Introduction: Although there has been abundant evidence of the association between dyslipidemia as a single factor and osteoporosis, the non-linear relationship between osteoporosis and the Atherogenic Index of Plasma (AIP) has not yet been thoroughly investigated. This study aimed to investigate the complex relationship between AIP and bone mineral density (BMD) to elucidate their interrelationship. Methods: An analysis of 2007–2018 National Health and Nutrition Survey (NHANES) data was conducted for this study. The study enrolled 5,019 participants. Logarithmically multiplying triglycerides and high-density lipoprotein cholesterol yields the AIP (base 10). The measured variables consisted of BMD in the total femur (TF), femoral neck (FN), and lumbar spine (LS). The association between AIP and BMD was examined using a range of statistical models, such as weighted multivariable logistic regression, generalized additive model, etc. Results: It was found that AIP was positively associated with BMD after adjusting for age, gender, race, socioeconomic status, degree of education, income, Consuming alcoholic beverages, osteoporosis status (Yes or No), ALT, AST, serum creatinine, and total calcium levels. Further studies supported the association link between elevated BMD and AIP. Furthermore, compared to men, females had a higher positive connection between AIP and BMD. In general, there was a curve in the reverse L-shape seen, with a point of change around 0.877, indicating a relationship between AIP and TF BMD. Moreover, a curve exhibiting an L-formed pattern, with a point of inflection at around 0.702, was seen between AIP and FN BMD. In addition, a J-shaped curve was seen, with a point of inflection at 0.092, which demonstrates the association between AIP and LS BMD. Conclusion: The AIP and TF BMD curves resemble inverted L shapes, as do the AIP and FN BMD curves. The relationship between AIP and LS BMD was further demonstrated by a J-shaped curve. The results indicate a possible association between AIP and bone mineral density, which should be explored in more detail.

The negative effects of obesity and excess body fat on bone mineral density (BMD) have been widely reported. As opposed to waist circumference (WC) or body mass index (BMI), weight-adjusted waist index (WWI) is a superior method for assessing obesity. WWI also indicates centripetal obesity independently of the weight of the individual. An investigation of WWI and adolescents’ BMD was conducted in this study. The National Health and Nutrition Examination Survey (NHANES) 2011–2018 provided the data for this cross-sectional investigation. In this study, weighted multivariate logit models were employed to assess the correlation between teenage BMD and WWI. Additionally, we conducted interaction tests and subgroup analysis. Through multivariate linear regression, we discovered that WWI was negatively linked with lumbar, trunk, and total BMD but not pelvis BMD in this study, which included 6828 subjects. We found that each unit increase in WWI resulted in a lumbar BMD decline of 0.04 g/cm² (95%CI −0.04, −0.04), a trunk BMD decrease of 0.03 g/cm² (95%CI −0.03, −0.02), and a total BMD decrease of 0.02 g/cm² (95%CI −0.02, −0.02). In conclusion, in US teenagers, there were negative connections discovered between WWI and lumbar, trunk, and total BMD, but not pelvis BMD.

The duration of sleep is linked to a range of disorders. Osteoarthritis (OA) stands as one of the most prevalent forms of arthritis and serves as a leading cause of disability. The correlation between the duration of sleep and OA remains ambiguous. Research indicates that waist circumference correlates with sleep duration and OA, respectively. This study aimed to investigate the association of sleep duration with OA and the mediated effect of waist circumference. The study sample comprised adults who were participants in the National Health and Nutrition Examination Survey (NHANES) between 2011 and 2018. Insufficient sleep is characterized by a duration of less than seven hours, whereas 7–8 h is considered appropriate, and 9 h or more is categorized as a long sleep duration. Three models were employed in this study. Model 1 was not adjusted for any covariates, while Model 2 was adjusted for sex, age, and race. Model 3 has been adjusted to account for all covariates. Utilizing multivariable logistic regression, subgroup analysis, interaction tests and smoothing curve fitting, the correlation between sleep duration and OA was explored. The mediating effect of waist circumference on the association between sleep duration and OA was investigated through mediation analysis. In this study, 9380 did not have OA, while 2424 were diagnosed with the ailment. After multivariable adjustment, the odds ratios (OR) for OA were 1.19 (95% CI 1.06, 1.34; P = 0.0026) for people with insufficient sleep duration and 1.18 (95% CI 1.03, 1.35 P = 0.0142) for participants with long sleep duration. Sleep duration and the incidence of OA were found to be related in a U-shaped manner. Additionally, 12.1% of the correlation between sleep duration and OA appeared to be mediated by waist circumference. Increased OA was found to be correlated in a U-shaped manner with sleep duration in the middle-aged and elderly cohorts. Both insufficient and long sleep duration contribute to an elevated risk of developing OA. A potential mediating factor in the association between OA and sleep duration is waist circumference. Focus on sleep health and visceral obesity in middle-aged and older adults is necessary.

