Autism Associated with B-Vitamin Deficiency Linked to Sugar Intake and Alcohol Consumption
Bibliographic record
Abstract
Objectives: Autism rates in the United States are increasing at a rate of 10-15% per year. This study uses nutritional epidemiology and relates autism rates to the total B-vitamin intakes. The total amounts of B-vitamins are then compared to the previously established minimal daily requirements to see if the intakes are adequate. The apparent lower B-vitamins may result from the increased consumption of sugar and alcohol which are devoid of vitamins, minerals, protein, fat and antioxidants. Study Design: The autism rate was then compared to the percent exclusive per cent breast feeding from 2000-2004 as well as 2007-2010. Other comparisons were made between the statewide exclusive breast feeding and the binge drinking per state. The percentage of infants who participated in Washington state WIC (Womens Infant & Childrens) program were also compared to the autism rate in each county. The autism rate among 8 year olds when compared to the % increase of sugar consumption from 2002 to 2010 also showed an increase in the autism rate. Results: The total amounts of B vitamins in breast milk seemed to be inadequate compared to published mdrs. There was also a direct relationship to the autism rate with the women who were breast feeding from 2000-2004 and 2007-2010. Increased autism rates were related to increased sugar consumption and to an increased alcohol intake. Conclusions: The mothers who are exclusively breast feeding should continue their prenatal vitamins. Sugar intake and alcohol consumption should be decreased. The results suggest that autism is nutritionally related.
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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 | 0.002 |
| 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 | 0.000 |
| 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".