↓ Skip to main content

Relationship of autonomic imbalance and circadian disruption with obesity and type 2 diabetes in resistant hypertensive patients

Overview of attention for article published in Cardiovascular Diabetology, March 2011
Altmetric Badge

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
121 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Relationship of autonomic imbalance and circadian disruption with obesity and type 2 diabetes in resistant hypertensive patients
Published in
Cardiovascular Diabetology, March 2011
DOI 10.1186/1475-2840-10-24
Pubmed ID
Authors

Leandro Boer-Martins, Valéria N Figueiredo, Caroline Demacq, Luiz C Martins, Fernanda Consolin-Colombo, Márcio J Figueiredo, Fernando PS Cannavan, Heitor Moreno

Abstract

Hypertension, diabetes and obesity are not isolated findings, but a series of interacting interactive physiologic derangements. Taking into account genetic background and lifestyle behavior, AI (autonomic imbalance) could be a common root for RHTN (resistant hypertension) or RHTN plus type 2 diabetes (T2D) comorbidity development. Moreover, circadian disruption can lead to metabolic and vasomotor impairments such as obesity, insulin resistance and resistant hypertension. In order to better understand the triggered emergence of obesity and T2D comorbidity in resistant hypertension, we investigated the pattern of autonomic activity in the circadian rhythm in RHTN with and without type 2 diabetes (T2D), and its relationship with serum adiponectin concentration.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United States 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Unknown 116 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Student > Bachelor 16 13%
Researcher 14 12%
Student > Ph. D. Student 11 9%
Student > Postgraduate 10 8%
Other 31 26%
Unknown 21 17%
Readers by discipline Count As %
Medicine and Dentistry 46 38%
Agricultural and Biological Sciences 9 7%
Sports and Recreations 7 6%
Social Sciences 7 6%
Nursing and Health Professions 6 5%
Other 22 18%
Unknown 24 20%