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Record W2607048624

Prenatal Maternal Stress

2016· article· en· W2607048624 on OpenAlexaboutno aff
Joav Merrick

Bibliographic record

VenueInternational journal of child health and human development · 2016
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPrenatal stressAnxietyPregnancyPopulationMedicineOffspringDistressObstetricsPhysiologyPsychologyPsychiatryClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

IntroductionPrenatal maternal stress (PNMS) or prenatal stress is exposure of the expectant mother to distress, like environmental or stressful life events, which can result in hormone or immune system changes in the mother and result in harm to the fetus and later psychosocial development of the child (1). The theory is that glucocorticoids during stress pass the placenta to the fetus and results in long-term reprogramming and dysregulation of the fetal hypothalamic pituitary adrenal (HPA) axis (1).One study of the Iowa floods in 2008 on pregnant women and their offspring two years later showed that PNMS lead to long-term changes in the functioning of the HPA axis (1). Another study with a sample of 54 early adolescents (13 years old) from the 1998 Quebec ice storm showed that stress exposure in their mothers in their third trimester was later associated with increased eating disorder manifestations (2).A recent review (3) looked at maternal prenatal cortisol concentrations and child outcomes (physical/health, cognitive/motor, psychological/ behavioral, and cortisol). They found in the few studies available that maternal cortisol was related to altered child outcomes, but most of the studies did not find significant associations, which might suggest that maternal cortisol may not to be the sole or even main underlying mechanism in the relation between maternal prenatal stress/anxiety and child outcomes (3).Population based studiesPrenatal stress associated with preterm birth, low birth weight, peripartum anxiety and depressive symptoms has been shown in epidemiologic studies (4). One study during 1990-1995 from 11 states in the United States found that 64% of women surveyed reported experiencing at least one stressful life event (SLE), although the prevalence declined slightly over the study period (4). A more recent study (4) used data for the years 2000-2010 and found that most women in the sample reported experiencing more than one SLE in the year before their infant's birth, although the prevalence of experiencing SLE decreased during 2000-2010 (4). In 2010 with data from 27 states, 70.2% of women reported more than one SLEs. The mean number of SLE was 1.81, ranging from 1.41 in New York City to 2.26 in Oklahoma. The most frequently reported life event was financial and younger, less educated, unmarried and Medicaidcovered women had the highest prevalence of SLE (4).Stress preventionThere are individual and collective stress factors in our lives. Some we are able to prevent and some without our range. A recent review (5) looked at ways to intervene and reduce strees for pregnant women. They found the following intervention studies: group prenatal care, care coordination, health insurance expansion, expanded prenatal education/support in the clinic, home visitation, telephone contact or stressreduction strategies with group prenatal care the most evidence for prevention (5). …

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.005

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 head0.020
GPT teacher head0.325
Teacher spread0.304 · 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 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
Published2016
Admission routes1
Has abstractyes

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