v ::INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES::
ResearcherID - CLICK HERE Scientific Journal Impact Factor (SJIF-2020) - CLICK HERE

TITLE:

PREVALENCE AND PREDICTORS OF MALNOURISHMENT OF ELDERLY IN SAUDI ARABIA USING MNA-SF

AUTHORS:

Aneesah Ali AlFehaid, Walaa Naser Alhaddad, Gofran Mohammed Al braheem, Fatimah Taher ALHadab, Malaa Abdullah Alabdrabalnabi2, Meriam Abdulaiz Alfehaid, Ghadeer Sami Maki Al Dahneem, Ghadeer Abdul Jabbar Al Helal, Malak Radi Al-Aithan

ABSTRACT:

A cross-sectional study was done to find the prevalence and the predictors of elderly malnutrition in Saudi Arabia during the period from 1 January to 31 March 2020. The MNA®-SF is a screening tool to help identify elderly patients who are malnourished or at risk of malnutrition. The MNA-SF was used in our study to assess the malnutrition among elderly as it is validated and recommended for use to grade and screen malnutrition as it fulfills many criteria for screening as well as diagnostic measures. Data were compiled and analyzed using the Statistical Package for the Social Sciences (SPSS, version 23) and results were analyzed with frequencies, Chi-square, and ANOVA tests. P-value was considered significant if <0.05. The study included 408 participants, aged 50 years and higher. Mean age ± SD was 63.9 ± 9.2, and 59.8% were females. Mean BMI (± SD) was 27.9 ± 4.8. Among all, 13.7% were suffering malnutrition, and 36.8% were at risk of malnutrition.

FULL TEXT

Top
  • Follows us on
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.