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 literature shows that an increased body mass index (BMI) may be a potential risk factor for periodontitis. Association between BMI and periodontitis has been ascribed to unhealthy dietary patterns with insufficient micronutrients and excess sugar and fat content.
Aim: The present study intended to assess the relation between BMI and periodontal status among state government employees in Shimla city, Himachal Pradesh in India.
Materials And Methods: The study sample comprised 1,008 subjects aged 18-58 years, drawn by a proportional sample from 10,908 employees. BMI was calculated by the Quetelet index as the ratio of the subject's body weight (in kg) to the square of the height (in meters). Periodontal status was recorded using the Community Periodontal Index (CPI). Binary multiple logistic regression analysis was done to assess the relation between BMI and periodontal status. The dependent variable for logistic regression analysis was categorized into control group (scores 0-2 of the CPI) and periodontitis group (scores 3 and 4 of the CPI).
Results: The overall prevalence of periodontal disease was 98.9%. Score 2 (bleeding and calculus) was the highest score prevailing among the subjects. They had an increased risk of periodontitis by 56% for each 1 kg/m(2) increase in BMI, which means that a higher BMI could be a potential risk factor for periodontitis among the adults aged 18 to 58 years.
Conclusion: BMI evaluation could be used in the assessment of periodontal risk.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000916 | PMC |
http://dx.doi.org/10.4103/2231-0762.122439 | DOI Listing |
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