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

Informazioni relative al progetto

COMPLAPSE

ID dell’accordo di sovvenzione: 101065293

DOI

10.3030/101065293

Progetto chiuso

Data della firma CE 31 Maggio 2022

Data di avvio 1 Ottobre 2022

Data di completamento 30 Settembre 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 302 331,36

Coordinato da

TAMPEREEN KORKEAKOULUSAATIO SR
Finland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (4)

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

Autori: 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
Pubblicato in: npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024), 2024, ISSN 2398-6352
Editore: Springer Nature
DOI: 10.1038/s41746-024-01169-7

Personalization of digital health interventions: challenges and current best practices

Autori: Laura H.H. Winkens, Felix Naughton, Anouk Middelweerd, Olga Perski, Monique Simons
Pubblicato in: European Health Psychologist, Numero 24, 2025, ISSN 2225-6962
Editore: 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

Autori: Olga Perski; Dimitra Kale; Corinna Leppin; Tosan Okpako; David Simons; Stephanie Paige Goldstein; Eric B. Hekler; Jamie Brown
Pubblicato in: PLOS Digital Health, Vol 3, Iss 8 (2024), 2024, ISSN 2767-3170
Editore: 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

Autori: Olga Perski, Jim Allen
Pubblicato in: European Health Psychologist, Numero 23, 2025, ISSN 2225-6962
Editore: European Health Psychology Society
DOI: 10.62696/66JQ0X95