Significant Positive Correlation Between Sunshine and Lactase Nonpersistence in Europe May Implicate Both in Similarly Altering Risks for Some Diseases
Bibliographic record
Abstract
Decreasing latitude and increasing frequency of population lactase nonpersistence have been reported to diminish risks for several diseases, but the reason for overlap has not been explained. We evaluate, relationships between calculated national annual ultraviolet light B (UVB) exposure, latitude, and national lactose digestion frequencies. Annual UVB exposure and latitude were based on weighted averages from several cities in different countries. Lactase distribution status was based on published data that have been used previously to derive relations with diseases. We compare univariate regression analyses (r(2)(adj), slope) of percentage of lactase nonpersistence with UVB or latitude. We determine, differences between European and non-European sources by multiregression analysis of independent variables. Correlation between UVB and latitude is high (r(2) = 0.89), and between percentage of lactase nonpersistence and either latitude or UVB the correlation is moderately strong with r(2) = 0.51 and 0.46, respectively, with P ≤ 0.01 for both. A more detailed analysis shows that correlations between percentage of lactase nonpersistence and UVB are only significant in Europe, r(2) = 0.59, P < 0.001, whereas outside Europe: r(2) = 0.06, P = 0.16. These relationships raise hypothetical explanations to account for the observed overlap in similar risk modification by the 2 variables.
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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 | 0.000 |
| 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 | 0.000 |
| 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".