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From smoking cessation to physical activity: Can ontology-based methods for automated evidence synthesis generalise across behaviour change domains?

Castro, Oscar; Norris, Emma; Wright, Alison J; Hayes, Emily; Howes, Ella; Moore, Candice; West, Robert; (2025) From smoking cessation to physical activity: Can ontology-based methods for automated evidence synthesis generalise across behaviour change domains? Wellcome Open Research , 9 , Article 402. 10.12688/wellcomeopenres.21664.2. Green open access

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Abstract

The Human Behaviour-Change Project (HBCP) wants to make it easier to gather and analyse information about how to change people's behaviour. To achieve this, the project collects reports about behaviour change interventions, code them based on an ontology (that is, a classification scheme to organise and represent information within a specific area), and use that data to train computer programs to automatically extract information from reports and make predictions. The project started with smoking cessation as a proof of concept but plans to expand to other behaviours. This study investigates how well the methods used for coding smoking cessation intervention reports could be applied to a new behaviour, physical activity, and describes how this new set of data on physical activity intervention reports was created. Building the HBCP physical activity data set involved: (1) checking if the ontology codes used for smoking cessation would work for physical activity, (2) deciding what kind of physical activity reports to include, (3) finding the reports, and (4) coding the reports using the ontology. During step 1 researchers found that some changes were needed to the codes used for smoking cessation, so they analysed 100 physical activity intervention reports and got feedback from experts to update the codes. After stages 2-4, they ended up with 111 physical activity reports coded using the ontology of behaviour change interventions. In conclusion, the methods used for coding smoking cessation intervention reports could mostly be applied to reports about physical activity interventions, but changes were needed in relation to the target behaviour (for example, how behaviour is measured or whether researchers want people to start vs stop doing something). The aim of this report is to help others looking to build a data set to improve ways in which information on behaviour change interventions is gathered and analysed.

Type: Article
Title: From smoking cessation to physical activity: Can ontology-based methods for automated evidence synthesis generalise across behaviour change domains?
Open access status: An open access version is available from UCL Discovery
DOI: 10.12688/wellcomeopenres.21664.2
Publisher version: https://doi.org/10.12688/wellcomeopenres.21664.2
Language: English
Additional information: © 2025 Castro O et al. This is an open access work distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Clinical, Edu and Hlth Psychology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10207150
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