Mid-upper Arm Circumference Values Research Articles

Assessment of Nutritional Status in Children Aged 6 to 59 Months Using MUAC: An OPD-Based Study in a Tertiary Children Health Care Centre in Bangladesh

Background: Malnutrition is a major public health concern among children under five years of age in low- and middle-income countries, contributing to high morbidity and mortality. Despite progress, malnutrition remains a significant issue in Bangladesh and is influenced by socioeconomic disparities and maternal education. Mid-Upper Arm Circumference (MUAC) is a practical tool for assessing nutritional status in resource-limited settings. This study aimed to determine the nutritional status of children aged 6–59 months in the outpatient department (OPD) of a tertiary hospital in Bangladesh. Methods: A retrospective observational study was conducted at Department of Pediatrics, MR Khan Shishu Hospital & Institute of Child Health, Dhaka, from January 2010 to January 2011. Data from 200 children aged 6–59 months were analyzed. Nutritional status was classified as normal, moderate or severe based on MUAC values. Associations among demographic factors, maternal education, and malnutrition were also explored. Results: Among the 200 children, 24.5% were malnourished, including 10.5% with severe malnutrition and 14% with moderate malnutrition. Children aged 36–59 months had the highest malnutrition prevalence (29%). Females (21%) were more likely to be malnourished than males (16.5%). Maternal education strongly affected outcomes, with malnutrition being the highest among children of illiterate mothers (47.5%). Conclusion: Gender and maternal education influence the nutritional status of children in Bangladesh. For nutritional assessment, the MUAC is an effective tool that underscores the need for interventions that target these disparities.

Measurement of mid-upper arm circumference to screen for childhood malnutrition: General applicability and use in special populations.

Since the development of consensus-recommended indicators for pediatric malnutrition in 2014, screening and diagnosis of pediatric malnutrition have improved, but the indicators are not always used; malnutrition continues to be underdiagnosed in some community and healthcare settings. In particular, mid-upper arm circumference (MUAC) is underused as a screening indicator for pediatric malnutrition, despite its unique advantages and usefulness in several clinical situations. In December 2022, a scientific roundtable was held to bring together several experts in pediatric malnutrition. One of the goals of the scientific roundtable was to discuss the clinical use of anthropometric measures as screening tools for pediatric malnutrition status, with a focus on the use of MUAC. This article arose from that event and is intended as an educational tool to aid clinicians in implementing MUAC measurements. In addition to describing the use of MUAC as a screening tool, the article discusses several clinical situations in which MUAC is especially useful. Additionally, the article reviews practical aspects of measuring and interpreting MUAC values, provides links to additional educational resources, and briefly reviews areas in which further research is needed regarding the use of MUAC for screening of nutrition status in children.

Small Fish Big Impact: Improving Nutrition during Pregnancy and Lactation, and Empowerment for Marginalized Women.

Undernutrition and micronutrient deficiencies such as anemia are considered significant public health challenges in Bangladesh, which enhancing fish consumption is a well-established food-based intervention to address these. This paper documents the establishment of community-based fish chutney production and reports the impact of its consumption on mid-upper arm circumference (MUAC) and hemoglobin (Hb) levels among targeted 150 pregnant and lactating women (PLW) in rural Bangladesh. A fish chutney was developed using locally available ingredients followed by a series of laboratory tests, including nutrient composition, shelf-life and food safety. A community-based fish chutney production process was designed to: (1) supply locally available ingredients for processing; (2) establish two fish drying sites; (3) initiate a community-based production site; and (4) distribute fish chutney to PLW for one year by six women nutrition field facilitators. Then a pre- and post-intervention study was designed for a selected 150 PLW to receive 30 g of fish chutney daily for 12 months. Differences in mean MUAC and Hb levels pre- and post-consumption were analyzed using one-way analysis of variance. Consumption of 30 g of fish-chutney resulted in significant increases of the mean values of Hb levels and MUAC among the targeted PLW.

Nutrition and Health in Arab Adolescents (NaHAR): Study protocol for the determination of ethnic-specific body fat and anthropometric cut-offs to identify metabolic syndrome.

