Relationship between Weight, Body Mass Index and Bone Mineral Density of Lumbar Spine in Women

Effects of rhamnose consumption on bone mineral density in healthy postmenopausal women: a randomised, placebo-controlled, double-blind, parallel-group pilot study

Preventing the decrease in bone mineral density (BMD) is significant for postmenopausal women. We previously discovered that rhamnose, a deoxy monosaccharide used as a food additive, could suppress bone resorption; however, studies confirming this effect in postmenopausal women are lacking. Therefore, this pilot study aimed to explore whether rhamnose could help maintain BMD via bone resorption suppression in postmenopausal women. The participants consumed either 1.0 or 0.5 g/day of rhamnose or placebo for 24 weeks, and BMD (lumbar spine and femur) and bone turnover markers were measured. After 24 weeks, the group consuming rhamnose 1.0 g/day exhibited a significantly higher BMD of the lumbar spine than the placebo group. Furthermore, the levels of tartrate-resistant acid phosphatase 5b, a bone resorption marker, were significantly lower in both rhamnose groups. These results indicated that rhamnose might contribute to the maintenance of BMD by suppressing bone resorption in healthy postmenopausal women (UMIN000046570).

Unsupervised Liu-type shrinkage estimators for mixture of regression models

The mixture of probabilistic regression models is one of the most common techniques to incorporate the information of covariates into learning of the population heterogeneity. Despite its flexibility, unreliable estimates can occur due to multicollinearity among covariates. In this paper, we develop Liu-type shrinkage methods through an unsupervised learning approach to estimate the model coefficients in the presence of multicollinearity. We evaluate the performance of our proposed methods via classification and stochastic versions of the expectation-maximization algorithm. We show using numerical simulations that the proposed methods outperform their Ridge and maximum likelihood counterparts. Finally, we apply our methods to analyze the bone mineral data of women aged 50 and older.

Obesity, diabetes and risk of bone fragility: How BMAT behavior is affected by metabolic disturbances and its influence on bone health

PURPOSE

Osteoporosis is a metabolic bone disease characterized by decreased bone strength and mass, which predisposes patients to fractures and is associated with high morbidity and mortality. Like osteoporosis, obesity and diabetes are systemic metabolic diseases associated with modifiable risk factors and lifestyle, and their prevalence is increasing. They are related to decreased quality of life, functional loss and increased mortality, generating high costs for health systems and representing a worldwide public health problem. Growing evidence reinforces the role of bone marrow adipose tissue (BMAT) as an influential factor in the bone microenvironment and systemic metabolism. Given the impact of obesity and diabetes on metabolism and their possible effect on the bone microenvironment, changes in BMAT behavior may explain the risk of developing osteoporosis in the presence of these comorbidities.

METHODS

This study reviewed the scientific literature on the behavior of BMAT in pathological metabolic conditions, such as obesity and diabetes, and its potential involvement in the pathogenesis of bone fragility.

RESULTS

Published data strongly suggest a relationship between increased BMAT adiposity and the risk of bone fragility in the context of obesity and diabetes.

CONCLUSION

By secreting a broad range of factors, BMAT modulates the bone microenvironment and metabolism, ultimately affecting skeletal health. A better understanding of the relationship between BMAT expansion and metabolic disturbances observed in diabetic and obese patients will help to identify regulatory pathways and new targets for the treatment of bone-related diseases, with BMAT as a potential therapeutic target.

Longitudinal Assessment of Bone Mineral Density in Women Living With and Without HIV Across Reproductive Phases

BACKGROUND

Women living with HIV commonly experience low areal bone mineral density (BMD), but whether this is affected by low ovarian hormonal states (prolonged amenorrhea or menopause) is unknown. We compared rates of BMD loss between women living with HIV and HIV-negative control women and investigated its association with low ovarian hormonal states.

SETTING

Women living with HIV were enrolled from Vancouver Canada and controls from 9 Canadian sites.

METHODS

This longitudinal analysis included age-matched women living with HIV in the Children and Women: AntiRetrovirals and Markers of Aging cohort and controls in the population-based Canadian Multicentre Osteoporosis Study. Rate of change/year in BMD at the total hip and lumbar spine (L1-L4) between 3 and 5 years was compared between groups, adjusting for sociodemographic and clinical variables.

