Learning network for Advanced Behavioural Data Analysis (LABDA)

Lead Research Organisation: Glasgow Caledonian University
Department Name: Sch of Health and Life Sciences

Abstract

Recently, there has been a paradigm shift from the isolated focus on the health impact of a single behaviour (i.e. PA, sedentary behaviour or sleep) to the combination of these 24/7 movement behaviours for maximum health benefits. However, current public health guidelines are largely based on inaccurate self-report data and are, therefore, rather general (e.g. "move more and sit less"). Technological advancements have led to wearable sensor techniques providing rich time-series data over longer periods. Consequently, novel analysis methods are required to provide detailed insight into the links between multi-dimensional 24/7 movement behaviour profiles and health; which subgroups need particular attention; and what behavioural profiles are most important to target in interventions.
Developing such novel analysis methods, essential for creating the evidence base needed for optimal, tailored guidelines and feedback, requires a specific combination of knowledge and skills in epidemiology, data science, method development, and public health with a thorough understanding of what is needed to translate knowledge to guidelines and improve wearable technology feedback. In LABDA, we will therefore train 10 doctoral fellows to advance this interdisciplinary field and deliver a toolbox of advanced analysis methods for sensor-based behavioural data, together with a guide for other researchers and policy makers to decide which methods to use for which (research) question.

Publications

10 25 50
 
Description Presentation on PhD project ofLABDA Fellow 11 on Building a Taxonomy of Movement Behaviour using LLMs 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Presentation by LABDA Fellow 11 on his project of building a Universal 24 hour movement behaviour taxonomy using LLMs delivered at the LABDAacademy in Amsterdam in front to all LABDA PhD candidates (13), all supervisory team (15) and key partners (4)
Year(s) Of Engagement Activity 2023
 
Description Workshop on 24 hours activity taxonomy 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact We delivered a workshop on developping 24 hours movement behaviour taxonomy to the LABDA Academy in Amsterdam. The workshop was attended by all PhD Candidates from the LABDA network (13) and all supervisory teams (15 academics) and key partners (4 partners). This was based on the work done on the AlphaBET taxonomy (see DOI below)
Year(s) Of Engagement Activity 2023