Teresa Shamah-Levy

TL;DR: In this article, a Bayesian hierarchical model was used to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control).

TL;DR: This study offers a state-level quantification of disease burden and risk factor attribution in Mexico for the first time and concludes that Mexico is experiencing a more complex, dissonant health transition than historically observed.

TL;DR: The probabilistic design of the NHNS 2012 as well as its coverage allowed to generate inferences about health and nutrition conditions, health programs coverage, and access to health services.

TL;DR: Girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries and boys in central and western Europe had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI.

TL;DR: The probabilistic design of the survey allows to create valid statistical inferences on parameters of public health interest at the national level and for all 32 states and in addition to identify potential changes in the health and nutrition status of the Mexican population, so that health policies can be adjusted if necessary.