Co-occurrent pain and psychological distress: From adolescence to adulthood

The project will use population-based data from four cross-sectional databases (SHoT, Young-HUNT1, Young-HUNT3 and Young-HUNT4) linked with prospectively collected data from national administrative and health registries.

Background

The analysis of co-occurrent persistent pain and psychological distress in youth represent a research field that few previous studies have investigated, despite the prevalence of this double disease burden, and despite the potential for social exclusion and long-term negative impact on health trajectories.

The project will provide new insight into the long-term consequences of early onset co-occurrent pain and psychological distress.

Methods

The use of machine learning can potentially contribute to development of more accurate prognostic tools that will benefit both the patient, the clinician and society. The project will use population-based data from four cross-sectional databases (SHoT, Young-HUNT1, Young-HUNT3 and Young-HUNT4) linked with prospectively collected data from national administrative and health registries. The current project will utilise the opportunity of data linkage between survey data and national registry data.

Members

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