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Prevalence and Associated Risk Factors of Periodontal Diseases Among Adults Attending Dental Department in Rwanda Military Hospital (Rwanda): a Cross-Sectional Study

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  • July 5, 2013
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Research Title:

Prevalence and Associated Risk Factors of Periodontal Diseases among Adults attending Dental Department in Rwanda Military Hospital (Rwanda): a cross-sectional study

J. Mutamuliza, 1 J. Olikiriza, 2 M. Isyagi, 3 and J. Ntaganira, 4

1 Department of Dentistry, Rwanda Military Hospital, P.O. Box: 3377, Kigali, Rwanda
2 Department of Research, Rwanda Military Hospital, P.O. Box: 3377, Kigali, Rwanda
3 Department of Dentistry, Faculty of Allied Health Sciences, Kigali Health Institute, P.O. Box: 3286 Kigali, Rwanda
4 Departments of Epidemiology and Biostatistics, School of Public Health, National University of Rwanda,
P.O. Box: 5229, Kicukiro, Kigali, Rwanda

Abstract

Periodontal diseases are among the most widespread bacterial diseases of mankind and are estimated to affect 10 to 15% of the population. Available data indicates that the prevalence of periodontal disease is very high in several African countries affecting all age groups. The purpose of the present investigation is to study the prevalence of periodontal diseases among 15 to 65 years old individuals attending the department of dentistry of the Rwanda Military Hospital (Rwanda). In addition, an attempt is made to elucidate possible risk factors of periodontal diseases in this population. The study sample will include 259 participants conveniently selected, aged 15-65 years old. Data will be collected using questionnaires and by clinical examination using Community Periodontal Index (CPI) of Community Periodontal Index of Treatment Need (CPITN). Plaque, calculus, gingival bleeding, periodontal pocket probing depth, gingival recession, and tooth loss will be recorded using a mouth mirror and periodontal probe. Cross tabulation, chi square statistics, analysis of variance (ANOVA) and logistic regression analyses will be used for statistical analysis at 5% level of significance. All statistical analyses will be performed using SPSS version...