High nutrition risk related to dietary intake is associated with an increased risk of hospitalisation and mortality for older Māori: LiLACS NZ

North, Sylvia; Wham, Carol; Teh, Ruth; Moyes, Simon; Rolleston, Anna; Kerse, Ngaire

doi:10.1111/1753-6405.12793

Cited by 5 publications

(3 citation statements)

References 28 publications

(33 reference statements)

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“…The 10th year follow up was completed in 2021 with participants over 90 years of age. A detailed study protocol has been previously published [ 25 ], and data outcomes have been published over the follow-up period [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. In brief, Māori, indigenous peoples of Aotearoa New Zealand, aged 80–90 years, (10-year birth cohort 1920–1930) and non-Māori aged 85 years (single birth year cohort, 1925) were identified through multiple overlapping strategies, invited, given informed consent, and then interviewed in 2010–2011.…”

Section: Methodsmentioning

confidence: 99%

Dietary Protein Intake and Physical Function in Māori and Non-Māori Adults of Advanced Age in New Zealand: LiLACS NZ

et al. 2023

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The population of older adults is growing exponentially. Research shows that current protein intake recommendations are unlikely to meet the ageing requirements and may be linked to reduced physical function. Ensuring optimal function levels is crucial for independence and quality of life in older age. This study aims to quantify the protein intake in those over 90 years of age and determine the association between historical protein intake (2011) and subsequent physical function at ten years follow-up (2021). Eighty-one participants (23 Māori and 54 non-Māori) undertook dietary assessment 24 h multiple-pass recall (MPR) and a standardised health and social questionnaire with physical assessment in 2011 and 2021. Intake24, a virtual 24 h MPR, was utilised to analyse dietary intake. Functional status was measured using the Nottingham Extended Activities of Daily Living Scale (NEADL), and physical performance was the Short Physical Performance Battery (SPPB). Māori men and women consumed less protein (g/day) in 2021 than in 2011 (P = 0.043 in men), but weight-adjusted protein intake in Māori participants over the ten years was not significantly reduced. Both non-Māori men and women consumed significantly less protein (g/day) between 2011 and 2021 (p = 0.006 and p = 0.001, respectively), which was also significant when protein intake was adjusted for weight in non-Māori women (p = 0.01). Weight-adjusted protein intake in 2011 was independently associated with functional status (NEADL score) in 2021 (p =< 0.001). There was no association between past protein intake and SPPB score (p = 0.993). Animal protein was replaced with plant-based protein over time. In conclusion, a reduction in protein intake was seen in all participants. The independent association between past protein intake and future functional status supports recommendations to keep protein intake high in advanced age.

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Section: Methodsmentioning

confidence: 99%

Dietary Protein Intake and Physical Function in Māori and Non-Māori Adults of Advanced Age in New Zealand: LiLACS NZ

et al. 2023

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“…The prevalence of malnutrition among ANZ community-dwelling older adults ranges between 1% and 17%; and between 4% and 63% are at risk for developing malnutrition [ 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 ] (refer to Table S1 in Supplementary Files ). Several tools were used to assess malnutrition in studies, with the modified Seniors in the Community: Risk Evaluation for Eating and Nutrition questionnaire (SCREEN© II) among the most common.…”

Section: Prevalence Of Malnutrition Frailty and Sarcopeniamentioning

confidence: 99%

“…Malnutrition, frailty and sarcopenia have serious consequences at an individual and societal level. Malnutrition adversely impacts the body’s healing process and increases a person’s risk of functional decline [ 54 ], infections [ 55 ], falls [ 56 , 57 ], pressure injuries [ 58 ], hospitalisation [ 35 , 54 ], institutionalization [ 54 ] and mortality [ 35 ]. In turn, these adverse events negatively influence an individual’s quality of life, especially in elderly persons, and that of their families, and substantially contribute to acute and long-term healthcare costs [ 59 ].…”

Section: Impact and Effects Of Malnutrition Frailty And Sarcopeniamentioning

confidence: 99%

Identifying and Managing Malnutrition, Frailty and Sarcopenia in the Community: A Narrative Review

