To What Extent Does Greater Diversity of the Diet Prevent Cardiovascular Diseases and Related Mortality? A Systematic Review and Meta-Analysis
Notice bibliographique
Résumé
Dietary diversity is linked to factors associated with the development of cardiovascular diseases (CVDs), such as improved dyslipidemia and insulin resistance. However, the role of dietary diversity in the risk of CVDs has remained controversial. This meta-analysis assessed whether greater diversity across the diet and within food groups can protect against CVDs and related mortality. A systematic search was done using bibliographic databases of PubMed/Medline, Scopus, and Web of Science for longitudinal studies published between 2008–2020 from developed countries. Random-effects models pooled risk ratios (RR) and 95% confidence intervals (CI); the Cochrane Q test and subgroup analysis assessed heterogeneity and its potential sources. Sensitivity analysis checked for robustness of findings and Egger test assessed publication bias. From the 6713 results, 4,950 titles and abstracts were screened for eligibility to provide, respectively, 8 included CVD studies (437,244 participants and 18,820 cases) and 7 included CVD-mortality studies (160,877 participants and 5,631 cases). All studies were assessed as high or moderate quality. There was a small inverse but non-significant association between total dietary diversity and CVDs (RR: 0.93 [95% CI: 0.86, 1.00], I² = 31.7%), which was driven by the effect in non-European populations and the diversity measured by food groups not foods. Moreover, total dietary diversity was inversely but non-significantly associated with mortality from CVDs (RR: 0.83 [95% CI: 0.70, 1.00], I² = 46.1%). This relationship was significant when studies used >3 categories of exposure, FFQ assessment tool, were conducted on non-Europeans, had ≥10,000 participants, and adjusted for energy intake. These subgroup characteristics were sources of heterogeneity. Studies reporting diversity within food groups could only be pooled for the association between vegetables diversity and CVD mortality, which was null. We found no evidence of publication bias or a single study driving the observed associations. Findings indicated greater total dietary diversity may benefit CVDs and related mortality in non-European populations. More research is needed regarding within-group diversity. None.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».