The prevalence of adolescent obesity in the Middle-East is considered among the highest in the world. Obesity in adolescents is associated with several cardiometabolic abnormalities, the constellation of which is referred to as the metabolic syndrome (MetS). This multi-country cross-sectional study aims to determine the optimal cut-off values for body fat (BF); body mass index (BMI) z-score; waist circumference (WC) percentile, and mid-upper arm circumference (MUAC) for the prediction of MetS among adolescents from Kingdom of Saudi-Arabia (KSA), Kuwait, Jordan, Lebanon and Syria. A secondary objective is to examine the validity of Bioelectrical Impendence Vector Analysis (BIVA) in estimating BF against the deuterium dilution technique (DDL). In each country, a sample of 210 adolescents will be recruited. Data collection will include demographics, socioeconomic, lifestyle and dietary data using a multi-component questionnaire; anthropometric measurements will be obtained and body composition will be assessed using the DDL and BIVA; blood pressure and biochemical assessment will be performed for the identification of the MetS. Receiver operating characteristic analyses will be undertaken to determine optimal cut-off values of BMI, WC, MUAC and BF in identifying those with MetS. Odds ratios (OR) and their respective 95% confidence interval (CI) for the association of the anthropometric measurements with MetS will be computed based on multiple logistic regression analysis models. The Bland and Altman approach will be adopted to compare BIVA against the reference DDL method for the determination of body composition parameters. This study responds to the need for ethnic-specific anthropometric cut-offs for the identification of excess adiposity and associated cardiometabolic risks in the adolescent population. The adoption of the generated cut-offs may assist policy makers, public health professionals and clinical practitioners in providing ethnic-specific preventive and curative strategies tailored to adolescents in the region.

Magnitude of meconium stained amniotic fluid and associated factors among women who gave birth in North Shoa Zone hospitals, Amhara Region, Ethiopia 2022.

The presence of meconium-stained amniotic fluid is one of the causes for birth asphyxia. Each year, over five million neonatal deaths occur worldwide because of meconium-stained amniotic fluid and other causes, of which 90% are due to birth asphyxia. The aim of this study was to assess the magnitude of meconium-stained amniotic fluid and associated factors among women who gave birth in North Shoa Zone Hospitals, Amhara Region, Ethiopia, 2022. An institutional-based cross-sectional study was employed. We used 610 women who gave birth at North Shoa Zone Hospitals, Amhara region, Ethiopia. The study was conducted from June 8 to August 8, 2022. Recruitment for the study was made using a multistage sampling procedure. Fifty percent of the study hospitals were randomly selected, and proportional allocation was done. Participants were selected from the sampling frame, labour and delivery register book, using a systematic random sampling approach. The first person was selected at random, while the remaining individuals were selected at every two "K" intervals across all hospitals. An interview-administered structured questionnaire and chart review checklist were used to gather the data that were entered into Epi-Data Version 4.6 and exported to SPSS. Logistics regression was employed, and a p-value <0.05 was considered statistically significant. The magnitude of meconium-stained amniotic fluid was 30.3%. Women with a normal hematocrit level were 83% less likely to develop meconium-stained amniotic fluid. Women whose mid-upper arm circumference value was less than 22.9cm (AOR = 1.9; 95% CI: 1.18-3.20), obstructed labour (AOR = 3.6; 95% CI: 1.48-8.83), prolonged labour ≥ 15 hr (AOR = 7.5; 95% CI: 7.68-13.3), premature rapture of membrane (AOR = 1.7; 95% CI: 3.22-7.40), foetal tachycardia (AOR = 6.2; 95% CI: 2.41-16.3), and Bradycardia (AOR = 3.1; 95% CI: 1.93-5.28) showed a significant association with meconium-stained amniotic fluid. The present study revealed that the magnitude of meconium-stained amniotic fluid in North Shoa Zone is nearly one-third. A normal hematocrit level is a preventive factor for meconium-stained amniotic fluid, and a MUAC value <22.9 cm, obstructed and prolonged labour, PROM, bradycardia, and tachycardia are factors associated with meconium-stained amniotic fluid.

