scholarly journals High-density Lipoprotein Cholesterol Negatively Correlates with Bone Mineral Density and Has Potential Predictive Value for Bone Loss

2021 ◽  
Author(s):  
Yuchen Tang ◽  
Shenghong Wang ◽  
Qiong Yi ◽  
Yayi Xia ◽  
Bin Geng
Keyword(s):  
Bone Mineral Density ◽  
Linear Regression ◽  
High Density Lipoprotein ◽  
Generalized Additive Models ◽  
Density Lipoprotein ◽  
Additive Models ◽  
Diverse Populations ◽  
Mineral Density ◽  
Age And Gender ◽  
And Gender

Abstract Background: In recent years, it was demonstrated that high-density lipoprotein cholesterol (HDL-C), a critical lipid for human lipid metabolism, was not completely beneficial to human health, implying that extremely high HDL-C levels may also affect human health and contribute to various diseases. The correlation between HDL-C and bone metabolism was uncertain and controversial. This study aimed to explore the correlation between HDL-C level and bone mineral density (BMD), investigating whether this relationship is different in diverse populations by stratifying age and gender.Method: The data utilized were extracted from 2005-2010 National Health and Nutrition Examination Survey (NHANES). We reviewed the data to exclude the participants aged over or equal to 20 years old or with missing core data. Multivariate linear regression analyses were conducted to estimate the association between HDL-C and BMD. A subgroup analysis was also utilized to estimate the difference in diverse populations by stratifying age and gender. Moreover, fitted smoothing curves and generalized additive models were also performed to address the nonlinear relationship between HDL-C levels and BMD.Result: Multivariable-adjusted linear regression models demonstrated that HDL-C was negatively associated with BMD, especially in females. Meanwhile, smooth curve fittings and generalized additive models also suggested an inverted U-shaped curve among females aged 30-40 or over 60. A U-shaped curve was observed for the relationship between HDL-C and BMD in femoral regions in females aged 20 to 30 or 50 to 60. Besides, female participants aged over 40 at a higher than or equal to 71 mg/dL HDL-C level were more likely to have a high risk of osteopenia or osteoporosis.Conclusion: HDL-C and BMD exhibited a negative correlation among females and different associations in diverse age groups. In addition, HDL-C can serve as a marker for osteopenia or osteoporosis.

scholarly journals High-density Lipoprotein Cholesterol Is Negatively Correlated with Bone Mineral Density and Has Potential Predictive Value for Bone Loss

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yuchen Tang ◽  
Shenghong Wang ◽  
Qiong Yi ◽  
Yayi Xia ◽  
Bin Geng
Keyword(s):  
Bone Mineral Density ◽  
Linear Regression ◽  
Regression Models ◽  
Generalized Additive Models ◽  
Density Lipoprotein ◽  
Additive Models ◽  
Nonlinear Relationship ◽  
Linear Regression Models ◽  
Mineral Density ◽  
Increased Risk

Abstract Background Many studies have shown that lipids play important roles in bone metabolism. However, the association between high-density lipoprotein cholesterol (HDL-C) and bone mineral density (BMD) is unclear. Therefore, this study aimed to investigate the linear or nonlinear relation between HDL-C levels and BMD and addressed whether the HDL-C levels had the potential values for predicting the risk of osteoporosis or osteopenia. Methods Two researchers independently extracted all information from the National Health and Nutrition Examination Survey (NHANES) database. Participants over 20 years of age with available HDL-C and BMD data were enrolled in the final analysis. The linear relationship between HDL-C levels and BMD was assessed using multivariate linear regression models. Moreover, the nonlinear relationship was also characterized by fitted smoothing curves and generalized additive models. In addition, the odds ratio (OR) for osteopenia and osteoporosis was evaluated with multiple logistic regression models. Results The weighted multivariable linear regression models demonstrated that HDL-C levels displayed an inverse association with BMD, especially among females and subjects aged 30 to 39 or 50 to 59. Moreover, the nonlinear relationship characterized by smooth curve fittings and generalized additive models suggested that (i) HDL-C levels displayed an inverted U-shaped relationship with BMD among women 30 to 39 or over 60 years of age; (ii) HDL-C levels exhibited a U-shaped association with BMD among women 20 to 29 or 50 to 59 years of age. In addition, females with high HDL levels (62-139 mg/dL) had an increased risk of osteopenia or osteoporosis. Conclusion This study demonstrated that HDL-C levels exhibit an inverse correlation with BMD. Especially in females, clinicians need to be alert to patients with high HDL-C levels, which may indicate an increased risk of osteoporosis or osteopenia. For these patients, close monitoring of BMD and early intervention may be necessary.

FRI0068 LIPID PROFILE AND BONE MINERAL DENSITY IN PATIENTS WITH RHEUMATOID ARTHRITIS: IS THERE AN ADDED RISK OF OSTEOPOROSIS?

