Positive wellbeing and resilience following adolescent victimisation: An exploration into protective factors across development

Children's resilience to sibling victimization: The role of family, peer, school, and neighborhood factors

Although common, little is known about the potential impacts of sibling victimization, and how best to ameliorate these. We explored longitudinal associations between sibling victimization and mental health and wellbeing outcomes, and promotive and risk factors that predicted better or worse outcomes following victimization. Data were from >12,000 participants in the Millennium Cohort Study, a longitudinal UK birth cohort, who reported on sibling victimization at age 11 and/or 14 years. We identified potential risk and promotive factors at family, peer, school, and neighborhood levels from age 14 data. Mental health and wellbeing outcomes (internalizing and externalizing problems, mental wellbeing, self-harm) were collected at age 17. Results suggested that over and above pre-existing individual and family level vulnerabilities, experiencing sibling victimization was associated with significantly worse mental health and wellbeing. Having no close friends was a risk factor for worse-than-expected outcomes following victimization. Higher levels of school motivation and engagement was a promotive factor for better-than-expected outcomes. This indicates that aspects of the school environment may offer both risk and promotive factors for children experiencing sibling victimization at home. We argue that effective sibling victimization interventions should be extended to include a focus on factors at the school level.

Multi-level factors associated with psychological resilience in the face of adverse childhood experiences among Chinese early adolescents

BACKGROUND

Adverse childhood experiences (ACEs) are pervasive and exert enduring negative effects on health throughout one's life. A better understanding of resilience among adolescents with ACEs exposure is crucial to enhance their mental health; however, comprehensive and multifaceted analyses of its associated factors are limited.

OBJECTIVE

This study aimed to investigate multi-level correlates of psychological resilience in Chinese early adolescents exposed to ACEs.

PARTICIPANTS AND SETTING

In a sample of 5724 middle school students, 65.5 % (n = 3749; 49.1 % females; Mage = 13.57, SD = 0.96) reported ACEs during their primary school period and were finally included in this study.

METHOD

Both linear regression and network models were conducted to explore correlates of capacity- and outcome-oriented resilience at the individual (i.e., five personality traits, emotional release, and loneliness), family (i.e., family support and relationships with the mother and father), and school levels (i.e., peer support, teacher support, and relationships with classmates and teachers).

RESULTS

Linear regression analysis revealed that all correlates were associated with capacity- (β ranged from -0.271 to 0.503, PFDR < 0.001 for all) and outcome-oriented resilience (β ranged from -0.516 to 0.229, PFDR < 0.001 for all). Similarly, network analysis revealed that neuroticism, conscientiousness, loneliness, emotional release, extraversion, and the relationship with the mother were directly associated with both capacity- (weights ranged from 0.029 to 0.179) and outcome-oriented resilience (weights ranged from 0.024 to 0.396). However, openness, peer and family support, and relationships with classmates and teachers were directly associated with capacity-oriented resilience (weights ranged from 0.020 to 0.201).

CONCLUSIONS

This study identified the shared and unique associated factors for capacity- and outcome-oriented resilience in the face of ACEs and demonstrated the complex interactions between these factors, which can guide tailored interventions to enhance resilience among Chinese early adolescents with ACEs exposure. Further longitudinal studies may endeavor to confirm our results.

Extensions of the causal framework to Mendelian randomisation and gene-environment interaction

In our commentary we ask whether we should ultimately endeavour to find the deep causes of behaviours? Then we discuss two extensions of the proposed framework: (1) Mendelian randomisation and (2) hypothesis-free gene-environment interaction (leveraging heterogeneity in genetic associations). These complementary methods help move us towards second-generation causal knowledge, ultimately understanding mechanistic pathways and identifying more effective intervention targets.

Causation and prediction in child and adolescent mental health research

There have been recent advances in prediction model research in psychiatry. Several validated prediction models are available to support the diagnosis and prognosis of mental health conditions. Prediction model research is translational in nature and the translation pathway includes well conducted epidemiological studies. These studies provide essential information needed to develop new prediction models. Despite the recent advances in prediction model research in psychiatry, there are still important limitations that hamper translation into health care. Comprehensive and transparent reporting as well as an increased focus on external validation, implementation research and stakeholder involvement may help close the translational gap.