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
Obesity and overfat are most commonly assessed using the body mass index (BMI), which evaluates "total obesity", without accounting for body fat distribution. Therefore, several indexes of obesity have been proposed, combining BMI with other measures or singular parameters. The aim of the study was to evaluate the accuracy of a new, simple index that takes into account both BMI and Waist Circumference (WC), Waist Body Mass Index (wBMI) in comparison to BMI, WC e Waist-to-Height Ratio (WHtR) for the identification of overfat and obese patients identified by fat mass percentage (FM%). 2400 non diabetic patients were enrolled. From the analysis carried out it emerges that wBMI, BMI, WC and WHtR all have a statistically significant positive correlation (p-Value < 0.001) with FM%. The multivariate analysis showed the positive relationship between these four indexes and the FM. To assess the accuracy of these indices in diagnosing the condition of overfat and obesity we used the statistical analysis Receiver Operating Characteristic (ROC). The Area Under the Curve (AUC) derived from the ROC showed that for the male gender the indicator with the greatest discriminating capacity of the conditions of overfat and obesity was the WHtR and the wBMI for the female gender. The wBMI is therefore configured as an additional tool at the disposal of the healthcare professional aimed at framing the overfat and obese patient and monitoring him during the course of treatment. Moreover wBMI is an indicator able to provide information about the FM% constituting an accurate tool for the evaluation of the overfat and obese patient.
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Source |
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http://dx.doi.org/10.1007/s12020-022-03030-x | DOI Listing |
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