View Item 

Show simple item record

Identifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method
dc.contributor.authorKuehn, Kevin S.
dc.contributor.authorFoster, Katherine T.
dc.contributor.authorCzyz, Ewa K.
dc.contributor.authorKing, Cheryl A.
dc.date.accessioned2022-07-05T21:03:59Z
dc.date.available2023-07-05 17:03:58en
dc.date.available2022-07-05T21:03:59Z
dc.date.issued2022-06
dc.identifier.citationKuehn, Kevin S.; Foster, Katherine T.; Czyz, Ewa K.; King, Cheryl A. (2022). "Identifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method." Suicide and Life-Threatening Behavior (3): 490-499.
dc.identifier.issn0363-0234
dc.identifier.issn1943-278X
dc.identifier.urihttps://hdl.handle.net/2027.42/173030
dc.description.abstractIntroductionSuicide is a leading cause of death. One challenge to prevention efforts is the wide phenomenological heterogeneity in suicidal urges, thoughts, and behaviors across individuals at risk. Despite this heterogeneity, most suicide research estimates group-level effects by averaging across people as if they were the same, preventing detection of person-specific factors that may modulate risk and be key to effective prevention. The goal of the present study is to illustrate the idiographic (i.e., person-specific) approach and highlight its utility for suicide research.MethodsWe implemented a case series approach using three cases from a subset of psychiatrically hospitalized adolescents who provided intensive longitudinal data on daily urges and coping behavior after discharge following a suicide attempt. For illustration, person-specific, bidirectional links between suicidal urges and coping behavior were modeled across a series of cases using a vector autoregression approach.ResultsThe relationship between suicidal urges and coping differed across the three individuals, who were presented to exhibit the range of this variability in the presence/absence and magnitude of effects.ConclusionsIndividuals who report similar suicidal risk levels likely respond in individualized ways to suicidal urges (e.g., use different coping strategies), necessitating personalized assessment and treatment. We discuss implications for future suicide research.
dc.publisherSpringer
dc.publisherWiley Periodicals, Inc.
dc.subject.otherdevelopmental psychopathology
dc.subject.otherecological momentary assessment
dc.subject.otheridiographic methods
dc.subject.otherprecision medicine
dc.subject.othersuicide
dc.titleIdentifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPsychiatry
dc.subject.hlbsecondlevelPsychology
dc.subject.hlbtoplevelHealth Sciences
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173030/1/sltb12841.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173030/2/sltb12841_am.pdf
dc.identifier.doi10.1111/sltb.12841
dc.identifier.sourceSuicide and Life-Threatening Behavior
dc.identifier.citedreferenceMiron, O., Yu, K. H., Wilf-Miron, R., & Kohane, I. S. ( 2019 ). Suicide rates among adolescents and young adults in the United States, 2000–2017. JAMA, 321 ( 23 ), 2362 – 2364. https://doi.org/10.1001/jama.2019.5054
dc.identifier.citedreferenceHallensleben, N., Glaesmer, H., Forkmann, T., Rath, D., Strauss, M., Kersting, A., & Spangenberg, L. ( 2019 ). Predicting suicidal ideation by interpersonal variables, hopelessness and depression in real-time. An ecological momentary assessment study in psychiatric inpatients with depression. European Psychiatry, 56 ( 1 ), 43 – 50.
dc.identifier.citedreferenceHuang, X., Ribeiro, J. D., Musacchio, K. M., & Franklin, J. C. ( 2017 ). Demographics as predictors of suicidal thoughts and behaviors: A meta-analysis. PLoS One, 12 ( 7 ), e0180793. https://doi.org/10.1371/journal.pone.0180793
dc.identifier.citedreferenceJi, L., Chow, S.-M., Schermerhorn, A. C., Jacobson, N. C., & Cummings, E. M. ( 2016 ). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling, 25 ( 5 ), 715 – 736. https://doi.org/10.1080/10705511.2017.1417046
dc.identifier.citedreferenceKing, C. A., Brent, D., Grupp-Phelan, J., Shenoi, R., Page, K., Mahabee-Gittens, E. M., & Littlefield, A. ( 2019 ). Five profiles of adolescents at elevated risk for suicide attempts: Differences in mental health service use. Journal of the American Academy of Child & Adolescent Psychiatry, 59 ( 9 ), 1058 – 1068.