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 610.1-611
Author(s):  
B. Touil ◽  
H. Azzouzi ◽  
O. Lamkhanat ◽  
F. Chennouf ◽  
I. Linda
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Lumbar Spine ◽  
Linear Regression ◽  
Femoral Neck ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Mineral Density ◽  
High Tc ◽  
High Concentrations

Background:Bone is a target in many inflammatory rheumatic diseases such as rheumatoid arthritis (RA). It has been supposed that an atherogenic lipid profile could be associated with lower bone mineral density (BMD) and vertebral fractures (VF).Objectives:We aimed to evaluate the relationship between the lipid profile, BMD and the presence of VF in RA patients.Methods:A cross sectional study was conducted in a population of 169 established RA. In each subject we evaluated the body mass index (BMI), tobacco use, alcohol consumption, presence of diabetes and high blood pression, lipid profile (total cholesterol (TC), High density lipoprotein cholesterol (HDLc), low density lipoprotein cholesterol (LDLc), triglycerides (TG), and VF. RA characteristics were also assessed (disease duration, disease activity score (DAS), auto antibodies, corticosteroid intake, and secondary sjogren’s syndrome). BMD was measured by dual energy X-ray absorptiometry (DXA) in lumbar spine and femoral neck. Logistic and linear regression were performed with SPSS 20, both BMD and VF were assessed as dependent variables.Results:The mean age was 55.5±11.9 years, with a female predominance (152 women). The average BMI was 26.79 ± 5.36. We had 24.3 % of hypertensive patients and 16.6 % of diabetics. The average lipid concentrations were 4.39±1 mmol/L for TC, 1.293±0.36 mmol/L for HDLc, 2.74±0.80 mmol/L for LDLc and 1.25±0.62 mmol/L for TG. At the linear regression there was no correlation between plasma lipid concentrations and BMD, whether at the lumbar spine or the femoral neck. However we found a significant correlation between VF and high TC concentrations (p=0.043, OR: 2.864, 95% IC [1.036-7.922]). At the multivariate regression, high TC levels were still associated with VF, adjusted in BMI, age and the duration of corticosteroid use (p=0.006, OR: 6.07, 95% CI[1.69- 21.77]). The same finding was observed between high concentrations of HDLc and the prevalence of VF adjusted in the same variables (p=0.006, OR: 197.01, 95% CI [4.64-8363.51]).Conclusion:Although there was no relation between lipid plasma levels and BMD in our population. There was a significant association between high concentrations of TC, HDLc and the prevalence of VF.Disclosure of Interests:None declared

scholarly journals Distinctive trajectories of COVID-19 epidemic by age and gender: a retrospective modeling of the epidemic in South Korea

2020 ◽  
Author(s):  
Xinhua Yu ◽  
Jiasong Duan ◽  
Yu Jiang ◽  
Hongmei Zhang
Keyword(s):  
South Korea ◽  
Elderly People ◽  
Negative Binomial ◽  
Generalized Additive Models ◽  
Age Groups ◽  
Additive Models ◽  
Age And Gender ◽  
Epidemic Dynamics ◽  
And Gender ◽  
Gender Groups

AbstractObjectivesElderly people had suffered disproportional burden of COVID-19. We hypothesized that males and females in different age groups might have different epidemic trajectories.MethodsUsing publicly available data from South Korea, daily new COVID-19 cases were fitted with generalized additive models, assuming Poisson and negative binomial distributions. Epidemic dynamics by age and gender groups were explored with interactions between smoothed time terms and age and gender.ResultsA negative binomial distribution fitted the daily case counts best. Interaction between the dynamic patterns of daily new cases and age groups was statistically significant (p<0.001), but not with gender group. People aged 20-39 years led the epidemic processes in the society with two peaks: one major peak around March 1 and a smaller peak around April 7, 2020. The epidemic process among people aged 60 or above was trailing behind that of younger people with smaller magnitude. After March 15, there was a consistent decline of daily new cases among elderly people, despite large fluctuations of case counts among young adults.ConclusionsAlthough young people drove the COVID-19 epidemic in the whole society with multiple rebounds, elderly people could still be protected from virus infection after the peak of epidemic.

Distribution of bone mineral density with age and gender in the proximal tibia

2004 ◽  
Vol 19 (4) ◽  
pp. 370-376 ◽  
Author(s):  
Cyrus Khodadadyan-Klostermann ◽  
Max von Seebach ◽  
William R. Taylor ◽  
Georg N. Duda ◽  
Norbert P. Haas
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Proximal Tibia ◽  
Mineral Density ◽  
Age And Gender ◽  
And Gender

scholarly journals The Association between Serum Uric Acid and Bone Mineral Density in Older Adults

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xiaocong Yao ◽  
Lin Chen ◽  
Huihui Xu ◽  
Zhongxin Zhu
Keyword(s):  
Bone Mineral Density ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Bone Mineral ◽  
Mexican Americans ◽  
Generalized Additive Models ◽  
Lumbar Bone Mineral Density ◽  
Additive Models ◽  
Mineral Density ◽  
Health And Nutrition

Objectives. Uric acid has been found to be potentially protective in bone metabolism. We investigated the relationship between serum uric acid (sUA) and lumbar bone mineral density (BMD) among 4156 participants aged 60 years and over from the National Health and Nutrition Examination Survey (NHANES). Methods. To estimate the association between sUA and lumbar BMD, multivariate logistic regression analyses were conducted. Fitted smoothing curves and generalized additive models were also performed. Results. We found sUA positively correlated with lumbar BMD after adjusting for other confounders. On subgroup analyses, stratified by sex and race/ethnicity, the positive correlation of sUA with lumbar BMD remained in both men and women, as well as in whites and Mexican Americans, but not in blacks. In blacks, the association of sUA with lumbar BMD was an inverted U-shaped curve (inflection point: 7.5 mg/dL). Conclusions. Our study revealed a positive relationship between sUA and lumbar BMD among most old adults. This association followed an inverted U-shaped curve among blacks.

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