Assessment of nutritional status using anthropometric variables by multivariate analysis

Abstract

Background Undernutrition is a serious health problem and highly prevalent in developing countries. There is no as such confirmatory test to measure undernutrition. The objective of the present study is to determine a new Composite Score using anthropometric measurements. Composite Score was then compared with other methods like body mass index (BMI) and mid-upper arm circumference (MUAC) classification, to test the significance of the method. Methods Anthropometric data were collected from 780 adult Oraon (Male = 387, Female = 393) labourers of Alipurduar district of West Bengal, India, following standard instruments, and protocols. Nutritional status of the study participants were assessed by conventional methods, BMI and MUAC. Confirmatory factor analysis was carried out to reduce 12 anthropometric variables into a single Composite Score (C) and classification of nutritional status was done on the basis of the score. Furthermore, all the methods (BMI, MUAC and C) were compared and discriminant function analysis was adopted to find out the percentage of correctly classified individuals by each of the three methods. Result The frequency of undernutrition was 45.9% according to BMI category, 56.7% according to MUAC category and 51.8% according to newly computed Composite Score. Further analysis showed that Composite Score has a higher strength of correct classification (98.7%), compared to BMI (95.9%) and MUAC (96.2%). Conclusion Therefore, anthropometric measurements can be used to identify nutritional status in the population more correctly by calculating Composite Score of the measurements and it is a non-invasive and relatively correct way of identification.

Evaluation of Nutritional Status of Chronic Kidney Disease Patients Undergoing Hemodialysis

“…Anthropometric measurement was done. 15 In the present study, according to WHO BMI classification, 16 between 18.5 to 24.9 and 17% had BMI less than 18.5. 17 In contrast to our study, a hospitalbased study was carried out by Hajira et al in Rehman Medical Institute, Peshawar, Pakistan which showed that 54% of the hemodialysis patients had low BMI indicating malnutrition.…”

“…19 Recent study (2019) done by Bhattacharya and her colleagues in West Bengal, India also strongly support our study in which she had shown that 42.9% of male and 70.2% of female had malnutrition on the basis of MUAC. 15 In the present study 56.6% of the patients had low serum albumin i.e., below 3.5gm/ dl and 43.4% of the patients had normal serum albumin level (3.5-5.5 gm/dl). Similar observation was documented previously in some parts of China by Zhang et al in which they had reported 53.72% of CKD patients with albumin level below 3.5 gm/dl.…”

Does Fibre-fix provided to people with irritable bowel syndrome who are consuming a low FODMAP diet improve their gut health, gut microbiome, sleep and mental health? A double-blinded, randomised controlled trial

“…90 Body mass index (BMI) and waist/hip ratio will be calculated. 91 Percentage of lean and fat mass will be obtained using the BOD POD (Cosmed, Rome, Italy), an Air Displacement Plethysmograph using whole body densitometry, to determine body composition (fat vs lean % fat mass), 92 and conducted following manufacturer protocols for measurement. This will require subjects to fast for 8 hours prior to testing and wear tightly fitted gym clothes for measurement.…”

Assessing malnutrition in pregnant women using the Dietary Diversity Score and the Mid-Upper Arm Circumference: A cross-sectional study, Zambia

“…Nutritional status of a woman is important for positive pregnancy outcome (1,2) . The nutritional status can be assessed using different parameters, one of them being the Mid-upper arm circumference (MUAC) (2)(3)(4) , a simple measurement used to evaluate the nutritional status of an individual (5,6) and serves as a surrogate of the body mass in pregnant women (7). The MUAC is one of the most effective ways of determining short term change in the nutritional status of an identi ed population (8).…”