dc.identifier.citedreferenceKing, C. A., Foster, C. E., & Rogalski, K. M. ( 2013 ). Teen suicide risk: A practitioner guide to screening, assessment, and management. Guilford Press.
dc.identifier.citedreferenceKing, C. A., Grupp-Phelan, J., Brent, D., Dean, J. M., Webb, M., Bridge, J. A., Spirito, A., Chernick, L. S., Mahabee-Gittens, E. M., Mistry, R. D., Rea, M., Keller, A., Rogers, A., Shenoi, R., Cwik, M., Busby, D. R., & Casper, T. C. ( 2019 ). Predicting 3-month risk for adolescent suicide attempts among pediatric emergency department patients. Journal of Child Psychology and Psychiatry, 60 ( 10 ), 1055 – 1064. https://doi.org/10.1111/jcpp.13087
dc.identifier.citedreferenceKleiman, E. M., Turner, B. J., Fedor, S., Beale, E. E., Huffman, J. C., & Nock, M. K. ( 2017 ). Examination of real-time fluctuations in suicidal ideation and its risk factors: Results from two ecological momentary assessment studies. Journal of Abnormal Psychology, 126 ( 6 ), 726. https://doi.org/10.1037/abn0000273
dc.identifier.citedreferenceKuehn, K. S., Wagner, A., & Velloza, J. ( 2019 ). Estimating the magnitude of the relation between bullying, E-bullying, and suicidal behaviors among United States youth, 2015. Crisis, 40 ( 3 ), 157 – 165. https://doi.org/10.1027/0227-5910/a000544
dc.identifier.citedreferenceLambert, M. J., Whipple, J. L., & Kleinstäuber, M. ( 2018 ). Collecting and delivering progress feedback: A meta-analysis of routine outcome monitoring. Psychotherapy, 55 ( 4 ), 520. https://doi.org/10.1037/pst0000167
dc.identifier.citedreferenceLinehan, M. M. ( 1993 ). Cognitive-behavioral treatment of borderline personality disorder. Guilford.
dc.identifier.citedreferenceLiu, S. ( 2017 ). Person-specific versus multilevel autoregressive models: Accuracy in parameter estimates at the population and individual levels. British Journal of Mathematical and Statistical Psychology, 70 ( 3 ), 480 – 498.
dc.identifier.citedreferenceMolenaar, P. C. M. ( 2004 ). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement: Interdisciplinary Research and Perspectives, 2 ( 4 ), 201 – 218.
dc.identifier.citedreferenceMolenaar, P. C. M., & Campbell, C. G. ( 2009 ). The new person-specific paradigm in psychology. Current Directions in Psychological Science, 18 ( 2 ), 112 – 117. https://doi.org/10.1111/j.1467-8721.2009.01619.x
dc.identifier.citedreferenceNeacsiu, A. D., Rizvi, S. L., & Linehan, M. M. ( 2010 ). Dialectical behavior therapy skills use as a mediator and outcome of treatment for borderline personality disorder. Behaviour Research and Therapy, 48 ( 9 ), 832 – 839. https://doi.org/10.1016/j.brat.2010.05.017
dc.identifier.citedreferenceNock, M. K., Prinstein, M. J., & Sterba, S. K. ( 2009 ). Revealing the form and function of selfinjurious thoughts and behaviors: A real-time ecological assessment study among adolescents and young adults. Journal of Abnormal Psychology, 118 ( 4 ), 816 – 827. https://doi.org/10.1158/2159-8290.CD-16-0307.PD-1
dc.identifier.citedreferenceNorcross, J. C., & Wampold, B. E. ( 2011 ). What works for whom: Tailoring psychotherapy to the person. Journal of Clinical Psychology, 67 ( 2 ), 127 – 132. https://doi.org/10.1002/jclp.20764
dc.identifier.citedreferencePfaff, B. ( 2008 ). VAR, SVAR and SVEC models: Implementation within R package vars. Journal of Statistical Software, 27 ( 4 ), 1 – 32.
