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Record W4405397104 · doi:10.1177/15248380241302410

Association Between Parental Adverse Childhood Experiences and Offspring’s Risk of Suboptimal Health: A Systematic Review and Meta-Analysis

2024· review· en· W4405397104 on OpenAlexaboutno aff
Mengna Wei, Weixi Deng, Miyuan Wang, Chunan Li, Yanfen Jiang, Yimin Wang, Jianduan Zhang

Bibliographic record

VenueTrauma Violence & Abuse · 2024
Typereview
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsOffspringMeta-analysisOccupational safety and healthHuman factors and ergonomicsInjury preventionPoison controlSuicide preventionMedicineEnvironmental healthAdverse Childhood ExperiencesPsychologyPsychiatryPregnancyGeneticsBiologyInternal medicineMental health

Abstract

fetched live from OpenAlex

Previous reviews and meta-analysis have not adequately explored the impact of specific parental adverse childhood experiences (ACEs) subtypes on offspring's health. This updated systematic review and meta-analysis aimed to investigate the association between parental ACE subtypes and various offspring health outcomes. A comprehensive search was conducted in electronic databases including PubMed, Web of Science, the Cochrane Library, WANFANG, and China National Knowledge Infrastructure for studies published in English and Chinese from January 1, 1998, until July 18, 2023. Two independent reviewers screened studies, extracted data, and assessed study quality using the Newcastle-Ottawa Scale. A random-effects model was applied to generate pooled odds ratios (ORs) and 95% confidence interval (95% CI). A total of 47 eligible studies were included in the final analysis. Overall, parental ACEs were significantly associated with several offspring's health outcomes, including preterm birth (PTB), low birth weight (LBW), total developmental delay, social-emotional problems, and behavioral problems (total, externalizing and internalizing behaviors), with ORs ranging from 1.06 to 3.02. Specific subtypes of parental ACEs, such as household dysfunction, sexual abuse, and physical abuse (but not emotional abuse) were significantly associated with PTB. Household dysfunction was notably linked to delayed cognition ability in offspring. Parental sexual abuse, physical abuse, emotional abuse, and emotional neglect were significantly correlated with social-emotion problems, with the expception of household dysfunction. Regarding total behavioral problems, parental household dysfunction, physical abuse, emotional abuse, physical neglect, and peer bullying were all significantly associated with children's behavioral issues, except for emotional neglect. There is a positive correlation between parental household dysfunction, sexual abuse, physical abuse, emotional abuse, emotional neglect, physical neglect, peer bullying, and neighborhood-related adversity and their children's externalizing behavior problems. These findings underscore the significant impacts of parental ACEs on multiple adverse health outcomes in children, with specific parental ACEs subtypes exerting unique effects. This highlight the significance of comprehending the intergenerational effects of different ACE subtypes, and emphasizes the urgency of interventions to address these issues.

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)0.017
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.040
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.036
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.100
GPT teacher head0.427
Teacher spread0.327 · 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 designMeta-analysis
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

Citations2
Published2024
Admission routes1
Has abstractyes

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