Assessment of Nutritional Risk and Its Associated Factors among Elderly Women of Old Age Homes of South Suburban Kolkata, West Bengal, India
Published: February 1, 2014 | DOI: https://doi.org/10.7860/JCDR/2014/.4024
Santanu Saha, Ayan Basu, Santanu Ghosh, Arghya Kusum Saha, Upasana Banerjee
1. Assistant Professor, Department of General Medicine, Bankura Sammilani Medical College, Bankura, India.
2. RMO cum Clinical Tutor, Department of Tropical Medicine, School of Tropical Medicine, Kolkata, India.
3. Assistant Professor, Department of Community Medicine, Bankura Sammilani Medical College, Bankura, India.
4. Social Worker, Diploma in Social Work & Community Services, National Council of Education, Bengal, Jadavpur University, Kolkata, India.
5. Applied Nutrition (AIIH & PH), Nutritionist, NRHM, Burdwan, Panagarh, India.
Correspondence
Dr. Santanu Saha,
Nilanjana Apartment 182/1, Block A, Bangur Avenue City, Kolkata-700055, West Bengal, India.
Phone: 09830321254, E-mail: Santanu0129@gmail.com
Background: Different physiological, social and psychological factors contribute to nutritional risk in elderly population. Elderly women residing at old age homes are particularly susceptible.
Objectives: To find out psychological and financial factors, if any, associated with malnutrition and risk of malnutrition.
Methods: A cross sectional descriptive study was conducted on 200 residents belonging to > 65 years age group of nine old age homes selected randomly among eighteen old age homes located at south suburban areas of Kolkata from September 2010 to April 2011 using a pre-designed, pilot tested schedule containing Mini Nutritional Assessment (MNA) Scale and Geriatric Depression Scale (GDS). Intergroup comparison was performed using chi-square test.The study was approved by Institutional Ethics Committee of All India Institute of Hygiene & Public Health, Kolkata,India. Written informed consent was taken from each study participant.
Results: Among 158 ‘possibly malnourished’ women, 114 (57%) were ‘at risk of malnutrition’ and 44 (22%) were malnourished according to MNA. Psychological stress was present among 44% of ‘at risk of malnutrition’ and 56% ‘malnourished’ population (df=1, x2= 28.852, p<0.001). About 77% of women having moderate depression were ‘at risk of malnutrition’ whereas 52% of women having severe depression were ‘malnourished’ (df =2, x2= 23.769, p<0.001).
Conclusion: High proportion of ‘at risk malnutrition’ and ‘malnutrition’ associated with presence of psychological stress and different grades of depression were the major areas of concern.
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