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논문 기본 정보

자료유형
학술저널
저자정보
Linda Soetanto Kusdhany (Center for Ageing Studies Universitas Indonesia) Tri Budi Rahardjo (Center for Ageing Studies Universitas Indonesia) Dinni Agustin (Center for Ageing Studies Universitas Indonesia) Chaidar Masulili (Faculty of Dentistry Universitas Indonesia) Sri Lelyati (Faculty of Dentistry Universitas Indonesia) Eef Hogervorst (Human Sciences Loughborough University Loughborough United Kingdom)
저널정보
대한예방치과학회 International Journal of Clinical Preventive Dentistry International Journal of Clinical Preventive Dentistry Vol.11 No.4
발행연도
2015.1
수록면
261 - 264 (4page)

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Objective: The aim of this study was to determine the relationship oral hygiene status with the decline of cognitive function, and also considered other factors such as age, gender and education level. The benefits of this study is to improve quality of life of older person through an increase in oral health. Methods: Design of this study was cross-sectional, With 224 elderly subjects taken purposively from elderly in posbindu Citengah Sumedang and south Jakarta. Assessment of cognitive function was done using the mini-mental state examination (MMSE) developed by Folstein and has been validated. MMSE assessment conducted by interviewing subject and by observation. Cut off point used for MMSE score is 24. Oral health examination was done using oral hygiene index (OHIS) with cutoff point 2.9. Statistical Analysis was done using univariate analysis to see the data distribution of observed variables, bivariate analysis to assess the relationship observed variables with cognitive function of elderly and multivariate analysis to determine variables that most contribute to the cognitive function of elderly. Results: The result showed that 74.8% of subjects with MMSE scores above 25 have OHIS value below 3, it indicates that the better the cognitive function of the subject, in line with improvements of the subject’s oral hygiene. Multivariate analysis showed that level of education,age and OHIS have association with MMSE scores (p≤0.05). Conclusion: Level of education, age and OHIS have association with level of cognitive function.

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