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Table 3 Multiple logistic regression model for development of cognitive impairment

From: Association between tooth loss and cognitive impairment in community-dwelling older Japanese adults: a 4-year prospective cohort study from the Ohasama study

  Age- and sex-adjusted model Fully adjusted modela
OR (95% CI) P-value OR (95% CI) P-value
Age 1.07 (0.98–1.18) 0.1 1.14 (1.01–1.29) 0.03
Male gender 3.34 (1.32–8.46) 0.01 4.60 (1.25–16.7) 0.02
Hypertension    1.28 (0.44–3.70) 0.6
Diabetes    3.77 (0.79–18.0) 0.1
Cerebrovascular/cardiovascular disease    2.62 (0.68–10.1) 0.2
Hypercholesterolemia    1.68 (0.56–5.00) 0.3
Depressive symptoms    2.50 (0.54–11.4) 0.2
BMI    1.04 (0.87–1.25) 0.6
Current smoker    0.48 (0.69–3.42) 0.5
Current drinker    0.50 (0.14–1.72) 0.3
Duration of education    1.31 (0.33–5.14) 0.7
Baseline MMSE score    0.48 (0.31–0.74) 0.001
Multiple tooth loss 3.39 (1.29–8.88) 0.013 3.31 (1.07–10.2) 0.037
  1. The objective variable for the multiple logistic regression analysis was whether cognitive function declined within 4 years, and the explanatory variable was whether multiple tooth loss was present. Multiple tooth loss was defined as having 0–9 remaining teeth
  2. aAdjusted for age, sex, hypertension, diabetes, cerebrovascular/cardiovascular disease, hypercholesterolemia, depressive symptoms, BMI, current smoker status, current drinker status, duration of education, and baseline MMSE score
  3. BMI body mass index, CI confidence interval, MMSE Mini-Mental State Examination, OR odds ratio, SD standard deviation