Food and Mood: Diet Quality is Inversely Associated with Depressive Symptoms in Female University Students
Bibliographic record
Abstract
Researchers have found support for an inverse association between diet quality and depressive symptoms in middle-aged adults. This association has not been well examined among university students, a population at risk of developing both depression and unhealthy lifestyle habits. We sought to examine the cross-sectional association between depressive symptoms and diet quality in female university students. One hundred and forty-one females (19.1 ± 1.5 years, 22.3 ± 3.4 kg/m2) were recruited from a Canadian university in 2012 and 2013. Dietary intake data were collected using 3-day food records and analysed using the Canadian Healthy Eating Index. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Results of a linear regression demonstrated an inverse association between depressive symptoms and diet quality score (β = −0.016, 95% CI = −0.029 to −0.003, P = 0.017). Elevated depressive symptoms were associated with consumption of diets of poor nutritional quality in our female university student sample. Thus, healthy eating may correspond with lower levels of depression in young adult females.
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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 | 0.002 |
| 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 | 0.001 | 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".