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
Background: The evaluation of quality of life related to health (HRQOL) has become an important prognostic indicator in HIV/AIDS. The aim of this study was to determine the impact of socio-demographic, clinical and psychological factors in HRQOL in a group of subjects with HIV/AIDS in northwestern Mexico and determine which variables best predict HRQOL.
Methods: In a cross-sectional study with a sample of 87% of patients receiving care at a clinic for HIV/AIDS in northwestern Mexico between November 2010 to June 2011, we measure the HRQOL using the Tool Medical Outcomes Study HIV Health Survey (MOS-HIV). A model of multiple linear regression was performed to identify variables that allow us to predict HRQOL in this population.
Results: In a sample of 54 subjects with HIV/AIDS. Patients had an average age of 43 ± 9 years, 83% were men with a mean time of 6.5 ± 4.5 years from diagnosis. HRQOL scores of physical and mental health of the participants were 57 ± 6 and 57 ± 13 respectively. In multivariate analysis, the variables that influenced the physical health punctuation were gender, marital status, sexual orientation, time since diagnosis and viral load (log).
Conclusions: Prospective studies are needed to better explain the influence of the factors that predict changes or trends in HRQOL in patients with HIV/AIDS.
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