A comparison of mid-upper arm circumference and weight-for-height Z score of world health organization growth standards in detecting moderate and severe acute malnutrition in children aged 6-60 months

Background: World health organization (WHO) had defined severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) by weight for height Z score (WHZ) and mid upper arm circumference (MUAC) criteria. Several studies indicate discrepancies in the prevalence of malnutrition on using either WHZ or MUAC. The prevalence of SAM was nearly same when using either criterion and only 40% children showed overlapping by using both the criteria. Present study was taken to identify the overlapping of cases by applying both the WHO criteria in children aged 6-60 months. It also identifies the optimal screening cut off values of MUAC if used as a sole criterion. Method: It was a hospital based descriptive cross-sectional study done on 640 cases who were assessed for MAM /SAM by using anthropometric WHO criteria. Results: From 67 SAM cases who were identified by WHZ, only17 cases had SAM on using MUAC too. The sensitivity of MUAC was 25.4% and specificity of 92.0%. From 94 MAM cases, 19 cases showed overlapping by using both the WHO criteria. At MUAC of &lt;13.5 cm, the sensitivity increased to 86.6% for SAM and 81.6% for MAM cases at the cost of decreased specificity which was at around 36% for both the types of malnutrition. Conclusions: The number of malnourished cases, identified by using either of WHO criteria were nearly same but both these criteria detect different subgroups of malnourished children in most cases. A MUAC of &lt;13.5 cm may be used as a sole-criteria in the community by the health workers to detect acute malnutrition.

How Useful are Mid-Arm and Calf Circumferences to Indicate Reduced Muscle Mass in Order to Recognize GLIM-Defined Malnutrition in Elderly Individuals?

The aim of this study was to estimate cutoff values of mid-upper arm circumference (MUAC) and calf circumference (CC) for reduced muscle mass and analyze their accuracy in identifying malnutrition among individuals of 65 years of age or older in Bosnia and Herzegovina. The study is a secondary analysis dataset assessing nutritional risk and malnutrition among 446 community-dwellers and nursing home residents in Bosnia and Herzegovina. Malnutrition assessment included phenotypic criterions (weight loss, low body mass index, and reduced muscle mass) and etiologic criterions (inadequate food intake, disease-related inflammation, or albumin levels) according to recommendations of the Global Leadership Initiative on Malnutrition (GLIM). Receiver operating curves were used to calculate MUAC and CC's cutoff values as compared to the Mini Nutritional Assessment (MNA). The optimal cutoff value for MUAC in men was 24 cm (AUC = 0.910, sensitivity 100%, specificity 77%), and in women 23 cm (AUC = 0.792, sensitivity 64%, specificity 83%). Optimal cutoff value of CC in men was 31 cm (AUC = 0.818, sensitivity 100%, specificity 67%) and in women 29 cm (AUC = 0.882, sensitivity 86%, specificity 74%). Two hundred fifty nine elderly individuals were categorized as malnourished/at risk for malnutrition per MNA. The prevalence of malnutrition based on GLIM criteria ranged from 19% to 30%. The study suggested that MUAC and CC may be used as the alternative indicators of muscle mass when other assessment methods are unavailable. Future validation and reliability studies for GLIM using anthropometric parameters as a proxy of reduced muscle mass are needed.

Do Nutritional Status Parameters such as Body Mass Index &amp; Mid Upperarm Circumference Need to be Taken into Account when Estimating Dental Age? A Cross-sectional study with Tooth Count as Variable

Context: Age estimation is playing a very important role in the criminal justice system and also in the forensic human identifi cation process. Over the past several decades, the scientifi c community has done extensive work on age estimation from biological markers of growth, the dental structure being one among them. The routine dental age estimation methods usually apply the mineralization and/or the eruption parameters of the developing dentition. Certain factors like the nutritional status and the socio-economic status of the individual also may infl uence dental development and eruption. Aim: The objective of the study was to assess the link between the nutritional status and the dentition status of children and adolescents in the age range of 12 to 18 years. Settings and Design: This is a cross-sectional population based, descriptive study. Materials and Methods: The body mass index (BMI) and the mid-upper arm circumference (MUAC) values were measured to assess the nutritional status of the children with a mean age of 14.35 years (± 1.36). The oral examination was done to count the number of teeth present. The tooth count was compared with the BMI and the MUAC values of the children. Results: The mean BMI of the study population was 17.36 Kg/m2 ± 3.40 and the mean MUAC value was 21.53cm ± 2.93. There was a strong positive correlation between BMI and MUAC and a signifi cant diff erence in the deciduous tooth count among the BMI categories. (2 =12.161, df 3, p&lt;0.05). Conclusion: There is no signifi cant association between BMI and deciduous tooth count in the study sample. Key Messages: The BMI and MUAC values are markers of nutritional status in growing children. Though nutritional status has a link with the tooth development, the present study could not establish a signifi cant association between BMI and deciduous tooth count in children in the age range of 12 to 18 years.

