Top

Gepubliceerd in:

05-11-2022 | Empirical Research

A Longitudinal Network Analysis of the Interactions of Risk and Protective Factors for Suicidal Potential in Early Adolescents

Auteurs: Yumei Li, Sylvia Y.C.L. Kwok

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 2/2023

Abstract

Few studies have applied the “ideation-to-action” theories and the buffering hypothesis of resilience to suicide in early adolescents, and existing research is primarily cross-sectional. This study examined the interactions between risk factors (i.e., thwarted belongingness, perceived burdensomeness, and hopelessness), protective factors (i.e., resilience, self-efficacy, and subjective happiness), and suicidal potential (i.e., family distress, anxious-impulsive depression, and suicidal ideation or acts) in early adolescents. The participants (N = 1615; 55.6% females; M _age = 10.93, SD _age = 1.14, range: 9–15) who were recruited from four primary and four secondary schools in Hong Kong completed the survey in 2020 and 2021. The contemporaneous networks suggested that perceived burdensomeness and hopelessness were positively associated with suicidal potential. Protective factors were negatively associated with risk factors studied and suicidal potential. The node with the greatest centrality strength was anxious-impulsive depression. The nodes most likely to connect with other constructs were self-efficacy and hopelessness. A temporal network suggested the predictive effect of hopelessness and the protective effect of subjective happiness on future suicidal ideation or acts. Moreover, self-efficacy was found to buffer the impact of hopelessness on future suicidal ideation or acts. These findings highlighted the contribution of hopelessness to suicidal potential among early adolescents and the buffering effects of subjective happiness and self-efficacy.

vorige artikel A Daily Examination of the Moderating Role of Adolescents’ Coping in Associations between Psychologically Controlling Parenting and Adolescents’ Maladjustment

volgende artikel Type and Breadth of High School Extracurricular Activity Involvement and Postsecondary Psychosocial Well-Being among Diverse Youth

Alleen toegankelijk voor geautoriseerde gebruikers

Al-Dajani, N., & Czyz, E. K. (2022). Suicidal desire in adolescents: an examination of the interpersonal psychological theory using daily diaries. Journal of Clinical Child & Adolescent Psychology, 1–15. https://doi.org/10.1080/15374416.2022.2051525.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191.CrossRef

Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014.CrossRef

Bryan, C. J. & Rudd, M. D. (2016). The importance of temporal dynamics in the transition from suicidal thought to behavior. Clinical Psychology: Science and Practice, 23(1), 21–25. https://doi.org/10.1111/cpsp.12135.

Caissy, G. A. (1994). Early adolescence: Understanding the 10 to 15 year old. ERIC.

Calati, R., Romano, D., Magliocca, S., Madeddu, F., Zeppegno, P., & Gramaglia, C. (2022). The interpersonal-psychological theory of suicide and the role of psychological pain during the COVID-19 pandemic: A network analysis. Journal of Affective Disorders, 302, 435–439. https://doi.org/10.1016/j.jad.2022.01.078.CrossRef

Chang, Q., Xing, J., Ho, R. T. H., & Yip, P. S. F. (2019). Cyberbullying and suicide ideation among Hong Kong adolescents: The mitigating effects of life satisfaction with family, classmates and academic results. Psychiatry Research, 274, 269–273. https://doi.org/10.1016/j.psychres.2019.02.054.CrossRef

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, Jr, 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.CrossRef

Chung, S., Hovmand, P., McBride, A. M., & Joiner, T. (2022, 2022/05/08). Suicide attempts during adolescence: Testing the system dynamics of the interpersonal theory of suicide. Journal of Adolescence. https://doi.org/10.1002/jad.12051.

Conlin, W. E., Hoffman, M., Steinley, D., & Sher, K. J. (2022). Cross-sectional and longitudinal AUD symptom networks: They tell different stories. Addictive Behaviors, 131, 107333 https://doi.org/10.1016/j.addbeh.2022.107333.CrossRef

Czyz, E. K., Yap, J. R. T., King, C. A., & Nahum-Shani, I. (2020). Using intensive longitudinal data to identify early predictors of suicide-related outcomes in high-risk adolescents: practical and conceptual considerations. Assessment, 28(8), 1949–1959. https://doi.org/10.1177/1073191120939168.CrossRef

de Beurs, D., Bockting, C., Kerkhof, A., Scheepers, F., O’Connor, R., Penninx, B., & van de Leemput, I. (2021). A network perspective on suicidal behavior: Understanding suicidality as a complex system. Suicide and Life-Threatening Behavior, 51(1), 115–126. https://doi.org/10.1111/sltb.12676.CrossRef

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.CrossRef

Dew, R. E., Daniel, S. S., Armstrong, T. D., Goldston, D. B., Triplett, M. F. & & Koenig, H. G. (2008). Religion/spirituality and adolescent psychiatric symptoms: a review. Child Psychiatry and Human Development, 39(4), 381–398. https://doi.org/10.1007/s10578-007-0093-2.

