Revista de Ciências da Saúde

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Abstrato

Oral Health Related Illness and Associated Factors among Bank Workers and Teachers in Addis Ababa, Ethiopia: Cross-Sectional Study

Daniel Getachew, Demelash Woldeyohannes, Seblewengel Lemma and Bizu Gelaye

Background: Oral health related illness is among serious public-health problems and the fourth most expensive diseases to treat in developing country. According to WHO estimation, in Ethiopia 71% of the population are affected by oral health related illness. Although oral health related illness is affecting the majority of Ethiopian, much is not known about the extents and the factors influencing the occurrence of oral health related illnesses; oral care practices and health care seeking behaviors. Objective: To determine the magnitude of oral health related illness and its associated factors among Bank employees and Teachers in Addis Ababa, Ethiopia. Methods: Data collected for Non-Communicable Diseases Survey among Bank employees and Teacher in Addis Ababa was used for this study. After carefully cleaning for completeness of data, 2144 study participants were considered for the study. The data were analyzed using SPSS version 20.0. Results: The magnitude of oral health related illness among study participants was 16.40%. Age (i.e., 55 years and older) (AOR=1.70; 95% CI: 1.01–2.87), work place (Commercial Bank of Ethiopia) (AOR= 1.46; 95% CI: 1.07– 2.01), poor/fair general health condition (AOR=1.31; 95% CI: 1.01–1.67) and Mental Distress (AOR=1.47; 95% CI: 1.03–2.10) were determined as associated factors for Oral health related illness. Conclusion: Magnitude of self-reported oral health related illness among the study participants was 16.40%. And the factors associated with oral health related illness were age, work place, general health condition and Mental Distress. This finding was relatively similar and comparable to another studies conducted in other places and still remained as a public health important issue.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado