Risk factors of suicidal behaviors in a high-risk longitudinal veteran sample: A network analysis.

ideation to action interpersonal theory of suicide network analysis suicide veterans

Journal

Suicide & life-threatening behavior
ISSN: 1943-278X
Titre abrégé: Suicide Life Threat Behav
Pays: England
ID NLM: 7608054

Informations de publication

Date de publication:
02 2023
Historique:
revised: 17 07 2022
received: 22 03 2022
accepted: 12 08 2022
pubmed: 28 8 2022
medline: 10 2 2023
entrez: 27 8 2022
Statut: ppublish

Résumé

Suicide is a substantial public health burden, particularly among veterans. Risk factors have been delineated for suicide; however, the dynamic interrelations between risk factors have not been fully examined. Such research has the potential to elucidate processes that contribute to suicide risk between individuals with a past suicide attempt (attempters) and those without a past suicide attempt (nonattempters). In the current study, network analysis was used to compare networks between attempters and nonattempters in a high-risk veteran sample (N = 770; M There were no differences in the overall connectivity of attempter and nonattempter networks. Perceived burdensomeness and posttraumatic stress disorder (PTSD) symptoms were most central in the attempters' network, whereas PTSD symptoms and insomnia were most central in the nonattempters' network. The risk factors prospective SB in either network. However, attempters were more likely to engage in SB over the course of the study. These findings highlight the difficulty in predicting who will attempt suicide.

Identifiants

pubmed: 36029133
doi: 10.1111/sltb.12918
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

4-15

Informations de copyright

© 2022 American Association of Suicidology.

