Autor: |
Hongye Zhang, Charles Mondo, Okechukwu S Ogah, Conor Judge, Helle K. Iversen, Danuta Ryglewicz, Germán Málaga, Albertino Damasceno, R Iqbal, John Ferguson, Denis Xavier, Fawaz Al-Hussain, Anna Członkowska, Fernando Lanas, Nana Pogosova, Siu Lim Chin, Adensola Ogunniyi, Afzalhussein Yusufali, Martin O' Donnell, Antonio L. Dans, Graeme J. Hankey, Patricio Lopez-Jaramillo, Purnima Rao-Melacini, Hans-Christoph Diener, Christian Weimar, Sumathy Rangarajan, Magazi Daliwonga, Ernesto Peñaherrera, Liu Lisheng, Peter Langhorne, Zvonko Rumboldt, Alvaro Avezum, Andrew Smyth, Rafael Diaz, Xingyu Wang, Yongchai Nilanont, Shahram Oveisgharan, Prem Pais, Annika Rosengren, Salim Yusuf, Ahmed Elsayed, Khalid Yusoff, Aytekin Oguz |
Přispěvatelé: |
Masira |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
|
Zdroj: |
Repositorio Universidad de Santander Universidad de Santander instacron:Universidad de Santander |
Popis: |
Digital Objective Hypertension is the most important modifiable risk factor for stroke globally. We hypothesised that country-income level variations in knowledge, detection and treatment of hypertension may contribute to variations in the association of blood pressure with stroke. Methods We undertook a standardised case-control study in 32 countries (INTERSTROKE). Cases were patients with acute first stroke (n=13 462) who were matched by age, sex and site to controls (n=13 483). We evaluated the associations of knowledge, awareness and treatment of hypertension with risk of stroke and its subtypes and whether this varied by gross national income (GNI) of country. We estimated OR and population attributable risk (PAR) associated with treated and untreated hypertension. Results Hypertension was associated with a graded increase in OR by reducing GNI, ranging from OR 1.92 (99% CI 1.48 to 2.49) to OR 3.27 (2.72 to 3.93) for highest to lowest country-level GNI (pheterogeneity Ciencias Médicas y de la Salud |
Databáze: |
OpenAIRE |
Externí odkaz: |
|