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Record W229413775

Dispelling Myths and Developing a Framework for Reducing the Risk of Alcohol-Exposed Pregnancies

2010· article· en· W229413775 on OpenAlexaboutno aff
Suzanne Tough

Bibliographic record

VenueForum on public policy · 2010
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePregnancyEnvironmental healthSubstance abusePsychiatryPublic healthPsychology
DOInot available

Abstract

fetched live from OpenAlex

Introduction For many years, society has explored the consequences of substance abuse and remedies for this substantial health and societal problem. One of the potential consequences of substance abuse is fetal alcohol spectrum disorders (FASD). With an incidence estimated at 9.1 per 1000 live births, FASD represents the most common cause of preventable mental retardation and birth defects in North America (Barr and Streissguth 2001; Health Canada 1996; Sampson et al. 1997; Smitherman 1994). In Canada alone, the annual cost for additional resources for individuals with FASD who are under 21 years of age is estimated at approximately $344 million (Stade et al. 2006). Thus, FASD represents an important issue in North America, warranting attention and action to improve the probability that infants will be born at optimal health. FASD is a consequence of exposure to alcohol in the prenatal period. Women who consume alcohol during pregnancy, particularly those with substance abuse issues, increase the probability that they will deliver an infant with FASD. However, substance abuse is often an outcome of the interaction between preceding events, life circumstances and individual factors. If antecedent events and risk factors could be identified in childhood, adolescence, or during the childbearing years, opportunity exists to reduce the risk of substance use, substance dependence, and alcohol-exposed pregnancies. Based mainly on research around these risk factors, this paper will describe a framework for reducing the risk of alcohol-exposed pregnancies with some consideration of the broader issue of reducing the risk of alcohol dependence in general. By way of background, a brief overview of FASD will be provided before strategies to reduce the risk of alcohol-exposed pregnancies and the risk of alcohol dependence will be discussed. Fetal Alcohol Spectrum Disorder (FASD) Prenatal exposure to alcohol can result in abnormalities in facial features, deficiencies in growth and dysfunction in the central nervous system (including irreversible brain damage) leading to physical, mental, behavioural, and/or learning disabilities and individuals who require extensive support and services in the areas of health, social services, education and training, justice, addictions, and family counselling (Koren et al. 2003). Some of the primary disabilities associated with FASD involve neuropsychological impairments including deficits in executive functioning, memory, attention, visual-spatial abilities, cognitive flexibility, as well as language and motor delays (Mattson and Riley 1998; Olson et al. 1998; Rasmussen 2005). These children are at risk of lower IQ, poor academic achievement and learning problems as a consequence of structural and functional brain damage (Streissguth et al. 1994; Streissguth 1997). Due to the cognitive and social impairments of FASD, secondary disabilities are also likely to arise. Secondary disabilities include mental health problems, incarceration and retention in the justice system, confinement, inappropriate sexual behaviors, alcohol and drug abuse, and school incompletion, all of which may also reduce the likelihood of meaningful employment (Streissguth 1997; Streissguth et al. 2004). No level of alcohol consumption during pregnancy has yet been determined as safe (Fried and Watkinson 1988; Fried and Watkinson 1990; Gusella and Fried 1984; Jacobson and Jacobson 1999; Streissguth, Barr, and Sampson 1990). Current evidence suggests that heavy drinking creates the greatest risk for FASD, however, the effects of alcohol on fetal development likely depend on the interaction between a number of factors, including timing, frequency and amount of exposure to alcohol, nutritional and health status of the mother, biologic constitution of the mother and fetus, and fetal vulnerability to alcohol (Hicks 2007; Maier and West 2001). Given that no safe level of alcohol consumption during pregnancy has been determined, the current recommendation in North America is that women abstain from alcohol if they are pregnant or attempting to conceive (Alberta Medical Association 2007; American Academy of Pediatrics--Committee on Substance Abuse and Committee on Children With Disabilities 2000; Astley et al. …

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)0.031
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0070.034
Scholarly communication0.0100.008
Open science0.0060.010
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.300
Teacher spread0.277 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2010
Admission routes1
Has abstractyes

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