Big Data and Blood Pressure Control: Insights from the PAMELA and BP-CARE Study Cohorts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Internal Medicine
Link
http://link.springer.com/article/10.1007/s11906-018-0885-8/fulltext.html
Reference28 articles.
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3. Nag T, Ghosh A. Cardiovascular disease risk factor clustering among rural adult population in West Bengal. India Obes Res Clin Pract. 2016;10(2):124–32. https://doi.org/10.1016/j.orcp.2015.05.003 .
4. Charles-Davies MA, Fasanmade AA, Olaniyi JA, Oyewole OE, Owolabi MO, Adebusuyi JR, et al. Metabolic alterations in different stages of hypertension in an apparently healthy Nigerian population. Int J Hypertens. 2013;2013:351357–6. https://doi.org/10.1155/2013/351357 .
5. Mancia G, Facchetti R, Bombelli M, Polo Friz H, Grassi G, Giannattasio C, et al. Relationship of office, home, and ambulatory blood pressure to blood glucose and lipid variables in the PAMELA population. Hypertension. 2005;45(6):1072–7.
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