6 documents found, page 1 of 1
How prices and income influence global patterns in saturated fat intake by age,...
Ahles, A; Muhammad, A; Yenerall, JN; Reedy, J; Shi, P; Zhang, J; Cudhea, F; Erndt-Marino, J; Miller, V; Mozaffarian, D; Abbott, P; Abdollahi, MObjective When considering proposals to improve diets, it is important to understand how factors like price and income can affect saturated fat (SF) intake and demand. In this study, we examine and estimate the influence of price and income on intake across 160 countries, by age and sex, and derive sensitivity measures (price elasticities) that vary by age, sex and world region. Design We econometrically estima...
Children's and adolescents' rising animal-source food intakes in 1990-2018 were...
Miller, V; Webb, P; Cudhea, F; Zhang, J; Reedy, J; Shi, P; Erndt Marino, J; Coates, J; Micha, R; Mozaffarian, D; Bas, M; Ali, JH; Abumweis, SAnimal-source foods (ASF) provide nutrition for children and adolescents physical and cognitive development. Here, we use data from the Global Dietary Database and Bayesian hierarchical models to quantify global, regional and national ASF intakes between 1990 and 2018 by age group across 185 countries, representing 93% of the worlds child population. Mean ASF intake was 1.9 servings per day, representing 16% of...
Incident type 2 diabetes attributable to suboptimal diet in 184 countries
OHearn, M; Lara Castor, L; Cudhea, F; Miller, V; Reedy, J; Shi, P; Zhang, J; Wong, JB; Economos, CD; Micha, R; Mozaffarian, D; Bas, M; Ali, JHThe global burden of diet-attributable type 2 diabetes (T2D) is not well established. This risk assessment model estimated T2D incidence among adults attributable to direct and body weight-mediated effects of 11 dietary factors in 184 countries in 1990 and 2018. In 2018, suboptimal intake of these dietary factors was estimated to be attributable to 14.1 million (95% uncertainty interval (UI), 13.814.4 million) ...
Author Correction: Global dietary quality in 185 countries from 1990 to 2018 sh...
Miller, V; Webb, P; Cudhea, F; Shi, P; Zhang, J; Reedy, J; Erndt Marino, J; Coates, J; Mozaffarian, D; Bas, M; Ali, JH; Abumweis, S; Krishnan, A[No abstract available]
Association between country preparedness indicators and quality clinical care f...
Davies, JI; Reddiar, SK; Hirschhorn, LR; Ebert, C; Marcus, ME; Seiglie, JA; Zhumadilov, Z; Supiyev, A; Sturua, L; Silver, BK; Sibai, AMBackground: Cardiovascular diseases are leading causes of death, globally, and health systems that deliver quality clinical care are needed to manage an increasing number of people with risk factors for these diseases. Indicators of preparedness of countries to manage cardiovascular disease risk factors (CVDRFs) are regularly collected by ministries of health and global health agencies. We aimed to assess wheth...
The state of hypertension care in 44 low-income and middle-income countries: a ...
Geldsetzer, P; Manne-Goehler, J; Marcus, ME; Ebert, C; Zhumadilov, Z; Wesseh, CS; Tsabedze, L; Supiyev, A; Sturua, L; Bahendeka, SK; Sibai, AMBackground Evidence from nationally representative studies in low-income and middle-income countries (LMICs) on where in the hypertension care continuum patients are lost to care is sparse. This information, however, is essential for effective targeting of interventions by health services and monitoring progress in improving hypertension care. We aimed to determine the cascade of hypertension care in 44 LMICs—a...