Sentence examples for based quit from inspiring English sources

Consistent with previous research [ 3, 6, 7, 11], these findings suggest that more heavily addicted smokers (based quit duration and age) are more likely to use assistance in quitting, while less addicted smokers are more likely to quit cold turkey.

Of particular importance is the 12 month quit rate of 11% following a genetic test compared with the 6% base quit rate [ 17].

The aim of the present work was to examine the quit rates among participants who received smoking cessation pharmacotherapy and pharmacist-provided telephone-based quit counseling services.

Data was not available in the Massachusetts BRFSS to determine whether there was any increase in evidence-based quit attempts in the post-benefit period.

8 10 Sub-optimal use of evidence-based quit smoking medications and premature discontinuation of pharmacotherapy has been linked to poorer rates of smoking abstinence.

When support was offered, the most common types were personal encouragement (81%), access to (telephone) Quitline (61%), written information (57%), referral to (telephone) Quitline (52%), free NRT (20%) and/or work-based quit counselling (14%).

If so, they were asked to identify the type of support: personal encouragement, access to (telephone) Quitline, written information, referral to (telephone) Quitline, free NRT and/or work-based quit counselling.

Biochemically confirmed abstinence rates of 23.1% at 1-month and 15.7% at 6-month post-quit are on par with web-based quit line interventions cited in a recent meta-analysis [ 5], and even perhaps encouraging when targeting recruitment to a low SES population.

Quit Genius also comes with a community of fellow quitters (which is monitored by doctors and psychologists, to let users connect with one another in their path to quitting. The base Quit Genius costs $4/month.

To identify factors associated with adolescent smokers' desire to quit based on the 2006 Cyprus Global Youth Tobacco Survey.

In Jovanovic the entrepreneur decides if and when to quit based on her updated information on her skills; in our model the VC makes the decision for her.