RESEARCH JOURNAL OF FOOD SCIENCE AND NUTRITION
Integrity Research Journals

ISSN: 2536-7080
Model: Open Access/Peer Reviewed
DOI: 10.31248/RJFSN
Start Year: 2016
Email: rjfsn@integrityresjournals.org


A comparative study of the nutritional status of the elderly population residing in rural and urban communities in Benue State, Nigeria

https://doi.org/10.31248/RJFSN2026.224   |   Article Number: FCC849E41   |   Vol.11 (2) - April 2026

Received Date: 16 January 2026   |   Accepted Date: 27 February 2026  |   Published Date: 30 April 2026

Authors:  Francisca Mlumun Gbeyonron* , Justina Ndirika Chikwendu and Jesse Fanen Ortswen

Keywords: nutritional status., urban, rural, Elderly, Mini Nutritional Assessment

Geriatric populations are vulnerable to malnutrition. The nutritional status of community-dwelling older adults was assessed using validated screening tools to enable early identification and prevention of malnutrition in this group. The study was carried out on the nutritional screening tests of the elderly aged 60 years and above. The design was a cross-sectional design involving 516 (60 to ≤ 80years), consisting of 293 rural and 223 urban home-dwelling elderly. Data were collected using a well-structured questionnaire containing demographic characteristics, anthropometric features, and Mini Nutritional Assessment (MNA) screening tool. Data were analysed using Statistical Package for Social Sciences (SPSS) version 20.0. Mini Nutritional Assessment Status showed 64% elderly had normal and 34% were at risk of malnutrition. While Body Mass Index (BMI) showed 35.10% normal weight, 32.90% overweight, 27.90% obese and 4.10% underweight. Males (3.50%) were more malnourished than females (1.00%) as classified by MNA, while using BMI classification; females were underweight than males (5.90% and 2.90%), respectively. Among participants aged 80 years and older, only 4.10% were well-nourished (p < .001) using the BMI indicator. In conclusion, the elderly from the urban areas had normal nutrition status than those from rural areas, both using MNA and BMI tools (P< 0.001). This can guide specific interventions for at-risk elders in both settings.

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