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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Objective: The human-flying machine interface relies heavily on flight safety. Coronary disease is the most commonly occurring sudden incapacitation during flight and involves factors described as leading to cardiovascular risk. Pilots probably have risk prevalence different to the rest of the population.
Method: This was a descriptive cross-sectional study. Medical histories from January to December 2005 for pilots certified by the Colombian Civil Aeronautic society were reviewed; these were randomly selected until 614 histories were obtained. A 95 % confidence level and 0.5 % accuracy level were used. Data was obtained regarding age, blood pressure, tobacco use, cholesterol, glycaemia, physical fitness, past history, gender, height, flying time and type of licence. STATG 6 software was used for analysing the data and the results were expressed as descriptive statistics.
Results: Percentage risk factor prevalence in pilots was as follows: 7.8 % suffered hypertension, 1.3 % diabetes, 36 % hypercholesterolemia, 36 % hypertriglyceridaemia, 36 % had low HDL, 32 % high LDL, 12.8 % tobacco use, 7 % were obese and 6 % suffered from metabolic syndrome. There were differences between pilots holding first and second class licences, more prevalent risks occurring amongst second class pilots.
Conclusion: The prevalence of risk factors differs between pilots and the general population. According to the Framingham scale, 8 % of the pilots were in the high risk group so they require specific programmes and strict follow-up for modifying the risk profile and improving flight safety.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1590/s0124-00642010000200008 | DOI Listing |
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