scholarly journals Performance of mid-upper arm circumference to diagnose acute malnutrition in a cross-sectional community-based sample of children aged 6–24 months in Niger

2019 ◽  
Vol 13 (3) ◽  
pp. 247 ◽  
Author(s):  
Sarah K Marshall ◽  
Joel Monárrez-Espino ◽  
Anneli Eriksson
2018 ◽  
Vol 21 (10) ◽  
pp. 1794-1799 ◽  
Author(s):  
Umesh Kapil ◽  
RM Pandey ◽  
Rahul Bansal ◽  
Bhavana Pant ◽  
Amit Mohan Varshney ◽  
...  

AbstractObjectiveTo evaluate the predictive ability of mid-upper arm circumference (MUAC) for detecting severe wasting (weight-for-height Z-score (WHZ) <−3) among children aged 6–59 months.DesignCross-sectional survey.SettingRural Uttar Pradesh, India.SubjectsChildren (n 18 456) for whom both WHZ (n 18 463) and MUAC were available.ResultsThe diagnostic test accuracy of MUAC for severe wasting was excellent (area under receiver-operating characteristic curve = 0·933). Across the lower range of MUAC cut-offs (110–120 mm), specificity was excellent (99·1–99·9 %) but sensitivity was poor (13·4–37·2 %); with higher cut-offs (140–150 mm), sensitivity increased substantially (94·9–98·8 %) but at the expense of specificity (37·6–71·9 %). The optimal MUAC cut-off to detect severe wasting was 135 mm. Although the prevalence of severe wasting was constant at 2·2 %, the burden of severe acute malnutrition, defined as either severe wasting or low MUAC, increased from 2·46 to 17·26 % with cut-offs of <115 and <135 mm, respectively. An MUAC cut-off <115 mm preferentially selected children aged ≤12 months (OR=11·8; 95 % CI 8·4, 16·6) or ≤24 months (OR=23·4; 95 % CI 12·7, 43·4) and girls (OR=2·2; 95 % CI 1·6, 3·2).ConclusionsBased on important considerations for screening and case detection in the community, modification of the current WHO definition of severe acute malnutrition may not be warranted, especially in the Indian context.


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 ◽  
...  

2018 ◽  
Vol 21 (12) ◽  
pp. 2230-2237 ◽  
Author(s):  
Avni Gupta ◽  
James M Tielsch ◽  
Subarna K Khatry ◽  
Steven C LeClerq ◽  
Luke C Mullany ◽  
...  

AbstractObjectiveTo assess ethnicity- and age-modified associations between mid-upper arm circumference (MUAC) and mortality in Nepalese children and whether sociodemographic factors explain these associations.DesignSecondary data analysis of children followed until 3 years of age. Estimated mortality hazard ratios (HR) for MUAC<11·5cm (recommended cut-off for identifying severe acute malnutrition among children ≥6 months old) compared with ≥11·5cm in younger (<6 months) and older children (≥6 months) of Pahadi and Madhesi ethnicity, adjusting for sex, socio-economic status (SES) and mother’s education using Cox proportional hazard models.SettingSarlahi, Nepal (21 October 2001–2 February 2006).SubjectsChildren (n 48 492) enrolled in the Nepal Nutrition Intervention Project, Sarlahi-4.ResultsAmong children aged ≥6 months, MUAC<11·5 cm was associated with increased risk of mortality in both Pahadis (HR=4·01; 95 % CI 1·42, 11·76) and Madhesis (HR=5·60; 95 % CI 3·87, 8·11) compared with those with MUAC≥11·5 cm, after adjusting for sex, SES and maternal literacy. Among children <6 months old, MUAC<11·5 cm was not associated with mortality in Pahadis with (HR=1·12; 95 % CI 0·72, 1·73) or without adjusting (HR=1·17; 95 % CI 0·75, 1·18) as compared with Madeshis (adjusted HR=1·76; 95 % CI 1·35, 2·28).ConclusionsAmong older children, MUAC<11·5 cm is associated with subsequent mortality in both ethnicities regardless of other characteristics. However, among children aged <6 months, it predicted mortality only among Madhesis, while sociodemographic factors were more strongly associated with mortality than MUAC<11·5cm among Pahadis.


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.


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