Food Preferences in a Greenlandic Population
Bibliographic record
Abstract
The overall aim was to describe food reward in an Inuit population in Greenland. More specifically, the objective was to first test the differences in food reward for sweet relative to savory food (taste bias) after four weeks on a traditionally Inuit diet (TID) vs a Westernized diet (WD). If no differences in taste bias were found between diet groups, we aimed to describe food reward in a pooled sample (median [IQR]). We hypothesized that participants would have higher preferences for sweet compared to savory foods. After a dietary intervention in Greenland (20% of foods provided), we measured behavioral components of food reward using the Leeds Food Preference Questionnaire. The reward components, explicit liking and implicit wanting, were measured in response to images of Western foods varying in fat content and taste after four weeks on either TID or WD. A positive bias score reflected preference for sweet over savory, and oppositely a negative bias score reflected preference for savory over sweet foods. Participant characteristics were similar in the two diet groups (age (mean (SD): TID = 58.1 (11.5) vs. WD = 55.4 (9.5) years); sex: TID = 50% vs. WD = 54% women; body mass index (mean (SD): TID = 26.6 (5.5) vs. WD = 27.9 (4.7) kg/m2). In these preliminary, unadjusted analyses, we found no differences in explicit liking (P = 0.77) or implicit wanting (P = 0.70) bias score for sweet over savory foods after four weeks following either TID (n = 26) or WID (n = 24). Altogether, participants in the two diet groups had a greater explicit liking (−11.5 [−19.9; −2.8]) and implicit wanting (−21.6 [−44.2; −5.2]) for savory compared to sweet foods. This is the first study to examine explicit and implicit aspects of food reward in an Inuit population. Contrary to our hypothesis, this population did not prefer sweet over savory Western foods. The study was supported by unrestricted grants from The Novo Nordisk Foundation. Royal Greenland and the supermarket chains Kalaallit Nunaanni Brugseni & Pilersuisoq supported the study with foods and food logistics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".