ElsevierHealthcareHub
Welcome to Elsevier’s Hypertension Healthcare Hub, which provides healthcare professionals the latest evidence-based content to care for patients with high blood pressure. Access clinical resources curated to help you improve patient outcomes.
Obesity Health Care Hub
Elsevier has created the Obesity Healthcare Hub to help healthcare professionals address the obesity crisis. Here you will find clinical resources focused on the latest evidence-based practices for obesity, as well as tools to engage in supportive conversations with your patients.
Learn more
Diabetes and its associated factors: A Retrospective cohort analysis of a large database at Indus Hospital Health Network
Source: Pakistan Journal of Medical Sciences
Tropical oils consumption and health: a scoping review to inform the development of guidelines in tropical regions
Source: BMC Public Health
Translation, transcultural adaptation, and validation of the Brazilian Portuguese version of the general medication adherence scale (GMAS) in patients with high blood pressure
Source: Exploratory Research in Clinical and Social Pharmacy
Effectiveness of WhatsApp based debunking reminders on follow-up visit attendance for individuals with hypertension: a randomized controlled trial in India
Source: BMC Public Health
The impact of sex hormones on metabolic syndrome: univariable and multivariable Mendelian randomization studies
Source: Diabetology and Metabolic Syndrome
Note:
User acknowledges that these materials are provided for use at no charge as part of Elsevier’s efforts to support healthcare providers and patients. The information contained within the website is intended as a supplement to, and not a substitute for, the knowledge, expertise, skill and judgment of healthcare professionals involved in patient care. The content within this page may not be re-used, modified or re-distributed without prior written permission.
Cookies are used by this site. To decline or learn more, visit our cookie notice.
Copyright © 2024 Elsevier, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
