Inside more analyses i browsed the partnership between participants’ baseline risk/danger sign peak as well as their utilization of the program (Dining table 3)

The results show that baseline characteristics were only loosely correlated with the number of logins, completed monitoring assessments, page hits, and forum visits, while stronger associations were found with the more intense parts of the intervention (forum posts and chat participations). In addition, age was correlated with utilization between r_spearman=.17 (age ? logins) and r_spearman=.25 (age ? forum visits; all p < .01). 1.

Every correlations out-of Bmi having application had been less than

Most of the correlations out of Bmi with application was in fact lower than

All of the correlations away from Body mass index that have application was less than

The correlations off Body mass index which have application was in fact lower than

Every correlations out of Body mass index having use was lower than

The correlations from Body mass index with utilization was indeed less than

Every correlations off Bmi with use was indeed less than

All the correlations out of Body mass index with use have been less than

All of the correlations away from Bmi that have utilization was below

Every correlations off Body mass index which have use were below

All of the correlations out of Bmi having use had been less than

Every correlations off Body mass index which have application was in fact below

Every correlations regarding Bmi that have application was basically lower than

Every correlations from Bmi having use have been below

Every correlations of Bmi having application have been below

All the correlations from Body mass index having use had been less than

All correlations regarding Body mass index which have usage was indeed lower than