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Record W4404618707 · doi:10.1186/s40359-024-02184-9

A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis

2024· review· en· W4404618707 on OpenAlex
Tania Dehesh, Mohammad Amin Mosleh‐Shirazi, Samira Jafari, Elham Abolhadi, Paria Dehesh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBMC Psychology · 2024
Typereview
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutismMeta-analysisPsychologyOffspringOdds ratioObservational studyAssociation (psychology)Clinical psychologyMedicineDevelopmental psychologyPregnancyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: There has been conflicting evidence in earlier research on the association between parental age and autism risk. To clarify this association, we conducted a comprehensive meta-analysis of observational studies. The primary objective of this study was to determine the association between parents' age and the risk of autism in the offspring. METHODS: PubMed, EMBASE and Web of Science were searched for reports published up to November 2023. Results from relevant studies were pooled using random effects models. Subgroup analyses and meta-regression were performed to examine heterogeneity between the studies. Studies were included in this meta-analysis that focused on children with autism and examined the relationship between parents' age (mother or father) and the risk of autism.The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). RESULTS: This meta-analysis included 41 articles. The low age of mother (OR = 0.96, (95% CIs: 0.88-1.05) and father (OR = 1.11, (95% CIs: 0.98-1.24) was not significantly associated with lower risk of autism in children. Conversely, greater paternal and maternal ages were associated with an increased risk of autism in their children. The adjusted odds ratios for mothers' and fathers' ages were 1.47 (95% CIs: 1.33-1.62) and 1.51 (95% CIs: 1.40-1.62), respectively. CONCLUSION: Increased risk of autism in children is significantly associated with greater parents' ages. Further research is needed to gain further insight into the mechanisms responsible for the effects of parents' ages on the risk of autism in children. The findings of previous studies on the association between parents' ages and their children's autism risk have been mixed. Therefore, by carefully examining a number of previous investigations, in this study we aimed to determine the exact relationship between parental age and autism risk. According to the study's findings, parents who are older have a higher chance of their child getting autism. In other words, children of older parents are more likely to develop autism. The exact causes of this relationship, however, are still unclear. This study shows that higher age of parents can be one of the risk factors for autism in their childs.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.139
GPT teacher head0.454
Teacher spread0.315 · 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