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Record W4403311967 · doi:10.1016/j.ssmph.2024.101717

Origins and developmental paths of medical conditions from mid-childhood to mid-adolescence in Australia: Early-life adverse conditions and their lasting effects

2024· article· en· W4403311967 on OpenAlexaff
Lan Nguyen, Luke B. Connelly, Stephen Birch, Ha Nguyen

Bibliographic record

VenueSSM - Population Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsMcMaster University
FundersAustralian Research CouncilDepartment of Families, Housing, Community Services and Indigenous Affairs
KeywordsAdverse Childhood ExperiencesDevelopmental psychologyEarly childhoodPsychologyPsychiatryMental health

Abstract

fetched live from OpenAlex

This study investigates various common medical conditions affecting Australian children aged 4 to 14 years and the impact of prenatal and early-life conditions on these health conditions using a large national data set (n=4,122) with 15 years of follow-up. Consistent with the developmental origins of health and diseases hypothesis and the life-course models of health, the in-utero environment and parental financial hardship during pregnancy and shortly after birth play a significant role and have a lasting impact on the medical conditions of children. These significant effects are not reduced by controlling for child, family, and neighbourhood characteristics. The impact of improvements in family income when the child is aged 4 to 14 years does not compensate for the impact of health disadvantages in the prenatal and postnatal period. • The developmental trajectories of ongoing medical conditions in Australian children from mid-childhood to mid-adolescence and the role of prenatal and early-life conditions on these health problems are analysed. This study is based on 15 years of follow-up and utilizes rigorous statistical modelling with a representative population sample. • Evidence of the timing of family financial stress in shaping child health and well-being: Early childhood poverty is particularly harmful to children’s health development and subsequent family income cannot mitigate health adversity in the early foundation years.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.404
Teacher spread0.360 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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