RESULTS

Ninety-two women living with HIV (median [interquartile range] age: 49.5 [41.6-54.1] years and body mass index: 24.1 [20.7-30.8] kg/m 2 ) and 278 controls (age: 49.0 [43.0-55.0] years and body mass index: 25.8 [22.9-30.6] kg/m 2 ) were included. Total hip BMD loss was associated with HIV (β: -0.003 [95% CI: -0.006 to -0.0001] g/cm 2 /yr), menopause (β: -0.007 [-0.01 to -0.005] g/cm 2 /yr), and smoking (β: -0.003 [-0.006 to -0.0002] g/cm 2 /yr); BMD gain was linked with higher body mass index (β: 0.0002 [0.0007-0.0004] g/cm 2 /yr). Menopause was associated with losing L1-L4 BMD (β: -0.01 [-0.01 to -0.006] g/cm 2 /yr). Amenorrhea was not associated with BMD loss.

CONCLUSIONS

HIV and menopause negatively influenced total hip BMD. These data suggest women living with HIV require hip BMD monitoring as they age.

Estimating the prevalence of osteoporosis using ranked-based methodologies and Manitoba's population-based BMD registry

Osteoporosis is a metabolic bone disorder that is characterized by reduced bone mineral density (BMD) and deterioration of bone microarchitecture. Osteoporosis is highly prevalent among women over 50, leading to skeletal fragility and risk of fracture. Early diagnosis and treatment of those at high risk for fracture is very important in order to avoid morbidity, mortality and economic burden from preventable fractures. The province of Manitoba established a BMD testing program in 1997. The Manitoba BMD registry is now the largest population-based BMD registry in the world, and has detailed information on fracture outcomes and other covariates for over 160,000 BMD assessments. In this paper, we develop a number of methodologies based on ranked-set type sampling designs to estimate the prevalence of osteoporosis among women of age 50 and older in the province of Manitoba. We use a parametric approach based on finite mixture models, as well as the usual approaches using simple random and stratified sampling designs. Results are obtained under perfect and imperfect ranking scenarios while the sampling and ranking costs are incorporated into the study. We observe that rank-based methodologies can be used as cost-efficient methods to monitor the prevalence of osteoporosis.

Effect of a Hop Extract Standardized in 8-Prenylnaringenin on Bone Health and Gut Microbiome in Postmenopausal Women with Osteopenia: A One-Year Randomized, Double-Blind, Placebo-Controlled Trial

Estrogen deficiency increases the risk of osteoporosis and fracture. The aim of this study was to investigate whether a hop extract standardized in 8-prenylnaringenin (8-PN), a potent phytoestrogen, could improve bone status of osteopenic women and to explore the gut microbiome roles in this effect. In this double-blind, placebo-controlled, randomized trial, 100 postmenopausal, osteopenic women were supplemented with calcium and vitamin D3 (CaD) tablets and either a hop extract (HE) standardized in 8-PN (n = 50) or a placebo (n = 50) for 48 weeks. Bone mineral density (BMD) and bone metabolism were assessed by DXA measurements and plasma bone biomarkers, respectively. Participant's quality of life (SF-36), gut microbiome composition, and short-chain fatty acid (SCFA) levels were also investigated. In addition to the CaD supplements, 48 weeks of HE supplementation increased total body BMD (1.8 ± 0.4% vs. baseline, p < 0.0001; 1.0 ± 0.6% vs. placebo, p = 0.08), with a higher proportion of women experiencing an increase ≥1% compared to placebo (odds ratio: 2.41 ± 1.07, p < 0.05). An increase in the SF-36 physical functioning score was observed with HE versus placebo (p = 0.05). Gut microbiome α-diversity and SCFA levels did not differ between groups. However, a higher abundance of genera Turicibacter and Shigella was observed in the HE group; both genera have been previously identified as associated with total body BMD. These results suggest that an 8-PN standardized hop extract could beneficially impact bone health of postmenopausal women with osteopenia.