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.

Erausquin, J. T., McCoy, T. P., Bartlett, R. & Park, E. (2019). Trajectories of suicide ideation and attempts from early adolescence to mid-adulthood: associations with race/ethnicity. Journal of Youth and Adolescence, 48(9), 1796–1805. https://doi.org/10.1007/s10964-019-01074-3.

Fergus, S., & Zimmerman, M. A. (2005). ADOLESCENT RESILIENCE: a framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26(1), 399–419. https://doi.org/10.1146/annurev.publhealth.26.021304.144357.CrossRef

Fonseca-Pedrero, E., Al-Halabí, S., Pérez-Albéniz, A., & Debbané, M. (2022). Risk and protective factors in adolescent suicidal behaviour: a network analysis. International Journal of Environmental Research and Public Health, 19(3), 1784 https://doi.org/10.3390/ijerph19031784.CrossRef

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(2), 187–232. https://doi.org/10.1037/bul0000084.CrossRef

Geoffroy, M.-C., Orri, M., Girard, A., Perret, L. C., & Turecki, G. (2021). Trajectories of suicide attempts from early adolescence to emerging adulthood: prospective 11-year follow-up of a Canadian cohort. Psychological Medicine, 51(11), 1933–1943. https://doi.org/10.1017/S0033291720000732.CrossRef

Gratz, K. L., Tull, M. T., Richmond, J. R., Edmonds, K. A., Scamaldo, K. M., & Rose, J. P. (2020). Thwarted belongingness and perceived burdensomeness explain the associations of COVID-19 social and economic consequences to suicide risk. Suicide and Life-Threatening Behavior, 50(6), 1140–1148. https://doi.org/10.1111/sltb.12654.CrossRef

Hill, R. M., Rey, Y., Marin, C. E., Sharp, C., Green, K. L., & Pettit, J. W. (2015). Evaluating the interpersonal needs questionnaire: comparison of the reliability, factor structure, and predictive validity across five versions. Suicide and Life-Threatening Behavior, 45(3), 302–314. https://doi.org/10.1111/sltb.12129.CrossRef

HKSAR Government. (2022, 21/03/2022 07:12). Latest Situation of Coronavirus Disease (COVID-19) in Hong Kong. HKSAR Government. Retrieved March 21 from https://chp-dashboard.geodata.gov.hk/covid-19/zh.html.

Holman, M. S. & Williams, M. N. (2022). Suicide risk and protective factors: a network approach. Archives of Suicide Research, 26(1), 137–154. https://doi.org/10.1080/13811118.2020.1774454.

Hong Kong Jockey Club Centre for Suicide Research and Prevention (2022). Suicide rates by age groups in Hong Kong 1997–2021. Hong Kong Jockey Club Centre for Suicide Research and Prevention. Retrieved October 10 from https://csrp.hku.hk/statistics/.

IBM Corp. (2019). IBM SPSS Statistics for Windows, Version 26.0. In IBM Corp.

Ivbijaro, G., Kolkiewicz, L., Goldberg, D., Riba, M. B., N’jie, I. N. S., Geller, J., Kallivayalil, R., Javed, A., Švab, I., Summergrad, P., Laher, S., & Enum, Y. (2019). Preventing suicide, promoting resilience: Is this achievable from a global perspective? Asia-Pacific Psychiatry, 11(4), e12371 https://doi.org/10.1111/appy.12371.CrossRef

Jobes, D. A., & Joiner, T. E. (2019). Reflections on suicidal ideation. Crisis, 40(4), 227–230. https://doi.org/10.1027/0227-5910/a000615.CrossRef

Johnson, J., Wood, A. M., Gooding, P., Taylor, P. J. & Tarrier, N. (2011). Resilience to suicidality: The buffering hypothesis. Clinical Psychology Review, 31(4), 563–591. https://doi.org/10.1016/j.cpr.2010.12.007.

