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Smoking Cessation Smartphone App for Nondaily Smoking With Telephone Onboarding: Proof-of-Concept Randomized Controlled Trial

Smoking Cessation Smartphone App for Nondaily Smoking With Telephone Onboarding: Proof-of-Concept Randomized Controlled Trial

Effect sizes for these outcomes were reported as r=Z/sqrt(N), where Z is the test statistic from the Wilcoxon rank sum test and N is the total number of observations (ie, participants), and which are interpreted such that 0.1 is small, 0.3 is medium, and 0.5 is large [70]. Effect sizes for the logit models are presented as odds ratios with 95% CIs.

Bettina B Hoeppner, Kaitlyn R Siegel, Allison E Futter, Diadora Finley-Abboud, Alivia C Williamson, Christopher W Kahler, Elyse R Park, Susanne S Hoeppner

JMIR Mhealth Uhealth 2025;13:e53971

Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study

Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study

The correlation between these 3 app usage indices was high, especially between any content and happiness content (r=0.995), but only somewhat lower for smoking content with any content (r=0.89) and happiness content (r=0.88). Odds ratio of app usage predicting self-reported 30-day point prevalence abstinence. The odds ratio is based on a single-day increase in app usage of the indicated content (ie, "any content," "happiness content," "or smoking cessation content").

Bettina B Hoepper, Kaitlyn R Siegel, Hannah A Carlon, Christopher W Kahler, Elyse R Park, Steven Trevor Taylor, Hazel V Simpson, Susanne S Hoeppner

JMIR Form Res 2022;6(7):e38234