dc.identifier.citedreferencePiccirillo, M. L., Beck, E. D., & Rodebaugh, T. L. ( 2019 ). A clinician’s primer for idiographic research: Considerations and recommendations. Behavior Therapy, 50 ( 5 ), 938 – 951. https://doi.org/10.1016/j.beth.2019.02.002
dc.identifier.citedreferenceR Core Team ( 2013 ). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.r-project.org/
dc.identifier.citedreferenceRodebaugh, T. L., Frumkin, M. R., & Piccirillo, M. L. ( 2020 ). The long road from person specific models to personalized mental health treatment. BMC Medicine, 18 ( 1 ), 1 – 2. https://doi.org/10.1186/s12916-020-01838-w
dc.identifier.citedreferenceShukur, G., & Mantalos, P. ( 2000 ). A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems. Journal of Applied Statistics, 27 ( 8 ), 1021 – 1031. https://doi.org/10.1080/02664760050173346
dc.identifier.citedreferenceStanley, B., Martínez-Alés, G., Gratch, I., Rizk, M., Galfalvy, H., Choo, T. H., & Mann, J. J. ( 2021 ). Coping strategies that reduce suicidal ideation: An ecological momentary assessment study. Journal of Psychiatric Research, 133, 32 – 37.
dc.identifier.citedreferenceStanley, B., Brown, G., Brent, D. A., Wells, K., Poling, K., Curry, J., Kennard, B. D., Wagner, A., Cwik, M. F., Klomek, A. B., Goldstein, T., Vitiello, B., Barnett, S., Daniel, S., & Hughes, J. ( 2009 ). Cognitive-behavioral therapy for suicide prevention (CBT-SP): Treatment model, feasibility, and acceptability. Journal of the American Academy of Child & Adolescent Psychiatry, 48 ( 10 ), 1005 – 1013. https://doi.org/10.1097/CHI.0b013e3181b5dbfe
dc.identifier.citedreferenceWorld Health Organization ( 2018 ). Suicide data. 2017. http://www.who.int/mental_health/prevention/suicide/suicideprevent/en/
dc.identifier.citedreferenceWright, A. G., Beltz, A. M., Gates, K. M., Molenaar, P., & Simms, L. J. ( 2015 ). Examining the dynamic structure of daily internalizing and externalizing behavior at multiple levels of analysis. Frontiers in Psychology, 6, 1914. https://doi.org/10.3389/fpsyg.2015.01914
dc.identifier.citedreferenceWright, A. G., & Woods, W. C. ( 2020 ). Personalized models of psychopathology. Annual Review of Clinical Psychology, 16. https://doi.org/10.1146/annurev-clinpsy-102419-125032
dc.identifier.citedreferenceAllan, 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
dc.identifier.citedreferenceBagge, C. L., Littlefield, A. K., & Glenn, C. R. ( 2017 ). Trajectories of affective response as warning signs for suicide attempts: An examination of the 48 hours prior to a recent suicide attempt. Clinical Psychological Science, 5 ( 2 ), 259 – 271. https://doi.org/10.1177/2167702616681628
dc.identifier.citedreferenceBeltz, A. M., & Gates, K. M. ( 2017 ). Network mapping with GIMME. Multivariate Behavioral Research, 52 ( 6 ), 789 – 804. https://doi.org/10.1080/00273171.2017.1373014
dc.identifier.citedreferenceBorkenau, P., & Ostendorf, F. ( 1998 ). The Big Five as states: How useful is the five-factor model to describe intraindividual variations over time? Journal of Research in Personality, 32 ( 2 ), 202 – 221. https://doi.org/10.1006/jrpe.1997.2206
dc.identifier.citedreferenceBryan, C. J., Bryan, A. O., & Baker, J. C. ( 2020 ). Associations among state-level physical distancing measures and suicidal thoughts and behaviors among US adults during the early COVID-19 pandemic. Suicide and Life-Threatening Behavior, 50 ( 6 ), 1223 – 1229. https://doi.org/10.1111/sltb.12653
dc.identifier.citedreferenceBryan, C. J., & Rudd, M. D. ( 2015 ). Demographic and diagnostic differences among suicide ideators, single attempters, and multiple attempters among military personnel and veterans receiving outpatient mental health care. Military Behavioral Health, 3 ( 4 ), 289 – 295. https://doi.org/10.1080/21635781.2015.1093978
dc.identifier.citedreferenceCattell, R. B. ( 1988 ). The data box. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (pp. 69 – 130 ). Springer.
dc.identifier.citedreferenceCDC ( 2020 ). Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved from https://www.cdc.gov/injury/wisqars/index.html
dc.identifier.citedreferenceCzeisler, M. É., Lane, R. I., Petrosky, E., Wiley, J. F., Christensen, A., Njai, R., & Rajaratnam, S. M. ( 2020 ). Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States. Morbidity and Mortality Weekly Report, 69 ( 32 ), 1049.
