2025/06/25 by Yongxin Zhang, Lei Huang, Mangui Li +5 · 1 voice
Medicine · #Bone and Joint Diseases #Bone health and osteoporosis research #Liver Disease Diagnosis and Treatment
paper · doi:10.4103/regenmed.regenmed-d-25-00016
openalex publication_date 2025/06/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
JOURNAL/rmrep/04.03/02273995-202512000-00002/figure1/v/2026-04-22T111838Z/r/image-tiff The relationship between obesity and bone health remains controversial, with extensive studies suggesting associations; however, the precise nature of this relationship remains uncertain. Relative fat mass (RFM) is an innovative obesity metric that provides a more precise evaluation of body fat distribution than conventional methods, but its implications for skeletal health remain unexplored. This study aimed to explore the relationship between RFM and lumbar bone mineral density (BMD) in adults from 2011–2018. Weighted multivariate logistic regression, subgroup analysis, and interaction tests were employed to examine the relationship between RFM and lumbar BMD, utilizing data derived from the 2011–2018 National Health and Nutrition Examination Survey. This study included a total of 11,410 participants. Weighted multiple linear regression analysis revealed a significant negative correlation between RFM and lumbar BMD among adults aged 20–59 years. This negative correlation persisted even when RFM was analyzed by quartiles, with individuals in the highest RFM quartile exhibiting lumbar BMD levels 0.046 g/cm 2 lower than those in the lowest quartile. However, the results of the subgroup analysis suggested that this negative association was abolished in individuals with diabetes, hypertension, or chronic kidney disease but was not significantly influenced by factors such as sex and race. Our findings indicate a significant negative correlation between RFM and lumbar BMD in US adults aged 20–59 years, with notable attenuation in specific clinical populations, offering fresh perspectives and research targets for clinical analysis.