The value of mid-upper arm circumference for malnutrition screening in pediatric celiac disease.

Malnutrition rates in pediatric celiac disease (CD) patients range from 20.2% to 67.3%. To investigate the prevalence of malnutrition in pediatric CD patients in Turkey using different anthropometric measurements, including mid-upper arm circumference (MUAC). This prospective study included 124 patients aged 1-18 years with a diagnosis of CD, admitted to the Pediatric Gastroenterology Outpatient Clinic of Adana City Training and Research Hospital, Turkey. The anthropometric measurements, including weight-for-age (WFA) Z-score, height-for-age (HFA) Z-score, body mass index (BMI)-for-age Z-score, MUAC [cm], and MUAC Z-score were calculated. The study analyzed 75 female (60.5%) and 49 male (39.5%) patients with a mean age of 9.83 ±4.1 years. While 44 patients (35.5%) had malnutrition according to their BMI Z-scores, 60 patients (48.4%) had malnutrition based on their MUAC Z-scores. The number of patients with stunting (HFA value below -2) was 24 (19.4%), and the WFA value was below -2 in 27 (21.8%) patients. Furthermore, the BMI Z-score failed to identify chronic malnutrition in 70.9% of patients. There was a positive linear correlation (r = 0.396) between the BMI value and the MUAC value (p < 0.001). However, the degree of agreement between the BMI Z-scores and MUAC Z-scores was weak (κ: 0.300). The MUAC Z-score successfully detected acute and chronic malnutrition and should be included in standard anthropometric measurements at follow-up nutritional assessments in CD patients.

Comparing the validity of anthropometric measurements in identifying malnutrition status of older age people in Borena district, North Central Ethiopia: a cross_sectional study

BackgroundMalnutrition among older age people is becoming significantly higher in spite of improvements in the health care system. Life expectancy of Ethiopian elders is increasing; but reliable and valid tools for screening and diagnosis of malnutrition in this subgroup are limited. This study aimed to assess the validity of anthropometric measurements: Mid Upper Arm Circumference (MUAC), Body Mass Index (BMI), and Calf Circumference (CC) in detecting malnutrition status of older age people in Ethiopia.MethodsA community based cross-sectional study was conducted in Borena District from January to March, 2020. A total of 421 participants aged were systematically included in the study. To test reliability and validity of the measurements,Cronbach’s α coefficient and Pearson’s correlations were used, respectively. The full Mini-Nutritional Assessment (MNA) tool was used to diagnosis malnutrition. Overall accuracy, sensitivity and specificity of BMI, MUAC and CC were estimated using Receiver Operating Characteristic curves. The Youden Index was used to determine the best cut-off point.ResultsThe reliability of BMI, MUAC and CC by Cronbach’s alpha was found 0.847. Significant positive correlations between MNA, BMI(r = 0.56, p < 0.01); MNA, MUAC(r = 0.43, p < 0.01; and MNA, CC(r = 0.52, p < 0.01) revealed. The area under the curve (AUC) of BMI, MUAC and CC were found: 0.98(95% CI, 0.96–0.99, p < 0.001), 0.94(95% CI, 0.89–0.98, p < 0.001) and 0.96(95% CI, 0.94–0.98, p < 0.001) indicating the overall accuracy respectively. The sensitivity and specificity of BMI, MUAC and CC using established cut off points were found: 90%, 96%; 78%, 94% and 84%, 95% respectively. However, using the Youden index the best cut-off point, the sensitivity and specificity of MUAC and CC were 88%, 86%; 92% and 89% respectively and adjusted for age and sex.ConclusionsThe current study demonstrated that BMI was a reliable and valid method to identify the malnutrition status of older age people. A MUAC value of 19 cm and CC of 30 cm were simple and efficient cut-off points for the determination of malnutrition in the older age people. A future study is needed to validate the validity of BMI, MUAC and CC against biochemical tests as gold standard.

