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Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
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Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
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Function: require_once
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Background: Workforce engagement can provide structure, income, feelings of accomplishment, and personal contacts, growing an individual's recovery capital (RC). Employed individuals are also more likely to complete addiction treatment. We sought to investigate whether changes in employment status from alcohol treatment admission to discharge correlated with changes in alcohol use frequency over those time points.
Methods: The Treatment Episode Dataset-Discharges (2017-2021) provided the data. Employment status (full-time, part-time, unemployed, and not in labor force) and alcohol use frequency (daily use, some use, and no use in past month) were assessed at treatment admission and discharge. Changes in alcohol use frequency during treatment were recorded as Reduction or No reduction. Logistic regression using reduced alcohol use frequency as the dependent variable included employment status at admission and discharge separately. A second analysis included employment status at both admission and discharge and their interaction term. An adjusted model included all covariates (race, ethnicity, age, education, and referral source), with its results being used to derive the marginal probabilities of reduced alcohol use frequency.
Results: There were 856,085 alcohol treatment admissions over the 5 years, with 221,724 (25.9%) first admissions. Transitioning from not in the labor force or unemployed to full-time saw the largest percentage of encounters decreasing alcohol use frequency: 71.9% (95% CI: 70.0-73.7) and 69.3% (95% CI: 68.1-70.5), respectively. Those remaining unemployed had the lowest reduction at 26.7% (95% CI: 26.3-27.1), with a sample reduction of 42.7% (95% CI: 42.5-42.9) overall. Far more people (60.4%) completed treatment within the Reduction group than in the No reduction group (30.2%).
Conclusions: Findings suggest that improving employment status may be relevant for reducing alcohol use frequency. This aligns with past work showing overall improved health outcomes with lower unemployment levels. Incorporating vocational training and workforce engagement activities into outpatient treatment may help augment traditional approaches to improve an individual's RC.
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http://dx.doi.org/10.1111/acer.70044 | DOI Listing |