Strong Relationship Between Malnutrition and Cognitive Frailty in the Singapore Longitudinal Ageing Studies (Slas-1 and Slas-2)

Chye, Lilian; Wei, Kai; Nyunt, Ma Shwe Zin; Gao, Qi; Wee, Shiou‐Liang; Ng, Tze‐Pin

doi:10.14283/jpad.2017.46

Cited by 44 publications

(60 citation statements)

References 31 publications

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“…There were 13 studies performed in community populations [5][6][7][8][9][10][11][12][13][14][15][16][17] (Table 1), 21 studies in acute care (Table 2), which includes six (n=6) in critical care (intensive care unit (ICU)) [33][34][35][36][37][38] settings (Table 3), three (n=3) in long-term care settings [39][40][41] (Table 4) and five (n=5) in outpatient settings [42][43][44][45][46] (Table 5). Sixteen (n=16) studies were specific to the geriatric population, 5, 6, 8-16, 25, 41, 42, 44, 46 while the rest were on the general adult populations.…”

Section: Resultsmentioning

confidence: 99%

“…Nine (n=9) studies belong to the Singapore Longitudinal Ageing Studies 1 and 2 population. 5,6,8,9,[13][14][15][16][17] Five (n=5) studies reported economic outcomes but were not cost-effectiveness trials. 20,23,27,31,40…”

Section: Resultsmentioning

confidence: 99%

“…In the community population (Table 1), the mini nutritional assessment short-form (MNA-SF) 51,52 (eight of 11 studies, 72.8%) 6,8,9,[12][13][14][15][16] and the NSI determine your nutritional health checklist 53 (seven of 11 studies, 63.6%) were the tools of choice for screening. 5-7, 13, 14, 16, 17 Some studies used multiple screening tools (five of 11 studies, 45.5%).…”

Section: Nutritional Screening and Assessmentmentioning

confidence: 99%

“…5-7, 13, 14, 16, 17 Some studies used multiple screening tools (five of 11 studies, 45.5%). 6,9,13,14,16 One study 9 used the geriatric nutritional risk index 54 and ESPEN diagnostic criteria for malnutrition 55 for nutritional screening. The mini nutritional assessment (MNA) was found to be the tool of choice for nutritional assessment 56 (three of three studies, 100%).…”

Section: Nutritional Screening and Assessmentmentioning

confidence: 99%

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Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Wong

Huang

Sowa

et al. 2020

Proceedings of Singapore Healthcare

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Background: There is currently no review published on the prevalence and incidence of malnutrition in Singapore across various populations, or what interventions or policies are in place for preventing/treating malnutrition. Objectives: This review aims to determine the: (a) incidence and prevalence of malnutrition in the community, and in acute, intermediate and long-term care facilities; (b) interventions implemented for screening, assessing and treating/preventing malnutrition; (c) specific clinical populations investigated for malnutrition or nutritional therapy; and (d) implications of malnutrition and effectiveness of treating malnutrition or using nutritional therapy in Singapore. Methods: A structured search strategy was applied to available electronic databases (MEDLINE/PubMed, EMBASE, CINAHL, the Cochrane Library and Google Scholar) using selected search terms, with additional reports and grey literature identified using iterative searches. Results: Forty-two articles were found, with the majority of research performed in the community and acute care settings. Malnutrition screening and assessment is the most common nutritional research performed in Singapore. Approximately 14.7% to 65.0% of acute care and 2.8% to 31.5% of community populations are found to be malnourished. Limited interventional and economic-related studies are available. Conclusion: Malnutrition rates in Singapore appear to be similar to other developed countries. Future studies will need to focus on nutritional intervention, cost-effectiveness analyses and specific populations such as the underprivileged, chronically ill and those dependent on nutritional support.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Nutritional Screening and Assessmentmentioning

confidence: 99%

Section: Nutritional Screening and Assessmentmentioning

confidence: 99%

See 2 more Smart Citations

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Wong

Huang

Sowa

et al. 2020

Proceedings of Singapore Healthcare

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“…Malnutrition can lead to functional impairment, depression, falls, impaired immune function, and cognitive impairment, all of which are strongly associated with frailty. 33–36 Moreover, malnutrition can result in a loss of muscle mass and strength due to an imbalance between muscle protein synthesis and degradation, consequently causing the development and progression of sarcopenia, which is an important etiological factor in developing frailty. 2 , 37 , 38 Additionally, frailty, in turn, accelerates age-related decline in muscle mass, increasing the risk of impaired mobility, 39 which further exacerbates the state of malnutrition.…”