Références

Allan, N. P., Conner, K. R., Pigeon, W. R., Gros, D. F., Salami, T. K., & Stecker, T. (2017). Insomnia and suicidal ideation and behaviors in former and current U.S. service members: Does depression mediate the relations? Psychiatry Research, 252, 296-302. https://doi.org/10.1016/j.psychres.2017.03.009
Allan, N. P., Gros, D. F., Hom, M. A., Joiner, T. E., & Stecker, T. (2016). Suicidal ideation and interpersonal needs: Factor structure of a short version of the interpersonal needs questionnaire in an at-risk military sample. Psychiatry, 79, 249-261. https://doi.org/10.1080/00332747.2016.1185893
Allan, N. P., Gros, D. F., Lancaster, C. L., Saulnier, K. G., & Stecker, T. (2019). Heterogeneity in short-term suicidal ideation trajectories: Predictors of and projections to suicidal behavior. Suicide and Life-threatening Behavior, 49(3), 826-837. https://doi.org/10.1111/sltb.12480
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Publishing.
Arias, S. A., Zhang, Z., Hillerns, C., Sullivan, A. F., Boudreaux, E. D., Miller, I., & Camargo, C. A. (2014). Using structured telephone follow-up assessments to improve suicide-related adverse event detection. Suicide and Life-threatening Behavior, 44(5), 537-547. https://doi.org/10.1111/sltb.12088
Armour, C., Fried, E. I., Deserno, M. K., Tsai, J., & Pietrzak, R. H. (2017). A network analysis of DSM-5 posttraumatic stress disorder symptoms and correlates in U.S. military veterans. Journal of Anxiety Disorders, 45, 49-59. https://doi.org/10.1016/J.JANXDIS.2016.11.008
Arsenault-Lapierre, G., Kim, C., & Turecki, G. (2004). Psychiatric diagnoses in 3275 suicides: A meta-analysis. BMC Psychiatry, 4(1), 1-11. https://doi.org/10.1186/1471-244X-4-37/TABLES/4
Ashrafioun, L., Saulnier, K. G., Allan, N. P., Bishop, T. M., & Stecker, T. (2022). Pain intensity trajectories among veterans seeking mental health treatment: Association with mental health symptoms and suicidal thoughts and behaviors. Journal of Affective Disorders, 297, 586-592. https://doi.org/10.1016/J.JAD.2021.10.082
Bentley, K. H., Franklin, J. C., Ribeiro, J. D., Kleiman, E. M., Fox, K. R., & Nock, M. K. (2016). Anxiety and its disorders as risk factors for suicidal thoughts and behaviors: A meta-analytic review. Clinical Psychology Review, 43, 30-46. https://doi.org/10.1016/j.cpr.2015.11.008
Bloch-Elkouby, S., Gorman, B., Schuck, A., Barzilay, S., Calati, R., Cohen, L. J., Begum, F., & Galynker, I. (2020). The suicide crisis syndrome: A network analysis. Journal of Counseling Psychology, 67(5), 595-607. https://doi.org/10.1037/COU0000423
Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5-13. https://doi.org/10.1002/WPS.20375
Bostwick, J. M., Pabbati, C., Geske, J. R., & McKean, A. J. (2016). Suicide attempt as a risk factor for completed suicide: Even more lethal than we knew. American Journal of Psychiatry, 173(11), 1094-1100. https://doi.org/10.1176/APPI.AJP.2016.15070854/ASSET/IMAGES/LARGE/APPI.AJP.2016.15070854F2.JPEG
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019). What do centrality measures measure in psychological networks? Journal of Abnormal Psychology, 128(8), 892-903. https://doi.org/10.1037/ABN0000446
Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95, 759-771. https://doi.org/10.1093/biomet/asn034
Chu, C., Buchman-Schmitt, J. M., Stanley, I. H., Hom, M. A., Tucker, R. P., Hagan, C. R., Rogers, M. L., Podlogar, M. C., Chiurliza, B., Ringer, F. B., Michaels, M. S., Patros, C. H. G., & Joiner, T. E. (2017). The interpersonal theory of suicide: A systematic review and meta-analysis of a decade of cross-national research. Psychological Bulletin, 143(12), 1313-1345. https://doi.org/10.1037/BUL0000123
Cleeland, C. S. (2009). The brief pain inventory: User guide. MD Anderson Cancer Center.
de Beurs, D., Fried, E. I., Wetherall, K., Cleare, S., O'Connor, D. B., Ferguson, E., O'Carroll, R. E., & O'Connor, R. C. (2019). Exploring the psychology of suicidal ideation: A theory driven network analysis. Behaviour Research and Therapy, 120, 103419. https://doi.org/10.1016/J.BRAT.2019.103419
Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195-212. https://doi.org/10.3758/S13428-017-0862-1/FIGURES/9
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48, 1-18. https://doi.org/10.18637/JSS.V048.I04
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617-634. https://doi.org/10.1037/MET0000167
Fox, K. R., Huang, X., Linthicum, K. P., Wang, S. B., Franklin, J. C., & Ribeiro, J. D. (2019). Model complexity improves the prediction of nonsuicidal self-injury. Journal of Consulting and Clinical Psychology, 87(8), 684-692. https://doi.org/10.1037/ccp0000421
Foygel, R., & Drton, M. (2010). Extended Bayesian information criteria for gaussian graphical models. Advances in Neural Information Processing Systems, 23, 604-612. https://papers.nips.cc/paper/4087-extended-bayesian-information-criteria-for-gaussian-graphical-models
Franklin, J. C., Ribeiro, J. D., Fox, K. R., Bentley, K. H., Kleiman, E. M., Huang, X., Musacchio, K. M., Jaroszewski, A. C., Chang, B. P., & Nock, M. K. (2017). Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. Psychological Bulletin, 143, 187-232. https://doi.org/10.1037/bul0000084
Friedman, J., Hastie, T., & Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9, 432-441. https://doi.org/10.1093/biostatistics/kxm045
Gijzen, M. W. M., Rasing, S. P. A., Creemers, D. H. M., Smit, F., Engels, R. C. M. E., & De Beurs, D. (2021). Suicide ideation as a symptom of adolescent depression: A network analysis. Journal of Affective Disorders, 278, 68-77. https://doi.org/10.1016/J.JAD.2020.09.029
Graziano, R. C., Aunon, F. M., LoSavio, S. T., Elbogen, E. B., Beckham, J. C., Dillon, K. H., Brancu, M., Calhoun, P. S., Dedert, E., Fairbank, J. A., Hurley, R. A., Kilts, J. D., Kimbrel, N. A., Kirby, A., Marx, C. E., McDonald, S. D., Moore, S. D., Morey, R. A., Naylor, J. C., … Yoash-Gantz, R. E. (2021). A network analysis of risk factors for suicide in Iraq/Afghanistan-era veterans. Journal of Psychiatric Research, 138, 264-271. https://doi.org/10.1016/J.JPSYCHIRES.2021.03.065
Hallquist, M. N., Wright, A. G. C., & Molenaar, P. C. M. (2019). Problems with centrality measures in psychopathology symptom networks: Why network psychometrics cannot escape psychometric theory. Multivariate Behavioral Research, 56(2), 199-223. https://doi.org/10.1080/00273171.2019.1640103
Haslbeck, J. M. B., & Waldorp, L. J. (2016). Mgm: Structure estimation for time-varying mixed graphical models in high-dimensional data. Journal of Statistical Software, 10(2), 1-29.
Hedegaard, H., Curtin, S. C., & Warner, M. (2020). Increase in suicide mortality in the United States, 1999-2018. NCHS data brief. CDC.
Heeren, A., & McNally, R. J. (2018). Social anxiety disorder as a densely interconnected network of fear and avoidance for social situations. Cognitive Therapy and Research, 42(1), 103-113. https://doi.org/10.1007/s10608-017-9876-3
Ilgen, M. A., Bohnert, A. S. B., Ignacio, R. V., McCarthy, J. F., Valenstein, M. M., Kim, H. M., & Blow, F. C. (2010). Psychiatric diagnoses and risk of suicide in veterans. Archives of General Psychiatry, 67(11), 1152-1158. https://doi.org/10.1001/ARCHGENPSYCHIATRY.2010.129
Isvoranu, A.-M., & Epskamp, S. (2021). Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers. PsyArXiv Preprints, 1-57. https://doi.org/10.31234/OSF.IO/MBYCN
Jobes, D. A. (2012). The Collaborative Assessment and Management of Suicidality (CAMS): An evolving evidence-based clinical approach to suicidal risk. Suicide and Life-threatening Behavior, 42, 640-653. https://doi.org/10.1111/j.1943-278X.2012.00119.x
Joiner, T. E. (2005). Why people die by suicide. Harvard University Press.
Klonsky, E. D., & May, A. M. (2014). Differentiating suicide attempters from suicide ideators: A critical frontier for suicidology research. Suicide and Life-threatening Behavior, 44, 1-5. https://doi.org/10.1111/sltb.12068
Knipe, D., Williams, A. J., Hannam-Swain, S., Upton, S., Brown, K., Bandara, P., Chang, S. S., & Kapur, N. (2019). Psychiatric morbidity and suicidal behaviour in low- and middle-income countries: A systematic review and meta-analysis. PLoS Medicine, 16(10), e1002905. https://doi.org/10.1371/JOURNAL.PMED.1002905
