Improving the precision of behaviour change theories: Development and validation of a computational model of lapse risk in smokers attempting to quit

Información del proyecto

COMPLAPSE

Identificador del acuerdo de subvención: 101065293

DOI

10.3030/101065293

Proyecto cerrado

Fecha de la firma de la CE 31 Mayo 2022

Fecha de inicio 1 Octubre 2022

Fecha de finalización 30 Septiembre 2025

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 302 331,36

Coordinado por

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Publicaciones

Peer reviewed articles (4)

Do engagement and behavioural mechanisms underpin the effectiveness of the Drink Less app?

Autores: Claire Garnett; Larisa-Maria Dinu; Melissa Oldham; Olga Perski; Gemma Loebenberg; Emma Beard; Colin Angus; Robyn Burton; Matt Field; Felix Greaves; Matthew Hickman; Eileen Kaner; Susan Michie; Marcus Munafò; Elena Pizzo; Jamie Brown
Publicado en: npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024), 2024, ISSN 2398-6352
Editor: Springer Nature
DOI: 10.1038/s41746-024-01169-7

Personalization of digital health interventions: challenges and current best practices

Autores: Laura H.H. Winkens, Felix Naughton, Anouk Middelweerd, Olga Perski, Monique Simons
Publicado en: European Health Psychologist, Edición 24, 2025, ISSN 2225-6962
Editor: European Health Psychology Society
DOI: 10.62696/PS8MBV06

Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development

Autores: Olga Perski; Dimitra Kale; Corinna Leppin; Tosan Okpako; David Simons; Stephanie Paige Goldstein; Eric B. Hekler; Jamie Brown
Publicado en: PLOS Digital Health, Vol 3, Iss 8 (2024), 2024, ISSN 2767-3170
Editor: Public Library of Science
DOI: 10.31219/osf.io/jgrpy

Formal, dynamical systems modelling to advance health psychology theories: Interdisciplinary working where psychology meets mathematics

Autores: Olga Perski, Jim Allen
Publicado en: European Health Psychologist, Edición 23, 2025, ISSN 2225-6962
Editor: European Health Psychology Society
DOI: 10.62696/66JQ0X95