scholarly journals Derivation of MUAC cut-off to identify undernourished 1-6 months old infants

2018 ◽  
Vol 5 (6) ◽  
pp. 2217 ◽  
Author(s):  
Ramamani D. ◽  
Suganya E.

Background: Under nutrition is the major public health problem in our country. There are numerous anthropometric methods, one of which is mid upper arm circumference (MUAC). MUAC cut-off classify the nutritional status of the children aged between 6-60 months. However, there is no specific cut-off for MUAC to identify the undernourished infants aged between 1-6 months. With the above background study was planned with the following objectives. Objectives of this study were to classify the nutritional status of 1-6 months aged infants using WLZ classification and to derive a cut off value for Mid upper arm circumference, to define under nutrition/wasting among 1-6 months aged infantsMethods: The cross-sectional study was carried out among 706 infants aged between 1-6 months. Nutritional status was assessed using WLZ. Various MUAC was tested against WLZ of <-2, in order to identify the cut-off below which, the infant will be considered undernourished.Results: Mean age of the participants was 96±55 days. Mean weight, length and mid upper arm circumference was 4.75±1.02 kg, 58.51±4.47 cm and 12.15±3.01cm respectively. MUAC cut-off <13.5 cm has yielded highest youden index, accuracy and sensitivity of 0.36, 0.79,99% respectively. The total area under ROC curve is 0.707 [95% CI: 0.66, 0.74; p<0.0001], having a good diagnostic accuracy and it is statistically significant.Conclusions: A MUAC cut-off value below 13.5 cm, among 1-6 months aged infants will be considered to be undernourished.

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
David Franli ◽  
Makmur Sitepu ◽  
Hotma Partogi Pasaribu ◽  
Sake Juli Martina

Introduction. Chronic energy deficieny (CED) is a condition of a body characterized by low body weight and low energy stores, possibly limited physical capacity due to deprivation of food over a long period time. Ministry of Health ( Kemenkes) showed that in 2015, 305 out of 100.000 death of pregnant women is realated to malnutriotion and CED. Objective. The aim of this study is to determine the overview of pregnant women nutritional status based on mid-upper arm circumference (MUAC) in Sundari Medan General Hospital. Method. The study was an observational descriptive study with a cross sectional design. The samples of this study consists of pregnant women from Sundari Medan Genaral Hospital, who had fulilled the inclusion and esclusion criteria by total sampling. Results.. Among 60 samples, the prevalance of Non-CED woman (85%) was found higher than the mild malnutrition (15%). Conclusion. Prevalance of CED pregnant women was found higher in risky age, middle educated and high income family.  


2020 ◽  
Vol 11 (07) ◽  
pp. 912-925
Author(s):  
Sebean Mayimbo ◽  
Clara Maphosa Haruzivishe ◽  
Concepta Kwaleyela ◽  
Bwembya Phoebe ◽  
Ellen Chirwa ◽  
...  

2020 ◽  
pp. 1-10
Author(s):  
Binyam Girma Sisay ◽  
Demewoz Haile ◽  
Hamid Yimam Hassen ◽  
Seifu Hagos Gebreyesus

Abstract Objective: To evaluate the performance of mid-upper arm circumference (MUAC) to identify thinness in the late adolescence period (aged 15–19 years) in Ethiopia. Design: We conducted a school-based cross-sectional study. The receiver operating characteristics curve was used to examine the validity of MUAC compared with BMI Z-score to identify adolescents with thinness (BMI Z-score <−2 sd). Settings: Fifteen high schools (grade 9–12) located in Addis Ababa, Ethiopia. Participants: A total of 851 adolescent (456 males and 395 females) were included in the study. Results: The prevalence of thinness and severe thinness among high-school adolescents in Addis Ababa was 9·5 % (95 % CI 7·7, 11·7 %). The overall AUC for MUAC against BMI Z-score <−2 SD was 0·91 (95 % CI 0·88, 0·93). The optimal MUAC cut-offs to identify thinness were 23·3 cm for males and 22·6 cm for females. These cut-off points give high sensitivity and specificity for both males (a sensitivity of 87·9 % and a specificity of 75·9 %) and females (a sensitivity of 100 % and a specificity 88·2 %). Conclusions: MUAC has a comparable level of accuracy with BMI Z-score to identify thinness in adolescents aged 15–19 years. Hence, MUAC could be used as an alternative tool for surveillance and screening of thinness among adolescents aged 15–19 years. The optimum cut-off proposed by this study may incorrectly include a large number of adolescents when used in a relatively well-nourished population. In this situation, it would be necessary to choose a cut-off with greater positive predictive value.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Asmita Shrestha ◽  
Chet Kant Bhusal ◽  
Binjwala Shrestha ◽  
Kiran Dev Bhattarai