Evaluation of the Quality of Life and the Quality of Sleep of postmenopausal osteoporotic women, without evidence of an osteoporotic fracture, who attended an outpatient DXA scan service

OBJECTIVES

The present study aimed to investigate whether impairment of health-related quality of life (HRQOL) and possibly, the quality of sleep (Sleep Quality - SQ), of osteoporotic women, may occur, even before the onset of an osteoporotic fracture.

METHODS

The study included 109 women, divided (DXA) into two groups (age-matched): the Control Group (n=68; normal and osteopenic) and the Patient Group (n=41; osteoporotic). Review of medical history of the participants, was followed by evaluation of HRQOL and SQ with the EQ-5D-3L and the PSQI questionnaires, respectively.

RESULTS

There was no significant difference between the two groups (Control vs. Patient) in terms of average HRQOL and SQ, as measured by the EQ-5D-3L Questionnaire (0.73 vs. 0.70, p>0.05) and the PSQI Index value (5.56 vs. 6.29, p>0.05), respectively. A high percentage of patients was estimated as having a poor SQ (52.9% of the Control Group and 46.3% of the Patient Group, p>0.05). Increasing age, with or without the presence of osteoporosis, seemed to lead to worst QoL (OR<1.00, p<0.05).

CONCLUSIONS

Our study documented homogeneity in HRQOL and SQ, between the two study groups. The strongest predictor for the HRQOL was age (for each year of age increase, the probability of excellent HRQOL significantly decreased).

Prevalence and Predictors of Osteoporosis/BMD Below Expected Range for Age in Pheochromocytoma/Paraganglioma and BMD, TBS Change Post-Operatively: A Prospective Cohort Study

Context

Pheochromocytomas/paragangliomas (PPGLs) have recently been shown to be associated with lower bone mineral density (BMD) and trabecular bone score as compared to healthy controls suggesting low bone mineral concentration and disrupted bone microarchitecture. There is paucity of data on prevalence and clinical predictors of low BMD/osteoporosis in PPGL from India and the extent of change in BMD post-operatively.

Aims

This study aimed to find prevalence of low BMD/osteoporosis and trabecular bone score (TBS)-adjusted FRAX score in subjects with PPGL and to see the post-operative change in BMD and TBS at follow-up.

Material and Methods

32 consecutively diagnosed adult cases with PPGL were enrolled. Although the provisional diagnosis of PPGL was made based on imaging consistent with PPGL supported by biochemical evidence of catecholamine excess, its confirmation was made histopathologically before final analysis.

Results

We found significantly low average BMD T-score/Z-score at spine, hip or wrist. Osteoporosis was evident in 87.5% of subjects (nine of 11 post-menopausal women or men >50 years of age) and BMD below the expected range for age in 42.9% of subjects (nine of 21 pre-menopausal women or men <50 years of age) by International Society for Clinical Densitometry criteria.

Conclusions

87% of older subjects with PPGL had osteoporosis while 43% of younger subjects had BMD below expected range for age (Z-score ≤-2.0), more at lumbar spine than at hip. Decreased body weight was associated with osteoporosis in older or Z-score ≤-2.0 in younger subjects. There was no significant change in BMD and TBS scores at a median of four months post-operatively.

Bone mineral density and lipid profiles in older adults: a nationwide cross-sectional study

It has been hypothesized that lipid profiles are associated with bone mineral density (BMD), but previous results have been controversial. In this study, serum triglycerides showed a significant inverse association with BMD, and the relationship is thought to correlate with vitamin D status among older adults.

INTRODUCTION

The purpose of this study was to investigate the relationship between lipid profiles and bone mineral density (BMD) in older adults using data from the Korean National Health and Nutrition Examination Survey (KNHANES).

METHODS

We enrolled men older than 50 years and postmenopausal women who participated in the KNHANES 2008-2011. Subjects with liver cirrhosis, thyroid disease, or renal dysfunction and those receiving treatment for hyperlipidemia or osteoporosis were excluded.

