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
This study was designed to define the most suitable anthropometric technique among body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) as indices of obesity in adult people living in Adana, a Southern province of Turkey. A random sample design was used. A total of 900 individuals (men and non-pregnant women aged 25-65 years) were enrolled in the study. Of subjects, 50.9% were females. Anthropometric measurements were performed. Data were analysed using statistical package program. The prevalence of obesity among adults living in Adana was 20.8% 28.4% when defined using BMI, 30.5% by WC and 15.8% 42.0% by WHR. Truncal obesity and gynoid obesity showed similar prevalence with 26.6%, in the same age group. Waist circumference, BMI and WHR identified different proportions of the population, as measured for obesity prevalence. The most common methods for diagnosing overweight and obesity are based on BMI (kg/m2). However, BMI is suboptimal marker for total body fat percentage and even less suitable to assess body fat distribution. WHR is the most useful measure of obesity and the best simple anthropometric index in predicting a wide range of risk factors and related health conditions.
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