PR139: Association between periodontal biotype and clinical parameters: a cross-sectional study in patients with skeletal class III malocclusion

2018 ◽  
Vol 45 ◽  
pp. 167-167
Keyword(s):  
Cross Sectional Study ◽  
Clinical Parameters ◽  
Class Iii ◽  
Sectional Study ◽  
Class Iii Malocclusion ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Periodontal Biotype

scholarly journals Analysis of orthopedic treatment of skeletal Class III malocclusion with Rapid Palatal Expansion and Face Mask therapy

2019 ◽  
Vol 22 (4) ◽  
pp. 467-474
Author(s):  
Ana de Lourdes Sá De Lira ◽  
Igo Rafael Costa Araújo
Keyword(s):  
Face Mask ◽  
Cross Sectional Study ◽  
Mixed Dentition ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Maxillary Expansion ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Rapid Palatal Expansion ◽  
Maxillary Deficiency

Aim: To demonstrate the main effects on maxillary and facial profile after treatment with expansion and face mask therapy in patients pattern III Class III. Material and Method: A cross-sectional study of maxillary expansion and reverse traction performed in 4 patients with maxillary deficiency, in the pre-peak pubertal growth stage and in the mixed dentition, with cephalograms before and after treatment, using angular measurements (SNA, SNENA, ANL and 1NA) and linear (S’-ENA, S’-A, 1-NA, OVERJET, S-LS and S-LI) and plot overlays. Results: Improvement in overjet was observed, going from negative to positive in all cases treated with incisor uncrossing, although it was not statistically significant. The upper and lower labial posture with respect to the base of the nose and the ment improved significantly, represented by the measurements S-LS and S-LI, with a change from the concave profile to slightly convex. Conclusion: Class III malocclusion with maxillary deficiency treated with rapid maxillary disjunction and reverse traction with facial mask was effective in both groups, with maxillary protraction and shifting in the concave to slightly convex profile.KeywordsFacial Mask; Rapid maxillary expansion; Class III.

scholarly journals ORTHODONTIC PATIENTS

2011 ◽  
Vol 18 (04) ◽  
pp. 611-614
Author(s):  
RANA MODASSIR SHAMSHER KHAN ◽  
ALI SAAD TARIQ
Keyword(s):  
Total Sample ◽  
Class Ii ◽  
Cross Sectional Study ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Sectional Study ◽  
Class Iii Malocclusion ◽  
Cross Sectional ◽  
Orthodontic Patients ◽  
Males And Females

Objectives: To find out the prevalence of malocclusion in patients visiting orthodontic department of Lahore medical and dental college (LMDC). Study Design: It is a cross sectional study. Place of study: Orthodontic department, Lahore medical and dental College. Lahore. Material and methods: Malocclusion was clinically examined by using Angle’s classification in 1143 patients (708 girls and 435 boys). Results: Class I malocclusion was found in 23.27% of the total sample. Class II malocclusion was found in 53.19% and Class III malocclusion in 8.66% of sample. No statistically significant differences were found in distribution of malocclusion between males and females. Conclusions: The study revealed that Class II malocclusion predominated among patients visiting orthodontic department of LMDC.

scholarly journals Determination of Sagittal Skeletal Discrepancy through Beta Angle: A Lateral Cephalometric Study

2020 ◽  
Vol 10 (3) ◽  
pp. 40-43
Author(s):  
Farah Saleem ◽  
Zubair H Awiasi
Keyword(s):  
Correct Diagnosis ◽  
Cross Sectional Study ◽  
X Rays ◽  
Class Iii ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Skeletal Class Ii ◽  
Beta Angle ◽  
Third Line ◽  
Cephalometric Study

Introduction: Accurate classification and treatment planning relies on correct diagnosis of skeletal and dentalrelationships. Commonly used measurements used to classify sagittal relationship ANB and Wit’s appraisal are not without potential inherent problems which might lead to less accurate classification of sagittal dysplasia. To avoid these problems, a new approach Beta angle was introduced by Baik in 2004. Beta angle as it involves different landmarks of classifying anterior-posterior relationships is said to be devoid of those problems thus more reliable. We conducted a cross sectional study to measure the angle among patients presenting in Nishtar Institute of Dentistry Multan Pakistan. Materials and Method: Ninety pretreatment cephalometric x-rays of patients between ages 12 to 30 years were selected and studied. They were divided into three classes based on ANB angle and Wit’s appraisal. For the measurement of Beta angle, a line was drawn from the center of condyle (C) to point A and other to point B. A third line joining A to B was drawn. A line from point A perpendicular to line C-B was drawn and angle was measured between this perpendicular and line joining A-B. ANOVA was used to compare means of three groups. Pearson correlational coefficient was used to correlate relationship between Beta angle and ANB angle. Result: The results showed Beta angle ranged between 27° and 34° for class I. Subjects having angle less than 27° can be classified as skeletal class II and those with angles larger than 34° as skeletal class III subjects. Conclusion: Beta angle is reliable method for assessing and classifying sagittal skeletal discrepancies 

scholarly journals An epidemiological cross-sectional study to assess the socio-demographic profile and to study the prevalence of overweight and obesity among adults in an urban slum of Mumbai

2017 ◽  
Vol 4 (8) ◽  
pp. 2718
Author(s):  
Daniel A. Saji ◽  
Mahesh B. Jajulwar ◽  
Anita G. Shenoy
Keyword(s):  
Significant Relationship ◽  
Urban Slum ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Age Group ◽  
Class Iii ◽  
Sectional Study ◽  
Cross Sectional ◽  
Obesity Epidemic ◽  
Economic Class