RESULTS

A total of 4323 subjects (2286 men and 2037 women) was analyzed. The prevalence of osteoporosis was 8.7% in men older than 50 years and 38.4% in postmenopausal women. Osteopenia and osteoporosis groups were generally older and tended to have a lower body mass index compared to the normal group (p for trend < 0.001). The correlation between each lipid profile and BMD was analyzed in the linear model adjusted for age and body mass index. Total cholesterol and high-density lipoprotein cholesterol showed a negative correlation with BMD in the total population, but there was no significant correlation when analyzed separately for men and women. Triglycerides had a negative association with whole-body BMD in both men and women (p < 0.05). The adjusted odds ratio of logarithmic triglyceride level for osteoporosis was 2.50 (95% confidence interval 1.13-5.51) in women older than 65 years.

CONCLUSION

Serum triglycerides showed a significant inverse association with BMD, and the relationship is thought to correlate with vitamin D status among older adults.

Another look at regression analysis using ranked set samples with application to an osteoporosis study

Statistical learning with ranked set samples has shown promising results in estimating various population parameters. Despite the vast literature on rank-based statistical learning methodologies, very little effort has been devoted to studying regression analysis with such samples. A pressing issue is how to incorporate the rank information of ranked set samples into the analysis. We propose two methodologies based on a weighted least squares approach and multilevel modeling to better incorporate the rank information of such samples into the estimation and prediction processes of regression-type models. Our approaches reveal significant improvements in both estimation and prediction problems over already existing methods in the literature and the corresponding ones with simple random samples. We study the robustness of our methods with respect to the misspecification of the distribution of the error terms. Also, we show that rank-based regression models can effectively predict simple random test data by assigning ranks to them a posteriori using judgment poststratification. Theoretical results are augmented with simulations and an osteoporosis study based on a real data set from the Bone Mineral Density (BMD) program of Manitoba to estimate the BMD level of patients using easy to obtain covariates.

Sedentary behaviour and bone health in older adults: a systematic review

Older adults spend more than 8 h/day in sedentary behaviours. Detrimental effects of sedentary behaviour (SB) on health are established, yet little is known about SB and bone health (bone mineral density; BMD) in older adults. The purpose of this review is to examine associations of SB with BMD in older adults. Five electronic databases were searched: Web of Science (Core Collection); PubMed; EMBASE; Sports Medicine and Education and PsycInfo. Inclusion criteria were healthy older adults mean age ≥ 65 years; measured SB and measured BMD using dual-energy X-ray absorptiometry. Quality was assessed using National Institute of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. After excluding duplicates 17813 papers were assessed; 17757 were excluded on title/abstract, 49 at full text, resulting in two prospective and five cross-sectional observational studies reviewed. Four were rated 'good' and three were rated 'fair' using the quality assessment criteria. Findings varied across the studies and differed by gender. In women, four studies reported significant positive associations of SB with BMD at different sites, and two found significant negative associations. Five studies which examined both men and women, men reported negative or no associations of SB with femoral neck, pelvic, whole body, spine or leg BMD. Whilst these findings suggest differences between men and women in the associations of SB with BMD, they may be due to the varying anatomical sections examined for BMD, the different methods used to measure SB, the varied quality of the studies included and the limited number of published findings.

Bone Measures by Dual-Energy X-Ray Absorptiometry and Peripheral Quantitative Computed Tomography in Young Women With Type 1 Diabetes Mellitus

Understanding bone fragility in young adult females with type 1 diabetes mellitus (T1DM) is of great clinical importance since the high fracture risk in this population remains unexplained. This study aimed to investigate bone health in young adult T1DM females by comparing relevant variables determined by dual-energy X-ray absorptiometry (DXA), peripheral quantitative computed tomography (pQCT) at the tibia and pQCT-based finite element analysis (pQCT-FEA) between T1DM subjects (n = 21) and age-, height- and weight-matched controls (n = 63). Tibial trabecular density (lower by 7.1%; 228.8 ± 33.6 vs 246.4 ± 31.8 mg/cm³, p = 0.02) and cortical thickness (lower by 7.3%; 3.8 ± 0.5 vs 4.1 ± 0.5 cm, p = 0.03) by pQCT were significantly lower in T1DM subjects than in controls. Tibial shear stiffness by pQCT-FEA was also lower in T1DM subjects than in controls at both the 4% site (by 17.1%; 337.4 ± 75.5 vs 407.1 ± 75.4 kN/mm, p < 0.01) and 66% site (by 7.9%; 1113.0 ± 158.6 vs 1208.8 ± 161.8 kN/mm, p = 0.03). These differences remained statistically significant after adjustment for confounding factors. No difference between groups was observed in DXA-determined variables (all p ≥ 0.08), although there was a trend towards lower aBMD at the lumbar spine in T1DM subjects than in controls after adjustment for confounders (p = 0.053). These novel findings elicited using pQCT and pQCT-FEA suggest a clinically significant impact of T1DM on bone strength in young adult females with T1DM. Peripheral QCT and pQCT-FEA may provide more information than DXA alone on bone fragility in this population. Further longitudinal studies with a larger sample size are warranted to understand the evolution and causes of bone fragility in young T1DM females.