Lauritzen, S. (1996). Graphical models (Vol. 17). Clarendon Press.
Liu, C., Yuen, J., & Torralba, A. (2010). Nonparametric scene parsing: Label transfer via dense scene alignment (pp. 1972-1979). IEEE. https://doi.org/10.1109/CVPR.2009.5206536
May, A. M., & Klonsky, E. D. (2016). What distinguishes suicide attempters from suicide ideators? A meta-analysis of potential factors. Clinical Psychology: Science and Practice, 23, 5-20. https://doi.org/10.1111/cpsp.12136
McLellan, A. T., Kushner, H., Metzger, D., Peters, R., Smith, I., Grissom, G., Pettinati, H., & Argeriou, M. (1992). The fifth edition of the addiction severity index. Journal of Substance Abuse Treatment, 9, 199-213. https://doi.org/10.1016/0740-5472(92)90062-S
Morin, C. M., Belleville, G., Bélanger, L., & Ivers, H. (2011). The insomnia severity index: Psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep, 34, 601-608. https://doi.org/10.1093/sleep/34.5.601
Naifeh, J. A., Ursano, R. J., Kessler, R. C., Gonzalez, O. I., Fullerton, C. S., Herberman Mash, H. B., Riggs-Donovan, C. A., Ng, T. H. H., Wynn, G. H., Dinh, H. M., Kao, T. C., Sampson, N. A., & Stein, M. B. (2019). Suicide attempts among activated soldiers in the U.S. Army reserve components. BMC Psychiatry, 19(1), 1-11. https://doi.org/10.1186/S12888-018-1978-2/FIGURES/1
Nock, M. K., Kessler, R. C., & Franklin, J. C. (2016). Risk factors for suicide ideation differ from those for the transition to suicide attempt: The importance of creativity, rigor, and urgency in suicide research. Clinical Psychology: Science and Practice, 23(1), 31-34. https://doi.org/10.1037/H0101734
Ordóñez-Carrasco, J. L., Sayans-Jiménez, P., & Rojas-Tejada, A. J. (2021). Ideation-to-action framework variables involved in the development of suicidal ideation: A network analysis. Current Psychology, 2021, 1-12. https://doi.org/10.1007/S12144-021-01765-W
Pompili, M., Serafini, G., Innamorati, M., Dominici, G., Ferracuti, S., Kotzalidis, G. D., Serra, G., Girardi, P., Janiri, L., Tatarelli, R., Sher, L., & Lester, D. (2010). Suicidal behavior and alcohol abuse. International Journal of Environmental Research and Public Health, 7(4), 1392-1431. https://doi.org/10.3390/IJERPH7041392
Posner, K., Brown, G. K., Stanley, B., Brent, D. A., Yershova, K. V., Oquendo, M. A., Currier, G. W., Melvin, G. A., Greenhill, L., Shen, S., & Mann, J. J. (2011). The Columbia-suicide severity rating scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. The American Journal of Psychiatry, 168, 1266-1277. https://doi.org/10.1176/appi.ajp.2011.10111704
Rath, D., De Beurs, D., Hallensleben, N., Spangenberg, L., Glaesmer, H., & Forkmann, T. (2019). Modelling suicide ideation from beep to beep: Application of network analysis to ecological momentary assessment data. Internet Interventions, 18, 100292. https://doi.org/10.1016/J.INVENT.2019.100292
Rudd, M. S. (2006). Fluid vulnerability theory: A cognitive approach to understanding the process of acute and chronic suicide risk. In T. E. Ellis (Ed.), Cognition and suicide: Theory, research, and therapy (pp. 355-368). American Psychological Association.
SAMHSA. (2019). Results from the 2019 National Survey on drug use and health: Graphics from the key findings report. SAMHSA.
Saulnier, K. G., Singh, R., Lenker, K. P., Calhoun, S. L., He, F., Liao, D., Vgontzas, A. N., Bixler, E. O., & Fernandez-Mendoza, J. (2022). Association of insomnia phenotypes based on polysomnography-measured sleep duration with suicidal ideation and attempts. Sleep Health, 712, 391-397. https://doi.org/10.1016/J.SLEH.2022.05.004
Savelieva, K., Komulainen, K., Elovainio, M., & Jokela, M. (2021). Longitudinal associations between specific symptoms of depression: Network analysis in a prospective cohort study. Journal of Affective Disorders, 278, 99-106. https://doi.org/10.1016/J.JAD.2020.09.024
Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A., & 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
