Periodontal conditions in adult Southern Chinese

J Dent Res. 2001 May;80(5):1480-5. doi: 10.1177/00220345010800051901.

Abstract

Periodontal diseases remain a concern in adult populations, but there have been no systematic descriptions of periodontal conditions, which have included periodontal attachment loss, among Southern Chinese. The main aim of this report is to describe the periodontal conditions in adult Chinese and to investigate factors that may have influenced periodontal attachment loss. Subjects were recruited from urban and rural survey sites throughout Guangdong. In total, 1,572 35- to 44-year-old subjects and 1,286 65- to 74-year-old subjects completed a structured interview and underwent a periodontal examination, which included the Community Periodontal Index (CPI) and periodontal Attachment Loss (ALoss) recordings. Calculus was found as the highest CPI score in 61-68% of the 35- to 44-year-old subjects and in 54-57% of the 65- to 74-year-olds. Shallow pockets were found as the highest CPI score in about one-third of both the urban and the rural subjects in both age groups, and deep pockets in 3-7% of the subjects. ALoss was more prevalent than pockets in both age groups. On the basis of the ALoss recordings, about one-third of the subjects in both age groups were categorized as exhibiting considerable ALoss for their age. In both age groups, logistic regression analysis indicated that being male, wearing partial dentures, and reporting less frequent toothbrushing were found to be associated with considerable ALoss.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Chi-Square Distribution
  • China / epidemiology
  • Denture, Partial / statistics & numerical data
  • Educational Status
  • Female
  • Health Behavior
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Logistic Models
  • Male
  • Oral Hygiene / statistics & numerical data
  • Periodontal Attachment Loss / epidemiology
  • Periodontal Diseases / epidemiology*
  • Periodontal Index
  • Risk Factors
  • Rural Health / statistics & numerical data
  • Socioeconomic Factors
  • Urban Health / statistics & numerical data