miRNA Mechanisms Underlying the Association of Beta Blocker Use and Bone Mineral Density

Osteoporosis is a debilitating and costly disease that causes fractures in 33% of women and 20% of men over the age of 50 years. Recent studies have shown that beta blocker (BB) users have higher bone mineral density (BMD) and decreased risk of fracture compared with non-users. The mechanism underlying this association is thought to be due to suppression of adrenergic signaling in osteoblasts, which leads to increased BMD in rodent models; however, the mechanism in humans is unknown. Also, several miRNAs are associated with adrenergic signaling and BMD in separate studies. To investigate potential miRNA mechanisms, we performed a cross-sectional analysis using clinical data, dual-energy X-ray absorptiometry (DXA) scans, and miRNA and mRNA profiling of whole blood from the Framingham Study's Offspring Cohort. We found nine miRNAs associated with BB use and increased BMD. In parallel network analyses, we discovered a subnetwork associated with BMD and BB use containing two of these nine miRNAs, miR-19a-3p and miR-186-5p. To strengthen this finding, we showed that these two miRNAs had significantly higher expression in individuals without incident fracture compared with those with fracture in an external data set. We also noted a similar trend in association between these miRNA and Z-score as calculated from heel ultrasound measures in two external cohorts (SOS-Hip and SHIP-TREND). Because miR-19a directly targets the ADRB1 mRNA transcript, we propose BB use may downregulate ADRB1 expression in osteoblasts through increased miR-19a-3p expression. We used enrichment analysis of miRNA targets to find potential indirect effects through insulin and parathyroid hormone signaling. This analysis provides a starting point for delineating the role of miRNA on the association between BB use and BMD. © 2020 American Society for Bone and Mineral Research (ASBMR).

Efficient estimators with categorical ranked set samples: estimation procedures for osteoporosis

Ranked set sampling (RSS) design as a cost-effective sampling is a powerful tool in situations where measuring the variable of interest is costly and time-consuming; however, ranking information about sampling units can be obtained easily through inexpensive and easy to measure characteristics at little or no cost. In this paper, we study RSS data for analysis of an ordinal population. First, we compare the problem of non-representative extreme samples under RSS and commonly-used simple random sampling. Using RSS data with tie information, we propose non-parametric and maximum likelihood estimators for population parameters. Through extensive numerical studies, we investigate the effect of various factors including ranking ability, tie generating mechanisms, the number of categories and population setting on the performance of the estimators. Finally, we apply the proposed methods to the bone disorder data to estimate the proportions of patients with osteopenia and osteoporosis status.

Weight gain after curative parathyroidectomy predicts increase in bone mineral density in patients with symptomatic primary hyperparathyroidism

BACKGROUND

Primary hyperparathyroidism (PHPT) results in reduction of bone mineral density (BMD) and an increased risk of pathological fractures. Curative surgery does improve BMD; however, the magnitude of rise and predictive factors are highly variable amongst the hitherto available studies.

OBJECTIVES

To quantify the magnitude of improvement in BMD after curative surgery in patients with symptomatic PHPT and dissect out the possible clinical and biochemical parameters predicting the BMD rise.

METHODS

We conducted a retrospective study of symptomatic PHPT patients undergoing surgery between August 2016 and July 2018. Patients achieving biochemical cure with pre- and post-operative (at least 1 year after surgery) dual-energy X-ray absorptiometry scans performed were included in the study.