dc.identifier.citedreferenceCzyz, E. K., Bohnert, A. S., King, C. A., Price, A. M., Kleinberg, F., & Ilgen, M. A. ( 2014 ). Self-efficacy to avoid suicidal action: Factor structure and convergent validity among adults in substance use disorder treatment. Suicide and Life-Threatening Behavior, 44 ( 6 ), 698 – 709. https://doi.org/10.1111/sltb.12101
dc.identifier.citedreferenceCzyz, E. K., Horwitz, A. G., Arango, A., Cole-Lewis, Y., Berona, J., & King, C. A. ( 2016 ). Coping with suicidal urges among youth seen in a psychiatric emergency department. Psychiatry Research, 241, 175 – 181. https://doi.org/10.1016/j.psychres.2016.04.118
dc.identifier.citedreferenceCzyz, E. K., Horwitz, A. G., Arango, A., & King, C. A. ( 2019 ). Short-term change and prediction of suicidal ideation among adolescents: A daily diary study following psychiatric hospitalization. Journal of Child Psychology and Psychiatry, 60 ( 7 ), 732 – 741. https://doi.org/10.1111/jcpp.12974
dc.identifier.citedreferenceCzyz, E. K., Horwitz, A. G., & King, C. A. ( 2016 ). Self-rated expectations of suicidal behavior predict future suicide attempts among adolescent and young adult psychiatric emergency patients. Depression & Anxiety, 33, 512 – 519. https://doi.org/10.1002/da.22514
dc.identifier.citedreferenceCzyz, E. K., & King, C. A. ( 2015 ). Longitudinal trajectories of suicidal ideation and subsequent suicide attempts among adolescent inpatients. Journal of Clinical Child & Adolescent Psychology, 44 ( 1 ), 181 – 193. https://doi.org/10.1080/15374416.2013.836454
dc.identifier.citedreferenceCzyz, E. K., King, C. A., & Biermann, B. J. ( 2019 ). Motivational interviewing-enhanced safety planning for adolescents at high suicide risk: A pilot randomized controlled trial. Journal of Clinical Child and Adolescent Psychology, 48 ( 2 ), 250 – 262. https://doi.org/10.1080/15374416.2018.1496442
dc.identifier.citedreferenceCzyz, E. K., King, C. A., & Nahum-Shani, I. ( 2018 ). Ecological assessment of daily suicidal thoughts and attempts among suicidal teens after psychiatric hospitalization: Lessons about feasibility and acceptability. Psychiatry Research, 267, 566 – 574. https://doi.org/10.1016/j.psychres.2018.06.031
dc.identifier.citedreferenceFisher, A. J., Medaglia, J. D., & Jeronimus, B. F. ( 2018 ). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences of the United States of America, 115 ( 27 ), E6106 – E6115. https://doi.org/10.1073/pnas.1711978115
dc.identifier.citedreferenceFisher, A. J., Reeves, J. W., Lawyer, G., Medaglia, J. D., & Rubel, J. A. ( 2017 ). Exploring the idiographic dynamics of mood and anxiety via network analysis. Journal of Abnormal Psychology, 126 ( 8 ), 1044. https://doi.org/10.1037/abn0000311
dc.identifier.citedreferenceFoster, K. T., & Beltz, A. M. ( 2018 ). Advancing statistical analysis of ambulatory assessment data in the study of addictive behavior: A primer on three person-oriented techniques. Addictive Behaviors, 83, 25 – 34. https://doi.org/10.1016/j.addbeh.2017.12.018
dc.identifier.citedreferenceGates, K., & Molenaar, P. ( 2012 ). Group Iterative Multiple Model Estimation (GIMME). Quantitative Developmental Systems Methodology.
dc.identifier.citedreferenceStanley, B., & Brown, G. K. ( 2012 ). Safety planning intervention: A brief intervention to mitigate suicide risk. Cognitive and Behavioral Practice, 19 ( 2 ), 256 – 264. https://doi.org/10.1016/j.cbpra.2011.01.001
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
sltb12841.pdf
Size:
775.9KB
Format:
PDF
View/Open
Name:
sltb12841_am.pdf
Size:
601.8KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.