Suchergebnisse

Objetivo. Determinar la asociación entre el sobrepeso y la obesidad en niños de edad escolar y la pertenencia a los programas de asistencia alimentaria Liconsa o Desayunos Escolares en México. Material y métodos. Se analizó la información de 15 003 niños en edad escolar de la Encuesta Nacional de Salud y Nutrición 2006 (ENSANUT 2006). Se obtuvo el índice de masa corporal (IMC) e información sobre participación en programas de asistencia alimentaria. Se realizaron análisis descriptivos y se ajustaron modelos de regresión logística. Resultados. La prevalencia de sobrepeso y obesidad fue de 17.3 y 9%, respectivamente. No hubo asociación significativa entre el sobrepeso y obesidad y ser beneficiario de Liconsa. En el quintil socioeconómico medio, los beneficiarios de Desayunos Escolares tuvieron mayores posibilidades de presentar sobrepeso que los no beneficiarios (RM= 1.6, IC 95% 1.1,2.3). Conclusiones. No se encontró asociación entre ser beneficiario de Liconsa o Desayunos Escolares con el sobrepeso y obesidad en este grupo de edad.

BACKGROUND: The sustainable development goals (SDGs) have generated momentum for global health, aligning efforts from governments and international organisations toward a set of goals that are expected to reflect improvements in life conditions across the globe. Mexico has huge social inequalities that can affect access to quality care and health outcomes. The objective of this study is to analyse inequalities among Mexico's 32 states on the health-related SDG indicators (HRSDGIs) from 1990 to 2017. METHODS: These analyses rely on the estimation of HRSDGIs as part of the Global Burden of Disease study 2017. We estimated the concentration index for 40+3 HRSDGI stratified by Socio-demographic Index and marginalisation index, and then for indicators where inequalities were identified, we ran decomposition analyses using structural variables such as gross domestic product per capita, poverty and health expenditure. FINDINGS: Mexico has made progress on most HRSDGIs, but current trends in improvement do not appear to fast enough to meet 2030 targets. Out of 43 HRSDGIs, we identified evidence of inequality between Mexico's states for 30 indicators; of those, 23 HRSDGIs were unequal distributed affecting states with lower development and seven affecting states with higher development. The decomposition analysis indicates that social determinants of health are major drivers of HRSDGI inequalities in Mexico. INTERPRETATION: Modifying current trends for HRSDGIs will require subnational-level and national-level policy action, of which should be informed by the latest available data and monitoring on the health-related SDGs. The SDGs' overarching objective of leaving no-one behind should be prioritised not only for individuals but also for communities and other subnational levels.

INTRODUCTION: Understanding how to deliver interventions more effectively is a growing emphasis in Global Health. Simultaneously, health system strengthening is a key component to improving delivery. As a result, it is challenging to evaluate programme implementation while reflecting real-world complexity. We present our experience in using a health systems modelling approach as part of a mixed-methods evaluation and describe applications of these models. METHODS: We developed a framework for how health systems translate financial inputs into health outcomes, with in-country and international experts. We collated available data to measure framework indicators and developed models for malaria in Democratic Republic of the Congo (DRC), and tuberculosis in Guatemala and Senegal using Bayesian structural equation modelling. We conducted several postmodelling analyses: measuring efficiency, assessing bottlenecks, understanding mediation, analysing the cascade of care and measuring subnational effectiveness. RESULTS: The DRC model indicated a strong relationship between shipment of commodities and utilisation thereof. In Guatemala, the strongest model coefficients were more evenly distributed. Results in Senegal varied most, but pathways related to community care had the strongest relationships. In DRC, we used model results to estimate the end-to-end cost of delivering commodities. In Guatemala, we used model results to identify potential bottlenecks and understand mediation. In Senegal, we used model results to identify potential weak links in the cascade of care, and explore subnationally. CONCLUSION: This study demonstrates a complementary modelling approach to traditional evaluation methods. Although these models have limitations, they can be applied in a variety of ways to gain greater insight into implementation and functioning of health service delivery.