ABSTRACT
Context: Health of the elderly will be an important issue in defining the health status of a population in coming years. There is a paucity of information with regard to quality of life (QOL) among malnourished elderly. Aims: To assess the QOL among malnourished elderly in a rural field practice areas of tertiary care hospital, Puducherry, and to find the sociodemographic factors associated with QOL among malnourished elderly population. Settings and Design: A community?based cross?sectional study in the rural field areas of Government Medical College of Puducherry. Subjects and Methods: After obtaining ethical approval, the study was conducted among 225 malnourished elderly (>60 years) from April to June 2019 using multistage random sampling technique. Sociodemographic data were obtained using a semistructured questionnaire. Malnutrition was screened using Mini Nutritional Assessment Short Form and QOL was assessed using World Health Organization QOL?BREF questionnaire. Results: The mean and standard deviation of the study participants’ age was 69.89 + 6.3 years. 57.8% of them were female, 81.3% were unemployed, and 73.3% were dependent on their old age pension for their livelihood. QOL of malnourished elderly was poor in all the domains when compared to those without malnourished and this is found to be statistically significant. In binomial logistic regression analysis, the presence of comorbidity (adjusted odds ratio [AOR]: 2.4 and 95% confidence interval: 1.3–4.4), unemployed (AOR: 4.8; 1.4–15.9), and living without family (AOR: 0.2; 0.06–0.7) revealed the statistically significant association with low QOL score among malnourished elderly. Conclusions: The mean score of QOL among malnourished elderly was below average in all four domains in which psychosocial domain was badly affected.
ABSTRACT
This cross sectional study was conducted to determine the validity of three screening tools, Mini Nutritional Assessment Short Form (MNA-SF), Malnutrition Risk Screening Tool for Community (MRST-C) and Malnutrition Risk Screening Tool for Hospital (MRST-H) among elderly people at health clinics. The screening tools were validated against anthropometric and functional assessments. The anthropometric assessments that were carried out included body weight, height, arm span, body mass index (BMI), calf circumference (CC) and mid upper arm circumference (MUAC). A set of questionnaire on manual dexterity, muscular strength, instrumental activities daily living (IADL) and cognitive status was used to assess functional abilities. A total of 156 subjects were recruited from rural (38 subjects) and urban (118 subjects) health clinics at Sabak Bernam and Cheras respectively. Subjects’ age ranged from 60 to 83 years old, with 44.2% were men and 55.8% women. The prevalence of muscle wasting among the subjects assessed from MUAC and CC were both 7.0%. MNA-SF had the highest correlation with BMI (r = 0.497, p<0.001), followed by MUAC (r = 0.398, p<0.001), CC (r = 0.473, p<0.001), cognitive assessment (r = 0.229, p<0.001) and handgrip strength (r = 0.209, p<0.001). Whilst MRST-C had the highest correlation with IADL score (r = -0.320, p<0.001) and MRST-H had the highest correlation with the lock and key test (r = -0.325, p<0.01). Sensitivity was the highest for MNA-SF (93.2%), followed by MRST-H (52.5%) and MRST-C (25.8%). Specificity was the highest for MRST-H (97.3%), followed by MRST-C (90.8%) and MNA-SF (79.4%). Positive predictive value (PPV) for MRST-H, MNA-SF and MRST-C was 55.5%, 18.2% and 14.1%, respectively. In conclusion, among the screening tools being validated, MNA-SF is considered the most appropriate tool to be used in health clinics for identification of elderly individuals who are at high risk of malnutrition.