A PHP Error was encountered

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

Assessment of relationship between body mass index and periodontal status among state government employees in Shimla, Himachal Pradesh. | LitMetric

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
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000916PMC
http://dx.doi.org/10.4103/2231-0762.122439DOI Listing

Publication Analysis

Top Keywords

periodontal status
16
body mass
8
status state
8
state government
8
government employees
8
employees shimla
8
himachal pradesh
8
bmi
8
bmi potential
8
potential risk
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!