Joiner, T. (2005). Why people die by suicide. Harvard University Press.

Jones, P. J., Ma, R. & McNally, R. J. (2021). Bridge centrality: a network approach to understanding comorbidity. Multivariate Behavioral Research, 56(2), 353–367. https://doi.org/10.1080/00273171.2019.1614898.

Kacic, V., Zimmerman, F., Milbourn, B., Girdler, S., Black, M., Bölte, S., & Hayden-Evans, M. (2021). Developing resilience and promoting positive mental health strategies in university students. BJPsych Open, 7(S1), S142–S143. https://doi.org/10.1192/bjo.2021.403.CrossRef

Kleiman, 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), 726–738. https://doi.org/10.1037/abn0000273.CrossRef

Klonsky, E. D., & May, A. M. (2015). The three-step theory (3ST): a new theory of suicide rooted in the “ideation-to-action” framework. International Journal of Cognitive Therapy, 8(2), 114–129. https://doi.org/10.1521/ijct.2015.8.2.114.CrossRef

Klonsky, E. D., Pachkowski, M. C., Shahnaz, A., & May, A. M. (2021). The three-step theory of suicide: Description, evidence, and some useful points of clarification. Preventive Medicine, 152, 106549 https://doi.org/10.1016/j.ypmed.2021.106549.CrossRef

Klonsky, E. D., Saffer, B. Y. & Bryan, C. J. (2018). Ideation-to-action theories of suicide: a conceptual and empirical update. Current Opinion in Psychology, 22, 38–43. https://doi.org/10.1016/j.copsyc.2017.07.020.

Knowles, J. R. P., Gray, N. S., O’Connor, C., Pink, J., Simkiss, N. J., & Snowden, R. J. (2021). The role of hope and resilience in protecting against suicidal thoughts and behaviors during the COVID-19 pandemic. Archives of Suicide Research, 1–18. https://doi.org/10.1080/13811118.2021.1923599.

Kwan, C. K. & Kwok, S. Y. C. L. (2021). The impact of childhood emotional abuse on adolescents’ subjective happiness: the mediating role of emotional intelligence. Applied Research in Quality of Life, 16(6), 2387–2401. https://doi.org/10.1007/s11482-021-09916-8.

Kwok, S. Y. C. L., & Shek, D. T. L. (2010). Hopelessness, parent-adolescent communication, and suicidal ideation among Chinese adolescents in Hong Kong. Suicide and Life-Threatening Behavior, 40(3), 224–233. https://doi.org/10.1521/suli.2010.40.3.224.CrossRef

Lai, C. C. W., & Boag, S. (2021). Chinese versions of the Interpersonal Needs Questionnaire: Psychometric properties, measurement invariance across gender and cultures. Psych Journal, 10(4), 635–648. https://doi.org/10.1002/pchj.436.CrossRef

Lawrence, R. E., Oquendo, M. A. & & Stanley, B. (2016). Religion and suicide risk: a systematic review. Archives of Suicide Research, 20(1), 1–21. https://doi.org/10.1080/13811118.2015.1004494.

Lim, K.-S., Wong, C. H., McIntyre, R. S., Wang, J., Zhang, Z., Tran, B. X., Tan, W., Ho, C. S., & Ho, R. C. (2019). Global lifetime and 12-month prevalence of suicidal behavior, deliberate self-harm and non-suicidal self-injury in children and adolescents between 1989 and 2018: a meta-analysis. International Journal of Environmental Research and Public Health, 16(22), 4581 https://doi.org/10.3390/ijerph16224581.CrossRef

Liu, D., Epskamp, S., Isvoranu, A.-M., Chen, C., Liu, W., & Hong, X. (2021). Network analysis of physical and psychiatric symptoms of hospital discharged patients infected with COVID-19. Journal of Affective Disorders, 294, 707–713. https://doi.org/10.1016/j.jad.2021.07.043.CrossRef

Low, Y. T. A., Kwok, S. Y. C. L., Tam, H. L. C., Yeung, W. K. J., & Lo, H. M. H. (2017). The relationship between childhood physical abuse and suicidal ideation among Chinese university students: Possible moderators. Children and Youth Services Review, 81, 94–100. https://doi.org/10.1016/j.childyouth.2017.07.026 .CrossRef

Lyubomirsky, S. & & Lepper, H. S. (1999). A measure of subjective happiness: preliminary reliability and construct validation. Social Indicators Research, 46(2), 137–155. https://doi.org/10.1023/A:1006824100041.

