Longitudinal trajectories of dietary quality and cognitive functions in Chinese older adults: The Taiwan Initiative for Geriatric Epidemiological Research (TIGER) cohort study
Notice bibliographique
Résumé
Abstract Background Dietary factors influence cognitive functions, but most previous studies were conducted in Western settings and assessed diet only once. Trajectory analysis of diet measured at multiple timepoints can track changes in diet and identify subpopulations requiring more intervention efforts. We thus assessed associations between dietary trajectories and cognitive functions in an understudied Asian elderly population. Method The TIGER study involves non‐demented community‐dwelling participants aged ≥65 years recruited between 2011‐2013. Dietary intakes were assessed using a food frequency questionnaire during baseline and 4th‐ and 6th‐year follow‐ups. Modified Alternative Healthy Eating Index (mAHEI) scores (energy‐adjusted using the residual method) were generated at each timepoint to reflect diet quality. Longitudinal trajectories of dietary quality were derived using latent growth mixture modelling. The Montreal Cognitive Assessment—Taiwanese version was used to assess global cognition for outcomes. Cognitive functions (baseline‐normalized z‐scores) of four cognitive domains, i.e., memory, attention, executive function, and verbal fluency, were also assessed. Associations between trajectories of dietary quality and cognitive functions were assessed using linear regressions, adjusting for important covariates including sex, apolipoprotein (APOE) e4 status, baseline age, body mass index (BMI), and depressive symptoms. Result Included participants (n = 356) were 54.2% female, had a mean age of 71.6 years, and a mean BMI of 23.8 kg/m2 at baseline. The overall mean mAHEI scores were close to 37 (out of 70 possible) at all three time points. Three trajectories of dietary quality, namely 1) ‘increasing’, 2) ‘decreasing’, and 3) ‘stable‐high’ were identified and deemed optimal considering fit indices and interpretability. Compared with ‘stable‐high’ dietary quality trajectory, the ‘increasing’ trajectory was associated with worse memory performance (adjusted‐β = ‐0.424; 95% CI: ‐0.679, ‐0.169; P = 0.001) whereas the ‘decreasing’ trajectory was associated with worse performance for the verbal fluency domain (adjusted‐β = ‐0.342; 95% CI: ‐0.653, ‐0.030; P = 0.031). No other significant associations were observed. Conclusion Maintaining a stable‐high dietary quality trajectory over time is associated with better cognitive functions among Taiwanese older adults. Since there is much room for dietary improvement in this Taiwanese population, interventions to promote and sustain better dietary quality over time can have substantial impacts on their cognitive functions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».