Unveiling risk factors and predicting osteoporosis through bone density based aging model: a community-based cohort in Guangdong, China.

ABSTRACT:

Background

Osteoporosis is a progressive skeletal disorder influenced by multiple clinical and lifestyle factors. Early identification of individuals at high risk is essential for prevention and personalized management. This study aimed to identify key determinants of osteoporosis and to establish a bone density based aging model to evaluate deviations in bone health.

Methods

This retrospective study included 4,275 adults from Shunde District, Guangdong, China (mean age 60.62 years, 67.36% female). Bone mineral density (BMD) was measured at the lumbar spine (L2-L4) and proximal femur sites (femoral neck and trochanter) using dual-energy X-ray absorptiometry (DXA). Participants were classified as normal, osteopenic, or osteoporotic according to WHO and Chinese guidelines. Uni

SUBMITTER: Tan J 

PROVIDER: S-EPMC12619419 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature