↓ Skip to main content

Anthropometric changes and their effects on cardiometabolic risk factors in rural populations in Brazil

Overview of attention for article published in Ciência & Saúde Coletiva, May 2018
Altmetric Badge

Mentioned by

blogs
1 blog

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
23 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
Anthropometric changes and their effects on cardiometabolic risk factors in rural populations in Brazil
Published in
Ciência & Saúde Coletiva, May 2018
DOI 10.1590/1413-81232018235.19552016
Pubmed ID
Authors

Tatiane Géa-Horta, Mark Anthony Beinner, Andrea Gazzinelli, Mariana Santos Felisbino Mendes, Gustavo Velasquez-Melendez

Abstract

This article aims to evaluate associations between anthropometric changes in five years with lipid and blood pressure levels in Brazilian rural population. This longitudinal study evaluated 387 individuals aged 18 to 75 residents of two rural communities. Demographic, lifestyle, anthropometric, biochemical and hemodynamic characteristics were assessed in 2004 and repeated in 2009. Multivariate linear regression was used. Positive change in BMI was associated with increased diastolic blood pressure (DBP) (β = 0.07; 95%CI: 0.03-0.11), low-density lipoprotein (LDL-C) (increase of 0.01% to 10%: β = 0.08; 95%CI: 0.02-0.14, more than 10% increase: β = 0.09; 95%CI: 0.01-0.16) and low density lipoprotein/high density lipoprotein cholesterol ratio (LDL-C/HDL-C) (increase of 0.01% to 10%: β = 0.15; 95%CI: 0.06-0.25, more than 10% increase: β = 0.14; 95%CI: 0.02-0.25). Our results showed no association between positive changes in WC and lipid levels increase, only with blood pressure levels increase (SBP: β = 0.06; CI95%:0.02-0.10; DBP: β = 0.09; CI95%: 0.04;0.13). Positive changes in BMI are independent predictors of increased lipid and blood pressure levels and positive changes in WC of increased blood pressure.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 26%
Student > Ph. D. Student 3 13%
Student > Postgraduate 3 13%
Researcher 2 9%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 5 22%
Readers by discipline Count As %
Nursing and Health Professions 5 22%
Medicine and Dentistry 3 13%
Sports and Recreations 1 4%
Agricultural and Biological Sciences 1 4%
Social Sciences 1 4%
Other 3 13%
Unknown 9 39%