This study aims to investigate the associations between bone health indicators (including osteoporosis, osteoarthritis, and fractures) and chronic comorbidities such as hypertension, diabetes, psychiatric disorders, and sarcopenia. Rather than focusing solely on bone mineral density (BMD), we consider a broader spectrum of skeletal conditions. The objective is to uncover how chronic diseases influence bone health and vice versa, using large-scale population data to support integrated prevention and treatment strategies.
Method: Using data from the UK Biobank, we will conduct both cross-sectional and longitudinal analyses. Logistic regression models will evaluate the co-occurrence of skeletal and chronic diseases, adjusting for variables like age, sex, BMI, and lifestyle. Longitudinally, Cox regression will assess whether baseline bone conditions predict the onset of chronic diseases. Mediation and pathway analyses will be applied to investigate mechanisms involving circulating proteins such as osteocalcin and other metabolic mediators.
Project duration: The duration of this project is approximately 3 years.
Scientific Rationale: Bone is increasingly recognized as an endocrine organ that influences systemic health. Molecules secreted by bone cells, such as osteocalcin, can regulate glucose metabolism, fat storage, and inflammation. Conversely, metabolic disorders like insulin resistance or chronic inflammation can disrupt bone remodeling. Therefore, chronic diseases and bone health likely interact through shared biological pathways that this study seeks to clarify.
Public health impact: Understanding the two-way relationship between bone health and chronic diseases can improve early identification of individuals at dual risk. This could support integrated clinical practices and personalized interventions. Discovering shared molecular pathways may offer therapeutic targets that simultaneously benefit.