Background. Malnutrition is a major public health problem and most enveloping cause of morbidity and mortality among children and adolescents throughout the world. This study was aimed at assessing the nutritional status and associated factors among 6-10-year-old children in selected earthquake-affected areas of Gorkha district, Nepal. Methods. A community-based cross-sectional study among 420 mothers having children of age groups 6-10 years (with anthropometric measurement among children) was conducted using a mixed method in selected earthquake-affected areas of Gorkha district, Nepal, from October 2015 to April 2016. Gorkha was selected purposively from 14 earthquake-affected districts. Two village development committees were selected randomly among 6 having severe impact. Randomly, 5 wards were selected from each of the 2 village development committees. As the sample was 420, 42 children were selected randomly from every ward. Result. Among the 420 children, 31.9% were underweight, 51.9% were stunted, and 2.9% were wasted after the earthquake. Children who were more prone to being underweight were the following: male children (RR=1.34 95% CI: 1.01-1.78) and children from illiterate mothers (RR=2.49, 95% CI: 1.85-3.36), illiterate fathers (RR=1.73, 95% CI: 1.32-2.27), and homemaker mothers (RR=0.28, 95% CI: 0.20-0.38); children whose families were using nonimproved sources of water (RR=2.60, 95% CI: 1.07-6.60); and households having food insecurity (RR=12.97, 95% CI: 3.29-51.18). Similarly, children of illiterate fathers (RR=1.67, 95% CI: 1.41-1.97), children of illiterate mothers (RR=2.32, 95% CI: 1.91-2.83), children of homemaker mothers (RR=0.59, 95% CI: 0.49-0.70), children whose family were using treated water (RR=0.32, 95% CI: 0.15-0.67), and children from food insecure households (RR=10.52, CI: 4.05-27.33) were found to be stunted. After adjustment, children from households consuming nonimproved water were 6 times more likely (OR=6.75; 95% CI: 1.59-28.62) to be wasted. Conclusion. Illiterate mothers, illiterate fathers, mothers engaged in occupation other than household work, and food insecure households were found to be independent predictors of underweight and stunting. Nonimproved source of drinking water was found to be independent predictors of wasting.


2021 ◽  
Vol 11 (2) ◽  
pp. 331-335
Author(s):  
Surendra Nath Soren ◽  
Partha Sarathi Sahu

: Mid upper arm circumference (MUAC) is considered as a good indicator of maternal nutritional status in pregnant women. Very few studies have been done to establish a relationship between MUAC and birth weight of newborn. This study was carried out to analyze the relationship between MUAC and birth weight of newborn in a tertiary health care facility.This cross sectional study was conducted in 240term pregnant women. MUAC was measured to the nearest millimeters using a non-stretchable tape at the midpoint between acromian process and olecranon process. Newborn baby weight was measured within 24 hrs of birth. The association between MUAC and birth weight was established by linear regression analysis.The mean of MUAC among pregnant women delivering LBW was 21.68±2.27 cm which was significantly low (p&#60;0.001) compared to women delivering normal babies (23.47±2.56 cm). There wasa positive correlation(r=0.32;p&#60;0.05)between MUAC and birth weight of newborn.The cut off value of MUAC for the prediction of LBW in our study was found to be 22.59 cm with 62.77% sensitivity and 71.55% specificity.Among the various maternal factors for the prediction of LBW, mid-upper arm circumference (MUAC) can be correlated with birth weight outcome effectively.


2020 ◽  
Author(s):  
Sebean Mayimbo ◽  
Clara Maphosa Haruzivishe ◽  
Concepta Kwaleyela ◽  
Phoebe Bwembya ◽  
Ellen Chirwa ◽  
...  

Abstract Background One of the easiest and effective ways of predicting under nutrition is to use the Dietary Diversity Score (DDS) and the mid-upper arm circumference (MUAC). The dietary diversity score is a qualitative measure of food consumption reflecting an individual’s access to different food items and therefore is a proxy indicator of the nutritional status. The aim of the study was to assess whether the DDS and MUAC can be used to assess the nutritional status of pregnant women attending antenatal. Methods A cross-sectional survey was conducted at Chilenje level I Hospital in a township located in Lusaka city, Lusaka province. The study employed quantitative methods to collect and analyse data on the dietary patterns and if this can be used to assess the nutritional status of individuals 24 hours preceding the survey. Health facilities were selected using random sampling method and systematic sampling method was used to select a sample of 299 pregnant women. An interview schedule was used to collect data. Logistic regression was used to establish associations between DDS and MUAC. Results In this study, 44% of the women were in the lowest dietary diversity category, which indicates inadequate nutrient intake, 31% in the medium category and 24% in the high intake. Maternal weight was associated with a 0.08 cm increase in MUAC (95% CI; 0.74 – 0.93) and this was statistically significant. Marital status and age (95% CI; 0.83 – 0.93) were significantly associated with an increase in MUAC in the univariate analysis but when adjusted for other confounders this was not significant (95% CI; 0.81 – 1.00). Consumption of organ meat was associated with a 0.21cm increase in MUAC (95% CI; 0.04 - 0.97). Conclusion The study results indicated that 44% of the women had inadequate nutrient intake, indicating that the dietary diversity score can be used to predict malnutrition in pregnant women. The mid upper was negatively correlated with the 24hour dietary diversity score implying that we might not rely on this measurement to assess the nutritional status. Key words Dietary Diversity Score, Malnutrition, Mid Upper Arm Circumference, Pregnant women, Antenatal.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Juhar Admama Bamud ◽  
Afework Mulugeta Bezabih ◽  
Fentaw Wassie Feleke ◽  
Getahun Fentaw Mulaw

