Statistical analysis
tooth brushing frequency
REGRESSION, PLAQUE
Data were analyzed using SPSS 25.0 for Windows (SPSS Inc., Chicago, USA). Significance was set at A multilevel binary logistic regression analysis was used to assess the effect of the intervention on lesion activity (active versus not active) after 6 months, controlling for confounders (age, sex, mother’s education, tooth surface categorized into proximal, buccal/ lingual or occlusal, baseline dmfs score, baseline lesion severity measured by ICDAS score (classified into moderate lesions- ICDAS 3/ 4 and advanced lesions- ICDAS 5/ 6), brushing frequency, dental visits frequency, and sugar consumption score). The plaque index score was removed from the regression model due to collinearity with tooth brushing frequency. Adjusted odds ratios (AORs), 95% confidence intervals (CIs) and p values were calculated. The interaction of baseline ICDAS score (moderate and advanced lesions) and intervention was assessed by calculating the p value of the interaction followed by calculating the AORs comparing the four subgroups.