RESULTS

After exclusion, 63 patients were included in the study (M:F = 2:5; mean age = 44.8 years). At a median interval of 15 months, the median per cent change in BMD (ΔBMD) at lumbar spine (LS), total hip (TH), femoral neck (FN) and one-third distal radius (forearm) was 6.5%, 7.0%, 8.1% and 6.9%, respectively. Following multiple linear regression analysis, baseline BMD was found to inversely predict ΔBMD at LS, TH and forearm. Pre-operative iPTH positively predicted ΔBMD at LS and FN. Interestingly, 82.5% of the patients had a gain in body weight following curative surgery and change in body weight emerged as a significant positive predictor of ΔBMD at all sites.

CONCLUSIONS

Curative surgery improves BMD at all sites in patients with symptomatic PHPT. Weight gain following surgery can be used as a positive clinical predictor of BMD rise.

Association between bone mineral density and brain parenchymal atrophy and ventricular enlargement in healthy individuals

Bone, vascular smooth muscle, and arachnoid trabeculae are composed of the same type of collagen. However, no studies have investigated the relationship between bone mineral density deterioration and cerebral atrophy, both of which occur in normal, healthy aging. Accordingly, we evaluated whether bone mineral density was associated with brain parenchymal atrophy and ventricular enlargement in healthy individuals. Intracranial cavity, brain parenchyma, and lateral ventricles volumes were measured using brain magnetic resonance imaging (MRI) with a semiautomated tool. We included 267 individuals with no history of dementia or other neurological diseases, who underwent one or more dual-energy X-ray absorptiometry scans and brain MRIs simultaneously (within 3 years of each other) at our hospital over an 11-year period. We found that progression of brain parenchymal atrophy was positively associated with bone mineral density after full adjustment (B, 0.94; P < 0.001). In addition, individuals with osteoporosis showed more parenchymal atrophy among those younger than 80 years. In addition, we observed greater ventricular enlargement in individuals with osteoporosis among those older than 80 years. We believe that osteoporosis may play a role in the acceleration of parenchymal atrophy during the early-stages, and ventricular enlargement in the late-stages, of normal aging-related cerebral atrophy.

Capture the vertebral fracture: Risk factors as a prediction

OBJECTIVE

Vertebral fractures are the most common osteoporotic fractures occurring due to low bone mineral density, as well as other risk factors. The aim of the paper is to investigate risk factors for vertebral osteoporotic fracture occurrence in postmenopausal women.

METHODS

Retrospective analysis of data pertaining to 651 postmenopausal women obtained from the National Osteoporosis Registry of Serbia was conducted. Further analyses were performed on 217 osteoporotic women identified from those records, whereby those in the experimental group (n= 110) had a vertebral fracture, while those assigned to the control group (n= 107) did not. The two groups were comparable in terms of age (t= 0.450; p> 0.01). Risk factors that could serve as the best predictors of vertebral fracture occurrence were investigated. Multivariate logistic regression analysis was used for testing effect of several factors on vertebral fracture occurrence as the dependent variable.

RESULTS

Patients that have never suffered a vertebral fracture had a significantly higher bone mineral density (t= 8.161; p< 0.01) in comparison to those with a verified vertebral fracture. Factors that significantly contributed to the risk of vertebral fracture were presence of kyphosis (OR 708.338; 95% CI 19.238-26.081.950), use of glucocorticoids (OR 87.618; 95% CI 9.175-836.707), and presence of comorbidities (OR 7.327; 95% CI 1.500-35.793). Moreover, a unit increase in body mass index (BMI) was found to lower the probability of vertebral fracture by a factor of 0.846. Women that entered menopause later have lower chance of suffering a vertebral fracture (OR = 0.539; 95% CI 0.400-0.726).

CONCLUSION

Lower body mass index, presence of kyphosis, use of glucocorticoids, early menopause onset, and presence of comorbidities are the factors that contribute the most to vertebral osteoporotic fracture occurrence.