Introduction: Despite accumulating evidence on central obesity and osteoporosis, the role of a body shape index (ABSI), a nonlinear index quantifying body shape via body mass index (BMI), waist circumference (WC), and height, remains controversial and underexplored. Although recent meta-analyses suggest central obesity may modulate fracture risk bidirectionally, no research has comprehensively compared ABSI with traditional adiposity metrics, such as BMI, WC, and waist-to-height ratio (WHtR), to predict site-specific changes in bone mineral density (BMD) across anatomical regions.Methods: This study utilized National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018, involving 12,421 participants. ABSI was computed using the formula: ABSI = WC/(BMI²/³ × Height¹/²). BMD was assessed at four sites—the total femur (TF), femoral neck (FN), trochanter (TR), and intertrochanter (IN) regions—via dual-energy X-ray absorptiometry (DXA). The association between ABSI and BMD was analyzed via multiple regression models and a generalized additive model (GAM). To compare ABSI’s predictive efficacy with conventional adiposity indices, regression analyses juxtaposed ABSI against BMI, WC, and WHtR in assessing correlations with site-specific BMD.Results: After full covariate adjustment, a significant negative association was observed between ABSI and BMD in four femoral regions (P< 0.01). Smoothed curve fitting revealed a significant nonlinear relationship and threshold effect between ABSI and BMD among middle-aged and older individuals. Additionally, an inverted J-shaped curve was observed between ABSI and BMD in all four femoral regions. Meanwhile, ABSI showed significant negative associations with BMD across all femoral sites (β = -0.27 to -0.31, p-trend< 0.000001), whereas BMI, WC, and WHtR exhibited positive correlations (WHtR showing the strongest effect: β = 0.41–0.69). This highlights ABSI’s ability to detect central adiposity-related bone loss obscured by conventional obesity metrics.Conclusion: ABSI’s robust inverse associations with femoral BMD (β = -0.27 to -0.31), persisting across nonlinear threshold analyses, establish it as a novel biomarker of central adiposity-related skeletal fragility. Unlike conventional indices reflecting mechanical loading benefits (BMI β = 0.008–0.012; WC β = 0.003–0.005; WHtR β = 0.41–0.69), ABSI specifically captures visceral fat-driven metabolic disorder—a critical pathway for osteoporosis risk stratification in normal-weight and obese populations.

Background: There are few effective conservative therapies for acute lumbar disc herniation (LDH), and the choice of nonsteroidal anti-inflammatory drugs is not recommended for all patients. The purpose of this study was to compare the effect of Yaobitong capsule with celecoxib capsule, and to further confirm the safety and efficacy of Yaobitong capsule. Methods: This study is a large sample multicenter randomized controlled trial. Eight hospitals served as sub centers to recruit patients. A total of 258 patients are divided into Yaobitong group and celecoxib group according to the ratio of 1:1. Celecoxib or Yaobitong capsule was taken orally for 14 days. Patients will complete the trial after 3 months of follow-up, and independent statisticians who are blinded to random assignment will analyze the data using SAS 9.3 software. The primary outcome was the visual analogue scale (VAS) score after 14 days of treatment, and Japanese Orthopaedic Association (JOA), Oswestry Disability Index (ODI), and SF-12 will be regarded as secondary outcomes. Safety indexes will be recorded before and after treatment, and adverse events (AEs) will be recorded throughout this trial. Discussion: This study will evaluate the efficacy and safety of Yaobitong capsule in treating LDH. The experimental results will provide evidence support to treat LDH with Yaobitong capsule.

Lipids increase osteoporosis and fracture risk, yet research on Atherogenic Index of Plasma (AIP), bone mineral density declines (BMD), and trabecular bone score (TBS) is limited. This study examined the relationships between AIP, TBS, and BMD in American adults using the National Health and Nutrition Examination Survey (NHANES) data, including the effect of obesity. Based on data from 3,162 Americans, multivariable logistic regression and a generalized additive model (GAM) were used to analyze AIP, BMD, and TBS. Mediation studies assessed the impact of obesity (BMI) on these relationships. A threshold effect study identified turning points. The average participant age was 47.5 ± 17 years. AIP showed no correlation with BMD after BMI adjustment but was significantly associated with lumbar spine and femoral neck BMD without BMI adjustment. AIP negatively correlated with TBS even after adjusting for covariates. The relationship between AIP and TBS was L-shaped, with a turning point at -0.17. BMI mediated the AIP-BMD relationship by 122.01–131.49% (P < 0.05). This study found AIP levels associated with decreased TBS and increased BMD, influenced by obesity. AIP may be a valuable tool in evaluating bone metabolism, indicating high BMD but poor TBS, warranting further exploration.