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MATERNAL DIET AND OFFSPRING DEVELOPMENT

2011· letter· en· W1720007486 on OpenAlexaff
Caroline Davis

Bibliographic record

VenueAddiction · 2011
Typeletter
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsYork University
Fundersnot available
KeywordsOffspringObesityPregnancyAddictionMedicineIntervention (counseling)Environmental healthInsulin resistancePublic healthPsychiatryPsychologyEndocrinologyBiology

Abstract

fetched live from OpenAlex

The paper by Gearhardt and colleagues 1 makes a valuable contribution to the debate about hyperpalatable foods, their abuse potential and how they impact the increasing prevalence of obesity. Importantly, they discuss how strategies that have successfully lessened the public health consequences of drug addiction may be applied to the toxic food environment. They also address relevant differences — for example, that drug exposure generally occurs in our teen years, while consumption of foods unnaturally high in fat, sugar and salt begins earlier in life, and typically has a chronic course. Consequently, they argue for intervention policies aimed largely at children and adolescents. In this author's view, however, that may be too late. There is now compelling evidence that in utero events can have long-lasting, and sometimes dire, consequences for the offspring 2-4. We have learned recently how maternal diet can modify the fetal genome substantially and contribute to deleterious health outcomes for the developing child. For instance, high-fat consumption during pregnancy has been shown to induce long-term alterations in dopamine and opioid gene expression in animal offspring, and to enhance their preference for palatable foods 5. In addition, there is evidence that children of obese mothers are at increased risk for insulin resistance and subsequent obesity and metabolic dysfunction 6. Using data collected from three affluent Scandinavian societies, a prospective study also showed, for the first time, that maternal obesity increased the risk of having a child with symptoms of attention deficit hyperactivity disorder (ADHD) compared to children of normal-weight mothers 7. Moreover, these findings persisted after controlling for baby's birth weight, maternal age and mother's smoking status. To test whether this relationship occurred because a genetic predisposition accounted for both the mother's weight status and the subsequent ADHD symptoms in the child, a large replication study extended this research. Again, it was found that children of obese mothers had a twofold increase on teacher-rated inattention scores compared to those of normal-weight mothers 8. These associations also remained statistically significant after controlling for ADHD symptoms in both parents. Of relevance to these findings are the strongly established links between prenatal alcohol exposure and symptoms of ADHD 9 and the high co-occurrence of ADHD symptoms and obesity, both in children and in adults 10. It is noteworthy in this context that alcohol and sugar are biochemically congruent substances, because ethanol is simply the fermented by-product of fructose 11. In our current food environment, with its superfluity of highly palatable foods, mothers who are overweight and obese are likely to consume larger and more frequent quantities of sweet foods than their normal-weight counterparts. Currently, high fructose sweeteners are used liberally in most of the processed foods we eat, and in much greater amounts than are found naturally in fruits and vegetables 12. When taken in large quantities, both alcohol and fructose have considerable abuse potential due to their potent activation of brain reward pathways 13, 14. They can also foster neuroadaptations that lead to compulsive use and dependence similar to other drugs of abuse 15, 16. It is therefore plausible that highly processed foods taken in abundance during pregnancy could contribute to deleterious outcomes for the unborn child such as those seen in the studies described above. In other words, excessive maternal ingestion of sweet foods could produce what I will loosely call a ‘fetal sugar spectrum disorder’, with symptoms that are not dissimilar to those seen in the offspring of women who drank alcohol during their pregnancy. Because postnatal life appears to be linked inextricably with environmental influences during fetal development, and because approximately 20% of women of reproductive age are obese, it seems of utmost importance to target pregnant women for prevention measures in a manner similar to the aggressive warnings about gestational alcohol use. It will behove health-care providers to issue strong nutritional guidance to women during pregnancy to avoid events that may have irreversible consequences for their children later in life. None.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.236
Teacher spread0.216 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations6
Published2011
Admission routes1
Has abstractyes

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