Muscle composition as a possible biomarker for chronic back pain 

Researchers at the Technical University of Munich (TUM) have investigated the relationship between muscle quality and chronic back pain using whole-body magnetic resonance imaging (MRI) and artificial intelligence (AI) methods. The analysis of MRI data from approximately 30,000 participants in the German National Cohort (NAKO) showed that a higher proportion of adipose tissue in the back muscles and lower muscle mass were associated with chronic back pain. The study underlines that assessing muscle composition could be helpful in evaluating the risk of chronic back pain.

Back pain affects over 80 million people in Europe and is the most common cause of disability. If the pain persists for more than three months, it is referred to as chronic back pain, which not only reduces the quality of life of affected individuals, but also places a heavy financial burden on the healthcare system.

„Back pain, especially in its chronic form, is a multifactorial problem and often co-occurs together with other musculoskeletal disorders. Identifying modifiable factors such as physical activity, diet and everyday habits is not only essential for therapy management, but also offers enormous potential for primary prevention. Radiological whole-body imaging, using MRI, allows the precise quantification of individual body compartments through AI-supported models. The focus of our investigation was the skeletal muscles in the back area. These muscles are not only strongly influenced by lifestyle factors but, according to our hypothesis, also show altered composition in chronic back pain,” reports Dr Sebastian Ziegelmayer, scientist and physician at TUM University Hospital.

The whole-body MRI data of 27,518 NAKO participants aged between 19 and 74 were analysed. 21.8 per cent reported chronic back pain. Using MRI-based, AI-supported muscle segmentation, the back muscles were delineated and classified into fatty and non-fatty components. In the statistical analysis, the researchers adjusted for various factors such as age, gender, physical activity and comorbidities (diabetes, dyslipidaemia, osteoporosis and osteoarthritis), all of which have been proven to influence muscle composition.

The researchers’ analyses showed that a higher level of intermuscular adipose tissue was associated with an increased likelihood of chronic back pain, whereas greater muscle mass was linked to a lower likelihood. The study also provides evidence that physical activity – at a level consistent with World Health Organisation (WHO) recommendations of 150 minutes of moderate to strenuous exercise per week – correlated with the lowest incidence of back pain, while both too little and too much exercise increased the risk.

“However, our work also has limitations: The study design, which is based on data from a single time point, only allows us to draw conclusions about associations. Especially for back pain, which can be influenced by many factors, further studies are needed to investigate causal relationships and underlying mechanisms in more detail,” says Sebastian Ziegelmayer. “Muscle composition is often neglected in routine diagnostics, but it appears -particularly in combination with other factors such as lifestyle, psychological and biomechanical aspects- to be a possible piece of the puzzle for chronic back pain. We hope that our results will provide an impulse for further studies, enabling the development of individualised management strategies and thereby reducing the economic and social burden of chronic back pain.” 

More information

Contact 
PD Dr. Sebastian Ziegelmayer 
Institute for Diagnostic and Interventional Radiology
TUM University Hospital
Technical University of Munich
Ismaningerstr. 22,  
81675, München 
s.ziegelmayer@tum.de 

Originalpublication 
Ziegelmayer S, Häntze H, Mertens C et al. Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study, The Lancet Regional Health – Europe. 2025; 54, https://doi.org/10.1016/j.lanepe.2025.101323

Press contact:

Dr. Friederike Fellenberg
NAKO Gesundheitsstudie
Head of Project and Science Communication
Am Taubenfeld 21/2
69123 Heidelberg
Germany
Phone.: +49 6221 42620-62
E-mail: friederike.fellenberg@nako.de

German National Cohort (NAKO)

The German National Cohort (NAKO Gesundheitsstudie) is the largest long-term population study in Germany. Since 2014, over 205,000 randomly selected people have been medically examined and asked about their lifestyle habits in 18 study centres. At the beginning of the study, the participants were aged between 20 and 69.

The German National Cohort (NAKO) is a prospective epidemiological cohort study. The researchers observe a large group, a so-called cohort, of healthy, ill or formerly ill people over a long period of time. The aim is to use scientific analyses of the participants’ data to investigate the frequency and causes of common diseases such as cancer, diabetes or cardiovascular diseases, to identify risk factors and to show ways of effective prevention and early detection.

The research project is supported by 26 organisations. Scientists from universities, the Helmholtz Association, the Leibniz Association and other research institutes in Germany are working together in a nationwide network. The study is being carried out by the NAKO e.V. association. It is financed by public funds from the Federal Ministry of Research, Technology and Space (BMFTR), the Helmholtz Association and the participating federal states.