Association of Body Fluid Distribution with Bone Mineral Density and Osteoporosis in Men Aged under 50: A Cross-Sectional Study.

Association of body composition with bone mineral density and fracture in diabetic elderly: Results from AHAP study

Older people with osteopenia, osteoporosis and fracture had lower visceral fat mass, lean mass, lean mass and waist circumference than normal people and LM, WC and VFM had the greatest effect on BMD and fracture in elderly diabetic.

Association of the metabolic score for insulin resistance with bone mineral density and trabecular bone score in cancer patients: a cross-sectional study

To investigate the association between the Metabolic Score for Insulin Resistance (METS-IR) and bone mineral density (BMD) and trabecular bone score (TBS) in adult cancer patients. This cross-sectional study enrolled 127 patients (median age 63 years, 44.9% female) with histopathologically confirmed malignancies. BMD at the lumbar spine, femoral neck, and total hip and lumbar spine TBS were measured by dual-energy X-ray absorptiometry. METS-IR was calculated using fasting glucose, triglycerides, high-density lipoprotein cholesterol, and body mass index. Multivariable linear regression was used to identify independent associations. After adjustment for confounders, METS-IR was independently and positively associated with BMD at lumbar spine (β = 0.006, 95% CI 0.002–0.011, P = 0.007), femoral neck (β = 0.007, 95% CI 0.003–0.011, P < 0.001), and total hip (β = 0.007, 95% CI 0.003–0.010, P < 0.001). Age was inversely associated with lumbar spine and femoral neck BMD, but not with total hip BMD; bone metastasis was linked to higher lumbar spine and total hip BMD. In contrast, METS-IR showed no significant association with lumbar spine TBS (P = 0.374). For TBS, age and male sex, but not METS-IR, were independent determinants. In cancer patients, higher METS-IR is independently associated with greater BMD but not with better trabecular microarchitecture. This discordance between bone quantity and quality suggests that insulin resistance may mask impaired bone quality despite preserved BMD. Clinicians should consider bone quality assessments when evaluating fracture risk in metabolically compromised cancer patients. Longitudinal studies are warranted to confirm these findings.

Association of body composition with all-cause mortality among U.S. adults with osteoporosis or osteopenia: a population-based study.

Bone mineral density and trabecular bone score in adults with primary immunodeficiencies: a cross-sectional study

Assessment of bone mineral density (BMD), trabecular bone score (TBS), and muscle mass in adults with PIDs found reduced BMD and impaired TBS represented distinct, partially overlapping findings.

Sex‐Stratified Association of Serum Uric Acid With Multisite Bone Mineral Density Among Inpatients With Type 2 Diabetes: A Cross‐Sectional Study

Objective This study sought to investigate the correlation between serum uric acid (SUA) levels and bone mineral density (BMD) among patients with Type 2 diabetes mellitus (T2DM). Methods A single‐center retrospective cross‐sectional analysis was performed. A total of 249 hospitalized patients with T2DM (147 men and 102 postmenopausal women) were recruited from Zhongshan Hospital (Xiamen), Fudan University, between June 2024 and June 2025. Baseline clinical characteristics were first compared between patients with normal BMD and those with osteopenia or osteoporosis. All participants were subsequently stratified into a normal uric acid (NUA) group and a hyperuricemia (HUA) group based on SUA concentrations. BMD measurements at the femoral neck, total hip, and lumbar spine were compared across the two groups. Multivariate logistic regression analysis was applied to determine independent factors associated with the risk of osteopenia and osteoporosis. Results Of the 249 enrolled participants, 178 (71.5%) were diagnosed with osteopenia or osteoporosis. Relative to patients with normal BMD, individuals with osteopenia/osteoporosis were older, had a higher proportion of female cases, exhibited elevated osteocalcin (OCN) levels and increased fracture risk, and presented significantly lower body mass index (BMI), estradiol (E2), and SUA levels. In the overall cohort, as well as in male and postmenopausal female subgroups, higher SUA levels were significantly and positively correlated with higher BMD at all three skeletal sites (all p < 0.05). Multivariate logistic regression demonstrated that OCN served as an independent risk factor for osteopenia and osteoporosis, whereas BMI, E2, and SUA served as independent protective factors against these bone disorders (all p < 0.05). Conclusion Elevated SUA levels are correlated with higher BMD and a reduced risk of osteopenia and osteoporosis in T2DM patients. BMI, E2, OCN, and SUA act as independent predictors of bone status in this patient population. Routine SUA testing may facilitate the identification of T2DM patients at high risk of osteopenia and osteoporosis.

Smoking shapes the relationship between metabolic biomarkers and femoral-neck bone mineral density: A stratified analysis by smoking status

INTRODUCTION Bone mineral density (BMD) is a crucial indicator of bone strength and osteoporosis risk. Smoking is known to negatively impact bone health and related bone metabolism biomarkers. However, if and how smoking status influences the relationship between bone metabolism biomarkers and BMD, particularly measured at the femoral neck, remains poorly understood. The objective of this study was to examine the relationship between bone metabolism biomarkers and BMD stratified by smoking status. METHODS Data from 4464 healthy individuals were collected from the Qatar Biobank. The sample was divided into smokers, non-smokers, and ex-smokers, and logistic regression was used to examine relationships between biochemical markers and femoral-neck BMD in the different subgroups. RESULTS Sex, age, and body mass index consistently influenced BMD across all smoking strata. Males and older individuals were at higher risk of low BMD, while higher BMI was protective. Creatinine levels were positively associated with BMD in all groups. Alkaline phosphate (ALP) was significantly associated with BMD in non-smokers and ex-smokers but not in smokers, while cholesterol levels were negatively associated with BMD in non-smokers and smokers but not in ex-smokers. CONCLUSIONS Smoking status impacts the relationship between metabolism-related biomarkers and BMD, highlighting the need for smoking status-specific bone health guidelines. These findings emphasize the importance of including smoking history in clinical bone health assessments and suggest that personalized approaches may be necessary to mitigate the risk of bone deterioration.