Validating the diagnostic performance of MUAC in screening moderate acute malnutrition and developing an optimal cut-off for under five children of different regions in Ethiopia

Valid and reliable anthropometric indicator is useful for early detection and treatment for under nutrition. Although, mid upper arm circumference (MUAC) is used for screening of children with moderate acute malnutrition in Ethiopia, its performance for the different ethnic groups has not been evaluated. To determine the diagnostic performance of MUAC for determination of moderate wasting among children of different ethnic background and develop optimal cut-off. A community based cross-sectional study was conducted among under five children of the three regions namely: Somalia, Amhara and Gambella Regions. The diagnostic performance of MUAC was validated using weight for height Z-score< -2 as a gold standard binary classifier. Test variable is mid upper arm circumference (MUAC< 12.5cm) and weight for height Z-Score (WHZ) is standard variable. ROC analysis performed based on the assumptions of MUAC value lower the cut-off point indicates the undernutrition. Area under the curve and validity measures (sensitivity and specificity) was generated as parameter estimated. The results were presented using tables and ROC curves. Except in the Gambella region, there was fair agreement between MUC<12.5cm and Weight for Height Z score<-2 in diagnosing wasting in Somali (Sensitivity = 29.3%, Kappa = 0.325, P<0.001) and in Gambella regions (Sensitivity = 16.7%, Kappa = 0.19, P<0.001). In Amhara region there was fair agreement between the two measures in diagnosing moderate acute malnutrition (MAM) (Sensitivity = 16%, Kappa = 0.216). For the Overall sample, the sensitivity of MUAC<12.5cm was 20.6% (Kappa = 0.245, P<0.001. Based on ROC analysis, the optimal cutoff value of MUAC for diagnosing moderate acute malnutrition for the two regions namely for Gambella and Amhara was 13.85cm with sensitivity of 0.99 and 1.00, respectively. However, for Somali Region the optimal cut was 13.75cm (Sensitivity = 0.98 cm and specificity = 0.71). Findings revealed that the inter reliability of measurement for MUAC< 12.5cm and WHZ<-2 for diagnosing MAM was low among different ethnic groups with the cut-off varying in each region. The existing cutoff point is less sensitive for diagnosis of MAM. As Ethiopia is home of diverse ethnic groups with different body frame and environmental conditions, the new cut off points developed for each region recommended to be used for screening moderate acute malnutrition to prevent relapse of MAM and reduce chronic malnutrition.

Evaluation of Nutritional Characteristics Reveals Similar Prevalence of Malnutrition in Patients with Ulcerative Colitis and Crohn's Disease.

Inflammatory bowel disease (IBD) is associated with an increased risk of malnutrition and sarcopenia. To evaluate the nutritional status of patients with IBD and determine the threshold values of different parameters of nutritional assessment to identify malnutrition. This was a single-centre cross-sectional analysis of adult patients with IBD [ulcerative colitis (UC) and Crohn's disease (CD)] who underwent anthropometry [body mass index (BMI), mid upper arm circumference (MUAC) and triceps-fold thickness (TSF)], body composition analysis and assessment for sarcopenia [hand-grip strength and skeletal muscle index (SMI) at L3 vertebral level)]. Age- and gender-matched healthy adults served as controls. Malnutrition was defined according to the European Society of Clinical Nutrition and Metabolism (ESPEN) criteria. A total of 406 patients [336 (82.76%) UC and 70 (17.24%) CD; mean age 40.56 ± 13.67years; 215 (52.95%) males] with IBD and 100 healthy controls (mean age 38.69 ± 10.90years; 56 (56%) males) were enrolled. The mean BMI, MUAC, TSF thickness, fat and lean mass, hand-grip strength, and SMI at L3 vertebral level were lower in patients with IBD compared to controls. The prevalence of malnutrition was similar in UC and CD [24.40% (n = 82) and 28.57% (n = 20), respectively (p = 0.46)]. Thresholds for fat mass in females (15.8kg) and visceral fat index in males (0.26) were both sensitive and specific to detect malnutrition. The cutoff values of MUAC and TSF thickness to identify malnutrition were 23.25cm and 25.25cm, and 16.50mm and 8.50mm, in females and males, respectively. Malnutrition and sarcopenia were common in patients with IBD, with the prevalence being similar in patients with both UC and CD.