Judgment post-stratification in finite mixture modeling: An example in estimating the prevalence of osteoporosis

Judgment post-stratification is used to supplement observations taken from finite mixture models with additional easy to obtain rank information and incorporate it in the estimation of model parameters. To do this, sampled units are post-stratified on ranks by randomly selecting comparison sets for each unit from the underlying population and assigning ranks to them using available auxiliary information or judgment ranking. This results in a set of independent order statistics from the underlying model, where the number of units in each rank class is random. We consider cases where one or more rankers with different ranking abilities are used to provide judgment ranks. The judgment ranks are then combined to produce a strength of agreement measure for each observation. This strength measure is implemented in the maximum likelihood estimation of model parameters via a suitable expectation maximization algorithm. Simulation studies are conducted to evaluate the performance of the estimators with or without the extra rank information. Results are applied to bone mineral density data from the third National Health and Nutrition Examination Survey to estimate the prevalence of osteoporosis in adult women aged 50 and over.

The frontal skull Hounsfield unit value can predict ventricular enlargement in patients with subarachnoid haemorrhage

Hydrocephalus is a common complication following subarachnoid haemorrhage (SAH) arising from spontaneous aneurysm rupture. The Hounsfield unit (HU) value from computed tomography scans may reflect bone mineral density, which correlates with body mass index, which in turn is related to post-SAH ventricle size changes. We herein investigated potential associations between frontal skull HU values and ventricle size changes after SAH. HU values from four different areas in the frontal bone were averaged to minimize measurement errors. The bicaudate index and Evans ratio were measured using both baseline and follow-up CT images. CT images with bicaudate index >0.2 and Evans ratio >0.3 simultaneously were defined as indicating ventriculomegaly. We included 232 consecutive patients with SAH due to primary spontaneous aneurysm rupture, who underwent clipping over almost a 9-year period at a single institution. The first tertile of frontal skull HU values in older patients (≥55 years) was an independent predictor of ventriculomegaly after SAH, as compared to the third tertile in younger patients (hazard ratio, 4.01; 95% confidence interval 1.21-13.30; p = 0.023). The lower frontal skull HU value independently predicted ventricular enlargement post-SAH, due to the potential weak integrity of subarachnoid trabecular structures in younger patients.

Dietary fat intake associated with bone mineral density among visfatin genotype in obese people

Osteoporosis and adipose tissue are closely related with many contradictions. Visfatin is an adipokine that is related to osteoporosis and adiposity. This nutrigenomics study examined the interaction between visfatin genotypes and dietary fat intake, with regard to bone mineral density (BMD) among an obese population. In this cross-sectional study, 336 subjects were enrolled; the mean age was 38·25 (sd 11·69) years and the mean BMI was 31·79 (sd 4·77) kg/m2. Laboratory measurements were lipid profile, insulin and fasting blood sugar. Bone density measurements were assessed by dual-energy X-ray absorptiometry. Dietary data were collected through a 3-d 24-h dietary recall. Genotyping for visfatin gene SNP (rs2110385) was performed by the PCR-restriction fragment length polymorphism method. The frequency of GG, GT and TT genotypes were 33·92 48·51 and 17·54 %, respectively, and 86·6 % of participants were women. The results showed that subjects with TT genotypes had significantly higher lumbar BMD, T score and z score (P<0·0001). After categorisation by percentage of fat intake (30 % of total energy content as a cut-off point), no interaction was found, but when categorised by fat types, we found an interaction between visfatin genotypes and dietary PUFA intake in terms of the hip T score and z score (P=0·043, B= -0·08; P=0·04, B= -0·078, respectively). There was a significant relationship between high PUFA intake and lower energy and protein intake. When participants were categorised by median PUFA intake (22·8 g), it was concluded that subjects with GG genotype who had high PUFA-intake diets had lower hip z scores and T scores, unlike the other genotypes.

Osteoporosis among hospitalized patients with proximal femoral fractures in Assiut University Trauma Unit, Egypt

The study was done to investigate osteoporosis prevalence in 275 hip fracture admissions at the Trauma Unit of Assiut University Hospitals and associated factors, which are understudied in our locality. Prevalence was 74.9%. Female sex, older age, low body mass index, and fall on the ground were associated with osteoporosis.

PURPOSE

This study aims to identify osteoporosis prevalence in hip fracture admissions at the Trauma Unit of Assiut University Hospitals and to study the independent correlates of osteoporosis-related fracture.

