Validity of Nutritional Screening Tools for Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis

Bosnić, M; Yeung, Suey S.Y.; Trappenburg, Marijke C.; Meskers, Carel G.M.; Whittaker, Anna C.; Maier, Andrea B.

doi:10.1016/j.jamda.2019.06.024

Cited by 50 publications

(41 citation statements)

References 59 publications

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“…The MNA-SF used in the present study has been shown to have a specificity of 100%, sensitivity of 97.9%, and diagnostic accuracy of 98.7% in undernutrition prediction as compared to the MNA-long version [ 32 ]. Further validation of the MNA-SF against the MNA-SF in a recent systematic review and meta-analysis found that the MNA-SF (cut-off point ≤11) had a sensitivity of 0.95 (0.75–0.99) and specificity of 0.95 (0.85–0.99) in detecting community-dwelling older adults at risk of malnutrition [ 59 ]. Additionally, a study of 155 older adults with a mean age of 78 years exploring the relationship between the MNA-SF and other comprehensive nutritional assessment measures, found that the MNA-SF had a stronger correlation with anthropometric and biological markers ( p < 0.01) [ 60 ].…”

Section: Discussionmentioning

confidence: 99%

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

2020

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Background: There are limited longitudinal data regarding nutrient intake, nutritional status and physical function in community-dwelling ethnically diverse older adults. This study explored these variables and their relationship at baseline (n = 100) and 8-months' follow-up (n = 81) among community-dwelling ethnically diverse older adults (≥60 years) in Birmingham, United Kingdom. Methods: Multiple-pass 24-h dietary recalls and the Mini Nutritional Assessment-Short Form assessed nutritional intake and status, respectively. Short Physical Performance Battery (SPPB) and handgrip strength measured physical function. Linear and multinomial regressions were used to predict relationships between physical function, nutritional status and nutrient intake. Results: Complete data were collected at baseline (n = 100) and 8-months' follow-up (n = 81). Mean (SD) age was 70 (8.1) years (60% male), with 62% being obese. Statistically significant decreases in intakes of vitamin B6, vitamin B1, iron, folate, and magnesium occurred over time. Daily intake of all micronutrients except vitamin B12, phosphorus and manganese were below the Recommended Nutrient Intakes (RNI). SPPB (Z =-4.01, p < 0.001) and nutritional status (Z =-2.37, p = 0.018) declined over time. Higher SPPB scores at baseline (OR = 0.54 95% CI 0.35, 0.81) were associated with a slower decline in nutritional status. Conclusion: The observed declines and inadequate nutrient intakes in the absence of weight loss in just 8 months may pose serious challenges to healthy ageing, identifying an urgent need to re-evaluate and tailor appropriate dietary advice for this population. Additionally, the associations of nutrition and physical function observed in this study serves as an essential resource to design and implement community/faith-based interventions targeting early screening of nutritional status and physical function to ensure most older adults are assessed and treated accordingly.

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Section: Discussionmentioning

confidence: 99%

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

2020

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“…Further validation of the MNA-SF against the MNA-SF in a recent systematic review and meta-analysis found that the MNA-SF (cut-off point ≤11) had a sensitivity of 0.95 (0.75-0.99) and speci city of 0.95 (0.85-0.99) in detecting community-dwelling older adults at risk of malnutrition [58]. Additionally, a study of 155 older adults with a mean age of 78 years exploring the relationship between the MNA-SF and other comprehensive nutritional assessment measures, found that the MNA-SF had a stronger correlation with anthropometric and biological markers (p<0.01) [59].…”

