Micronutrients in Long-Term Care (LTC): Issues and opportunities for improvement
Notice bibliographique
Résumé
BACKGROUND: Malnutrition is common among long-term care (LTC) residents, yet there is limited research on micronutrient (vitamin and mineral) malnutrition in the LTC setting. Micronutrient deficiencies may exacerbate symptoms of dementia, depression, infections, osteoporosis, and other prevalent conditions in LTC. \n \nPURPOSE: This research accomplishes phase 1 of a multi-phase study, with the overall research objective of investigating the potential and extent of micronutrient malnutrition in LTC and identifying and developing food-first strategies to improve micronutrient intake in LTC residents. This was done through four sub-studies (detailed below): \n \nMETHODS & FINDINGS: Each method and respective findings/conclusions are described below. \n \nSub-Studies 1 and 2: Scoping Review Observational (SRO) and Intervention (SRI)--Methods: A rigorous scoping review was conducted using selected key terms in four health-related electronic databases. The initial search identified 2248 eligible titles and abstracts for screening with inclusion/exclusion criteria. Results: SRO (n=50 citations): Intake for vitamin D, folate, calcium, vitamin E and B6 were consistently <50% of the Recommended Dietary Allowance (RDA) regardless of divergent food intake assessment methods. More than one study found biomarkers to be low for vitamin D, C, folate, and iron in LTC residents. SRI (n=25 citations): Vitamin D and calcium were the most common micronutrients to be included in both pill supplementation and food fortification interventions. Different formulations (e.g. single vs. multi-nutrient) were trialed, making comparisons difficult. Supplementation and fortification demonstrated efficacy but no studies comparing these strategies were identified. Conclusion: Findings suggest that micronutrient intake and biochemical status are suboptimal for key nutrients in LTC. Single nutrient interventions predominated and more work on efficacy of multi-nutrient physiological doses, whether in supplemental or fortification formulations is needed. Limited fortification studies have been completed and there is a need to determine efficacy for prevention as compared to supplementation. More research on fortification doses and formulations that are acceptable and efficacious is also required. \n \nMenu Analysis (MA) and Super-Menus (SM)-- Methods: Regular, non-therapeutic menus (week 1, all meals) from diverse LTC homes (n=5) across Canada were analyzed for micronutrient content using Food Processor with the Canadian Nutrient File. EaTracker was used to determine Canada’s Food Guide servings. Site dietitians provided home recipes/portion sizes, and validated menu analyses. SM were designed to meet micronutrient needs without increasing volume and calories, considering the preferences and portion sizes used in LTC. Results: Despite planning to and generally meeting CFG recommendations, menus’ nutrient content varied significantly across homes. \n \nMicronutrients of greatest concern across all menus were vitamins D (8.90 ± 5.29 µg/d) and E (5.13 ± 1.74 mg/d). Folate, magnesium, and potassium were also below recommended values. SM were significantly higher in several nutrients as compared to home menus, but still were unable to meet vitamin D (11.2 ± 2.54 µg, mean 56% RDA), E (12.6 ± 4.08, 84% RDA) and potassium (4018 ± 489 mg, 85%) recommendations. Conclusion: Evidently, current guidelines for menu planning may be inadequate to address micronutrient needs, and more nutrient-dense strategies need to be explored in LTC. Careful menu planning results in most micronutrients recommendations being met. \n \nAcceptability Testing (AT)-- Prior to implementation, potential interventions should be assessed for their need, feasibility, and acceptability with knowledge users. Methods: Online LTC Staff webinar focus groups, expert Key Informant interviews and in-person focus groups (residents and family) were conducted to develop and determine the acceptability of a micronutrient fortification strategy. Polling and rating questions provided quantitative data to confirm qualitative data. Results: Focus groups and key informant interviews provided insight into potential food vehicles for fortification (e.g. soups, desserts, condiments), production and regulatory issues, and helped to develop the strategy to minimize anticipated barriers and promote uptake. Development of outsourced/pre-made fortified products was the preferred intervention, with mandatory training and clear protocols for preparers to ensure appropriate use. Conclusion: Knowledge users can envision food fortification as a potential intervention if products are easy to access and incorporate into current production systems. All stakeholders desire efficacy research to support use of this strategy in LTC. \n \nOVERALL CONCLUSION: Triangulation of methods (SRI, SRO, MA/SM, and AT) and findings offers a multidimensional understanding of potential micronutrient deficiencies in LTC and food-first strategies that can be used to prevent this form of malnutrition. In general, food-first interventions in LTC to prevent or ameliorate micronutrient deficiency are lacking and quality menu planning using the DRI as a guide and food fortification are plausible strategies. Further work is needed to determine the relationship between micronutrient intake and biomarkers of function; does sufficient micronutrient nutrition support the overall health and quality of life of residents. Greater knowledge and awareness of micronutrient qualities of foods and of best practices in food-preparation methods through better training and education of LTC health providers is needed. As a food fortification strategy is further developed, involvement of multi-level stakeholders is needed to ensure uptake. This work provides foundation for a micronutrient food fortification strategy to address malnutrition in LTC.
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 | 0,047 | 0,084 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,009 | 0,011 |
| Science ouverte | 0,004 | 0,006 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 ».