Severity: Warning
Message: file_get_contents(https://...@remsenmedia.com&api_key=81853a771c3a3a2c6b2553a65bc33b056f08&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
Objective: Determining the prevalence and estimating the risk of obesity for dyslipidemia and hyperinsulinemia in adolescents. The existence of a linear association betweenanthropometric measures, lipids and insulin was also evaluated.
Material And Methods: A comparative study was carried out amongst obese (body mass index=BMI >95th percentile for age and gender; n=120) and non-obese adolescents (BMI <85th percentile for age and sex; n=120) aged 10-19. A structured questionnaire was used for collecting anthropometric and demographic data. Glucose, insulin and lipid profiles were obtained for each adolescent.
Results: Prevalence of at least one dyslipidemia was 56,6 % among obese adolescents and 20,8 % amongst non-obese ones (p<.001). The former registered 50 % prevalence of hyperinsulinemia, the latter 4 % (p<.001). Obesity increased hyperinsulinemia risk having a 23 odds ratio (8.3-68.9 95 % CI) and for at least one dyslipidemia (OR=5,0; 2,7-9,2 95 % CI). Insulin level significantly correlated with BMI (r=0,57), triglycerides (r=0,57), VLDL (r=0,57), HDL (-0,37), waist-hip circumference index (r=0,29), cholesterol (r=0,22), and LDL (r=0,13).
Conclusions: Obesity can be considered to be a risk factor for developing metabolic disorders in adolescents. In fact, there was a linear relationship between anthropometric measurement, lipids and insulin. Prevention should focus on improving predisposing environments for obesity amongst families having children and teenagers. Emphasising life-styles and healthy behaviour is essential, as well as training and treatment options for complete care of individuals in this age-group.
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Source |
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http://dx.doi.org/10.1590/s0124-00642007000200003 | DOI Listing |
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