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 COVID-19 pandemic impacted daily routines for a majority of the population, with implications for their health behaviors. Racial and ethnic minorities have been disproportionately impacted by COVID-19. The novel COVID-19 Behavioral Questionnaire (CoBQ) was developed in Fall 2020 to provide a means to measure the impact of the COVID-19 pandemic on the United States population. The study utilized behavioral domains to determine which demographic groups reported that they were made the most vulnerable during Fall-Winter 2020-2021 of the pandemic.
Objectives: The study aimed to further validate and test the CoBQ in varied US regions and compare the scores obtained from three states, California, Ohio, and Illinois.
Methods: A prospective, multi-site survey-based study was designed to further validate and test the 17-item CoBQ in varied populations. Respondents included patients on routine visits at each pharmacy or clinical site who agreed to complete the survey online via Qualtrics. Data analyses included descriptive statistics, psychometric testing, and comparison of groups using Analysis of Variance.
Results: Completed surveys ( = 507) between October 2021 and March 2021 were analyzed. Respondents were mostly female, white, and had some college education. The CoBQ showed improved reliability compared with previous testing and strong construct validity through factor analysis. Overall scores were similar between three states. The most impacted groups included those who reported within the 18-49 age group, a yearly household income <$50 000, or education up to high school.
Conclusions: The CoBQ is the first validated tool to measure the negative impact of the COVID-19 pandemic on health behaviors. Results could serve as a baseline to address the most vulnerable patient groups and support identified behavioral needs during a similar pandemic situation.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9087522 | PMC |
http://dx.doi.org/10.1002/jac5.1625 | DOI Listing |
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