Micronutrients in Long-Term Care (LTC): Issues and opportunities for improvement
Bibliographic record
Abstract
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.
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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 | 0.047 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".