↓ Skip to main content

Health workers cohort study: methods and study design

Overview of attention for article published in Salud Pública de México, December 2016
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
58 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
Health workers cohort study: methods and study design
Published in
Salud Pública de México, December 2016
DOI 10.21149/spm.v58i6.8299
Pubmed ID
Authors

, , , , , , , , , , , , , , , , , , , , ,

Abstract

To examine different health outcomes that are associated with specific lifestyle and genetic factors. From March 2004 to April 2006, a sample of employees from three different health and academic institutions, as well as their family members, were enrolled in the study after providing informed consent. At baseline and follow-up (2010-2013), participants completed a self-administered questionnaire, a physical examination, and provided blood samples. A total of 10 729 participants aged 6 to 94 years were recruited at baseline. Of these, 70% were females, and 50% were from the Mexican Social Security Institute. Nearly 42% of the adults in the sample were overweight, while 20% were obese. Our study can offer new insights into disease mechanisms and prevention through the analysis of risk factor information in a large sample of Mexicans.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 24%
Student > Doctoral Student 7 12%
Researcher 7 12%
Student > Bachelor 5 9%
Professor > Associate Professor 4 7%
Other 6 10%
Unknown 15 26%
Readers by discipline Count As %
Medicine and Dentistry 19 33%
Biochemistry, Genetics and Molecular Biology 8 14%
Nursing and Health Professions 4 7%
Social Sciences 2 3%
Business, Management and Accounting 1 2%
Other 6 10%
Unknown 18 31%