Dental Caries in Chinese Elderly People: Findings from the 4th National Oral Health Survey

Chin J Dent Res. 2018;21(3):213-220. doi: 10.3290/j.cjdr.a41077.

Abstract

Objective: To investigate the dental caries status and related factors in Chinese elderly people, using data from the 4th National Oral Health Survey of China.

Methods: In this cross-sectional study, a multistage, cluster strategy was used to recruit 4,431participants (2,222 male and 2,209 female) aged 65 to 74 years from all 31 provinces, autonomous regions and municipalities of the mainland of China. The survey was performed according to the diagnostic standard proposed by the World Health Organization (WHO). Socio-demographic information was collected with a closed questionnaire.

Results: The caries prevalence in 65 to 74-year-olds was rather high; the report shows it was 98.0% (DMFT ≥ 1) among elderly people in China. The mean DMFT, DT, MT and FT was 13.33 ± 9.32, 3.33 ± 4.17, 9.50 ± 8.66 and 0.49 ± 1.41, respectively. The filling rate was very low, assessed as 12.8%. The number of DMFT related to gender, residential district type, educational level, level of annual household income, toothbrushing frequency, consumption frequency of desserts, attitudes to oral health and oral health-related knowledge.

Conclusion: The prevalence of dental caries in Chinese elderly people is rather high and a lot of decayed teeth still need to be filled and suitable prevention and treatment for this group is urgently needed.

Keywords: caries; elderly people; prevalence; risk factors; the 4th National Oral Health Survey.

MeSH terms

  • Aged
  • China / epidemiology
  • Cross-Sectional Studies
  • DMF Index
  • Dental Caries / epidemiology*
  • Dental Health Surveys
  • Educational Status*
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Male
  • Meals*
  • Prevalence
  • Rural Population / statistics & numerical data
  • Sex Distribution
  • Surveys and Questionnaires
  • Toothbrushing / statistics & numerical data*
  • Urban Population / statistics & numerical data