Handgrip strength: Best practice for a rapid nutrition screening and risk stratification in male patients with alcoholic liver cirrhosis, a classification and regression tree analysis study.

Rapid nutrition screening (NS) is vital for apt management in patients with alcoholic liver cirrhosis (ALC). To identify a quick method of NS having high reliability and prognostic significance. NS of patients with ALC was assessed using mid-upper arm circumference (MUAC), handgrip strength (HGS), fat-free mass index (FFMI), and the Royal Free Hospital-Global Assessment (RFH-GA). Baseline clinical and biochemical information were recorded along with 90-day survival data. The classification and regression tree method was used to classify HGS, MUAC, and FFMI values as well nourished (WN), moderately malnourished (MM), and severely malnourished (SM), and their concordance with RFH-GA categories was assessed using Kendall tau-b coefficient. The prognostic proficiency of each method was tested by Cox regression analysis. According to the RFH-GA, of 140 male patients with ALC, 13 of 140 (9.3%) were WN, 93 of 140 (66.4%) were MM, and 34 of 140 (26.8%) were SM. HGS has the strongest association with the RFH-GA (Kendall tau-b = 0.772; diagnostic accuracy -81.4%). HGS was found to be the independent predictor of 90-day mortality (26 of 140 [18.6%]; hazard ratio, 0.93; 95% CI, 0.88-0.98; P = 0.002) after adjusting for age, body mass index, and disease severity. The hazard of mortality was 8.5-times higher in patients with ALC with HGS < 22 kg as compared with those with HGS > 29. HGS is a reliable tool for rapid NS. HGS < 22 kg suggests a high risk for severe malnutrition and is strongly associated with short-term mortality in male patients with ALC.

EVALUATING THE IMPACT OF EARLY NUTRITIONAL ASSESSMENT AND INTERVENTION IN HOSPITALIZED LIVER CIRRHOSIS PATIENTS.

Malnutrition is common in liver cirrhosis patients that is correlated with early complications, morbidity and mortality. The purpose of the study was to assess nutritional status, impact of nutritional screening and intervention in liver cirrhosis patients by evaluating their actual energy and protein intake during hospital stay. A cross sectional study was conducted wherein all patients' nutritional status was defined by Subjective Global Assessment tool. Adequate energy and protein supply were planned and executed by using individualized nutritional plan for patients with dietitian's collaboration. Anthropometric measurements included height, weight, body mass index, mid upper arm circumference, hand grip strength and triceps skin-fold thickness. Biochemical tests included haemoglobin, mean corpuscular haemoglobin, volume and concentration, albumin and liver function tests. To record the daily food intake, a 24-hour dietary recall was used. Overall 83 patients (mean age 55) were included, among them 46% of patients were moderately malnourished, 12% were normal, while 42% of cirrhotic patients were severely depleted according to Subjective Global Assessment. The mean intake of calories and protein was improved during stay in hospital after nutritional intervention and critical monitoring (P<0.05). Anthropometric measurements at baseline and discharge showed significant differences (P <0.05) in weight, body mass index, triceps skin fold thickness and mid upper arm circumference values, but not in hand grip strength that was associated with malnourishment among patients. Providing individualized nutritional intervention and its monitoring by qualified dietitians during hospital stay helps to improve intake in patients that prevent further risk of malnutrition and related complications.