Background: Obesity is perhaps the most prevalent form of malnutrition. As a chronic disease, prevalent in both developed and developing countries, and affecting both children and adults. In India due urbanization and modernization people are moving into urban centres and along with increasing wealth, concerns about an obesity epidemic in India are growing. The present study was carried out to assess the demographic distribution and prevalence of overweight and obesity in adults in an urban slum. Methods: The cross sectional study includes 350 adult populations from the Shivaji Nagar (Govandi) urban slum of the Mumbai city in India and study was carried out over a period of one year from August 2014 to July 2015. Results: Our study showed that most of subjects are in the age group of 38-57. Sex distribution was relatively equal with 44% males and 56% females. Majority of the population were Muslims. Majority of the subjects (50.6%) belong to class III, (26.9%). 32.3% subjects were obese and 8.6% were overweight according to BMI (basal metabolic index) while merely 6.6% were overweight according to WHR (waist to hip ratio). Thus BMI was found to be a better indicator than WHR for measuring obesity. Conclusions: From the present study it was seen that age group of the subjects, socio economic class, and level of education had a significant relationship with BMI, whereas sex of the subjects had non-significant relationship with BMI. 

scholarly journals Prevalence of smartphone addiction in an urban area of Kanchipuram district, Tamil Nadu: a cross sectional study

2019 ◽  
Vol 6 (10) ◽  
pp. 4218
Author(s):  
Renuka K. ◽  
Gopalakrishnan S. ◽  
Umadevi R.
Keyword(s):  
Mobile Phones ◽  
Tamil Nadu ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Study Data ◽  
Smartphone Addiction ◽  
Class Iii ◽  
Sectional Study ◽  
Cross Sectional ◽  
Attitudinal Changes

Background: The use of mobile phones especially smart phones have become an integral part of everyone’s life leading to addiction. Most of the studies conducted earlier were focused on youngsters. Hence this study was conducted to find out the prevalence of smart phone addiction in the study area.Methods: Community based cross sectional study carried out in Anakaputhur, Tamil Nadu from November 2018 to January 2019. Sample size of 400 was calculated using the formula 4PQ/L2. The respondents were selected by systematic random sampling. Subjects 18 years and above who are using mobile phones were included in the study. Data was analyzed using SPSS 16 version and presented using descriptive and analytical statistics.Results: Out of 405 participants 191 participants were non smart phone users and 214 were smart phone users. Overall prevalence of smart phone addiction was 27.6%. Male respondents were more addicted than the female (OR-1.94, 95%CI: 1.12-3.77, p=0.01). There was a statistically significant association between subjects <45 years of age and smart phone addiction (OR-2.33, 95% CI: 1.31-4.13, p=0.003) compared to older age group. Likewise respondents who were class III (modified BG Prasad Scale) and above were more addicted compared to subjects below class III (OR-2.29, 95% CI: 1.32-3.98, p=0.002).Conclusions: The prevalence of smart phone addiction is high that has to be addressed seriously. This can be tackled by better life style modification, awareness creation and attitudinal changes.

scholarly journals Relationship between skeletal Class II and Class III malocclusions with vertical skeletal pattern

2019 ◽  
Vol 24 (4) ◽  
pp. 63-72
Author(s):  
Sonia Patricia Plaza ◽  
Andreina Reimpell ◽  
Jaime Silva ◽  
Diana Montoya
Keyword(s):  
Class Ii ◽  
Class Ii Malocclusion ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Multinomial Regression ◽  
Lateral Cephalogram ◽  
Cross Sectional ◽  
Skeletal Class ◽  
Skeletal Class Ii ◽  
Skeletal Pattern

ABSTRACT Objective: The purpose of this study was to establish the association between sagittal and vertical skeletal patterns and assess which cephalometric variables contribute to the possibility of developing skeletal Class II or Class III malocclusion. Methods: Cross-sectional study. The sample included pre-treatment lateral cephalogram radiographs from 548 subjects (325 female, 223 male) aged 18 to 66 years. Sagittal skeletal pattern was established by three different classification parameters (ANB angle, Wits and App-Bpp) and vertical skeletal pattern by SN-Mandibular plane angle. Cephalometric variables were measured using Dolphin software (Imaging and Management Solutions, Chatsworth, Calif, USA) by a previously calibrated operator. The statistical analysis was carried out with Chi-square test, ANOVA/Kruskal-Wallis test, and an ordinal multinomial regression model. Results: Evidence of association (p< 0.05) between sagittal and vertical skeletal patterns was found with a greater proportion of hyperdivergent skeletal pattern in Class II malocclusion using three parameters to assess the vertical pattern, and there was more prevalent hypodivergence in Class III malocclusion, considering ANB and App-Bpp measurements. Subjects with hyperdivergent skeletal pattern (odds ratio [OR]=1.85-3.65), maxillary prognathism (OR=2.67-24.88) and mandibular retrognathism (OR=2.57-22.65) had a significantly (p< 0.05) greater chance of developing skeletal Class II malocclusion. Meanwhile, subjects with maxillary retrognathism (OR=2.76-100.59) and mandibular prognathism (OR=5.92-21.50) had a significantly (p< 0.05) greater chance of developing skeletal Class III malocclusion. Conclusions: A relationship was found between Class II and Class III malocclusion with the vertical skeletal pattern. There is a tendency toward skeletal compensation with both vertical and sagittal malocclusions.

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