Tooth Loss and Nutritional Status in Older Adults: A Systematic Review and Meta-analysis
Notice bibliographique
Résumé
Background/Objective:Older adults are at risk for tooth loss and compromised nutritional status. Our objective was to conduct a systematic review and meta-analysis to answer the following question: Among adults aged ≥60 y living in developed countries, what are the associations between tooth loss and nutritional status as assessed by a validated nutrition screening or assessment tool?Methods:PRISMA guidelines were followed. PubMed, Scopus, CINAHL, Web of Science, and MEDLINE were searched for studies published in English between 2009 and 2019 that met inclusion criteria. Data extracted included study and participant characteristics, dentition, and nutritional status. Risk of bias was assessed with a modified Newcastle-Ottawa Scale. Random effects meta-analysis was used.Results:Of the 588 unduplicated articles identified, 78 were reviewed in full text, and 7 met inclusion criteria. Six studies were combined for a meta-analysis, which revealed that individuals who were completely edentulous or who lacked functional dentition had a 21% increased likelihood of being at risk of malnutrition or being malnourished, as compared with those who were dentulous or had functionally adequate dentition (risk ratio, 1.21; 95% CI, 1.11 to 1.32; I<sup>2</sup> = 70%). Whether the article statistically adjusted for medical history explained most of the heterogeneity in the pooled effect.Conclusions and Implications:Findings suggest that older adults with tooth loss are at greater risk of malnutrition than those with functionally adequate dentition. Use of validated tools to assess risk of malnutrition in older adults with tooth loss is important to promote early intervention and referral to optimize nutrition and oral health status. Findings were limited by heterogeneity, risk of bias, and overall quality of the studies reviewed. Cohort studies that adjust for known confounders and use consistent approaches to assess tooth loss and nutritional status are needed.Knowledge Transfer Statement:The results of this study suggest that older adults with tooth loss are at greater risk of malnutrition than those with functionally adequate dentition. Screening of this population for malnutrition by health care professionals, including dentists and dietitians, may result in corresponding referrals to optimize nutrition and oral health status. Further research is needed with consistent approaches to assess tooth loss and nutritional status.
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 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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 ».