%0 Journal Article
%T Nutritional Status Assessment in Elderly Using Different Screening Tools
%A Yves Guigoz
%A B. Vellas
%J Journal of Medical Sciences and Interdisciplinary Research
%@ 3108-4826
%D 2023
%V 3
%N 1
%R 10.51847/JZjGw02xal
%P 9-19
%X This study aimed to assess the nutritional health of elderly individuals residing in nursing homes, using different malnutrition screening tools, comparing their effectiveness, and assessing the prevalence of malnutrition in this group. The study included 88 participants (60 males, 28 females) with a mean age of 76.91 ± 8.18 years, all from a private nursing home. Information such as hand grip strength, anthropometric measurements, and serum albumin levels were extracted from medical records. Findings from the screening tools showed that 1.1% of the participants were classified as high-risk by the NSI, 3.4% as medium-risk by the MUST, 3.4% were found malnourished using the MNA, and 10.2% had low risk according to the GNRI. The study showed weak correlations between BMI (P = 0.032), mid-upper arm circumference (MUAC) (P = 0.003), and calf circumference (P = 0.009). In contrast, a strong relationship was found between GNRI scores and albumin levels (P < 0.001). In addition, weaker correlations were observed between physical activity level (PAL) (P = 0.004) and waist/hip ratio (P = 0.015). Mild correlations were noted between NSI and waist/height ratio (P = 0.040) and PAL (P = 0.001). A negative correlation was found between NSI and MNA scores (r = -0.419), while GNRI and MNA scores showed a positive correlation (r = 0.424). This study recommends choosing malnutrition screening tools based on the elderly’s living conditions—whether in nursing homes, homes, or hospitals—and conducting regular follow-ups with repeated screenings to enable early diagnosis.
%U https://smerpub.com/article/nutritional-status-assessment-in-elderly-using-different-screening-tools-9s0eiezgguejtgy