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Health Psychology Review|November 28, 2024
Does socioeconomic position moderate the associations between the content and delivery features of digital behaviour change interventions for smoking cessation and intervention effectiveness? A systematic review and meta-analysisCorinna Leppin, Tosan Okpako, Jamie Brown, et al.PLOS Digital Health|May 2, 2025
Exploring perspectives on digital smoking cessation just-in-time adaptive interventions: A focus group study with adult smokers and smoking cessation professionalsCorinna Leppin, Tosan Okpako, Claire Garnett, et al.Digital Health|March 31, 2025
Identifying behaviour change techniques, technical features and implementation options for a virtual reality intervention to motivate adult smokers to quit: A focus group study with healthcare and virtual reality expertsTosan Okpako, Corinna Leppin, Alessandro Chincotta, et al.Plos One|May 14, 2026
Optimising supervised machine learning algorithms predicting cigarette cravings and lapses for a smoking cessation just-in-time adaptive intervention (JITAI)Corinna Leppin, Jamie Brown, Claire Garnett, et al.Addictive Behaviors|December 24, 2023
Comparing identity, attitudes, and indicators of effectiveness in people who smoke, vape or use heated tobacco products: A cross-sectional studyDimitra Kale, Jamie Brown, Lynne Dawkins, et al.PLOS Digital Health|August 21, 2024
Cutting consumption without diluting the experience: Preferences for different tactics for reducing alcohol consumption among increasing-and-higher-risk drinkers based on drinking contextMelissa Oldham, Tosan Okpako, Corinna Leppin, et al.PLOS Digital Health|August 23, 2024
Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention developmentOlga Perski, Dimitra Kale, Corinna Leppin, et al.Pageof 1