Nutritional predictors of depression in a cohort of community-dwelling elderly Canadians: NuAge cohort
Bibliographic record
Abstract
Depression is associated with decreased quality of life and high mortality risk at all ages. Diet is hypothesized to be a factor associated with depression. Despite some longitudinal evidence from studies with middle-aged adults, it is still largely unknown how depression affects nutrient intake in the elderly population. The three objectives of this thesis were to explore the longitudinal associations of (i) dietary patterns and macronutrient intake and of (ii) B6, B12, and folate intakes with the incidence of depression in late life; and (iii) to investigate whether depression significantly affects short-term nutrient intakes (reverse causality effect) in comparison with intakes among nondepressed seniors. The Quebec Longitudinal Study on Nutrition and Aging (NuAge) collected social, health, and biological data of 1793 community-dwelling men and women aged 68 to 82 years at recruitment for 4 years. Incidence of depression was defined by scores in the 30-item Geriatric Depression Scale ≥11 or antidepressant medication use over the 3 years of follow-up, and those deemed “depressed” at baseline were excluded. Dietary patterns were created through principal component analysis (PCA) on amount (grams) of food items consumed in each of the 32 predefined food categories. Tertiles of B-vitamin intake were created from the mean of three nonconsecutive 24-h recalls. Multiple logistic regression models were adjusted for several demographic, health, and social confounders. For the study of the reverse causality hypothesis, we conducted a nested case-control study. Participants free of depression at baseline who developed depression at some point of follow-up were matched by age group and sex with nondepressed participants. The intakes of energy, protein, saturated fat, dietary fibre, B6, B12, and folate at the time point of depression were compared with intakes the year prior between depressed and nondepressed groups using mixed-model repeated measures ANCOVA. Incidence of depression was 12.5% (n = 170, 63% women). PCA revealed three dietary patterns: varied diet, traditional diet, and convenience diet. Only varied diet was protective of depression incidence before adjustment for confounders. None of the three patterns were associated with the outcome in fully adjusted models. Tertiles of total energy intake were, however, inversely and independently associated with depression incidence. Men in the highest tertile of B12 intake from food had lower risk of depression compared with those in the lowest tertile. Higher B6 intake from food was protective among women, but the effect was dependent on total energy intake. Neither intakes from food + supplements (total) nor folate intake showed detectable benefits. The study of depression leading to changes in intake showed no evidence of reverse causality effect in the short term, as seniors deemed depressed at some time point of follow-up did not decrease their intakes significantly over time compared with nondepressed seniors, except for small declines in B12. These findings suggest that differences in quantity of food (energy intake) are more strongly associated with the likelihood of developing depression in the following years among generally healthy seniors living in the community than small differences in quality (dietary patterns). Nutrients may, in fact, predict depression better than food items, particularly nonenergy-adjusted B6 in women and energy-adjusted B12 in men, whose lower intakes were associated with increased risk for depression. These vitamins could be a proxy for other behavioural or biological risk factors, or they could have direct, but different, roles in the mental health of men and women. An examination of how newly depressed seniors fared on dietary change indicated that they were resilient to change despite their depression.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".