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The transition trajectories of self-injurious thoughts and behaviours among children from a biopsychosocial perspective

Abstract

Although self-injurious thoughts and behaviours (SITB) among children pose an imminent public health concern, the comprehensive understanding of SITB transitions remains unclear. Here we used the longitudinal data of 7,270 children from the Adolescent Brain and Cognitive DevelopmentSM Study (ABCD Study). We found that SITB transitions are linked to altered cortical areas of the dorsal lateral prefrontal cortex and the posterior cingulate cortex and altered functional connectivity between the default mode and attention networks. Additionally, high behaviour inhibition and general psychopathology (that is, p-factor) were identified as risk factors for SITB transitions, while the presence of robust family support and school support served as protective factors. Our study extends prior cross-sectional investigations by elucidating the temporal precedence of specific biopsychosocial factors, underscoring their potential predictive significance in SITB occurrence. Early identification of these factors holds great promise for targeted prevention, addressing the pressing public health concerns associated with SITB.

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Fig. 1
Fig. 2: Brain structure associated with SIT and SIB transition.
Fig. 3: Functional connectivity associated with SIT and SIB transition.

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Data availability

Data are from the ABCD Study. Access to ABCD Study data is restricted to protect participants’ privacy. Users must create an account through the National Institute of Mental Health (NIMH) Data Archive, and they may then complete the necessary steps to gain access (https://data-archive.nimh.nih.gov/abcd). Processed data from this study (including the MRI and rsfMRI) have been uploaded to the NIMH Data Archive (NDA). Information on how to access ABCD data through the NDA is available on the ABCD Study data sharing webpage: https://abcdstudy.org/scientists_data_sharing.html. The ABCD data used in this report came from ABCD release 4.0 (https://doi.org/10.15154/1523041). All variables included in the current study are listed and described in Supplementary Table 1.

Code availability

Scripts that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

D.Q. was supported by the Shuimu Tsinghua Scholar Program of Tsinghua University. We thank the ABCD participants and their families for their time and dedication to this project. Data used in the preparation of this article were obtained from the ABCD Study (https://abcdstudy.org) and are held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children aged 9–10 years and follow them over 10 years into early adulthood. The ABCD Study is supported by the National Institutes of Health (NIH) and additional federal partners under award numbers U01DA0401048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123 and U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/principal-investigators/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD repository grows and changes over time. The ABCD data used in this report came from ABCD release 4.0 (https://doi.org/10.15154/1523041). DOIs can be found at https://nda.nih.gov/.

Author information

Authors and Affiliations

Authors

Contributions

R.C., Xiaoqian Zhang, Z.C., X.W. and D.Q. designed the study. X.W. and D.Q. analysed the data. X.W., D.Q., R.C., Xiaoqian Zhang and Z.C. interpreted data. X.W. and D.Q. wrote the first draft of the manuscript. X.W. made the tables and figures. R.C., D.Q., Xiaoqian Zhang, Y.W., Xuan Zhang and Z.C. revised the manuscript critically. All authors contributed feedback and approved the final manuscript.

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Correspondence to Zaixu Cui, Xiaoqian Zhang or Runsen Chen.

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Nature Mental Health thanks Daiane Borges Machado and the other, anonymous, reviewers for their contribution to the peer review of this work.

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Extended Data

Extended Data Fig. 1 Psychosocial characteristics of SIT and SIB transition group.

a–c: Psychological characteristics (NControl = 6743, NSIT = 282, NSIB = 241) measured by Behavioral Inhibition/Activation Scales (BIS/BAS), including behavioral inhibition (BIS, motivation to avoid aversive outcomes), reward responsiveness (that is, sensitivity to reward), and drive (that is, intensity of goal-directed behavior). d–g: Psychopathological characteristics (NControl = 6747, NSIT = 282, NSIB = 241), including general psychopathology (that is, p-factor) and dimensional psychopathology (that is, conduct problems, internalizing, and ADHD). h, i: Social characteristics (NControl = 6732, NSIT = 282, NSIB = 240), including family support and school support. Center lines in the boxplots represent median values, box limits represent the 25th and 75th percentiles, respectively. The whiskers extend to the most extreme data points not considered outliers. Abbreviations: Control = no-transition control group; SIT = self-injurious thoughts transition group; SIB = self-injurious behaviors transition group.

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Supplementary Information

Supplementary Tables 1–3 and Figs. 1–3.

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Wen, X., Qu, D., Zhang, X. et al. The transition trajectories of self-injurious thoughts and behaviours among children from a biopsychosocial perspective. Nat. Mental Health 1, 782–791 (2023). https://doi.org/10.1038/s44220-023-00130-z

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