The funding applied for in the current proposal will be used to acquire data on about 10 000 participants in the ongoing 4th survey of the Nord-Trøndelag Health Study (HUNT4). The data will be used to expand the ongoing EU-funded Back-UP project. In HUNT4, we are collecting 7-days physical behaviour data with two accelerometers attached to the skin on the right thigh and low back. By utilising state-of-the-art machine-learning techniques, we have developed a data model that classify time with sitting, standing, walking, running, cycling and lying down with an overall accuracy of about 95%. Along with the recordings of physical behaviour, a range of other relevant health parameters are collected in HUNT4, including pain in low back and neck. The HUNT4 data collection started in September 2017 and runs until February 2019. Based on the current participation rate, we will obtain objective measurements of physical behaviour from about 33 000 people. Thus, these data provide and a unique opportunity to study the association between physical behaviour and neck and/or low back pain. To establish the HUNT4 dataset, it is necessary to 1) perform a quality check and clean the data (e.g., some participants removed one or both sensors before the end of the 7-day recording, some sensor may have malfunctions etc.), 2) process the data with our most up-to-date model to classify time with different physical behaviours, and 3) extract a limited number of other health data relevant for the prognostic model. We foresee that 3-4 person-months are required to create the HUNT4 dataset. The dataset will have significant impact on the quality and potential impact of the prognostic models developed in Back-UP. Moreover, the uniqueness of the physical behaviour data in HUNT4, and the potential for ground-breaking research based on these data, will strengthen our possibilities for attracting further EU funding.
Project leader: Paul Jarle Mork
Institution: Institutt for samfunnsmedisin og sykepleie