HEИндивидуална стипендия2022–2025

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

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период: 2022-10-01 → 2025-09-30
Финансиране от ЕС: 302 331 €
Участници: 2
Схема: HORIZON-TMA-MSCA-PF-GF

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Накратко на български

Рискът от повторно пушене се анализира чрез математически модел, който отчита фактори като социални влияния и внезапни желания за цигара. Това помага за създаването на по-точни и персонализирани цифрови методи за подкрепа при спиране на тютюнозата.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

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

Tobacco smoking remains the leading preventable cause of premature morbidity and mortality in Europe. Gold standard treatment for smoking cessation includes pharmacotherapy and behavioural support. However, smoking lapses – influenced by momentary fluctuations in cravings and social cues – are a key source of treatment failure. COMPLAPSE aims to advance the state-of-the-art by developing and validating a dynamic computational model of lapse risk, improving the precision of static behaviour change theories to account for observed complexities and laying the foundation for dynamically tailored, person-centred digital smoking cessation interventions for increased effectiveness. COMPLAPSE is interdisciplinary in scope – drawing on know-how from behavioural science, engineering, and computer science – and directly contributes to Europe’s Path to the Digital Decade and its Strategic Framework for the Prevention of Non-Communicable Diseases. COMPLAPSE aims to address the following Research and Innovation Objectives (ROIs), with each ROI associated with a dedicated Work Package (WP): ROI1. To develop a conceptual model of lapse risk, drawing on stakeholder input and the researcher’s knowledge of the available literature via participatory systems mapping (WP1). ROI2. To formulate mathematical equations for each component in the conceptual model and conduct a series of computer simulations (WP2). ROI3. To collect and analyse EMA and sensor data and use this to validate the expert-derived dynamic computational model (WP3).

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Tobacco smoking remains the leading preventable cause of premature morbidity and mortality in Europe. Gold standard treatment for smoking cessation includes pharmacotherapy and behavioural support. However, smoking lapses influenced by momentary fluctuations in cravings and social cues are a key source of treatment failure. COMPLAPSE aims to advance the state-of-the-art by developing and validating a dynamic computational model of lapse risk, improving the precision of static behaviour change theories to account for observed complexities and laying the foundation for dynamically tailored, person-centred digital smoking cessation interventions for increased effectiveness. COMPLAPSE is interdisciplinary in scope drawing on know-how from behavioural science, engineering, and computer science and directly contributes to Europes Path to the Digital Decade and its Strategic Framework for the Prevention of Non-Communicable Diseases. First, a conceptual model will be developed by articulating a diverse group of stakeholders (e.g., researchers, policymakers, smokers) dynamic predictions through participatory systems mapping. Next, a computational model will be developed through formulating mathematical equations for each model component, followed by a series of simulations to iteratively refine the model to align with stakeholders predictions. Finally, the model will be validated against temporally dense experience sampling and sensor data collected in smokers daily lives to critically examine whether the computational model outperforms static state-of-the-art theories. The research objectives are linked to key training, knowledge transfer and communication activities to advance the researchers expertise and transferrable skills, enabling her to develop independence; valorise the researchers knowledge within the associated partner organisation and beneficiary; and disseminate the results to the scientific community, industry professionals, and the public.

Оригинален текст от CORDIS (на английски).

Участници

TAMPEREEN KORKEAKOULUSAATIO SR · TampereКоординаторФинландия
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA · OaklandСъединени щати