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

: 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<0.001) compared to women delivering normal babies (23.47±2.56 cm). There wasa positive correlation(r=0.32;p<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 ◽  
Vol 11 (07) ◽  
pp. 912-925
Author(s):  
Sebean Mayimbo ◽  
Clara Maphosa Haruzivishe ◽  
Concepta Kwaleyela ◽  
Bwembya Phoebe ◽  
Ellen Chirwa ◽  
...  

2019 ◽  
Vol 6 (5) ◽  
pp. 2098
Author(s):  
Jyothi S. D. ◽  
Raghavendra Doddamani

Background: Birth weight acts as a crucial sensitive and reliable tool to prevent infant and child morbidity and mortality. There has been a considerable interest in recent years for using simple anthropometric measures as an alternative to birth weight. Objective of the study is to determine the cut off values of the anthropometric measurements and to assess the accuracy of the anthropometric surrogates to identify low birth weight babiesMethods: This is a cross sectional study conducted for a period of one year from 1st Dec 2011 to 31st Nov 2012 at Christian fellowship hospital, Oddanchatram, Dindigal, Tamilnadu. Study population included all the live newborns of term gestation at the hospital. A total of 500 newborns were included in the study during the period. Birth weight of the newborn was measured using spring scale to the nearest 25 grams. Head circumference, Chest circumference, Mid Upper Arm Circumference, Foot Length, Thigh circumference, Calf circumference, Crown-hell length were measured using proper guidelines to the nearest 0.1 cm.Results: In the present study, low birth weight was present in 262 (52.4%) of the newborns. Thigh circumference with cut off value of 15 cm had higher sensitivity and specificity of 97.5% and 80.9% respectively. It was followed by Mid upper arm circumference with cut off value of 10 cm, sensitivity of 81.5% and specificity of 93.9%. Thigh circumference and mid upper arm circumference had high area under curve of 0.949 and 0.855 respectively. All the anthropometric measurements were statistically significant at 5% level of significance.Conclusions: Thigh circumference with a cut off of 15 cm, followed by mid upper arm circumference of 10 cm were the better surrogate anthropometric measurements with better sensitivity, specificity to identify low birth weight babies.


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 ◽  
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.


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).


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 ).


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 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.


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