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
There has been both an increase in obesity and anti-obesity bias in the United States. The Harvard Weight Implicit Association Test (IAT) is a reliable, valid test that can measure unconscious weight bias. First semester Bachelor of Science in Nursing (BSN) students were surveyed anonymously mid-semester and at the end of the semester after completing the Harvard Weight IAT. Sixty-nine out of 77 students completed pre- and post-surveys. Weight preference towards others was not shown to be related to the respondent's own self-reported body mass index (BMI). The majority of respondents exhibited more weight-related bias on the IAT than they realized. The three qualitative themes that emerged included Awareness of Personal Beliefs and Stereotypes, Reminder to be Impartial, and Skepticism about the IAT. It is important for undergraduate nursing students to be aware of possible unconscious weight bias in order to provide high-quality care to patients.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787661 | PMC |
http://dx.doi.org/10.3390/healthcare7030106 | DOI Listing |
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