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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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 occurrence of postoperative depression and anxiety in patients with endometriosis (EMS) not only causes psychological distress, but may also harm their physical health.
Aim: To explore the postoperative depression status, and its influencing factors, of EMS patients with reproductive intention.
Methods: A total of 321 EMS patients with reproductive intent were included. Using the self-rating anxiety scale and self-rating depression scale, EMS patients with anxiety or depression were distinguished. A clinical model for predicting anxiety or depression in EMS patients was constructed and evaluated using a nomogram, receiver operating characteristic curve, and calibration curve.
Results: The results of the single factor analysis showed that smoking, coffee, EMS stage, chronic pelvic pain, and sexual discomfort may be related to anxiety. Further, smoking, drinking, spouse, annual household income and EMS stage may be related to depression in EMS patients. Multivariate logistic regression illustrated that smoking, coffee, chronic pelvic pain and sexual discomfort may be independent risk factors for anxiety in EMS patients, while smoking, EMS stage (Phase III and Phase IV), spouse and high annual household income may be independent risk factors for depression in EMS patients. Additionally, the models used to predict the risk of anxiety or depression in EMS patients have good predictive value.
Conclusion: The anxiety and depression of EMS patients may be related to many factors. In clinical treatment, additional attention should be paid to the psychological status of EMS patients.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417660 | PMC |
http://dx.doi.org/10.5498/wjp.v14.i9.1364 | DOI Listing |
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