Schönfelder, A., Rath, D., Forkmann, T., Paashaus, L., Lucht, L., Teismann, T., Stengler, K., Juckel, G., & Glaesmer, H. (2021). Child abuse and suicidality in the context of the interpersonal psychological theory of suicide: A network analysis. British Journal of Clinical Psychology, 60(4), 425-442. https://doi.org/10.1111/BJC.12293
Shim, E. J., Ha, H., Park, J. E., Kim, B. S., Chang, S. M., Hong, J. P., Cho, M. J., & Hahm, B. J. (2020). 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. Journal of Affective Disorders, 272, 432-439. https://doi.org/10.1016/J.JAD.2020.03.162
Short, N. A., Allan, N. P., Saulnier, K., Preston, T. J., Joiner, T. E., & Schmidt, N. B. (2021). Factor mixture modeling of the insomnia severity index among psychology clinic outpatients. Journal of Psychopathology and Behavioral Assessment, 43(2), 227-239. https://doi.org/10.1007/S10862-020-09816-5/FIGURES/1
Simons, J. S., Simons, R. M., Walters, K. J., Keith, J. A., O'Brien, C., Andal, K., & Stoltenberg, S. F. (2019). Nexus of despair: A network analysis of suicidal ideation among veterans. Archives of Suicide Research, 24(suppl 1), 314-336. https://doi.org/10.1080/13811118.2019.1574689
Spitzer, E. G., Benfer, N., Zuromski, K. L., Marx, B. P., & Witte, T. K. (2020). Examining unique and prospective relationships among self-injurious thoughts and behaviors and posttraumatic stress disorder: A network analysis in two trauma-exposed samples. Psychological Medicine, 1-11, 664-674. https://doi.org/10.1017/S0033291720002263
Spitzer, R. L., Williams, J. B. W., Kroenke, K., Linzer, M., Verloin, F., Hahn, S. R., Brody, D., & Johnson, J. G. (1994). Utility of a new procedure for diagnosing mental disorders in primary care. Journal of the American Medical Association, 272, 1749-1756. https://doi.org/10.1001/jama.1994.03520220043029
Stecker, T., Fortney, J., Owen, R., McGovern, M. P., & Williams, S. (2010). Co-occurring medical, psychiatric, and alcohol-related disorders among veterans returning from Iraq and Afghanistan. Psychosomatics, 51(6), 503-507. https://doi.org/10.1016/S0033-3182(10)70743-X
U.S. Department of Veterans Affairs. (2021). 2021 National veteran suicide prevention annual report.
van Borkulo, C. (2017). Network comparison test: Permutation-based test of differences in strength of networks. https://github.com/cvborkulo%0A/NetworkComparisonTest
van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L. J., & Schoevers, R. A. (2015). Association of symptom network structure with the course of depression. JAMA Psychiatry, 72, 1219-1226. https://doi.org/10.1001/jamapsychiatry.2015.2079
van Orden, K. A., Witte, T. K., Cukrowicz, K. C., Braithwaite, S. R., Selby, E. A., & Joiner, T. E. (2010). The interpersonal theory of suicide. Psychological Review, 117, 575-600. https://doi.org/10.1037/a0018697
Weathers, F. W., Litz, B. T., Herman, D. S., Huska, J. A., & Keane, T. M. (1993). The PTSD checklist (PCL): Reliability, validity, and diagnostic utility. In Paper presented at the 9th annual meeting of the International Society for Traumatic Stress Studies.

Auteurs

Kevin G Saulnier (KG)

Department of Psychology, Ohio University, Athens, Ohio, USA.
Department of Psychiatry and Behavioral Health, College of Medicine, Penn State University, Hershey, Pennsylvania, USA.

Marija Volarov (M)

Department of Psychology, University of Novi Sad, Novi Sad, Serbia.

Mina Velimirović (M)

Department of Psychology, University of Novi Sad, Novi Sad, Serbia.

Brian W Bauer (BW)

Department of Psychology, University of Southern Mississippi, Hattiesburg, Mississippi, USA.

Kateryna Kolnogorova (K)

Department of Psychology, Ohio University, Athens, Ohio, USA.

Lisham Ashrafioun (L)

VA VISN 2 Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, New York, USA.
Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, USA.

Tracy Stecker (T)

VA VISN 2 Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, New York, USA.
College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA.

Nicholas P Allan (NP)

Department of Psychology, Ohio University, Athens, Ohio, USA.
VA VISN 2 Center of Excellence for Suicide Prevention, Canandaigua VA Medical Center, Canandaigua, New York, USA.

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