Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Sep;17(3):662-671.
doi: 10.26574/maedica.2022.17.3.662.

Cut-off of Anthropometric Measurements and Nutritional Status among Elderly Outpatients in a Tertiary Health Care Center in Telangana

Affiliations
Editorial

Cut-off of Anthropometric Measurements and Nutritional Status among Elderly Outpatients in a Tertiary Health Care Center in Telangana

Durgesh Prasad Sahoo et al. Maedica (Bucur). 2022 Sep.

Abstract

Introduction:Geriatric population is most vulnerable to various emerging communicable and noncommunicable diseases due to various socio-economic, physiological, psychological and nutritional risk factors. Adequate nutritional status is utmost important in older age as it helps in maintaining the immune response and preventing the morbidities and mortalities in this age. Thus, the opportunistic screening of malnutrition among geriatric population gives an extra edge for achievement of healthy ageing in the elderly. The objective of the present study was to assess the nutritional status among the elderly population and provide cut-off values of various anthropometric measurements for detecting the risk of malnutrition among old age people. Materials and methods:The present cross-sectional study was carried out among people aged . 60 years who visited the geriatric clinic of a tertiary health care center between May and December 2021. The nutritional status of the 468 selected elderly was assessed using the Mini Nutritional Assessment (MNA) tool and various anthropometric measurements. Receiver operating characteristic (ROC) curve and Youden index were used to determine the cut-off values of anthropometric measurements. Correlation between various anthropometric parameters was studied. Data was analyzed using SPSS vs. 20 software. Results:Out of the 468 subjects, around one third had a risk of malnutrition and 7% malnutrition as per the MNA scale. Cut-off values of triceps skinfold thickness, neck circumference and arm muscle circumference were 12.5 cm, 32.5 cm, 18.3 cm and 11.5 cm, 35.5 cm, 21.2 cm for detecting malnutrition and risk of malnutrition, respectively. Neck circumference was found to be the most suitable measurement, with a cut-off value of 32.5 cm and 35.5 cm for detecting malnutrition and risk of malnutrition, respectively, as it possessed the highest Youden index and AUC. Conclusion:The prevalence of malnutrition was found to be low in the present study setting. Our findings firmly established that the neck circumference could be used as a simple, rapid, non-invasive and valid screening tool, with high sensitivity and specificity for detecting the risk of malnutrition in geriatric clinics or primary health care settings.

PubMed Disclaimer

Figures

TABLE 1.
TABLE 1.
Distribution of study participants according to sociodemographic characteristics (n=468)
TABLE 2.
TABLE 2.
Association of nutritional status with sociodemographic variables
TABLE 3.
TABLE 3.
Distribution of cut-off values of anthropometric measurements as per gender and nutrition status
FIGURE 1.
FIGURE 1.
ROC curve for identification of malnourishment amongst the elderly
FIGURE 2.
FIGURE 2.
ROC curve for identification of malnutrition risk amongst the elderly
TABLE 4.
TABLE 4.
Distribution of cut-off values of anthropometric measurements as per gender and nutrition status
FIGURE 3.
FIGURE 3.
Scatter plot showing correlation between various anthropometric measurements

References

    1. Rudnicka E, Napierała P, Podfigurna A, et al. The World Health Organization (WHO) approach to healthy ageing. Maturitas[Internet]. 2020 Sep [cited 2022 Mar 1];139:6–11. - PMC - PubMed
    1. . Census of India Website: Office of the Registrar General and Census Commissioner, India [Internet]. [cited 2022 Feb 26]. Available from: https://censusindia.gov. in/2011-common/census_data_2001.html.
    1. Fávaro-Moreira NC, Krausch-Hofmann S, Matthys C, et al. Risk Factors for Malnutrition in Older Adults: A Systematic Review of the Literature Based on Longitudinal Data123. . Adv Nutr [Internet]. 2016. Available from: https://www.ncbi.nlm. nih.gov/pmc/articles/PMC4863272/ - PMC - PubMed
    1. Shahar S, Wong S, Wan C. A Prospective Study on Malnutrition and Duration of Hospitalisation among Hospitalised Geriatric Patients Admitted to Surgical and Medical Wards of Hospital UniversitiKebangsaan Malaysia. Malays J Nutr. 2002;8:55–62. - PubMed
    1. Camina-Martín MA, de Mateo-Silleras B, Malafarina V, et al. Nutritional status assessment in geriatrics: Consensus declaration by the Spanish Society of Geriatrics and Gerontology Nutrition Work Group. Maturitas. 2015;81:414–419. - PubMed

Publication types

LinkOut - more resources