Section: Discussionmentioning

confidence: 99%

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

Asamane

Greig

Thompson

2020

Preprint

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Abstract Background: There are limited longitudinal data regarding nutrient intake, nutritional status and physical function in community-dwelling ethnically diverse older adults. This study explored these variables and their relationship at baseline (n=100) and 8-months’ follow-up (n=81) among community-dwelling ethnically diverse older adults (≥60 years) in Birmingham, United Kingdom. Methods: Multiple-pass 24-hour dietary recalls and the Mini Nutritional Assessment-Short Form assessed nutritional intake and status, respectively. Short Physical Performance Battery (SPPB) and handgrip strength measured physical function. Linear and multinomial regressions were used to predict relationships between physical function, nutritional status and nutrient intake. Results: Complete data were collected at baseline (n=100) and 8-months’ follow-up (n=81). Mean (SD) age was 70 (8.1) years (60% male), with 62% being obese. Statistically significant decreases in intakes of vitamin B6, vitamin B1, iron, folate, and magnesium occurred over time. Daily intake of all micronutrients except vitamin B12, phosphorus and manganese were below the Recommended Nutrient Intakes (RNI). SPPB (Z=-4.01, p<0.001) and nutritional status (Z=-2.37, p=0.018) declined over time. Higher SPPB scores at baseline (OR=0.54 95% CI 0.35, 0.81) were associated with a slower decline in nutritional status. Conclusion: The observed declines and inadequate nutrient intakes in the absence of weight loss in just eight months may pose serious challenges to healthy ageing, identifying an urgent need to re-evaluate and tailor appropriate dietary advice for this population. Additionally, the associations of nutrition and physical function observed in this study serves as an essential resource to design and implement community/faith-based interventions targeting early screening of nutritional status and physical function to ensure most older adults are assessed and treated accordingly.

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“…It includes decrease in food intake, weight loss and BMI, as well as interviews for mobility and mental/cognitive health problems, and is often used for community-dwelling older adults. 24 MUST is scored by weight loss, nutrient deficiency as a result of disease and BMI. It has a short time-to-completion due to its small number of items, and has face validity, content validity, construct validity and predictive validity.…”

Section: Discussionmentioning

confidence: 99%

“…MNA‐SF screens for malnutrition risk using six items of multifaceted information. It includes decrease in food intake, weight loss and BMI, as well as interviews for mobility and mental/cognitive health problems, and is often used for community‐dwelling older adults 24 . MUST is scored by weight loss, nutrient deficiency as a result of disease and BMI.…”

Section: Discussionmentioning

confidence: 99%

Determining the optimal value of the Geriatric Nutritional Risk Index to screen older patients with malnutrition risk: A study at a university hospital in Japan

Ishida

Maeda

Nonogaki

et al. 2020

Geriatrics Gerontology Int

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Aim The Geriatric Nutritional Risk Index (GNRI) can predict nutritional risk. However, just a few studies have validated the optimal cut‐off value of GNRI for nutrition screening in older patients. Hence, this study aimed to determine the optimal value of GNRI to screen the risk of malnutrition among older patients. Methods This retrospective cross‐sectional study was carried out with 5867 consecutive older adult patients who were admitted to an academic hospital in Japan. Receiver operating characteristic curve analyses were carried out to obtain the optimal cut‐off value of GNRI, and the results were compared against the Mini Nutritional Assessment – Short Form and Malnutrition Universal Screening Tool. The validation of the obtained cut‐off value was examined on the concordance rate of malnutrition diagnosis based on the European Society of Clinical Nutrition and Metabolism criteria. Results The mean age of the patients was 76.0 ± 7.0 years. The optimal cut‐off value of GNRI for Mini Nutritional Assessment – Short Form ≤11 points was 95.92 (area under the curve 0.827 [0.817–0.838], P < 0.001), and that for Malnutrition Universal Screening Tool ≥1 point was 95.95 (area under the curve 0.788 [0.776–0.799], P < 0.001). By adapting GNRI <96 points as an initial screening cut‐off in the European Society of Clinical Nutrition and Metabolism‐defined malnutrition process, the concordance rates of comparisons were 98.5% and 98.5% for Mini Nutritional Assessment – Short Form‐based and MUST‐based diagnosis, respectively. Conclusions The study showed GNRI <96 points as the optimal cut‐off value for nutritional screening. GNRI might be one of the easy‐to‐use tools for nutritional screening and for diagnosing malnutrition in older adults. Geriatr Gerontol Int 2020; 20: 811–816.

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Validity of Nutritional Screening Tools for Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis

Cited by 50 publications

References 59 publications

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

The association between nutrient intake, nutritional status and physical function of community-dwelling ethnically diverse older adults

Determining the optimal value of the Geriatric Nutritional Risk Index to screen older patients with malnutrition risk: A study at a university hospital in Japan

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