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.

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 Non-Parametric Generalized Additive Models as a Tool for Evaluating Policy Interventions

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 299
Author(s):  
Jaime Pinilla ◽  
Miguel Negrín
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Trend ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Linear Regression Models ◽  
Non Linear ◽  
Nonlinear Trends ◽  
The Impact ◽  
Non Parametric

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been the most used models to carry out this analysis. However, they assume a linear trend that may not be appropriate in many situations. In this paper, we show how generalized additive models (GAMs), a non-parametric regression-based method, can be useful to accommodate nonlinear trends. An analysis with simulated data is carried out to assess the performance of both models. Data were simulated from linear and non-linear (quadratic and cubic) functions. The results of this analysis show how GAMs improve on segmented linear regression models when the trend is non-linear, but they also show a good performance when the trend is linear. A real-life application where the impact of the 2012 Spanish cost-sharing reforms on pharmaceutical prescription is also analyzed. Seasonality and an indicator variable for the stockpiling effect are included as explanatory variables. The segmented linear regression model shows good fit of the data. However, the GAM concludes that the hypothesis of linear trend is rejected. The estimated level shift is similar for both models but the cumulative absolute effect on the number of prescriptions is lower in GAM.

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 Physiological Aldosterone Concentrations Are Associated with Alterations of Lipid Metabolism: Observations from the General Population

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
M. Hannich ◽  
H. Wallaschofski ◽  
M. Nauck ◽  
M. Reincke ◽  
C. Adolf ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
General Population ◽  
Linear Regression ◽  
Standard Error ◽  
Regression Models ◽  
Adult Population ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Inverse Association ◽  
Linear Regression Models

Objective. Aldosterone and high-density lipoprotein cholesterol (HDL-C) are involved in many pathophysiological processes that contribute to the development of cardiovascular diseases. Previously, associations between the concentrations of aldosterone and certain components of the lipid metabolism in the peripheral circulation were suggested, but data from the general population is sparse. We therefore aimed to assess the associations between aldosterone and HDL-C, low-density lipoprotein cholesterol (LDL-C), total cholesterol, triglycerides, or non-HDL-C in the general adult population. Methods. Data from 793 men and 938 women aged 25–85 years who participated in the first follow-up of the Study of Health in Pomerania were obtained. The associations of aldosterone with serum lipid concentrations were assessed in multivariable linear regression models adjusted for sex, age, body mass index (BMI), estimated glomerular filtration rate (eGFR), and HbA1c. Results. The linear regression models showed statistically significant positive associations of aldosterone with LDL-C (β-coefficient = 0.022, standard error = 0.010, p=0.03) and non-HDL-C (β-coefficient = 0.023, standard error = 0.009, p=0.01) as well as an inverse association of aldosterone with HDL-C (β-coefficient = −0.022, standard error = 0.011, p=0.04). Conclusions. The present data show that plasma aldosterone is positively associated with LDL-C and non-HDL-C and inversely associated with HDL-C in the general population. Our data thus suggests that aldosterone concentrations within the physiological range may be related to alterations of lipid metabolism.

scholarly journals Associations between serum calcium, 25(OH)D level and bone mineral density in adolescents

2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Kaiyu Pan ◽  
Rongliang Tu ◽  
Xiaocong Yao ◽  
Zhongxin Zhu
Keyword(s):  
Bone Mineral Density ◽  
Vitamin D ◽  
Linear Regression ◽  
Bone Mineral ◽  
Serum Calcium ◽  
Curve Fitting ◽  
Smooth Curve ◽  
Linear Regression Models ◽  
Mineral Density ◽  
Positive Correlation

Abstract Backgrounds It is important to improve our understanding of the roles of calcium and vitamin D in bone health for preventing osteoporosis. We aimed at exploring the associations between serum calcium, vitamin D level, and bone mineral density (BMD) in adolescents included in the National Health and Nutrition Examination Survey (NHANES) 2001–2006. Methods Weighted multivariate linear regression models were used to estimate the associations of serum calcium, 25(OH)D level with total BMD. Smooth curve fitting was used to explore the potential non-linear relationship. Results A total of 5990 individuals aged between 12 and 19 years were included in this study. The fully-adjusted model showed serum calcium positively correlated with total BMD. However, an inverted U-shaped relationship was found when we performed the smooth curve fitting method, and the inflection point was calculated at 9.6 mg/dL using the two-piecewise linear regression model. In contrast, there was a positive correlation between serum 25(OH)D and total BMD after adjusting for potential confounders. Conclusions The present study revealed a positive correlation between serum 25(OH)D level and total BMD, and an inverted U-shaped relationship between serum calcium and total BMD.

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.