Validating mid-upper arm circumference (MUAC) cut off points as an indicator of nutritional status among nine tribal populations of India

Mid-upper arm circumference (MUAC) is an alternative anthropometric measurement to assess undernutrition but a universally accepted cut-off is yet to be established. The objectives of the present study are to determine whether the proposed sex-specific global cut-offs are suitable across several tribes in India. This cross-sectional study was conducted among nine tribal populations in India (1046 males, 1087 females). Weight, height and MUAC values were obtained, and body mass index (BMI) was calculated. The BMI cut-off (&lt;18.5 kg/m2) was used to determine chronic energy deficiency (CED). The ROC Curve analyses of binomial logistic regression for MUAC versus CED revealed optimal cut-off point of MUAC as 23.8 cm (in males) and 21.8 cm (in females). MUAC cut-offs were similar in females, relative to males, in all tribes. Males with MUAC&lt;24cm and females with MUAC&lt;22 encompassed significantly higher numbers of CED than those with MUAC≥24 and ≥22 cm, respectively (χ2-value males: 254.9, p&lt;0.001; females: 493.60, p&lt;0.01). A single cut off point of MUAC may not be universally applicable for diverse populations and both sexes as well. It seemed that there is no alternative than to undertake further validation studies in various populations before using the MUAC cut off to identify undernourished or CED condition.

Assessing the role of mid upper arm circumference in identification of low birthweight and wasting in early infancy in India.

We conducted this study to examine the mid upper-arm circumference (MUAC) of full-term infants from birth to 6 months; construct gender-specific MUAC graphs; and assess the role of MUAC as a surrogate marker for low birthweight and wasting in infants younger than 6 months. This is a prospective longitudinal study of 268 (133 female and 135 male) new-borns in a tertiary care centre in Navi Mumbai, India. We measured weight, length, head circumference and MUAC. We drew the MUAC curves for the first 6 months using the mean MUAC and standard deviation (SD) values and assessed the diagnostic test properties of MUAC at birth as a marker of low birthweight. The mean (SD) birthweight of the male and female new-borns was 2756.2g (368.1) and 2803.8g (326.2), respectively (P=0.25). The mean (SD) MUAC at birth was 8.7 (0.3) cm in males and 8.8 (0.2) cm in females, respectively (P=0.14). The plotted mean MUAC curve in infants who were classified with wasting was between the -1SD and -2SD in both genders. The sensitivity and NPV for detecting low birthweight were 100% at cut-off of 8.6cm in females and 8.7cm in males, respectively (area under the curve: 0.92 (females) and 0.96 (males)). MUAC may be a good proxy for low birthweight at birth and the curves from our study show that it may also help in the diagnosis of wasting in infants below 6 months of age in the community, particularly in resource-constrained settings.

A Microbiota-Directed Food Intervention for Undernourished Children

BackgroundMore than 30 million children worldwide have moderate acute malnutrition. Current treatments have limited effectiveness, and much remains unknown about the pathogenesis of this condition. Children with moderate acute malnutrition have perturbed development of their gut microbiota.MethodsIn this study, we provided a microbiota-directed complementary food prototype (MDCF-2) or a ready-to-use supplementary food (RUSF) to 123 slum-dwelling Bangladeshi children with moderate acute malnutrition between the ages of 12 months and 18 months. The supplementation was given twice daily for 3 months, followed by 1 month of monitoring. We obtained weight-for-length, weight-for-age, and length-for-age z scores and mid–upper-arm circumference values at baseline and every 2 weeks during the intervention period and at 4 months. We compared the rate of change of these related phenotypes between baseline and 3 months and between baseline and 4 months. We also measured levels of 4977 proteins in plasma and 209 bacterial taxa in fecal samples.ResultsA total of 118 children (59 in each study group) completed the intervention. The rates of change in the weight-for-length and weight-for-age z scores are consistent with a benefit of MDCF-2 on growth over the course of the study, including the 1-month follow-up. Receipt of MDCF-2 was linked to the magnitude of change in levels of 70 plasma proteins and of 21 associated bacterial taxa that were positively correlated with the weight-for-length z score (P<0.001 for comparisons of both protein and bacterial taxa). These proteins included mediators of bone growth and neurodevelopment.ConclusionsThese findings provide support for MDCF-2 as a dietary supplement for young children with moderate acute malnutrition and provide insight into mechanisms by which this targeted manipulation of microbiota components may be linked to growth. (Supported by the Bill and Melinda Gates Foundation and the National Institutes of Health; ClinicalTrials.gov number, NCT04015999.)

