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
Objective: To evaluate the association of household income and formal education with risk of mortality after spinal cord injury (SCI).
Design: Cohort study.
Setting: Twenty hospitals designated as Model SCI Systems of care in the United States.
Participants: Adults (N=8027) with traumatic SCI, seen in one of the Model SCI Systems, who had at least 1 follow-up assessment between 1995 and 2006. All participants were at least 1 year postinjury at the time of assessment. There were 57,957 person-years and 1036 deaths. The follow-up period started with the first assessment between 1995 and 2006 and went until either the date of death or March 2009.
Interventions: Not applicable.
Main Outcome Measures: Mortality status was determined by routine follow-up supplemented by using the Social Security Death Index. A logistic regression model was developed to estimate the chance of dying in any given year.
Results: Educational status and income were significantly predictive of mortality after adjusting for age, sex, race, and severity of injury. Compared with those with household income of $75,000 or greater, the odds of mortality was greater for those who had income between $25,000 and $75,000 (1.61) and still higher for those with less than $25,000 a year (2.41). Life expectancy differed more as a function of household income than the economic subscale of the Craig Handicap Assessment and Reporting Technique.
Conclusion: There was a clear gradation in survival based on familial income (high, middle, low), not just an effect of the lowest income.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181072 | PMC |
http://dx.doi.org/10.1016/j.apmr.2010.09.032 | DOI Listing |
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