National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million…
By G. Danaei, M. Finucane, J. Lin, G. Singh, Christopher J. Paciorek, Melanie J. Cowan, F. Farzadfar, Gretchen A. Stevens, Stephen S. Lim, L. Riley and 1 more. The Lancet, 2011
1,154 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Nutrition and Dietetics
View Paper: https://www.semanticscholar.org/paper/6a7b0ea27634f2388d42a9e3a50717eea9de5a4a
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In Cardiology and Cardiovascular Medicine
In Nutrition and Dietetics
Citations in the corpus
- A century of trends in adult human height (2016, neutral): “The statistical method is described in detail elsewhere ( Danaei et al., 2011 ; Finucane et al., 2014 ).”
- The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis (2013, background): “Recent analyses of national and regional trends in exposure to CVD risk factors have shown considerable worldwide increases in BMI [26] and blood glucose [24], concurrent with increases in SBP and TC in some regions [23,25].”
- National, regional, and global trends in adult overweight and obesity prevalences (2012, methodology): “As described elsewhere, we fit the Bayesian model using the Markov chain Monte Carlo (MCMC) algorithm and obtained samples from the posterior distribution of model parameters, reflecting the above sources of uncertainty, which were in turn used to obtain samples from the posterior distribution of me”
- Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants (2016, neutral): “22 In summary, the model had a hierarchical structure in which estimates for each country and year were informed by the country and year’s own data, if available, and by data from other years in the same country and in other countries, especially those in the same region with data for similar time…”