Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".