Child maltreatment and resilience in adulthood: a protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Although child maltreatment (CM) has been linked to health problems and poor psychosocial functioning, not all individuals exposed to CM develop or experience negative consequences later in life. This suggests that some individuals show resilience after being exposed to CM. However, conclusions have been limited by inconsistent findings across different CM subtypes and resilience domains. Objective: To develop a protocol for conducting a systematic review and meta-analysis to quantify associations between CM (overall and its subtypes) and resilience (global and its multiple domains) in adulthood, and to examine moderators and mediators of these associations. Method: PubMed, PsycINFO, Embase, Scopus, and Web of Science will be searched to identify relevant studies on the association between CM (exposure) and resilience (outcome) in adults (≥ 18 years). Data will be screened and extracted by at least two independent reviewers. The methodological quality of the included studies will be independently assessed with a modified version of the Newcastle–Ottawa Scale (NOS). If deemed viable, a meta-analysis will be conducted using a random effects model. Heterogeneity of evidence will be estimated with the I2 statistic, and publication bias will be assessed. The effects of potential moderators (e.g. timing and severity of CM, age, sex, family cohesion, socio-economic status, country/region) will be analysed using meta-regression and subgroup analyses, and meta-analytical structural equation modelling will be employed to synthesise indirect mediation effects. Candidate moderators and mediators (e.g. genetic factors, brain functioning, attachment style, personality traits, physical activity, and social support) will be also examined qualitatively. Conclusions: This protocol will facilitate a systematic review and meta-analysis that has the potential to enhance our knowledge about the association between CM exposure in early life and resilience in adulthood. Understanding associations and underlying mechanisms between CM and resilience is potentially important in informing prevention and interventions to sustain health and improve outcomes among adults with a history of CM. PROSPERO registration: CRD42023394120. In this study protocol, we propose to quantitatively summarise the existing literature on the relationship between child maltreatment and resilience with regard to mental health consequences and psychosocial functioning later in life.This preregistered systematic review and meta-analysis will establish the procedures to investigate associations between an overall classification of child maltreatment and its different associated subtypes, and a global/trait classification of resilience and its different domains in adults.This protocol will further determine the analytical approach to explore and summarise effect moderators and mediators of the association between child maltreatment and resilience in adulthood.The resulting synthesis, that will be based on this protocol, could enhance our understanding of the strength of the association between child maltreatment and resilience and inform prevention strategies and clinical interventions to improve health and psychosocial functioning in adult survivors. In this study protocol, we propose to quantitatively summarise the existing literature on the relationship between child maltreatment and resilience with regard to mental health consequences and psychosocial functioning later in life. This preregistered systematic review and meta-analysis will establish the procedures to investigate associations between an overall classification of child maltreatment and its different associated subtypes, and a global/trait classification of resilience and its different domains in adults. This protocol will further determine the analytical approach to explore and summarise effect moderators and mediators of the association between child maltreatment and resilience in adulthood. The resulting synthesis, that will be based on this protocol, could enhance our understanding of the strength of the association between child maltreatment and resilience and inform prevention strategies and clinical interventions to improve health and psychosocial functioning in adult survivors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.077 | 0.125 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.021 | 0.031 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.061 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".