Severity: Warning
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: 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: Metabolic Syndrome (MetS) is a risk for developing cardiovascular diseases and its prevalence is especially high in psychiatric patients. To date, there is limited data from the United Arab Emirates (UAE) on the prevalence of MetS. Therefore, we aimed to investigate its prevalence and possible risk factors in a large sample of psychiatric patients in the UAE.
Methods: A cross-sectional study was conducted at Al-Ain Hospital, in Al-Ain City, UAE. We collected demographic and clinical data on patients diagnosed with schizophrenia, schizoaffective, and bipolar affective disorder in the period between January 2017 and December 2020. This included their secondary diagnosis (psychiatric or medical), vital signs (heart rate, systolic and diastolic blood pressure, Body Mass Index [BMI]), metabolic parameters (fasting blood glucose, cholesterol, triglycerides, low-density lipoprotein, high-density lipoproteins), and prescribed medications. We used the American Association of Clinical Endocrinology (AACE) criteria to diagnose MetS.
Results: We included 889 subjects and of these, 79.8% ( = 709) had a BMI ≥25 kg/m and 9.8% ( = 87) had no abnormal metabolic parameters. Overall, 28.1% ( = 250) had MetS with no statistical difference between the three groups. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors for MetS.
Conclusion: Our study found that around one in three patients had MetS irrespective of the three diagnoses. Some variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for regular screening and management of abnormal metabolic parameters.
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Source |
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http://dx.doi.org/10.1080/13651501.2024.2310847 | DOI Listing |
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