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Record W2936330004 · doi:10.1136/bmjopen-2018-024870

What factors are associated with resilient outcomes in children exposed to social adversity? A systematic review

2019· review· en· W2936330004 on OpenAlexafffund
Deirdre Gartland, Elisha Riggs, Sumaiya Muyeen, Rebecca Giallo, Tracie O. Afifi, Harriet L. MacMillan, Helen Herrman, Stephanie Brown

Bibliographic record

VenueBMJ Open · 2019
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsMcMaster UniversityUniversity of Manitoba
FundersCanadian Institutes of Health ResearchChildren’s Hospital of Wisconsin Research InstituteMedical Research CouncilNational Health and Medical Research CouncilState Government of VictoriaMurdoch Children's Research Institute
KeywordsCINAHLMedicinePsychological resilienceMental healthClinical psychologyPovertyIntervention (counseling)Social supportMEDLINEDevelopmental psychologyPsychiatryPsychologyPsychological interventionSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: Children exposed to social adversity-hardship as a result of social circumstances such as poverty or intergenerational trauma-are at increased risk of poor outcomes across the life course. Understanding what promotes resilient outcomes is essential for the development of evidence informed intervention strategies. We conducted a systematic review to identify how child resilience is measured and what factors are associated with resilient outcomes. DESIGN: Systematic search conducted in CINAHL, MEDLINE and PsychInfo from January 2004 to October 2018 using the keywords 'resilien* and child* in the title or abstract. Eligible studies: (1) described children aged 5-12 years; (2) identified exposure to social adversity; (3) identified resilience; and (4) investigated factors associated with resilience. OUTCOME MEASURES: (1) approaches to identifying resilience and (2) factors associated with resilient outcomes. RESULTS: From 1979 studies retrieved, 30 studies met the inclusion criteria. Most studies were moderate to high quality, with low cultural competency. Social adversity exposures included poverty, parent loss, maltreatment and war. Only two studies used a measure of child resilience; neither was psychometrically validated. Remaining studies classified children as resilient if they showed positive outcomes (eg, mental health or academic achievement) despite adversity. A range of child, family, school and community factors were associated with resilient outcomes, with individual factors most commonly investigated. The best available evidence was for cognitive skills, emotion regulation, relationships with caregivers and academic engagement. CONCLUSIONS: While there is huge variation in the type and severity of adversity that children experience, there is some evidence that specific individual, relational and school factors are associated with resilient outcomes across a range of contexts. Such factors provide an important starting point for effective public health interventions to promote resilience and to prevent or ameliorate the immediate and long-term impacts of social adversity on children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.060
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0140.015
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.171
GPT teacher head0.502
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations238
Published2019
Admission routes2
Has abstractyes

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