4.3 Article

Risk and protective factors for childhood suicidality: a US population-based study

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LANCET PSYCHIATRY
卷 7, 期 4, 页码 317-326

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ELSEVIER SCI LTD
DOI: 10.1016/S2215-0366(20)30049-3

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资金

  1. US National Institutes of Mental Health (NIMH) [R01MH113619, R01MH116147]
  2. NIMH [R01MH067924, R01MH08024]
  3. Staunton Farm Foundation
  4. National Institute of Drug Abuse [U01 DA041028, R01 MH100155, R01 MH116652, P50 MH115838, U01 MH116923, R01 MH11358]
  5. National Institutes of Health (NIH)
  6. [U01DA041022]
  7. [U01DA041028]
  8. [U01DA041048]
  9. [U01DA041089]
  10. [U01DA041106]
  11. [U01DA041117]
  12. [U01DA041120]
  13. [U01DA041134]
  14. [U01DA041148]
  15. [U01DA041156]
  16. [U01DA041174]
  17. [U24DA041123]
  18. [U24DA041147]
  19. [U01DA041093]
  20. [U01DA041025]

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Background Childhood suicidal ideation and behaviours are poorly understood. We examined correlates of suicidality in a US population-based sample of children participating in the Adolescent Brain and Cognitive Development (ABCD) study. The ABCD study aims to examine trajectories of mental health from childhood to adulthood and collects information on multiple domains, including mental and physical wellbeing, brain imaging, behavioural and cognitive characteristics, and social and family environment. We sought to identify and rank risk and protective factors for childhood suicidal thoughts and behaviours across these multiple domains and evaluate their association with self-agreement and caregiver agreement in reporting suicidality. Methods The ABCD sample comprises a cohort of 11 875 children aged 9-10 years. The sociodemographic factors on which the sample was recruited were age, sex, race, socioeconomic status, and urbanicity. Participants were enrolled at 22 sites, the catchment area of which encompassed over 20% of the entire US population in this age group. Multistage sampling was used to ensure both local randomisation and representativeness of sociodemographic variation of the ABCD sample. The data used in this study were accessed from the ABCD Study Curated Annual Release 2.0. Suicidal thoughts and behaviours (suicidality) in each child were evaluated through independent child and caregiver reports based on the computerized Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5 (KSADS-5). We used bootstrapped logistic regression to quantify the association between suicidal ideation and behaviours, with measures of mental and physical wellbeing, behaviour, cognition, and social and family environment in participants from the ABCD study. Findings Our study sample comprised 7994 unrelated children (mean age 9.9 years [SD 0.5]; 4234 [53%] male participants) with complete data on child-reported and caregiver-reported suicidal ideas and behaviours. Overall, 673 (8.4%) children reported any past or current suicidal ideation, 75 (0.9%) had any past or current suicidal plans, and 107 (1.3%) had any past or current suicidal attempts. According to caregivers, 650 (8.1%) of the children reported any past or current suicidal ideation, 46 (0.6%) reported any past or current suicidal plans, and 39 (0.5%) reported past or current suicidal attempts. However, inter-informant agreement was low (Cohen's. range 0.0-0.2). Regardless of informant, child psychopathology (odds ratio [OR] 1.7-4.8, 95% CI 1.5-7.4) and child-reported family conflict (OR 1.4-1.8, 95% CI 1.1-2.5) were the most robust risk factors for suicidality. The risk of child-reported suicidality increased with higher weekend screen use time (OR 1.3, 95% CI 1.2-1.7) and reduced with greater parental supervision and positive school involvement (for both OR 0.8, 95% CI 0.7-0.9). Additionally, caregiver-reported suicidality was positively associated with caregiver educational level (OR 1.3, 95% CI 1.1-1.5) and male sex in children (1.5, 1.1-2.0), and inversely associated with the number of household cohabitants (0.8, 0.7-1.0). Interpretation We identified risk and protective factors that show robust and generalisable associations with childhood suicidality. These factors provide actionable targets for optimising prevention and intervention strategies, support the need to identify and treat psychopathology in school-age children, and underscore the importance of school and family interventions for childhood suicidality.

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