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Chin J Dent Res ; 21(4): 241-247, 2018.
Article in English | MEDLINE | ID: mdl-30264040

ABSTRACT

OBJECTIVE: To assess the current periodontal status of 35 to 44-year-olds from the Chinese population and to analyse potential influence factors on periodontal disease. METHODS: The data of subjects were collected from both urban and rural areas of all 31 provinces, autonomous regions and municipalities of the mainland of China, as part of the 4th National Oral Health Survey. All subjects were aged 35 to 44 years old. In total, 4,410 subjects were enrolled in the present study. Each subject was asked to undergo a professional oral examination and to fill in a questionnaire. Periodontal health status was evaluated by probe bleeding, calculus, periodontal pocket depth and clinical attachment loss. The data were analysed using the chi-square test and binary logistic regression analysis. RESULTS: The prevalence of probe bleeding and calculus was 87.4% and 96.7% respectively among the 35 to 44-year-old population. Prevalence of shallow pockets (4 mm ≤ PD < 6 mm) and deep pockets (PD ≥ 6 mm) was 45.8% and 6.9% respectively among 35 to 44-year-old people. In addition, prevalence of clinical attachment loss (CAL > 3 mm) was 33.2%. Gender, educational level, smoking, teeth brushing frequency, dental floss and toothpick use were found relevant to periodontal condition. CONCLUSION: Periodontal disease was highly prevalent among 35 to 44-year-old Chinese adults. Gender, educational level, smoking, teeth brushing frequency, toothpick and dental floss use could be potential influence factors of periodontal health status.


Subject(s)
Dental Calculus/epidemiology , Educational Status , Periodontal Diseases/epidemiology , Periodontal Pocket/epidemiology , Smoking/epidemiology , Toothbrushing/statistics & numerical data , Adult , China/epidemiology , Dental Devices, Home Care , Dental Health Surveys , Female , Gingival Hemorrhage/epidemiology , Humans , Logistic Models , Male , Oral Hygiene/statistics & numerical data , Prevalence , Risk Factors , Sex Factors
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