2021

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Malnutrition, frailty and sarcopenia are becoming increasingly prevalent among community-dwelling older adults; yet are often unidentified and untreated in community settings. There is an urgent need for community-based healthcare professionals (HCPs) from all disciplines, including medicine, nursing and allied health, to be aware of, and to be able to recognise and appropriately manage these conditions. This paper provides a comprehensive overview of malnutrition, frailty and sarcopenia in the community, including their definitions, prevalence, impacts and causes/risk factors; and guidance on how these conditions may be identified and managed by HCPs in the community. A detailed description of the care process, including screening and referral, assessment and diagnosis, intervention, and monitoring and evaluation, relevant to the community context, is also provided. Further research exploring the barriers/enablers to delivering high-quality nutrition care to older community-dwelling adults who are malnourished, frail or sarcopenic is recommended, to inform the development of specific guidance for HCPs in identifying and managing these conditions in the community.

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Is the Utility of the GLIM Criteria Used to Diagnose Malnutrition Suitable for Bicultural Populations? Findings from Life and Living in Advanced Age Cohort Study in New Zealand (LiLACS NZ)

MacDonell

Moyes

Teh

et al. 2023

The Journal of nutrition, health and aging

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Objectives To investigate associations between nutrition risk (determined by SCREEN-II) and malnutrition (diagnosed by the GLIM criteria) with five-year mortality in Māori and non-Māori of advanced age. Design A longitudinal cohort study. Setting Bay of Plenty and Lakes regions of New Zealand. Participants 255 Māori; 400 non-Māori octogenarians. Measurements All participants were screened for nutrition risk using the Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN-II). Those at high nutrition risk (SCREEN-II score <49) had the Global Leadership Initiative in Malnutrition (GLIM) criteria applied to diagnose malnutrition or not. Demographic, physical and health characteristics were obtained by trained research nurses using a standardised questionnaire. Five-year mortality was calculated from Government data. The association of nutrition risk (SCREEN-II) and a malnutrition diagnosis (GLIM) with five-year mortality was examined using logistic regression and cox proportional hazard models of increasing complexity. Results 56% of Māori and 46% of non-Māori participants had low SCREEN-II scores indicative of nutrition risk. The prevalence of GLIM diagnosed malnutrition was lower for both Māori and non-Māori (15% and 19% of all participants). Approximately one-third of participants (37% Māori and 32% non-Māori) died within the five-year follow-up period. The odds of death for both Māori and non-Māori was significantly lower with greater SCREEN II scores (better nutrition status), (OR (95% CI); 0.58 (0.38, 0.88), P < 0.05 and 0.53 (0.38, 0.75), P < 0.001, respectively). GLIM diagnosed malnutrition was not significantly associated with five-year mortality for Māori (OR (95% CI); 0.88 (0.41, 1.91), P >0.05) but was for non-Māori. This association remained significant after adjustment for other predictors of death (OR (95% CI); 0.50 (0.29, 0.86), P< 0.05). Reduced food intake was the only GLIM criterion predictive of five-year mortality for Māori (HR (95% CI); 10.77 (4.76, 24.38), P <0.001). For non-Māori, both aetiologic and phenotypic GLIM criteria were associated with five-year mortality. Conclusion Nutrition risk, but not malnutrition diagnosed by the GLIM criteria was significantly associated with mortality for Māori. Conversely, both nutrition risk and malnutrition were significantly associated with mortality for non-Māori. Appropriate phenotypic criteria for diverse populations are needed within the GLIM framework.

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High nutrition risk related to dietary intake is associated with an increased risk of hospitalisation and mortality for older Māori: LiLACS NZ

Cited by 5 publications

References 28 publications

Dietary Protein Intake and Physical Function in Māori and Non-Māori Adults of Advanced Age in New Zealand: LiLACS NZ

Dietary Protein Intake and Physical Function in Māori and Non-Māori Adults of Advanced Age in New Zealand: LiLACS NZ

Identifying and Managing Malnutrition, Frailty and Sarcopenia in the Community: A Narrative Review

Is the Utility of the GLIM Criteria Used to Diagnose Malnutrition Suitable for Bicultural Populations? Findings from Life and Living in Advanced Age Cohort Study in New Zealand (LiLACS NZ)

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