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. 2020 May 19;20:147. doi: 10.1186/s12903-020-01125-3

Table 5.

Selected variables using training data shown to be associated with dental calculus, evaluated by multi-level logistic regression analyses (n = 3394)

Variables Categories Null model Model with individual and contextual variables
OR (95% CI) p
Fixed effect
Individual level
Gender Female 1
Male 1.32 (1.13, 1.54) < 0.01
hukou Rural 1
Urban 0.69 (0.59 0.82) < 0.01
Family size One child 1
More than one child 1.34 (1.12, 1.59) < 0.01
Father’s educational level Middle school or lower a 1
More than middle schoolb 0.46 (0.39 0.54) < 0.01
Mother’s educational level Middle school or lower a 1
More than middle schoolb 0.65 (0.59 0.82) < 0.01
Brushing frequency (times/day) Never 1
Sometimes 1.76 (1.21, 2.54) < 0.01
One 1.04 (0.771.42) 0.79
≥Twice 0.57 (0.42 0.78) < 0.01
Dental floss use Never 1
Yes 0.66 (0.48 0.90) 0.01
Sugar-containing soft drink/Pop/ milk/yogurt/tea/coffee/water ≤1/week 1
> 1/week 1.30 (1.11 1.53) < 0.01
Dental visit (last year) No 1
Yes 1.15 (0.96 1.39) 0.14

Frequency of dental curricula

(last semester)

0 1
≥1 0.85 (0.67, 1.07) 0.16
Random effect
Contextual level variance (SEc) 0.065 (0.42) 0.12 (0.07) 0.11
AICd 4277.8 3985.3
Average intercept 0.715 1.06365
VPCe 0.01438 0.022693

Abbreviations: aMiddle school or lower: ≤9 years; bMore than middle school: >9 years; cSE standard error, dAIC Akaike Information Criteria, eVPC variance partitioning coefficient