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Filename: Session/Session.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
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Background: In a previous study, no association was found between intimate partner violence (IPV) victims and being an adult who witnessed IPV as a child (ACW).
Objective: The objective of the present study was to determine whether perpetrators of IPV (Perps) could be identified in a busy emergency department (ED) and whether Perps were more likely than non-Perps to be ACWs. The hypothesis was that Perps differed significantly from non-Perps in being ACWs, in being victims of IPV, and in demographics.
Methods: The design was a cross-sectional cohort of patients presenting to an academic ED during randomized 4-hour shifts. A choice of computer touch screen data vs paper format was offered. Data collected included demographics as well as scales to determine whether subjects were a Perp, victim, and/or ACW of IPV. Six validated scales were used to screen and confirm victims, Perps, and ACWs. Predictor variables were ACW, ongoing IPV, and demographics.
Results: Two hundred thirty-six subjects were entered, 207 had complete data sets. Forty-four (19%) were Perps. By univariate analysis, there was a significant correlation of Perps and ACW (P = .001 by single question) and between Perp and being victims (P = .001). No other univariate variables were significantly correlated. By regression analysis, significant predictors of Perp included ACW and spouse drug abuse.
Conclusions: The Perps were identified in a busy ED setting. Perps were significantly more likely than non-Perps to be ACWs, but not more likely to be victims. Spouse drug abuse and ACW were the 2 significant predictors of Perp.
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Source |
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http://dx.doi.org/10.1016/j.ajem.2008.05.003 | DOI Listing |
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