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Objectives The Middle Upper Arm Circumference (MUAC) bracelet is a widely used instrument in public health assessments and humanitarian assistance projects. The WHO guidelines present a universal cut‐off point of 115 mm to determine whether a child has severe acute malnutrition. The objective of this study is to analyze the existing differences in the MUAC for boys and girls aged between 6 and 59 months, from 22 countries distributed in three different continents, in contrast to the use of this single cut‐off point. In addition, the creation of MUAC growth charts is presented for reference use. Materials and Methods This study was carried out with a database developed by Action Against Hunger, composed, after the data pre‐processing phase, of 97 921 individuals without anthropometric failure from African, Asian, and American continents. MUAC measurements were compared between countries, dividing by sex and age groups. A k‐means method was used to create country clusters to allow comparisons and the variability was resumed using a Principal Component Analysis. For each cluster, growth curves were created and smoothed using the LOESS method. Results Our research has revealed the existence of differences in the MUAC between countries in both, males and females, although with different trends. The evidence was confirmed with the creation of two clusters using the k‐means method, which, when graphically represented by the Principal Component Analysis, showed that the MUAC was clearly different. There were also differences between males and females within each cluster, where growth curves did not overlap in any age group. Conclusions All statistical analysis indicate that there are differences in the MUAC values for children without anthropometric failure between countries, but also between sexes. With this research, a new reference is proposed that consider the existing variability between human populations to improve the precision in the determination of severe acute malnutrition in children.

Objectives International growth charts have been used in the past decades to identify atypical growth and diagnose the nutritional status of individuals. The aim of this study was to construct and compare growth patterns of normo‐nourished children between 6–59 months from Afghanistan, Haiti, and the Democratic Republic of the Congo, to assess if it would be worth developing growth charts at a national level. Methods We used an international sample of 46 466 subjects (53.7% female; 46.3% male) from the aforementioned regions. To create the growth charts, we used different statistical methodologies: the Lambda‐Mu‐Sigma (LMS), LMSP, and LMST models, and regression models based on fractional polynomials. The LMSP models were the ones that fitted our data best and were therefore the ones used to make comparisons between countries using percentiles (3rd, 50th, and 97th). Results We found that Haitian children were both, taller and heavier than their Afghan and Congolese equals of the same ages. Moreover, differences were bigger in the highest percentiles (i.e., 97th percentile). These differences might be the result of the influence that genetics and diverse social and environmental contexts have on growth rates. Conclusions Using the same international reference standards for all populations could result in the overestimation or underestimation of the proportion of malnourished children. In light of our results, we recommend the future development of national and regional growth charts to provide health workers with more precise tools to evaluate the nutritional status in the child population.

Measuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies’ and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies’ distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.