scholarly journals Determining a global mid-upper arm circumference cut-off to assess underweight in adults (men and non-pregnant women)

2020 ◽  
Vol 23 (17) ◽  
pp. 3104-3113 ◽  
Author(s):  
Alice M Tang ◽  
Mei Chung ◽  
Kimberly R Dong ◽  
Paluku Bahwere ◽  
Kaushik Bose ◽  
...  

AbstractObjective:To determine if a global mid-upper arm circumference (MUAC) cut-off can be established to classify underweight in adults (men and non-pregnant women).Design:We conducted an individual participant data meta-analysis (IPDMA) to explore the sensitivity (SENS) and specificity (SPEC) of various MUAC cut-offs for identifying underweight among adults (defined as BMI < 18·5 kg/m2). Measures of diagnostic accuracy were determined every 0·5 cm across MUAC values from 19·0 to 26·5 cm. A bivariate random effects model was used to jointly estimate SENS and SPEC while accounting for heterogeneity between studies. Various subgroup analyses were performed.Setting:Twenty datasets from Africa, South Asia, Southeast Asia, North America and South America were included.Participants:All eligible participants from the original datasets were included.Results:The total sample size was 13 835. Mean age was 32·6 years and 65 % of participants were female. Mean MUAC was 25·7 cm, and 28 % of all participants had low BMI (<18·5 kg/m2). The area under the receiver operating characteristic curve for the pooled dataset was 0·91 (range across studies 0·61–0·98). Results showed that MUAC cut-offs in the range of ≤23·5 to ≤25·0 cm could serve as an appropriate screening indicator for underweight.Conclusions:MUAC is highly discriminatory in its ability to distinguish adults with BMI above and below 18·5 kg/m2. This IPDMA is the first step towards determining a global MUAC cut-off for adults. Validation studies are needed to determine whether the proposed MUAC cut-off of 24 cm is associated with poor functional outcomes.

2018 ◽  
Vol 21 (14) ◽  
pp. 2575-2583 ◽  
Author(s):  
Priyanka Das ◽  
Argina Khatun ◽  
Kaushik Bose ◽  
Raja Chakraborty

AbstractObjectiveTo explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers.DesignCross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2and normal as BMI≥18·5 kg/m2. Besides calculating mean,sdand 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. Theχ2test was used to assess significance of the difference in CED prevalence across MUAC categories.SettingAn urban slum in Midnapore town, West Bengal State, India.SubjectsMale (n467) and female (n488) Indian slum dwellers.ResultsMUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED.ConclusionsResults supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.


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 ◽  
...  

1998 ◽  
Vol 32 (2) ◽  
pp. 112-117 ◽  
Author(s):  
Anamaría E. Ricalde ◽  
Gustavo Velásquez-Meléndez ◽  
Ana Cristina d'A. Tanaka ◽  
Arnaldo A.F. de Siqueira

OBJECTIVE: In order to determine the relationship between some maternal anthropometric indicators and birth weight, crown-heel length and newborn's head circumference, 92 pregnant women were followed through at the prenatal service of hospital in S. Paulo, Brazil. MATERIAL AND METHOD: The following variables were established for the mother: weight, height, mid-upper arm circumference, pre-pregnancy weight, gestational weight gain and Quetelet's index. For the newborn the following variables were recorded: birth weight, crown-heel length, head circumference and gestational age by Dubowitz's method. RESULTS: Significant associations were noted between gestational age and newborn variables. In addition, maternal mid-arm circumference (MUAC) and pre-pregnancy weight were found to be positively correlated to birth weight (r=0.399; r=0.378, respectively). The multivariate linear regression shows that gestational age, mother's arm circumference and pre-pregnancy weight continue to be significant predictors of birth weight. On the other hand, only gestational age and mother's age was associated with crown-heel length. Similarly MUAC was significantly associated with crown-heel length (r= 0.306; P=0.0030). CONCLUSION: Maternal mid-upper arm circumference is a potential indicator of maternal nutritional status. It could be used in association with other anthropometric measurements, instead of pre-pregnancy weight, as an alternative indicator to assess women at risk of poor pregnancy outcome.


