Predicted means of log-ins adjusted for age, gender, job type, employer, ethnicity, state, baseline weight, baseline systolic blood pressure, baseline glucose, and baseline lipid status.

<p>Predicted means of log-ins adjusted for age, gender, job type, employer, ethnicity, state, baseline weight, baseline systolic blood pressure, baseline glucose, and baseline lipid status.</p

Poisson regression model.

<p>Here we present estimates and p-values outlining the association between baseline parameters and cumulative log-ins over one year. Patients who were older, female, of multiple or Hispanic ethnicities, and had increased waist circumference at baseline were more likely to participate throughout the year. (*p-value meets significance at a value <0.05).</p

Baseline parameters of Non-participants, very low-use participants (those who logged in less than 12 times per year), monthly participants, weekly participants, and semi-weekly (twice per week) participants of the DHI-based WHP.

<p>Baseline parameters of Non-participants, very low-use participants (those who logged in less than 12 times per year), monthly participants, weekly participants, and semi-weekly (twice per week) participants of the DHI-based WHP.</p

Changes from baseline in CVD risk factors after one year among non-participants, very low-use participants (those who logged in less than 12 times per year), monthly participants, weekly participants, and semi-weekly (twice per week) participants in the DHI-based WHP.

<p>(#—When treated as a scale, the association between frequency and HDL increase was highly significant (p = 0.0082). @—When treated as a scale, the association of frequency with glucose change was negative, with a p-value of 0.083.).</p