Exploring Chronic Pain Patterns and Associations With All-Cause Dementia: Results From UK Biobank

The count of locations with chronic pain is widely used in research and clinical practice. However, this approach might be too simplistic to fully capture the complexity of chronic pain experiences. This study identified prevalent patterns of chronic pain locations and evaluated their associations with incident dementia among middle-aged and older adults in the UK. Data were from 445,530 participants who were free of dementia at baseline (2006-2010) in the UK Biobank. We calculated the incidence rates of all-cause dementia by the 20 most prevalent combinations of pain locations assessed at baseline. Cox models were utilized to examine the hazard ratio of incident dementia among each of these 20 combinations compared to 3 groups: 1) participants without chronic pain, 2) participants with only a single chronic pain location not included in the combination, and 3) participants with only a single chronic pain location included in the combination. The 3 most prevalent combinations were neck and back (5.7%), back and knee (5.4%), and neck and knee (4.5%). Chronic back, neck, and knee pain was commonly present either individually or simultaneously in combinations associated with higher dementia rates than persons without chronic pain. The combinations involving back, neck, and knee were associated with higher dementia rates than groups with 1 pain location not included in the combination. Chronic pain is not randomly present in body locations. Understanding how different patterns of chronic pain locations relate to dementia provides new insights into dementia prevention through pain relief. Perspective: This article unveils chronic pain patterns and dementia risks in the UK Biobank. Chronic pain in back, neck, and knee presents frequently, either individually or in combinations associated with increased dementia rates. Chronic pain combos correlate with diverse dementia rates, guiding targeted prevention strategies through pain management. (c) 2024 (c) Published by Elsevier Inc. on behalf of United States Association for the Study of Pain, Inc All rights are reserved, including those for text and data mining, AI training, and similar technologies.