Biomaterial Database

Risk of malnutrition among Brazilian institutionalized elderly: a study with the Mini Nutritional Assessment (MNA) questionnaire. 2011

R S Pereira Machado, and M A Santa Cruz Coelho

Multidisciplinary Institute, Rural Federal University of Rio de Janeiro, Brasil. renata_nut@hotmail.com

BACKGROUND Brazilian population has passed for a process of demographic transition throughout latest years, characterized for the increase of the elderly population. Malnutrition is a serious problem to frail elderly. OBJECTIVE The objective of this study was o evaluate the risk of malnutrition among institutionalized elderly resident in municipal shelters in the city of Rio de Janeiro, Brazil, using the tool Mini Nutritional Assessment (MNA). METHODS 344 institutionalized elderly aged over 60 years old were tested in a cross-sectional study using MNA. This tool classifies the nutricional status of the elderly in three groups: malnutrition (score < 17), risk of malnutrition (score 17 - 23,5) and well-nourished (score > = 24). Anthropometric measurements such as calf circumference (CC), mid-arm circumference (MAC) and Body mass index (BMI) were also evaluated. The variables were evaluated using the chi-square or ANOVA test. To correlate it was used Pearson's Correlation Coefficient (r). RESULTS Mean age were 75.4 (+- 9.4) years old. Most of the elderly were female gender (59.6%). According to MNA 8.3% were with malnutrition, 55.6% at risk of malnutrition and 36.1% well-nourished. BMI classified 10.0% of the elderly as underweight. CC classified 10.0 % of them as inadequate in muscular mass. MNA was well correlated to BMI (r=0.412 p=0.000), age (r=-0.124 p=0.031), CC (r=0.399 p = 0.000) and MAC (r=0.391 p=0.000). CONCLUSIONS Risk of malnutrition was high among the institutionalized elderly from public shelters in Rio de Janeiro - Brazil. MNA is a useful diagnostic tool for the identification on the frail elderly at risk of malnutrition.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D009752	Nutritional Status	State of the body in relation to the consumption and utilization of nutrients.	Nutrition Status,Status, Nutrition,Status, Nutritional
D011795	Surveys and Questionnaires	Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions.	Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D001837	Body Weights and Measures	Measurements of the height, weight, length, area, etc., of the human and animal body or its parts.	Body Measures,Body Measure,Measure, Body,Measures, Body
D001938	Brazil	A country located on the eastern coast of South America, located between Colombia and Peru, that borders the Atlantic Ocean. It is bordered on the north by Venezuela, Guyana, Suriname, and French Guiana, on the south by Uruguay, and on the west by Argentina. The capital is Brasilia.
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000367	Age Factors	Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.	Age Reporting,Age Factor,Factor, Age,Factors, Age
D000368	Aged	A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available.	Elderly