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Year : 2016  |  Volume : 14  |  Issue : 2  |  Page : 150-153

A cross-sectional study to assess the effect of dental fluorosis on periodontal status

1 Department of Public Health Dentistry, National Dental College and Hospital, Dera Bassi, Punjab, India
2 Department of Public Health Dentistry, Genesis Dental College, Ferozpur, Punjab, India
3 Department of Public Health Dentistry, Teerthankar Mahaveer Dental College, Moradabad, Uttar Pradesh, India
4 Department of Public Health Dentistry, SDDHDC, Panchkula, Haryana, India
5 Department of Public Health Dentistry, Rayat and Bahra Dental College and Hospital, Mohali, Punjab, India
6 Department of Conservative and Endodontics, SGRD, Gurgaon, Haryana, India

Correspondence Address:
Amandeep Chopra
Department of Public Health Dentistry, National Dental College and Hospital, Derabassi, Punjab
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2319-5932.183818

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Introduction: The effect of fluoride in the reduction of dental caries is well established, its effect on periodontal tissues is enigmatic. Aim: The aim of this study is to investigate the association between dental fluorosis and the periodontal status. Materials and Methods: A cross-sectional study was conducted on a sample of 600 subjects suffering from fluorosis. Variables such as age, gender, and smoking, which could act as covariates for the periodontal disease were recorded. The oral examination included assessment of oral hygiene index-simplified (OHI-S), community periodontal index and treatment need, and assessment of dental fluorosis by Jackson's fluorosis index. Results: Periodontitis was more common in females than in males. As the age advances, the rate of periodontal disease increases steadily. Periodontitis was significantly associated with poor oral hygiene and tobacco usage. As the degree of fluorosis increased, the severity of gingivitis reduced and periodontitis increased. Conclusion: There is a strong association between the degree of dental fluorosis and periodontal disease along with other factors such as age, gender, OHI-S, and tobacco usage.

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