Bio

Mattias Rydberg, MD, PhD, is a hand surgeon and postdoctoral scholar in the Division of Plastic and Reconstructive Surgery at Stanford University School of Medicine. His research focuses on epidemiology, machine learning, and digital health technologies in hand surgery and musculoskeletal disease. Dr. Rydberg completed his medical and doctoral training at Lund University in Sweden, where his PhD work focused on diabetic hand disorders and large-scale register-based research.

At Stanford, he works in the laboratory of Dr. Paige Fox, studying peripheral nerve disorders, fibroproliferative diseases, and AI-based motion tracking technologies for upper extremity assessment. His current projects include national database studies on diabetes and entrapment neuropathies, frozen shoulder and Dupuytren’s disease, and the development of camera-based hand motion analysis tools using machine learning and computer vision.

Stanford Advisors

Contact

  • Academic
    mrydberg@stanford.edu
    University - Scholar Department: Surgery Position: Postdoctoral Scholar

Additional Info

All Publications

  • Body mass index and the risk of ulnar nerve entrapment inindividuals without diabetes-a longitudinal cohort studyfrom Sweden INTERNATIONAL JOURNAL OF OBESITY Rydberg, M., Dahlin, L. B., Nilsson, P. M., Zimmerman, M. 2025; 49 (11): 2358-2363

    Abstract

    Ulnar nerve entrapment (UNE) is a common disorder with many associated risk factors. Diabetes mellitus (DM) is an established risk factor, but less is known about metabolic risk factors in individuals without diabetes. Our study aimed to explore the association of body mass index (BMI) with UNE during long-term follow-up.The population-based cohort study Malmö Diet and Cancer Study (MDCS) and the Swedish Patient Register (NPR) were cross-linked. Between 1991 and 1996, 30,446 subjects were recruited to MDCS and were followed to a diagnosis of UNE, emigration, death, or end of study on December 31, 2020. BMI at study entry was stratified into normal weight (<25), overweight (25-30) and obesity (>30). To omit the effect of DM, individuals with prevalent or incident DM were excluded. To calculate the association between BMI and incident UNE, Cox proportional hazard models adjusted for age, sex, hypertension, smoking, manual work, and alcohol consumption were used.A total of 23,254 individuals were followed for over 25 years, whereof 192 (0.8%) developed UNE. In the multivariable Cox regression models, BMI was independently associated with UNE (HR 1.07; 95% CI 1.03-1.11, p < 0.001). Both overweight (HR 1.55; 95% CI 1.12-2.15, p < 0.01) and obesity (HR 2.23; 95% CI 1.40-3.57, p = 0.001) were associated with an increased risk compared to individuals with normal weight.High BMI is associated with the development of UNE in individuals without diabetes, indicating that high BMI is an independent risk factor for the development of nerve entrapment disorders irrespective of hyperglycaemia.

    View details for DOI 10.1038/s41366-025-01899-y

    View details for Web of Science ID 001574317300001

    View details for PubMedID 40962873

    View details for PubMedCentralID PMC12583195

https://orcid.org/0000-0002-8249-8660