Prevalence of Malnutrition According to the Global Leadership Initiative on Malnutrition Criteria in Community-dwelling Older Adults in Turkey

被引:6
作者
Demirdag, Filiz [1 ]
Kolbasi, Esma Nur [2 ]
Pehlivan, Ozlem [3 ]
机构
[1] Univ Hlth Sci Turkey, Umraniye Training & Res Hosp, Dept Geriatr, Istanbul, Turkey
[2] Istanbul Medeniyet Univ, Fac Hlth Sci, Dept Physiotherapy & Rehabil, Istanbul, Turkey
[3] Univ Hlth Sci Turkey, Umraniye Training & Res Hosp, Dept Rheumatol, Istanbul, Turkey
来源
MEDENIYET MEDICAL JOURNAL | 2022年 / 37卷 / 03期
关键词
Malnutrition; Global Leadership Initiative on Malnutrition (GLIM); aged; geriatric assessment; energy intake; SCREENING TOOLS; RISK;
D O I
10.4274/MMJ.galenos.2022.14377
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: This study aimed to investigate the prevalence of malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria in community-dwelling older adults in Turkey.Methods: Malnutrition was assessed based on the GLIM criteria, and Mini-Nutritional Assessment-Short Form was used for screening. The severity of malnutrition was determined as severe or moderate based on the phenotypic criteria of GLIM.Results: Five hundred sixty-nine (69% female, mean age 74.42 +/- 6.58 years) community-dwelling older adults participated in this study. The educational statuses of the participants were as follows: 17.2%, illiterate; 13.3%, literate; 35.3%, primary school; 7.0%, secondary school; 11.1%, high school; and 16.2%, university graduates. Among the participants, 16.4% were living alone, whereas 43.9% of them were living with their spouses. The rest were living with their extended families. According to the GLIM criteria, 24.5% (n=139) of the participants had malnutrition, and 13.9% of the total population had severe malnutrition. Age was significantly associated with malnutrition [odds ratio 1.064, 95% confidence interval (CI) 1.034-1.096, p<0.00011. No significant difference was found between genders (p=0.207), education groups (p=0.323), and living status (p=0.434) in terms of malnutrition. However, women had higher malnutrition rates than men (26.0% vs. 21.0%) (risk ratio 0.757, 95% CI 0.494-1.160, p=0.207).Conclusions: The prevalence of malnutrition was 24.5%, whereas the rate of severe malnutrition was 13.9% in community-dwelling older adults. Women had higher rates of malnutrition, and age was associated with malnutrition. We recommend for researchers and clinicians to integrate the GLIM criteria into their practices to create a common language in malnutrition assessment.
引用
收藏
页码:234 / 239
页数:6
相关论文
共 28 条
[1]   Malnutrition in the elderly: A narrative review [J].
Agarwal, E. ;
Miller, M. ;
Yaxley, A. ;
Isenring, E. .
MATURITAS, 2013, 76 (04) :296-302
[2]   Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition [J].
Bahat, Gulistan ;
Tufan, Asli ;
Tufan, Fatih ;
Kilic, Cihan ;
Akpinar, Timur Selcuk ;
Kose, Murat ;
Erten, Nilgun ;
Karan, Mehmet Akif ;
Cruz-Jentoft, Alfonso J. .
CLINICAL NUTRITION, 2016, 35 (06) :1557-1563
[3]   Comparison of the Efficacy of the Global Leadership Initiative on Malnutrition Criteria, Subjective Global Assessment, and Nutrition Risk Screening 2002 in Diagnosing Malnutrition and Predicting 5-Year Mortality in Patients Hospitalized for Acute Illnesses [J].
Balci, Cafer ;
Bolayir, Basak ;
Esme, Mert ;
Arik, Gunes ;
Kuyumcu, Mehmet Emin ;
Yesil, Yusuf ;
Varan, Hacer Dogan ;
Kara, Ozgur ;
Gungor, A. Evrim ;
Dogu, Burcu Balam ;
Cankurtaran, Mustafa ;
Halil, Meltem .
JOURNAL OF PARENTERAL AND ENTERAL NUTRITION, 2021, 45 (06) :1172-1180
[4]   Turkish nursing homes and care homes nutritional status assessment project (THN-malnutrition) [J].
Cankurtaran, M. ;
Saka, B. ;
Sahin, S. ;
Varlt, M. ;
Doventas, A. ;
Yavuz, B. B. ;
Halil, M. ;
Curgunlu, A. ;
Diger, Z. ;
Tekin, N. ;
Akcicek, F. ;
Karan, M. A. ;
Atli, T. ;
Beger, T. ;
Erdincler, D. S. ;
Ariogul, S. .
EUROPEAN GERIATRIC MEDICINE, 2013, 4 (05) :329-334
[5]   ESPEN guidelines on definitions and terminology of clinical nutrition [J].
Cederholm, T. ;
Barazzoni, R. ;
Austin, P. ;
Ballmer, P. ;
Biolo, G. ;
Bischoff, S. C. ;
Compher, C. ;
Correia, I. ;
Higashiguchi, T. ;
Hoist, M. ;
Jensen, G. L. ;
Malone, A. ;
Muscaritoli, M. ;
Nyulasi, I. ;
Pirlich, M. ;
Rothenberg, E. ;
Schindler, K. ;
Schneider, S. M. ;
de van der Schueren, M. A. E. ;
Sieber, C. ;
Valentini, L. i ;
Yu, J. C. ;
Van Gossum, A. ;
Singer, P. .
CLINICAL NUTRITION, 2017, 36 (01) :49-64
[6]  
Cederholm T, 2019, J CACHEXIA SARCOPENI, V10, P207, DOI [10.1002/jcsm.12383, 10.1002/jpen.1440, 10.1016/j.clnu.2019.02.033, 10.1016/j.clnu.2018.08.002]
[7]  
Cevik A, 2014, MED B SISLI ETFAL HO, V48, P132
[8]   A systematic review, meta-analysis and meta-regression of the prevalence of protein-energy malnutrition: associations with geographical region and sex [J].
Crichton, Megan ;
Craven, Dana ;
Mackay, Hannah ;
Marx, Wolfgang ;
de van der Schueren, Marian ;
Marshall, Skye .
AGE AND AGEING, 2019, 48 (01) :38-48
[9]   Defining the proinflammatory phenotype using high sensitive C-reactive protein levels as the biomarker [J].
Devaraj, S ;
O'Keefe, G ;
Jialal, I .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2005, 90 (08) :4549-4554
[10]  
Elia M., 2003, DEV USE MALNUTRITION