Abstract P221: Plasma Triglyceride/High Density Lipoprotein Cholesterol Ratio and Subclinical Cardiovascular Disease Parameters in a South Asian Population

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Mohan Thanikachalam ◽  
Jahnavi Sunderarajan ◽  
Shravanti Shankar ◽  
Vijaykumar Harivanzan ◽  
Sadagopan Thanikachalam
Keyword(s):  
Cardiovascular Disease ◽  
Linear Regression ◽  
High Density Lipoprotein ◽  
South Asian ◽  
Regression Models ◽  
Density Lipoprotein ◽  
Asian Population ◽  
High Density ◽  
Linear Regression Models ◽  
South Asian Population

Background: There is increasing focus on biomarkers for early detection of cardiovascular disease (CVD). Studies suggest that the ratio of triglyceride (TG)/high density lipoprotein (HDL) could be a simple marker for insulin resistant and increased cardiometabolic risk, but the association between TG/HDL ratio and CVD is not fully defined. In the current study we assess the relationship between TG/HDL ratio and subclinical CVD parameters in a South Asian population. Methods: In the cross-sectional analysis of 8080 South Indians, the assessments included left ventricular mass indexed (LVMI) to body surface area by echocardiograph, carotid intimal medial thickness (IMT), arterial stiffness by carotid-femoral pulse wave velocity (PWV) and endothelial function by brachial artery flow mediated dilatation (FMD). Generalized linear regression models were used to test the association of TG/HGL ratio with subclinical parameters. All models were adjusted for age, gender, BMI, physical activity, LDL, blood sugar, smoking, stress, and anxiety status. Results: After the exclusion of people with evidence of coronary artery disease, 7164 subjects (mean age 43 years, 58% women) constituted the study sample. The value of subclinical parameters by TG/HDL quartiles is shown in the Table. In univariate analysis, TG/HDL ratio was associated with subclinical parameters [PWV (r = 0.14), LVMI (r = 0.11), FMD (r = -0.06); IMT (r = 0.103; p <0.01]. In adjusted linear regression models, TG/HDL ratio was independently associated with PWV (β = 0.029, p = 0.014) and IMT (β = 0.051, p <0.01). Subsequently, in gender specific models, TG/HDL ratio was independently associated PWV and IMT only in women [PWV (β = 0.042, p = 0.006); IMT (β = 0.067, p = 0.01)] and in subgroup analysis in healthy participants below 40 years of age [PWV (β = 0.082, p <0.01); IMT (β= 0.067, p = 0.01)]. Conclusion: TG/HDL ratio was independently associated with PWV and IMT in South Asian women, including apparently health young individuals.

scholarly journals Association of dietary patterns of American adults with bone mineral density and fracture

2018 ◽  
Vol 21 (13) ◽  
pp. 2417-2423 ◽  
Author(s):  
Mohsen Mazidi ◽  
Andre Pascal Kengne ◽  
Hassan Vatanparast
Keyword(s):  
Bone Mineral Density ◽  
Femoral Neck ◽  
Bone Mineral ◽  
Regression Models ◽  
Survey Design ◽  
High Energy ◽  
Linear Regression Models ◽  
Mineral Density ◽  
Dietary Pufa ◽  
Cross Sectional

AbstractObjectiveIn a representative sample of US adults, we investigated the associations of nutrient patterns (NP) with bone mineral density (BMD) and fractures.DesignCross-sectional.SettingUS community-based National Health and Nutrition Examination Survey (NHANES).SubjectsParticipants with measured data on dietary intake and BMD from 2005 to 2010 were included. Principal components analysis was used to identify NP. BMD was measured using dual-energy X-ray absorptiometry. ANCOVA, adjusted logistic and linear regression models were employed, accounting for the complex survey design and sample weights.ResultsWe included a total of 18 318 participants, with 47·0 % (n 8607) being men. The mean age was 45·8 years with no sex difference. Three NP emerged, explaining 55·9 % of the variance in nutrient consumption. Multivariable-adjusted linear regressions revealed significant inverse associations between the ‘high-energy’ NP (rich in carbohydrates and sugar, total fat and saturated fat) and total femur, femoral neck, trochanter and intertrochanter BMD (β coefficient: −0·029, −0·025, −0·034 and −0·021, respectively, all P<0·001), while there were significant associations between the ‘nutrient-dense’ NP (rich in vitamins, minerals and fibre) and ‘healthy fat’ NP (high dietary PUFA and MUFA) and BMD at total femur, femoral neck, trochanter and intertrochanter (all P<0·001). In adjusted logistic regression models, the odds of hip, wrist or spine fractures did not vary significantly across NP quartiles.ConclusionsNutrient-dense and healthy fat NP are associated with higher BMD at various bone sites, while the high-energy NP is inversely associated with BMD measures.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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