Fig. 3: Weight and BMI gained relates to RP-biorhythm.
From: Dental biorhythm is associated with adolescent weight gain
a Scatter plot illustrating that the best way to model the significant relationship between log-transformed weight gained after 14 months and log-RP (n = 58) was through a curvilinear quadratic regression model. Excludes outlier. b Scatter plot illustrating the significant relationship between log-transformed BMI gained after 14 months and log-RP (n = 54). Excludes two outliers and RP of 10 (n = 2). c Kruskal–Wallis H-test with multiple comparisons illustrating the significantly greater gain in weight for those with RP of 7 (n = 12) or 8 days (n = 15) compared to those with an RP of 6 days (n = 14; one outlier removed). d Kruskal–Wallis H-test with multiple comparisons showing the significantly greater BMI for those with RP of 7 (n = 12) or 8 days (n = 15) compared to those with an RP of 6 days (n = 16; one outlier removed). e BMI percentile at the start of the project split into those that have a percentile that is less than 95% and greater than 95% compared to a faster (low RP value) and slower biorhythm (high RP value); and f after 14 months, illustrating the significant association between obesity and a slow biorhythm. **p < 0.05. Data are represented as box plots in c and d showing interquartile ranges and whiskers that illustrate the minimum and maximum values that were not outliers. Bars represent the number of individuals in e and f.