Section: Discussionmentioning

confidence: 99%

Association Between Geriatric Nutritional Risk Index and Frailty in Older Hospitalized Patients

Zhao¹,

Hou²,

Zhang³

et al. 2021

CIA

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Objective Previous studies have explored the association between malnutrition and frailty, but no study has investigated whether the Geriatric Nutritional Risk Index (GNRI), a simple and objective nutritional risk screening tool, is associated with the frailty of older adults. The study aimed to examine the relationship between nutrition-related risk, as assessed by the GNRI, and frailty among older hospitalized patients. Methods A cross-sectional study was conducted in the West China Hospital of Sichuan University with 740 patients aged ≥70 years between March 2016 and Jan 2017. Nutritional and frailty status was evaluated with the GNRI and FRAIL scale, respectively. The adjusted and unadjusted ordinal logistic regression analyses were used to examine the relationship between nutritional risk and frailty. The ability of GNRI in detecting frailty was assessed by receiver operating characteristic (ROC) curve analysis. Results The prevalence of low, moderate, and severe nutritional risk among frail patients were 30.1%, 27.6%, and 12.5%, respectively. Ordinal logistic regression analysis showed that malnutrition assessed by the GNRI had a significant association with frailty after adjustment of age, sex, polypharmacy, comorbidity, vision impairment, hearing impairment, cognitive impairment, and depression. In the ROC analysis, the area under the curve for GNRI identifying frailty was 0.698 (95% CI: 0.66–0.74; P <0.001), and the optimal cut-point value was 97.16 (sensitivity: 64.3%; specificity: 66.9%). Conclusion Nutrition-related risk screened by the GNRI was independently associated with frailty. The GNRI could be used as a simple tool in detecting nutritional risk and frailty status of older patients.

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Prevalence and prognostic impact of cognitive frailty in elderly patients with heart failure: sub‐analysis of FRAGILE‐HF

et al. 2022

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Aims Although evidence suggests that cognitive decline and physical frailty in elderly patients with heart failure (HF) are associated with prognosis, the impact of concurrent physical frailty and cognitive impairment, that is, cognitive frailty, on prognosis has yet to be fully investigated. The current study sought to investigate the prevalence and prognostic impact of cognitive frailty in elderly patients with HF. Methods and resultsThis study is a sub-analysis of FRAGILE-HF, a prospective multicentre observational study involving patients aged ≥65 years hospitalized for HF. The Fried criteria and Mini-Cog were used to diagnose physical frailty and cognitive impairment, respectively. The association between cognitive frailty and the combined endpoint of mortality and HF rehospitalization within 1 year was then evaluated. Among the 1332 patients identified, 1215 who could be assessed using Mini-Cog and the Fried criteria were included in this study. Among those included, 279 patients (23.0%) had cognitive frailty. During the follow-up 1 year after discharge, 398 combined events were observed. Moreover, cognitive frailty was determined to be associated with a higher incidence of combined events (log-rank: P = 0.0146). This association was retained even after adjusting for other prognostic factors (hazard ratio: 1.55, 95% confidence interval: 1.13-2.13). Furthermore, a sensitivity analysis using grip strength, short physical performance battery, and gait speed to determine physical frailty instead of the Fried criteria showed similar results. Conclusions This cohort study found that 23% of elderly patients with HF had cognitive frailty, which was associated with a 1.55-fold greater risk for combined events within 1 year compared with patients without cognitive frailty.

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Strong Relationship Between Malnutrition and Cognitive Frailty in the Singapore Longitudinal Ageing Studies (Slas-1 and Slas-2)

Cited by 44 publications

References 31 publications

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Adult malnutrition, nutritional interventions and outcomes in Singapore: a scoping review of local studies for the past 20 years

Association Between Geriatric Nutritional Risk Index and Frailty in Older Hospitalized Patients

Prevalence and prognostic impact of cognitive frailty in elderly patients with heart failure: sub‐analysis of FRAGILE‐HF

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