Exploration of the perceived and actual benefits of omega-3 fatty acids and the impact of <i>FADS1</i> and <i>FADS2</i> genetic information on dietary intake and blood levels of EPA and DHA
Bibliographic record
Abstract
From a global health perspective, increased intake of omega-3 fatty acids (FAs), in particular eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are beneficial for human health. However, the consumption of EPA- and DHA-rich foods such as fatty fish is low in the Western diet. Therefore, finding new ways to motivate people to increase their consumption of omega-3 FAs is essential. To find effective ways to motivate individuals, understanding people's awareness of omega-3 FAs and how they obtain their knowledge about nutrition and health is critical. Consequently, we developed an online survey to assess awareness and self-reported intake of omega-3 FAs and supplements in young adults. EPA and DHA are also produced endogenously to a limited extent through a pathway regulated by fatty acid desaturase 1 and 2 (FADS1 and FADS2) genes. Of relevance, single nucleotide polymorphisms (SNPs) in the FADS genes influence levels of omega-3 FAs, where minor allele carriers have lower levels compared with major allele carriers. Accordingly, we conducted a clinical trial to investigate FA levels in response to dietary EPA and DHA supplementation in young adults stratified by SNPs in FADS1 and FADS2. The level of reported awareness of omega-3 terminology varied depending on an individual's field of study and thus providing all participants with the same set of nutrition information could be an effective tool to increase knowledge and motivate behaviour change. Additionally, the variation in FA levels in accordance to SNPs in FADS1 and FADS2 could be used to create tailored nutritional recommendations which may improve lifestyle habits. The results discovered in the first 2 studies regarding awareness of omega-3 FAs and genetic variation were subsequently used to design a nutrigenetics intervention in young adults. Individuals who received their FADS1 genetic information were more aware of different omega-3 FAs and reported fewer barriers to their consumption by the end of the study, compared with those who did not receive their personal genetic information. All participants increased their intake of EPA and DHA, which was reflected in the analyses of red blood cells. Overall, this thesis demonstrates the power of combining nutritional and genetic information as motivators to increase omega-3 consumption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".