Ma, J., Batterham, P. J., Calear, A. L., & Han, J. (2016). A systematic review of the predictions of the interpersonal–psychological theory of suicidal behavior. Clinical Psychology Review, 46, 34–45. https://doi.org/10.1016/j.cpr.2016.04.008.CrossRef

Ma, J., Batterham, P. J., Calear, A. L. & & Sunderland, M. (2019). The development and validation of the thwarted belongingness scale (TBS) for interpersonal suicide risk. Journal of Psychopathology and Behavioral Assessment, 41(3), 456–469. https://doi.org/10.1007/s10862-019-09721-6.

May, A. M., Pachkowski, M. C., & Klonsky, E. D. (2020). Motivations for suicide: Converging evidence from clinical and community samples. Journal of Psychiatric Research, 123, 171–177. https://doi.org/10.1016/j.jpsychires.2020.02.010.CrossRef

Oakey-Frost, N., Cowan, T., Moscardini, E. H., Pardue-Bourgeois, S., de Beurs, D., Cohen, A., Bryan, C. J., & Tucker, R. P. (2022). Examining the interrelationships among suicide cognitions, suicidal ideation, and theoretically derived protective factors. Archives of Suicide Research, 1–18. https://doi.org/10.1080/13811118.2022.2096521.

Ordóñez-Carrasco, J. L., Sayans-Jiménez, P., & Rojas-Tejada, A. J. (2021, 2021/04/23). Ideation-to-action framework variables involved in the development of suicidal ideation: A network analysis. Current Psychology. https://doi.org/10.1007/s12144-021-01765-w.

Pfeffer, C. R., Jiang, H., & Kakuma, T. (2000). Child–adolescent suicidal potential index (CASPI): A screen for risk for early onset suicidal behavior. Psychological Assessment, 12(3), 304–318. https://doi.org/10.1037/1040-3590.12.3.304.CrossRef

R Core Team. (2022). R: A language and environment for statistical computing. In (Version 4.2.1) R Foundation for Statistical Computing. https://www.R-project.org/.

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, 100292–100292. https://doi.org/10.1016/j.invent.2019.100292.CrossRef

Reinherz, H. Z., Tanner, J. L., Berger, S. R., Beardslee, W. R., & Fitzmaurice, G. M. (2006). Adolescent suicidal ideation as predictive of psychopathology, suicidal behavior, and compromised functioning at age 30. American Journal of Psychiatry, 163(7), 1226–1232. https://doi.org/10.1176/ajp.2006.163.7.1226.CrossRef

Roxborough, H. M., Hewitt, P. L., Kaldas, J., Flett, G. L., Caelian, C. M., Sherry, S., & Sherry, D. L. (2012). Perfectionistic Self-Presentation, Socially Prescribed Perfectionism, and Suicide in Youth: A Test of the Perfectionism Social Disconnection Model. Suicide and Life-Threatening Behavior, 42(2), 217–233. https://doi.org/10.1111/j.1943-278X.2012.00084.x.CrossRef

Rhemtulla, M., van Bork, R., & Cramer, A. (2021). Cross-lagged network models. Multivariate Behavioral Research. https://osf.io/r24q6/.

Rudd, M. D. (2006). Fluid vulnerability theory: a cognitive approach to understanding the process of acute and chronic suicide risk. In Cognition and suicide: Theory, research, and therapy. (pp. 355–368). American Psychological Association. https://doi.org/10.1037/11377-016.

Shahram, S. Z., Smith, M. L., Ben-David, S., Feddersen, M., Kemp, T. E. & Plamondon, K. (2021). Promoting “Zest for Life”: a systematic literature review of resiliency factors to prevent youth suicide. Journal of Research on Adolescence, 31(1), 4–24. https://doi.org/10.1111/jora.12588.

She, R., Wong, K., Lin, J., Leung, K., Zhang, Y., & Yang, X. (2021). How COVID-19 stress related to schooling and online learning affects adolescent depression and Internet gaming disorder: Testing Conservation of Resources theory with sex difference. Journal of Behavioral Addictions, 10(4), 953–966. https://doi.org/10.1556/2006.2021.00069.CrossRef

Shek, D. T. L. (1993). Measurement of pessimism in chinese adolescents - the Chinese hopelessness scale. Social Behavior and Personality, 21(2), 107–119. https://doi.org/10.2224/sbp.1993.21.2.107.CrossRef

Shek, D. T. L. & Ma, C. M. S. (2010). Dimensionality of the Chinese positive youth development scale: confirmatory factor analyses. Social Indicators Research, 98(1), 41–59. https://doi.org/10.1007/s11205-009-9515-9.