2018 ◽  
Vol 24 (8) ◽  
pp. 6203-6205
Author(s):  
Yoga Dwi Oktavianda ◽  
Syahru Ramadhan ◽  
Thalia Mufida ◽  
Ummul Mukminin ◽  
Rima Irwinda

Low birth weight is one of the determinants of infant mortality, morbidity, and disability, which can even have an impact on the future. Several studies have suggested that the condition of low birth weight (LBW) infants is influenced by the lack of maternal nutritional status in early pregnancy. Moreover, the prevalence of malnutrition in Indonesia is still high. Therefore, this study attempted to analyze the relationship of maternal nutritional status in early pregnancy as a predictor of LBW infants. Using a cross-sectional study design, this study involved 62 pregnant patients aged 20–35 years who had antenatal visits and a term delivery at Puskesmas Kecamatan Cakung. The measurements of body mass index (BMI) and mid-upper arm circumference (MUAC) in early pregnancy are used to determine the maternal nutritional status. Pregnant women with BMI <18.5 or MUAC <23.5 cm are considered to have less nutritional status. Meanwhile, LBW infants are defined as babies with birth weight <2500 grams. This study proves that the risk of birth of LBW infants is increased in pregnant women with BMI <18.5 (underweight) (OR 5.37) and less MUAC (OR 20.4).


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.


2016 ◽  
Vol 1 (2) ◽  
pp. 88
Author(s):  
Halimatussakdiah Halimatussakdiah ◽  
Ampera Miko

Maternal Mortality is mostly caused by bleeding (32 %), hypertension during pregnancy (25 %). Infection (5 %), long parturition  5 %),  and chronic energy deficiency (27.66 %). The objective of this research was to find out of correlation Between Maternal  Anthropometry  (Body Weight, Mid Upper Arm Circumference, Fundal Height) And Reflex physiology Of Normal Newborn Babies In delivery room  of Regional Public Hospital Of Meuraxa Banda  Aceh. The research was conducted from September 4 to September 22, 2016. The descriptive  correlation design with cross sectional study approach was used in this research. There were thirty  research sample that were chosen by using accidental sampling method. The result of this research indicated that were was  no correlation between body Weight of pregnant woman with reflex physiology of their normal Newborn Babies In Delivery Room  Of Regional Public Hospital of Meuraxa Banda  Aceh (p Value 0.174). There was a correlation Between Mid Upper Arm Circumference (MUAC) of pregnant women with reflex physiology of their normal Newborn Babies (p Value 0.020). There was also  a correlation between fundal height with reflex physiology of their normal Newborn Babies (p Value 0.000). Based on those result, it is suggest that the pregnant women should pay nurse attention to their health by doing regular check -ups during  pregnancy in order to prevent any complication. It is also suggested that the health worker keep enhancing the medical service, such us the measurement of body weight, MUAC and fundal height. Keywords: Anthropometry, reflex physiology, normal newborn babies


2020 ◽  
Vol 48 (8) ◽  
pp. 030006052093380
Author(s):  
Cosmin Rugină ◽  
Cristina Oana Mărginean ◽  
Lorena Elena Meliţ ◽  
Dana Valentina Giga ◽  
Viviana Modi ◽  
...  

Objective This study aimed to compare energy and macronutrient intake, birth weight, and anthropometric parameters (mid-upper arm circumference or tricipital skin-fold thickness) between women who had adequate and excessive gestational weight gain (GWG) during pregnancy. Methods We studied 115 pregnant women and divided them according to GWG into two groups: adequate GWG (n = 49) and excessive GWG (n = 66). We assessed the medical history, clinical examinations, and dietary habits through a detailed 7-day dietary recall using myfitnesspal software. Results Weight, body mass index, mid-upper arm circumference, and tricipital skin-fold thickness were significantly higher at the time of delivery in women with excessive GWG compared with those with adequate GWG. A lipid-based diet was a risk factor for excessive GWG (relative risk: 1.488, 95% confidence interval: 1.112–1.991), whereas a protein-based diet was a protective factor (relative risk: 0.6723, 95% confidence interval: 0.4431–1.020). We found no significant relationship between a carbohydrate-based diet and GWG. The total energy intake was significantly higher in the excessive GWG group than in the adequate GWG group. Conclusions Mainly a lipid-based diet in pregnant women might represent a risk factor for excessive GWG. However, a protein-based diet is a protective factor for excessive GWG.


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