scholarly journals Use of Mid-Upper Arm Circumference (MUAC) to Predict Malnutrition among Sri Lankan Schoolchildren

Nutrients ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 168
Author(s):  
Chisa Shinsugi ◽  
Deepa Gunasekara ◽  
Hidemi Takimoto
Keyword(s):  
Birth Weight ◽  
Rank Correlation ◽  
Overweight And Obesity ◽  
Public Health Issue ◽  
Sri Lankan ◽  
Z Score ◽  
Upper Arm ◽  
Double Burden ◽  
Arm Circumference ◽  
Mid Upper Arm Circumference

The double burden of malnutrition (under- and overnutrition) is a serious public health issue in childhood. The mid-upper arm circumference (MUAC) is a simple tool for screening nutritional status, but studies of the optimal cutoff to define malnutrition are limited. This study aimed to explore the prediction of malnutrition by MUAC in Sri Lankan schoolchildren. The participants were 538 students (202 boys, 336 girls) aged 5–10 years. Spearman’s rank correlation was calculated for MUAC and both body-mass-index-for-age z-score (BAZ) and height-for-age z-score (HAZ). Receiver operating characteristic (ROC) analysis was conducted to assess the ability of MUAC to correctly classify malnutrition, after stratifying for age and birth weight. MUAC correlated significantly with BAZ (r = 0.84) and HAZ (r = 0.35). The areas under the ROC curve for thinness, overweight, obesity, and stunting were 0.88, 0.97, 0.97, and 0.77, respectively. The optimal MUAC cutoff values for predicting thinness and stunting were 167.5 mm and 162.5 mm, respectively; the optimal cutoffs for predicting overweight and obesity were 190.5 mm and 218.0 mm, respectively. These cutoffs differed after stratification by age group and birth weight. Our results confirm MUAC to be a useful tool for monitoring growth in schoolchildren.

scholarly journals Determinant of Maternal and Hair Zinc Level on Stunting and Developmental Disorders in Under Five Aged Children: A Path Analysis

2020 ◽  
Author(s):  
Nunik Ike Yunia Sari ◽  
◽  
Estin Gita Maringga ◽  
Keyword(s):  
Birth Weight ◽  
Developmental Disorders ◽  
Zinc Level ◽  
Birth Length ◽  
Hair Zinc ◽  
Upper Arm ◽  
Under Five ◽  
Arm Circumference ◽  
Zinc Levels ◽  
Mid Upper Arm Circumference

ABSTRACT Background: Stunting can cause various developmental problems in children under five. Stunting can reduce a person productivity at a young age and increase the risks of developing non-communicable diseases when older. This study aimed to determine of maternal and hair zinc level on stunting and developmental disorders in under five aged children. Subjects and Method: This was a case study conducted at Gurah Public Health Center, Kediri Regency, East java, August 4-29, 2020. approach with a fixed disease sampling technique. A sample size of 100 subjects was selected by simple random sampling. The dependent variable was stunting and developmental disorders. The independent variables were pregnant women Mid-Upper Arm Circumference, exclusive breastfeeding, LBW, birth length, hair zinc level. The data were collected by questionnaire, measuring height and weight and checking hair zinc levels in the laboratory. The data were analyzed by path analysis. Results: Child development was influenced by Mid-Upper Arm Circumference (b= 0.12; SE= 0.36; p< 0.001), birth weight (b= 0.29; SE= 0.15; p= 0.042); birth length (b= 0.37; SE= 0.15; p= 0.011), breastfeeding (b= 0.08; SE= 0.04; p= 0.033), stunting (b= 0.39; SE= 0.10; p <0.001), hair zinc levels (b= 0.58; SE= 0.67; p <0.001). Hair zinc levels were affected by birth weight (b= 0.92; SE= 0.04; p <0.001). Stunting was affected by breastfeeding (b= 0.12; SE= 0.04; p <0.001); birth length (b= 0.73; SE= 0.06; p <0.001), zinc levels (b= 0.16; SE= 0.06; p= 0.006) Conclusion: Child development was influenced by Mid-Upper Arm Circumference, birth weight, birth length, breastfeeding, stunting, hair zinc levels. Hair zinc levels were affected by birth weight. Stunting was affected by breastfeeding, birth length, zinc levels. Keywords: maternal determinant factor, hair zinc level, predictor of stunting, developmental disorder Correspondence: Nunik Ike Yunia Sari. School of Health Sciences Karya Husada Kediri. Email: [email protected]. Mobile: +6282257969278. DOI: https://doi.org/10.26911/the7thicph.03.34

scholarly journals Mid-upper arm circumference in pregnant women and its relation to birth weight

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
Keyword(s):  
Birth Weight ◽  
Pregnant Women ◽  
Gestational Age ◽  
Head Circumference ◽  
Upper Arm ◽  
Maternal Nutritional Status ◽  
Arm Circumference ◽  
Mother’S Age ◽  
Mid Upper Arm Circumference ◽  
Pregnancy Weight

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.

Maternal Body Mass Index (BMI) and Mid-Upper Arm Circumference (MUAC) in Early Pregnancy as Predictors of Low Birth Weight Infants

2018 ◽  
Vol 24 (8) ◽  
pp. 6203-6205
Author(s):  
Yoga Dwi Oktavianda ◽  
Syahru Ramadhan ◽  
Thalia Mufida ◽  
Ummul Mukminin ◽  
Rima Irwinda
Keyword(s):  
Body Mass Index ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Nutritional Status ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Upper Arm ◽  
Maternal Nutritional Status ◽  
Arm Circumference ◽  
Mid Upper Arm Circumference

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).

scholarly journals Mid upper arm circumference in pregnant women and its relationship with birth weight

2021 ◽  
Vol 11 (2) ◽  
pp. 331-335
Author(s):  
Surendra Nath Soren ◽  
Partha Sarathi Sahu
Keyword(s):  
Birth Weight ◽  
Pregnant Women ◽  
Linear Regression Analysis ◽  
Care Facility ◽  
Health Care Facility ◽  
Cross Sectional Study ◽  
Upper Arm ◽  
Cross Sectional ◽  
Arm Circumference ◽  
Mid Upper Arm Circumference

: 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.

scholarly journals Mid-upper arm circumference measurement for severe malnutrition screening in underfives

2020 ◽  
Vol 60 (1) ◽  
pp. 42-52
Author(s):  
Stephanie Adelia ◽  
Johannes Capistrano Susanto
Keyword(s):  
Screening Method ◽  
Cross Sectional Study ◽  
Severe Malnutrition ◽  
Z Score ◽  
Upper Arm ◽  
Cross Sectional ◽  
Kappa Test ◽  
Arm Circumference ◽  
Significant Difference ◽  
Mid Upper Arm Circumference

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.

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