Measuring child food poverty: Understanding the gap to achieving minimum dietary diversity.

Objective: The aim of this study is to analyze complementary feeding practices, to assess the extent to which minimum dietary diversity (MDD) recommendations are being met in the population studied and to study factors that influence the achievement of MDD.

Design: We pooled individual level data form the Demographic and Health Surveys (DHS) and Multi Indicator Cluster Surveys (MICS). We apply methods from poverty measurement to identify individual gaps towards achieving minimum dietary diversity (MDD).

Addressing Physical Inactivity in Mexican Children: The Role of Parents and Their Physical Literacy.

Introduction: Childhood obesity and physical inactivity rates in Mexico are among the highest in the world. While parenting is a key factor in shaping children's physical activity behavior, there is a lack of research in this area, particularly in Mexico.

Objective: This qualitative study aims to better understand aspects of parenting relevant to children's physical engagement, including what parents understand by physical activity, how engaged they are and how important they find it, that is, their physical literacy.

Penalty shoot-outs are tough, but the alternating order is fair.

We compare conversion rates of association football (soccer) penalties during regulation or extra time with those during shoot-outs. Our data consists of roughly 50,000 penalties from the eleven most recent seasons in European men's football competitions. About one third of the penalties are from more than 1,500 penalty shoot-outs.

Development and assessment of a machine learning tool for predicting emergency admission in Scotland.

Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and public health planning. Here, we introduce SPARRAv4, a predictive score for EA risk that will be deployed nationwide in Scotland.