Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Goals: Detect if there are differences in prevalence, distribution of cardiovascular risk factors and risk according to REGICOR and SCORE's function; between people belonging to different occupational classes and population at risk of social exclusion.
Design: Cross-sectional. SITE: Occupational health unit of the City Hall of Córdoba.
Participants: Sample availability of 628 people, excluding 59 by age or incomplete data. The group of municipal workers was obtained randomly while all contracted exclusion risk was taken.
Intervention: No preventive, diagnostic or therapeutic actions that modify the course of the previous situation of workers were applied.
Main Measurements: Smoke, glucose, lipids, blood pressure and BMI as main variables. T-student were used for comparison of means and percentages for Chi. Statistical significance attached to an alpha error <5% and confidence interval with a 95% security. Receiver operator curves (ROC) were employed to find out what explanatory variables predict group membership of workers at risk of exclusion.
Results: Smoking (95% CI: -.224;-.443), hypercholesterolemia (95% CI: -.127;-.320), obesity (95% CI: -.005;-0.214), diabetes (95% CI: -.060;-.211) and cardiovascular risk were higher in men at risk of exclusion. In women there were differences in the same variables except smoking (P=.053).
Conclusions: The existence of inequalities in prevalence of cardiovascular risk factors is checked. In a context of social crisis, health promotion and primary prevention programs directing to the most vulnerable, they are needed to mit.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876063 | PMC |
http://dx.doi.org/10.1016/j.aprim.2016.05.009 | DOI Listing |
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