Table 3. Sensitivity analysis: logistic regressions of whether or not the tooth lost 3 or more millimeters of attachment between the baseline and 48-month examinations
Odds ratios
Scenario #1: Scenario #2:
all lost teeth Lost teeth treated as all lost teeth
ARE assumed missing data (same are assumed NOT
Explanatory covariate to have had ALI method as in Table 2) to have had ALI
Tooth-specific characteristics
Worst attachment level on the tooth at
baseline was 7 or more mm 3.17 * 2.69 * 1.65
Was less than 7 mm -- -- --
Tooth was a molar 1.83 * 1.81 * 1.80 *
Tooth was a premolar 1.13 1.33 1.34
Tooth was a canine 1.25 1.27 1.34
Person characteristics during follow-up
Person reported losing at least one tooth
due to a periodontal reason† -- -- --
Person lost at least one tooth, but did not
report that this was due to a
periodontal reason† -- -- --
Person did not lose a tooth† -- -- --
Person did not report at least one dental
cleaning 2.65 * 2.08 * 1.89 *
Person reported at least one dental cleaning -- -- --
Person characteristics at baseline
Does not floss 1.42 * 1.86 * 1.86 *
Flosses some -- -- --
Current cigar or cigarette smoker 1.74 * 1.86 * 1.81 *
Never smoked or former smoker -- -- --
____________________________________________________________________________________________
Sample size
Number of persons 586 586 586
Number of teeth 11,557 10,702 11,557
† These variables were not included because only persons who lost a tooth were eligible to be asked these questions. Therefore, including these variables would lead to artifactually high parameter estimates for their effects.
Statistically significant parameter estimates (p < 0.05) are highlighted in bold and italic font.
The outcome of interest (attachment loss of a specific tooth) was coded 1 if the tooth lost 3 or more millimeters of attachment between the baseline and 48-month examinations, and 0 if not. The GENMOD procedure in SAS® was used with a logit link, binomial distribution, exchangeable correlation structure. Although the tooth was the unit of analysis, clustering of teeth within persons was accounted for in the correlation structure, allowing for both tooth-specific and person-level characteristics to be tested. Multicollinearity was measured using a procedure described by Belsley and colleagues,35 which is available in the REG procedure of SAS.27