“…Within the context of smoking cessation treatment -including both face-to-face and web-based treatment -several person-, smoking, and health-related predictors of adherence have been examined. The likelihood of being adherent increases with higher age [33,34], mal gender [34], being unemployed [35], higher internet skills [35][36][37], negative attitude towards smoking and higher motivation to quit at baseline [35,38], higher selfefficacy at baseline [38], early success in quitting after treatment start [26,33,39], and lower nicotine dependency at baseline and fewer withdrawal symptoms after quitting [34]. The question arises if these predictors apply to blended treatment as well.…”