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Record W2118896370 · doi:10.1542/peds.2009-2527

Impact of Extreme Prematurity on Family Functioning and Maternal Health 20 Years Later

2010· article· en· W2118896370 on OpenAlexafffund
Saroj Saigal, Janet Pinelli, David L. Streiner, Michael Boyle, Barbara Stoskopf

Bibliographic record

VenuePEDIATRICS · 2010
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of TorontoMcMaster University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health Research
KeywordsMedicineLow birth weightAnxietyMoodMarital statusDepression (economics)CohortMental healthBirth weightDemographyPediatricsPsychiatryPregnancyPopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: The goal was to examine the impact of illness on families and the long-term effects on the health of parents of young adults (YAs) who were born with extremely low birth weight (ELBW), compared with normal birth weight (NBW) control subjects. METHODS: A longitudinal cohort study was performed. Participants were mothers of eligible ELBW and NBW YAs. Information was obtained with well-validated questionnaires. RESULTS: At young adulthood, 130 (81%) of 161 ELBW group and 126 (89%) of 141 NBW group mothers participated. There were no significant differences in scores between groups with respect to marital disharmony, family dysfunction, maternal mood, state anxiety, social support, depression, and maternal physical and mental health. The finding of no differences was unchanged when 27 YAs with neurosensory impairment (NSI) were excluded, except for family dysfunction scores, which were paradoxically lower for families with YAs with NSI. Although the impact scores revealed that significantly more parents of ELBW YAs were negatively affected with respect to their jobs and educational or training opportunities, mothers of ELBW YAs reported that the experience of caring for their child brought their family closer together and that relatives and friends were more helpful and understanding, compared with mothers of NBW YAs. Significantly more mothers of ELBW YAs with NSI, compared with those without NSI, felt better about themselves for having managed their child's health. CONCLUSION: It seems that, by young adulthood, there is a minimally negative long-term impact of having an ELBW child in the family, regardless of the presence of NSI.

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)0.000
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 score0.006
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.279
Teacher spread0.259 · 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

Citations48
Published2010
Admission routes2
Has abstractyes

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