Strong association of depression and anxiety with the presence of back pain while impact of spinal imaging findings is limited: analysis of an MRI cohort study

Development of back pain is multifactorial, and it is not well understood which factors are the main drivers of the disease. We therefore applied a machine-learning approach to an existing large cohort study data set and sought to identify and rank the most important contributors to the presence of back pain amongst the documented parameters of the cohort. Data from 399 participants in the KORA-MRI (Cooperative Health Research in the Region Augsburg) study was analyzed. The data set included MRI images of the whole body, including the spine, metabolic, sociodemographic, anthropometric and cardiovascular data.

Source: The Journal of Pain - September 22, 2023 Category: Materials Science Authors: Veit M. Stoecklein, Sergio Grosu, Trayana Nikolova, Joerg-Christian Tonn, Stefan Zausinger, Jens Ricke, Christopher L. Schlett, Elke Maurer, Sven S. Walter, Annette Peters, Fabian Bamberg, Susanne Rospleszcz, Sophia Stoecklein Tags: Original Reports Source Type: research