JMIR Publications

ABSTRACT

Background:

The reasons and underlying factors that lead to successful quitting are unclear due to the presence of ambiguous findings in the literature, irrespective of gender, age, health, and employment status.

Objective:

The study aims to find the variables that influence therapy success and help a user to quit during a cessation intervention therapy, and evaluate the effect of gender, age group, health, and employment status on the variable importance.

Methods:

A range of information, from a widely available mobile-based digital intervention therapy, “Adiquit” was extracted and categorized into two groups based on the user’s finishing status in the therapy. A set of statistical analyses, along with univariate and multivariate logistic regression, was employed to identify the associated variables that help users quit smoking.

Results:

As per the obtained results, the three most important predictors of therapy success are having social support, a positive attitude towards therapy success during the initial stage, and a higher value of log information (number of sessions completed and screen time) in the initial days. However, a bias in the importance of these factors was observed based on gender, age group, health status, and employment status.

Conclusions:

The results obtained in the current study will help in understanding the bias in influential factors that help a user quit based on gender, age group, health, and employment status. Clinical Trial: 0000-01/24/51902/EKČVUT