Shek, D. T. L., Siu, A. M. H. & Tak Yan, L. (2007). The Chinese positive youth development scale: a validation study. Research on Social Work Practice, 17(3), 380–391. https://doi.org/10.1177/1049731506296196.

Sher, L. (2019). Resilience as a focus of suicide research and prevention. Acta Psychiatrica Scandinavica, 140(2), 169–180. https://doi.org/10.1111/acps.13059.

Siu, A. M. H. (2019). Self-harm and suicide among children and adolescents in Hong Kong: a review of prevalence, risk factors, and prevention strategies. Journal of Adolescent Health, 64(6, Supplement), S59–S64. https://doi.org/10.1016/j.jadohealth.2018.10.004.

Snowdon, J. (2018). Differences between patterns of suicide in East Asia and the West. The importance of sociocultural factors. Asian Journal of Psychiatry, 37, 106–111. https://doi.org/10.1016/j.ajp.2018.08.019.CrossRef

Stewart, S. M., Eaddy, M., Horton, S. E., Hughes, J. & Kennard, B. (2017). The validity of the interpersonal theory of suicide in adolescence: a review. Journal of Clinical Child & Adolescent Psychology, 46(3), 437–449. https://doi.org/10.1080/15374416.2015.1020542.2017/05/04.

van Buuren, S., & Groothuis-Oudshoorn, K. (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of statistical software, 45(3), 1–67. https://doi.org/10.18637/jss.v045.i03.CrossRef

Wolitzky-Taylor, K., LeBeau, R. T., Perez, M., Gong-Guy, E. & Fong, T. (2020). Suicide prevention on college campuses: What works and what are the existing gaps? A systematic review and meta-analysis. Journal of American College Health, 68(4), 419–429. https://doi.org/10.1080/07448481.2019.1577861.

Wong, A., Lai, C. C. S., Shum, A. K. Y. & & Yip, P. S. F. (2022). From the hidden to the obvious: classification of primary and secondary school student suicides using cluster analysis. BMC Public Health, 22(1), 693 https://doi.org/10.1186/s12889-022-12983-7.

Wong, L., & Chan, C.-w. (2019). Promotion of adolescent mental health in Hong Kong—the role of a comprehensive child health policy. Journal of Adolescent Health, 64(6), S14–S18. https://doi.org/10.1016/j.jadohealth.2019.01.033.CrossRef

Zainal, N. H., & Newman, M. G. (2022). A cross-lagged prospective network analysis of depression and anxiety and cognitive functioning components in midlife community adult women. Psychological Medicine, 1–12. https://doi.org/10.1017/S0033291722000848.

Zhu, S., Zhuang, Y., Lee, P., Li, J. C.-M. & Wong, P. W. C. (2021). Leisure and problem gaming behaviors among children and adolescents during school closures caused by COVID-19 in Hong Kong: quantitative cross-sectional survey study. JMIR Serious Games, 9(2), e26808 https://doi.org/10.2196/26808.

Titel: A Longitudinal Network Analysis of the Interactions of Risk and Protective Factors for Suicidal Potential in Early Adolescents
Auteurs: Yumei Li
Sylvia Y.C.L. Kwok
Publicatiedatum: 05-11-2022
Uitgeverij: Springer US
Gepubliceerd in: Journal of Youth and Adolescence / Uitgave 2/2023
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI: https://doi.org/10.1007/s10964-022-01698-y

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 2/2023

A Daily Examination of the Moderating Role of Adolescents’ Coping in Associations between Psychologically Controlling Parenting and Adolescents’ Maladjustment

Taking the good with the bad?: Social Media and Online Racial Discrimination Influences on Psychological and Academic Functioning in Black and Hispanic Youth

The Development of School Satisfaction in Chinese Early Adolescents: The Contributions of Peer Liking and Academic Performance

Trajectories of Perceived Technological Impairment and Psychological Distress in Adolescents

Helicopter Parenting and Emotional Problems in Chinese Emerging Adults: Are there Cross-lagged Effects and the Mediations of Autonomy?

Examining the Prospective Bidirectional Associations between Subjective and Objective Attractiveness and Adolescent Internalizing Symptoms and Life Satisfaction