. Fruchterman TM, Reingold EM. Graph Drawing by Force-directed Placement. Softw Pract Exp. 1991; 21(11):1129-64. DOI: 10.1002/spe.4380211102

  16. Haslbeck JM, Waldorp LJ. How well do network models predict observations? On the importance of predictability in network models. Behav Res. 2018; 50:853-61. DOI: 10.3758/s13428-017-0910-x

  17. Gijzen MW, Rasing SP, Creemers DH, Smit F, Engels RC, De Beurs D. Suicide ideation as a symptom of adolescent depression. A network analysis. J Affect Disord. 2021; 278:68-77. DOI: 10.1016/j.jad.2020.09.029

  18. Vasudeva N, Singh H. A study of emotional regulation process among patients with current suicide attempt. Minerva Psichiatr. 2017; 58:113-7. DOI: 10.23736/S0391-1772.17.01932-X

  19. Mewton L, Andrews G. Cognitive behavioral therapy for suicidal behaviors: improving patient outcomes. Psychol Res Behav Manag. 2016; 9:21-9. DOI: 10.2147/PRBM.S84589

  20. Hajialiani V, Bahrami H, Noferesti A. The Effect of Mindfulness-Based Cognitive Therapy on Reducing Suicidal Ideations and Increasing Self-Compassion in Students. Rooyesh. 2020 [acceso: 05/04/2021]; 9(5):147-54. Disponible en: http://frooyesh.ir/article-1-1956-en.html




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