scholarly journals Can mid-upper arm circumference and calf circumference be the proxy measures to detect undernutrition among elderly? Findings of a community-based survey in rural Puducherry, India

2017 ◽  
Vol 6 (2) ◽  
pp. 356 ◽  
Author(s):  
Kalaiselvi Selvaraj ◽  
R Jayalakshmy ◽  
Arjumand Yousuf ◽  
ArvindKumar Singh ◽  
Gomathi Ramaswamy ◽  
...  
2010 ◽  
Vol 65A (10) ◽  
pp. 1107-1114 ◽  
Author(s):  
H. A. H. Wijnhoven ◽  
M. A. E. van Bokhorst-de van der Schueren ◽  
M. W. Heymans ◽  
H. C. W. de Vet ◽  
H. M. Kruizenga ◽  
...  

2020 ◽  
Vol 15 (1) ◽  
pp. 7
Author(s):  
Wahyu Kurnia Yusrin Putra ◽  
Kusharisupeni Kusharisupeni ◽  
Isna Aulia Fajarini

High proportion of unmeasured birth weight as well as its improper documentation has become a problem in developing countries, including Indonesia. In 2017, a total of 9.9% labour were not assisted by health personnel and 43.4% of newborn did not have proper birth record. This condition increases the possibility of undetected low birth weight (LBW) cases. Therefore, this study aimed to determine an alternative measurement of birth weight which able to detect LBW. The study used cross sectional approach to analyse birth records from maternity clinic. A total of 100 records met the inclusion criteria, such as has complete record of birth weight, calf circumference, and mid-upper arm circumference (MUAC) which were measured within fi rst 24 hours of birth. Data was analysed using correlation test, area under curve (AUC), sensitivity, specifi city, positive predictive value (PPV), negative predictive value (NPV) and likelihood ratio. Result showed that calf circumference and MUAC were signifi cantly correlated with birth weight (p <0.001) with r value 0.529 and 0.674 respectively. At cut-off value 10.62 cm, calf circumference had AUC 0.90, sensitivity 66.7%, specifi city 97.9%, PPV 8.2%, NPV 98.2%, likelihood ratio (+) 31.7 and likelihood ratio (-) 0.03. Calf circumference had better performance as alternative measurement of birth weight to detect LBW compared to MUAC.


2021 ◽  
Author(s):  
Ming Chen ◽  
Xiuping Lei ◽  
Tian Zhu ◽  
Qiuxia Li ◽  
Xiaoyan Chen

Abstract ObjectiveOur objective was to understand the prevalence of sarcopenia in schizophrenic patients and to evaluate if calf circumference (CC), mid-upper-arm circumference (MUAC) and Ishii tests can be used to accurately screen for sarcopenia in schizophrenic patients.MethodWe enrolled schizophrenic patients aged 50 or older, who were regularly taking antipsychotic medications, at two mental health centres. Bioimpedance-based muscle-mass was analysed with an InBody 770 instrument, while muscle strength was measured with a digital grip-strength dynamometer. The physical performance of the patients was gauged from their gait speed over 6 m. Standard AWGS2019 diagnostic criteria were used, and the accuracies of the three screening methods were indicated by the sensitivity, specificity, receiver operating characteristic curve, positive predictive values and negative predictive values.ResultsA total of 339 stable schizophrenic patients were enrolled. The overall prevalence of sarcopenia was 53.1%, and the prevalence was, respectively, 55.6% and 47.66% for males and females. The prevalence of sarcopenia obesity in the total population was 16.22%, and that of males and females was 18.97% and 10.28%, respectively.The CC, MUAC and Ishii test sensitivity/specificity in screening for sarcopenia were 78.3%/67%, 76.74%/68.93%, 89.92%/67%, respectively, in males and 92.16 %/69.64%, 74.51%/78.57%, 96.08%/55.36%, respectively, in females. In males, the AUCs of the CC, MUAC and Ishii test were 0.8 (95%CI, 0.744-0.856), 0.78 (95%CI, 0.721-0.84) and 0.88 (95%CI, 0.837-0.922), respectively, and in females, they were 0.893 (95%CI, 0.833-0.953), 0.843 (95%CI, 0.772-0.915) and 0.855 (95%CI, 0.784-0.926), respectively.ConclusionThe incidence of sarcopenia in schizophrenia patients is high. Clinical doctors should screen for sarcopenia in patients with schizophrenia and provide timely interventions to reduce the occurrence of adverse events. The CC, MUAC and Ishii tests are simple and easy-to-use screening tools for sarcopenia in both males and females with schizophrenia.


BMJ Open ◽  
2018 ◽  
Vol 8 (5) ◽  
pp. e020485 ◽  
Author(s):  
Chien-Hsiang Weng ◽  
Chia-Ping Tien ◽  
Chia-Ing Li ◽  
Abby L’Heureux ◽  
Chiu-Shong Liu ◽  
...  

2021 ◽  
pp. 1-12
Author(s):  
Aparna Roy ◽  
T. V. Sekher

Abstract Use of body mass index (BMI) to assess the nutritional status of adolescents requires many resources, especially for country-level assessment. This study aimed to determine the relationship between BMI and mid upper arm circumference (MUAC) among adolescent males and females in India and to examine whether MUAC effectively represents the nutritional status of adolescents. The study utilized anthropometric measurement data collected by India’s National Family Health Survey-4 (2015–16). The weighted sample for analysis included 91,315 female and 14,893 male adolescents. The BMI and MUAC measurements showed a positive correlation in both female and male adolescents. Using BMI-for-age Z-score classifications, 12.7% of the adolescents were undernourished. Using MUAC (in cm) as per NACS (Nutrition Assessment, Counselling, and Support) guidelines and Mramba et al. (2017) classified 22.9% and 3.7% of the adolescents as undernourished respectively. Finally, using the MUAC-for-age Z-score classification, 98.4% of adolescents were determined to be normal and 1.7% undernourished. Sensitivity and specificity tests of the MUAC cut-offs, in comparison with BMI cut-offs, showed that all three MUAC cut-off classifications had high specificity (NACS cut-off: 81.3%; Mramba et al. cut-off (cm): 97.7%; Mramba et al. cut-off (Z-score): 99.1%). The NACS cut-off had moderately high sensitivity (52.2%) but the Mramba et al. cut-offs had low sensitivity (13.3% for the centimetre cut-off and 6.6% for the Z-score cut-off). Sensitivity and specificity tests proved the relationship between BMI and MUAC, and that MUAC represents adolescent nutritional status with considerable efficiency. With further research, it may be established that MUAC is a better and promising measure of adolescent nutrition, having the advantage of needing fewer resources for data collection. The MUAC has the potential to offer a simple and low-resource alternative to BMI to assess nutritional status among adolescents in poor countries.


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