Research Article | Open Access
Volume 2022 - 1 | Article ID 210 | http://dx.doi.org/10.51521/IJFMPH.2022.1103
Academic Editor: John Bose
GETRUDE BANUMATHI P1, SUJATHA S1*, SHOBANA N2
1Dr.P.Getrude
Banumathi, MD.,DLO., Associate Professor, Department of Community Medicine,
Chengalpattu Medical College, Chengalpattu, Email: getzpgmathi@gmail.com
1Dr.S.Sujatha MD., DPH., Assistant Professor,
Department of Community Medicine, Chengalpattu Medical College, Chengalpattu,
Email: sujacommed2017@gmail.com
2Dr.Shobana N,
Postgraduate, Department of Community medicine, Chengalpattu Medical College,
Email: drshobasrini@gmail.com
*Corresponding author: Dr.
S. Sujatha MD., DPH., Assistant Professor, Department of Community Medicine,
Chengalpattu Medical College, Chengalpattu, Email: sujacommed2017@gmail.com
Citation: Getrude
Banumathi P, Sujatha S, Shobana N (2022) Prevalence of Malnutrition among
Elderly in Rural Field Practice area of Chengalpattu Medical College. Int J Fam
Med Pub Health, 1(1);1-10.
Copyrights: © 2022, S. Sujatha. This is an open-access article distributed
under the terms of the Creative Commons Attribution 4.0 International License,
which permits unrestricted use, distribution and reproduction in any medium,
provided the original author and source are credited.
ABSTRACT:
Background: People of elderly age group were more vulnerable in terms of
health compared to younger age group and nutrition plays an important role in
determination of health. Malnutrition including both undernutrition and obesity
has major impact on health status of elderly population. Hence measures to
prevent malnutrition in elderly was of utmost importance in present situation.
Objectives: To estimate the prevalence of malnutrition among people of age ≥ 60
years in rural field practice area of Chengalpattu Medical College. To explore
the factors contributing to malnutrition among the study population.
Methodology: The study was a community based cross sectional study among 115 study
participants in rural field practice area of Chengalpattu Medical College. The
study population was arrived by Multistage sampling method and data was
collected after obtaining permission from Institutional Ethical Committee and
after getting informed consent from study participants. The study was conducted
using a pre-tested semi-structured questionnaire which consists of
sociodemographic details, personal habits, comorbidities and ailments, general
examination, Anthropometry and nutrition assessment using Mini Nutrition
Assessment tool. Data collected was entered in MS excel and data analysis done
using SPSS version 20. Chisquare test and Pearson correlation was applied to
analyze the data and p value <0.05 was taken as significant.
Results: Among the study population 35(30.43%) were males and 80(69.57%) were
females. The mean age of entire study population was 68.11±5.561 years. Mean
weight of the study participants was 54.65±10.04 kg. About 71(61.74%)
participants had comorbidities and 49(42.61%) had addiction habits. The
prevalence of malnutrition among the study participants was 12.17% and those at
risk of malnutrition was about 49.56% according to Mini Nutrition Assessment
and the prevalence of obesity was 6.09%, overweight was 18.26%, normal weight
was 61.74% and underweight was 13.91%, based on Body Mass Index in the study
area. There was a statistically significant (p-value <0.05) association
between malnutrition (based on Mini Nutrition Assessment) in elderly and
increasing age; illiteracy; those who were financially dependent population;
those with psychological stress; people with reduced food intake and those
taking < 3 meals per day. Female gender and presence of comorbidities had
statistically significant association (p value <0.05) with obesity based on
BMI. There was a Significant positive correlation between anthropometric
measurements like weight, BMI, mid arm circumference and calf circumference and
MNA scores both short form and full form except for height.
Conclusion: The prevalence of Malnutrition among elderly in present study was
12.17% and more of concern was those at risk of Malnutrition contributed by
49.56%. Establishing Nutrition Centres for older people especially in rural
areas emphasizing on healthy eating and promoting healthy lifestyle would be of
immense help to achieve healthy and graceful aging.
KEYWORDS: Malnutrition,
Elderly, Rural areas, Mini Nutrition Assessment, Body Mass Index