用于诊断营养不良的GLIM标准对双文化人群是否适用?来自新西兰老年队列研究“生活与生存”(LiLACS NZ)的结果。

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).

作者信息

MacDonell S O, Moyes S A, Teh R, Dyall L, Kerse N, Wham C

机构信息

Sue MacDonell, Department of General Practice and Primary Health Care, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand,

出版信息

J Nutr Health Aging. 2023;27(1):67-74. doi: 10.1007/s12603-022-1874-9.

Abstract

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.

摘要

目的

研究营养风险(由SCREEN-II确定)和营养不良(根据GLIM标准诊断)与高龄毛利人和非毛利人五年死亡率之间的关联。

设计

纵向队列研究。

地点

新西兰丰盛湾和湖区。

参与者

255名毛利人;400名非毛利八旬老人。

测量

所有参与者均使用社区老年人:饮食与营养风险评估(SCREEN-II)进行营养风险筛查。营养风险高(SCREEN-II评分<49)的人应用全球营养不良领导倡议(GLIM)标准来诊断是否存在营养不良。经过培训的研究护士使用标准化问卷获取人口统计学、身体和健康特征。根据政府数据计算五年死亡率。使用逻辑回归和复杂度不断增加的cox比例风险模型检验营养风险(SCREEN-II)和营养不良诊断(GLIM)与五年死亡率之间的关联。

结果

56%的毛利人和46%的非毛利参与者SCREEN-II得分低,表明存在营养风险。毛利人和非毛利人的GLIM诊断营养不良患病率均较低(分别占所有参与者的15%和19%)。在五年随访期内,约三分之一的参与者(37%的毛利人和32%的非毛利人)死亡。SCREEN II得分越高(营养状况越好),毛利人和非毛利人的死亡几率均显著降低(OR(95%CI);分别为0.58(0.38,0.88),P<0.05和0.53(0.38,0.75),P<0.001)。GLIM诊断的营养不良与毛利人的五年死亡率无显著关联(OR(95%CI);0.88(0.41,1.91),P>0.05),但与非毛利人有关。在调整其他死亡预测因素后,这种关联仍然显著(OR(95%CI);0.50(0.29,0.86),P<0.05)。食物摄入量减少是GLIM标准中唯一可预测毛利人五年死亡率的因素(HR(95%CI);10.77(4.76,24.38),P<0.001)。对于非毛利人,病因学和表型GLIM标准均与五年死亡率相关。

结论

营养风险而非GLIM标准诊断的营养不良与毛利人的死亡率显著相关。相反,营养风险和营养不良均与非毛利人的死亡率显著相关。在GLIM框架内,需要为不同人群制定合适的表型标准。

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