A Model for Determining Predictors of the MUAC in Acute Malnutrition in Ghana.

The issue of malnutrition is perhaps the most important public health determinant of global wellbeing. It is one of the main causes of improper mental and physical development as well as death of many children. The Mid Upper Arm Circumference (MUAC) rapid text setup is able to diagnose malnutrition due to the fact that the human arm contains subcutaneous fat and muscle mass. When proportional food intake increases or reduces, the corresponding increase or reduction in the subcutaneous fat and muscle mass leads to an increase or decrease in the MUAC. In this study, the researchers attempt to develop a model for determining the performance of MUAC in predicting Child malnutrition in Ghana. It focuses on the Joint Generalized Linear Model (Joint-GLM) instead of the traditional Generalized Linear Model (GLM). The analysis is based on primary data measured on children under six years, who were undergoing nutritional treatment at the Princess Marie Louise (PML) Children’s Hospital in the Ashiedu Keteke sub-metro area of Accra Metropolis. The study found that a precisely measured weight of a child, height, and albumen levels were positive determinants of the predicted MUAC value. The study also reveals that, of all the variables used in determining the MUAC outcome, the hemoglobin and total protein levels of a child would be the main causes of any variation between the exact nutritional status of a child and that suggested by the MUAC value. The final Joint-GLM suggests that, if there are occasions where the MUAC gave false results, it could be a result of an imbalance in the child’s hemoglobin and protein levels. If these two are within acceptable levels in a child, the MUAC is most likely to be consistent in predicting the child’s nutritional status accurately. This study therefore recommends the continued use of MUAC in diagnosis of child malnutrition but urges Ghana and countries in Sub-Saharan Africa to roll out an effective nutrition intervention plan targeting the poor and vulnerable suburbs so that the nutritional status of children under five years of age, who were the focus of the current study, may be improved.

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

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). 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. Twenty datasets from Africa, South Asia, Southeast Asia, North America and South America were included. All eligible participants from the original datasets were included. The total sample size was 13835. 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. 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.

Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal

BackgroundUndernourished people have an increased risk of premature mortality from both infectious and non-communicable diseases. Aside from screening purposes, assessment of nutritional status is a useful tool in management and evaluation of various chronic diseases. Body-Mass-Index (BMI) is today the most commonly used marker of nutritional status however, this method presents a challenge in many low resource settings and immobile patients. Mid-upper arm circumference (MUAC) is another anthropometric measure that requires minimal equipment and little training. So far, MUAC cutoffs for undernutrition are well established in children < 5 years but there is still no consensus for a specific cutoff in adults. The objective of this study was to compare MUAC with BMI and suggest a MUAC cut-off corresponding to a BMI of 18.5 kg/m2 to identify underweight in adults.MethodsA cross-sectional study was conducted at two urban public hospitals in Nepal. The following variables where collected: MUAC, weight, height, sex, age and self-reported medical history. Exclusion criteria: < 19 years of age, pregnancy and oedema. Sensitivity and specificity for a MUAC value corresponding to BMI < 18.5 was calculated. ROC analysis was performed for male and female as well as Pearson’s correlation of MUAC and BMI.ResultsA total of 302 people between 18 and 86 years of age, 197 women and 105 men, were included. Of these, 90 people suffered from rheumatic heart disease. MUAC was highly correlated with BMI in both women r = 0.889 and men r = 0.846. Best statistically derived MUAC cutoff corresponding to a BMI < 18.5 kg/m2 was 24.5 cm (Youdens Index = 0.75; sensitivity 92.86; specificity 82.48), with high predictive value (AUROCC> 0.9). The setting based optimal MUAC cutoff was also 24.5 cm. No considerable variation was found in sex- and disease specific subgroups.ConclusionMUAC is strongly correlated with BMI in adults in Nepal. For simplicity, a MUAC of 24.5 cm is the optimal statistically and setting based cutoff in both women and men to identify underweight (BMI < 18.5 kg/m2).