Random upper arm circumference (RUAC) is frequently used for malnutrition screening among children aged 6–59 months. However, inadequate evidence exists regarding its agreement with mid upper arm circumference (MUAC). This study examined diagnostic concordance between RUAC and standard MUAC measurements and tested RUAC’s ability for screening malnutrition among children aged 6–59 months. A cross-sectional study was conducted from April 30 to May 30/2015 in Ethiopia. Data were taken from a sample of 819 children aged 6–59 months with a simple random sampling technique. The data were analyzed using SPSS version 22 software. The kappa agreement level, sensitivity, and specificity were calculated. The receiver operating curve was prepared to determine the optimal cutoff RUAC for the sensitivity and specificity. With National Center for Health Statistics (NCHS) cutoff (12 cm), the performance of RUAC measurements in terms of sensitivity was low (44%). The kappa agreement level between the two measurements was 0.551 ( p value < 0.001). With the new WHO cutoff (12.5 cm), however, RUAC was improved in validity (sensitivity 81%), specificity 96.9%, and kappa agreement level (K = 0.807; p < 0.001 ).


2020 ◽  
Vol 60 (1) ◽  
pp. 42-52
Author(s):  
Stephanie Adelia ◽  
Johannes Capistrano Susanto

Background Severe malnutrition in Indonesia remains abundant. Severe malnutrition has been assessed by several methods, including mid–upper arm circumference (MUAC) and weight-for-height z-score (WHZ). As a screening method, MUAC is expected to be useful for identifying malnutrition in communities. Objective To determine whether MUAC measurements can be used for screening severe malnutrition at the community level in Indonesia. Method A cross-sectional study was conducted in 853 children aged 6 – 59 months who came to an  integrated health service post (Posyandu) in Semarang, Central Java. Anthropometric measurements were performed by cadres and researchers and included MUAC and WHZ. Statistical analysis was done by McNemar test; results with P values >0.05 indicated no significant difference. Sensitivity and specificity were determined by 2 x 2 tables. The MUAC cut-off values were determined by receiver-operating characteristic (ROC) curve. Results Eight hundred fifty-three out of 1,115 children met the inclusion criteria, consisting of 419 (49.1%) boys, with most over the age of 2 years (57.2%). Kappa test revealed good inter-rater reliability in measurements between the cadre and researchers (Kappa=0.726). There were significant differences between MUAC (by cadres) and below red line status as well as WHZ, between MUAC (by researchers) and WHZ, as well as MUAC (by cadre and researchers) with WHZ and height-for-age z-score/HAZ . Sensitivity, specificity, PPV, and NPV of MUAC (by cadre) were 12.5%, 99.9%, 75%, and 97.5%, respectively, while those by the researchers were 16.7%, 99.6%, 57%, and 97.6%, respectively. In this study, MUAC of 14 cm was the best cut-off for severe malnutrition. Conclusion The MUAC measurement of 14 cm can be used for screening severe malnutrition in underfives at community.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Margaret Lillie ◽  
Isaac Lema ◽  
Sylvia Kaaya ◽  
Dori Steinberg ◽  
Joy Noel Baumgartner

Abstract Background Adolescence is a critical time of development and nutritional status in adolescence influences both current and future adult health outcomes. However, data on adolescent nutritional status is limited in low-resource settings. Mid-upper arm circumference (MUAC) has the potential to offer a simple, low-resource alternative or supplement to body mass index (BMI) in assessing nutrition in adolescent populations. Methods This is secondary data analysis, from a cross-sectional pilot study, which analyses anthropometric data from a sample of young adolescents attending their last year of primary school in Pwani Region and Dar es Salaam Region, Tanzania (n = 154; 92 girls & 62 boys; mean age 13.2 years). Results The majority of adolescents (75%) were of normal nutritional status defined by BMI. Significantly more males were stunted than females, while significantly more females were overweight than males. Among those identified as outside the normal nutrition ranges, there was inconsistency between MUAC and BMI cut-offs. Bivariate analyses indicate that BMI and MUAC show a positive correlation for both female and male participants, and the relationship between BMI and MUAC was more strongly correlated among adolescent females. Conclusions Further studies are needed with more nutritionally and demographically diverse populations to better understand the nutritional status of adolescents and the practical contribution of MUAC cut-offs to measure adolescent nutrition.


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