IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v179y2025ics0190740925005316.html

Early life adversity and suicide: the role of childhood trauma and risk factors in adolescent suicidal behavior

Author

Listed:
  • Arias, Paula
  • Arqueros, María
  • Suárez – Soto, Elizabeth
  • García-Ramos, Adriana
  • Ayad-Ahmed, Wala
  • Ovejero-Ruiz, Adriana
  • de la Torre – Luque, Alejandro

Abstract

Suicide is a major global health issue and a leading cause of death among adolescents. Research highlights that suicidal behavior arises from the interaction of multiple risk factors, including emotional dysregulation, depression, prior attempts, and exposure to trauma. Early life adversity, including various forms of childhood trauma such as physical abuse, emotional abuse, sexual abuse and neglect has long-term implications on mental health. Objective: This study investigates the influence of different types of childhood trauma and other risk factors (depression, substance use, and emotional dysregulation) on suicidal ideation, suicide attempts and non-suicidal self-injury (NSSI) among adolescents in Spain. Methods: A sample of adolescents aged 12–16 years in Madrid completed validated assessments, including the Childhood Trauma Questionnaire (CTQ), Paykel Suicide Scale (PSS), Beck Depression Inventory (BDI-II), and others. Predictive models were constructed using LASSO Regression to explore key predictors of suicidal behavior. Results: Depression was the strongest predictor for suicidal ideation, suicide attempts, and NSSI. Emotional abuse was the second most significant factor, surpassing other types of trauma. Sexual abuse, peer relationship issues, and cannabis use were also identified as moderate risk factors for suicide attempts. Age showed an inverse association with NSSI risk. Conclusion: Depression and emotional abuse are critical predictors of suicidal behavior, suggesting the need for targeted interventions addressing emotional regulation and trauma symptoms. Prevention efforts should also focus on early identification of self-harm behaviors and the influence of substance use, particularly cannabis, among youth. Further research is recommended to refine intervention strategies.

Suggested Citation

  • Arias, Paula & Arqueros, María & Suárez – Soto, Elizabeth & García-Ramos, Adriana & Ayad-Ahmed, Wala & Ovejero-Ruiz, Adriana & de la Torre – Luque, Alejandro, 2025. "Early life adversity and suicide: the role of childhood trauma and risk factors in adolescent suicidal behavior," Children and Youth Services Review, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:cysrev:v:179:y:2025:i:c:s0190740925005316
    DOI: 10.1016/j.childyouth.2025.108648
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740925005316
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2025.108648?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Richardson, Cara & Robb, Kathryn A. & O'Connor, Rory C., 2021. "A systematic review of suicidal behaviour in men: A narrative synthesis of risk factors," Social Science & Medicine, Elsevier, vol. 276(C).
    2. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    3. Soylu, Nusret & Tanır, Yaşar & Alpaslan, Ahmet & Karayagmurlu, Ali & Kaya, İlyas & Aslan, Mehmet, 2022. "Investigation of suicide probability in sexually abused adolescents and the associated factors," Children and Youth Services Review, Elsevier, vol. 137(C).
    4. Meiqian Gong & Sheng Zhang & Wenyan Li & Wanxin Wang & Ruipeng Wu & Lan Guo & Ciyong Lu, 2020. "Association between Childhood Maltreatment and Suicidal Ideation and Suicide Attempts among Chinese Adolescents: The Moderating Role of Depressive Symptoms," IJERPH, MDPI, vol. 17(17), pages 1-14, August.
    5. Zhang, Lin & Xu, Yixiao & Funkhouser, Carter J. & Monteleone, Alessio Maria & Yu, Xianglian, 2024. "Childhood trauma, emotion regulation, peer attachment, and family functioning: A longitudinal network analysis," Children and Youth Services Review, Elsevier, vol. 166(C).
    6. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    7. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz, 2015. "Variable selection in general multinomial logit models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 207-222.
    2. Mkhadri, Abdallah & Ouhourane, Mohamed, 2013. "An extended variable inclusion and shrinkage algorithm for correlated variables," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 631-644.
    3. Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Daily growth at risk: Financial or real drivers? The answer is not always the same," International Journal of Forecasting, Elsevier, vol. 40(2), pages 762-776.
    4. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    5. Immanuel Bayer & Philip Groth & Sebastian Schneckener, 2013. "Prediction Errors in Learning Drug Response from Gene Expression Data – Influence of Labeling, Sample Size, and Machine Learning Algorithm," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    6. Mostafa Rezaei & Ivor Cribben & Michele Samorani, 2021. "A clustering-based feature selection method for automatically generated relational attributes," Annals of Operations Research, Springer, vol. 303(1), pages 233-263, August.
    7. Gustavo A. Alonso-Silverio & Víctor Francisco-García & Iris P. Guzmán-Guzmán & Elías Ventura-Molina & Antonio Alarcón-Paredes, 2021. "Toward Non-Invasive Estimation of Blood Glucose Concentration: A Comparative Performance," Mathematics, MDPI, vol. 9(20), pages 1-13, October.
    8. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    9. Karim Barigou & Stéphane Loisel & Yahia Salhi, 2020. "Parsimonious Predictive Mortality Modeling by Regularization and Cross-Validation with and without Covid-Type Effect," Risks, MDPI, vol. 9(1), pages 1-18, December.
    10. Gurgul Henryk & Machno Artur, 2017. "Trade Pattern on Warsaw Stock Exchange and Prediction of Number of Trades," Statistics in Transition New Series, Statistics Poland, vol. 18(1), pages 91-114, March.
    11. Michael Funke & Helery Tasane, 2025. "Regional economic impacts of the Øresund cross-border fixed link: Cui Bono?," Regional Studies, Taylor & Francis Journals, vol. 59(1), pages 2573115-257, December.
    12. Heinisch, Katja & Scaramella, Fabio & Schult, Christoph, 2025. "Assumption errors and forecast accuracy: A partial linear instrumental variable and double machine learning approach," IWH Discussion Papers 6/2025, Halle Institute for Economic Research (IWH).
    13. Camila Epprecht & Dominique Guegan & Álvaro Veiga & Joel Correa da Rosa, 2017. "Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics," Post-Print halshs-00917797, HAL.
    14. Zichen Zhang & Ye Eun Bae & Jonathan R. Bradley & Lang Wu & Chong Wu, 2022. "SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    15. Štefan Lyócsa & Petra Vašaničová & Branka Hadji Misheva & Marko Dávid Vateha, 2022. "Default or profit scoring credit systems? Evidence from European and US peer-to-peer lending markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-21, December.
    16. Peter Bühlmann & Jacopo Mandozzi, 2014. "High-dimensional variable screening and bias in subsequent inference, with an empirical comparison," Computational Statistics, Springer, vol. 29(3), pages 407-430, June.
    17. Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Risks, MDPI, vol. 6(2), pages 1-20, April.
    18. Capanu, Marinela & Giurcanu, Mihai & Begg, Colin B. & Gönen, Mithat, 2023. "Subsampling based variable selection for generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 184(C).
    19. Abhinav Kaushik & Diane Dunham & Xiaorui Han & Evan Do & Sandra Andorf & Sheena Gupta & Andrea Fernandes & Laurie Elizabeth Kost & Sayantani B. Sindher & Wong Yu & Mindy Tsai & Robert Tibshirani & Sco, 2022. "CD8+ T cell differentiation status correlates with the feasibility of sustained unresponsiveness following oral immunotherapy," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    20. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:179:y:2025:i:c:s0190740925005316. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.