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Consumption of Contaminated Lake Fish and Reproduction

2000· letter· en· W2042960903 on OpenAlexaboutno aff
Susan E. Carlson

Bibliographic record

VenueEpidemiology · 2000
Typeletter
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>PregnancyFish consumptionEnvironmental healthConsumption (sociology)ReproductionMedicinePsychologyEcologyFisheryBiology

Abstract

fetched live from OpenAlex

In this issue, Buck et al1 report an association between time-to-pregnancy and the consumption of Lake Ontario fish by women who were attempting to become pregnant. Others have documented levels of lipophilic compounds such as dioxin, mirex, and polychlorinated biphenyls (PCBs) in fish from the Great Lakes, and these are among the toxic agents that might be responsible for the observed association. It can be determined from the plotted data for time-to-pregnancy that about 85% of the most heavily exposed group, ie, those with 7 or more years of consumption of Lake Ontario fish, became pregnant within the 1st year of trying. 1 While one must sympathize with parents who may have trouble conceiving or, ultimately, may not be able to conceive because of exposure to toxins in lake fish, there should also be concern for parents who successfully conceive and deliver infants who have been heavily exposed to these compounds. Jacobson et al have demonstrated that prenatal exposure to PCB can reduce visual recognition memory during infancy 2 and lower full-scale and verbal IQ scores at 11 years of age, especially in the domains of attention and memory. 3 The most heavily exposed children in their study 3 were several times as likely to have low average IQ scores and twice as likely to be 2 or more years behind in reading comprehension. Buck et al1 cite evidence that many sports fishermen claim to be unaware of the advisories against consumption of Lake Ontario fish by women of childbearing age. One wonders how many more are unaware of the evidence that such exposure could cause damage to their developing infants and children through mother’s consumption of lake fish. In addition to exposing the developing fetus during intrauterine life, these lipophilic compounds are also transmitted to the developing infant postnatally through consumption of mothers’ milk. Fortunately, the postnatal transfer of PCBs through human milk has not been associated with deficits in memory and attention during infancy nor at 11 years of age. 2,3 Nevertheless, serum PCB levels at 4 years of age, attributable to duration of breast feeding, were associated with reduced activity. 4 Clearly, milk from women who consume contaminated fish will expose the next generation to the effects of these environmental toxins, most of which are probably not known. As Buck and colleagues 1 note, there have been advisories against the consumption of Lake Ontario fish by women of reproductive age issued by New York State since 1976. Worldwide, human milk samples have shown a continual decline in polyhalogenated, aromatic hydrocarbons during the past decade. 5 Based on this evidence, the WHO working group concluded provisionally that current evidence did not warrant altering previous recommendations for promotion and support of breast feeding. 5 The Committee on Nutritional Status During Pregnancy and Lactation of the Food and Nutrition Board in the U.S. suggests that DDT, PCB, and mercury levels should be measured in mother’s milk and blood and that decisions to breast feed should be made on an individual basis. 6 Lake fish and human milk are excellent sources of dietary DHA, 7,8 an essential fatty acid in fetal and neonatal neurodevelopment. 9 Preterm infants fed experimental formulas with DHA have higher visual function 10–12 and appear to have more mature attentional development. 13,14 The latter evidence was obtained during administration of the same test used by the Jacobson et al2 to demonstrate poorer visual recognition memory in infants after intrauterine exposure to PCB. Diets that reduce brain DHA accumulation affect monoaminergic neurotransmission 15 and behavior. 16 Ironically, both sources of DHA are now thought to be undesirable for human consumption in some circumstances. In the long run, science may be able to offer some solutions to the problem of environmental contamination of the aquatic food chain and determine ways to reduce body burden of these compounds in women who have previously been exposed. In the meantime, however, additional efforts to increase public awareness of the problems associated with eating contaminated fish appear to be long overdue.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.251
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.036
GPT teacher head0.281
Teacher spread0.245 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2000
Admission routes1
Has abstractyes

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