All-cause mortality and periodontitis in 60-70-year-old men: a prospective cohort study

J Clin Periodontol. 2012 Oct;39(10):940-6. doi: 10.1111/j.1600-051X.2012.01923.x. Epub 2012 Jul 27.

Abstract

Objective: To investigate the association between periodontitis and mortality from all causes in a prospective study in a homogenous group of 60- to 70-year-old West European men.

Methodology: A representative sample of 1400 dentate men, (mean age 63.8, SD 3.0 years), drawn from the population of Northern Ireland, had a comprehensive periodontal examination between 2001 and 2003. Men were divided into thirds on the basis of their mean periodontal attachment loss (PAL). The primary endpoint, death from any cause, was analysed using Kaplan-Meier survival plots and Cox's proportional hazards model.

Results: In total, 152 (10.9%) of the men died during a mean follow-up of 8.9 (SD 0.7) years; 37 (7.9%) men in the third with the lowest PAL (<1.8 mm) died compared with 73 (15.7%) in the third with the highest PAL (>2.6 mm). The unadjusted hazard ratio (HR) for death in the men with the highest level of PAL compared with those with the lowest PAL was 2.11 (95% CI 1.42-3.14), p < 0.0001. After adjustment for confounding variables (age, smoking, hypertension, BMI, diabetes, cholesterol, education, marital status and previous history of a cardiovascular event) the HR was 1.57 (1.04-2.36), p = 0.03.

Conclusion: The European men in this prospective cohort study with the most severe loss of periodontal attachment were at an increased risk of death compared with those with the lowest loss of periodontal attachment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cause of Death*
  • Cohort Studies
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Northern Ireland / epidemiology
  • Periodontal Attachment Loss / classification
  • Periodontal Attachment Loss / mortality*
  • Periodontitis / classification
  • Periodontitis / mortality*
  • Proportional Hazards Models
  • Prospective Studies
  • Severity of Illness Index
  • Whites / statistics & numerical data