METHODS

A prospective cross-sectional study was carried out in 275 hip fracture patients admitted to the Trauma Unit of Assiut University Hospitals from January through December 2014 of both sexes aged 50 years and older. Exclusion criteria were polytrauma, major accidents, and history of chronic conditions and long-term medication associated with osteoporosis risk increase and bilateral hip fractures. For every patient, weight, height, and bone mineral density by dual-energy x-ray absorptiometry (DEXA) were recorded. Tests of significance for non-parametric data were used. The questionnaire included sociodemographic characteristics, dietary habits, lifestyle factors such as smoking and physical activity, and female obstetric and gynecological factors.

RESULTS

Mean age was 70.82 ± 11.02 SD; 51.6% were males and 8.4% were obese. Fall on ground was in 81.1% of fractures. Osteoporosis (femoral neck T score ≤ -2.5 SD) prevalence was 74.9%. By univariable analysis, significant correlates were female gender, older age, normal BMI, and fall on the ground. Milk and cheese daily intake was significantly associated with lower prevalence of osteoporosis. In a multivariable logistic regression model, female sex, older age, low BMI, and fall on the ground were associated with osteoporosis.

CONCLUSIONS

Osteoporosis prevalence is high among hip fracture patients and associated with female sex, increase in age, low BMI, and fall on ground. Strategies to prevent osteoporosis are needed to decrease hip fracture rates.

Association of Plasma SDF-1 with Bone Mineral Density, Body Composition, and Hip Fractures in Older Adults: The Cardiovascular Health Study

Aging is associated with an increase in circulating inflammatory factors. One, the cytokine stromal cell-derived factor 1 (SDF-1 or CXCL12), is critical to stem cell mobilization, migration, and homing as well as to bone marrow stem cell (BMSC), osteoblast, and osteoclast function. SDF-1 has pleiotropic roles in bone formation and BMSC differentiation into osteoblasts/osteocytes, and in osteoprogenitor cell survival. The objective of this study was to examine the association of plasma SDF-1 in participants in the cardiovascular health study (CHS) with bone mineral density (BMD), body composition, and incident hip fractures. In 1536 CHS participants, SDF-1 plasma levels were significantly associated with increasing age (p < 0.01) and male gender (p = 0.04), but not with race (p = 0.63). In multivariable-adjusted models, higher SDF-1 levels were associated with lower total hip BMD (p = 0.02). However, there was no significant association of SDF-1 with hip fractures (p = 0.53). In summary, circulating plasma levels of SDF-1 are associated with increasing age and independently associated with lower total hip BMD in both men and women. These findings suggest that SDF-1 levels are linked to bone homeostasis.

Body weight, BMI, and stature have a protective effect on bone mineral density in women with postmenopausal vertebral osteoporosis, whereas greater age at menarche and years after menopause have a negative effect

Background

Osteoporosis is a metabolic bone disease with a risk factor of being female, particularly after the onset of menopause.

Objectives

To evaluate the influence of age, anthropometric, and reproductive variables on spinal bone mineral density (BMD) in women with postmenopausal vertebral osteoporosis.

Methods

The study was retrospective and included data from 171 patients with postmenopausal vertebral osteoporosis. We performed both simple and multiple regressions considering BMD in spine as the dependent variable. Coefficients of correlation (r), coefficients of determination (r 2), and their level of significance were calculated.

Results

The associations between spinal BMD and each of the following variables were extremely significant: age at menarche (P = 0.0003), weight (P < 0.0001), stature (P = 0.0004), and BMI (P < 0.0001). The associations between spinal BMD and age (P = 0.004), and between spinal BMD and number of years after menopause were very significant (P = 0.0093). BMD was not associated with age at menopause or number of reproductive years. For multiple regressions there was an increasing trend of r 2 with increasing number of independent variables included in the analysis: r 2 = 21.84% (2 variables), r 2 = 24.93% (3 variables), 26.45% (4 variables), and r 2 = 27% (5 variables).

Conclusion

BMD is positively associated with weight, BMI, and stature, and is negatively associated with age, time of menarche, and years after menopause. BMD is not associated with age at menopause and reproductive period.

The Association between Muscle Mass Deficits Estimated from Bioelectrical Impedance Analysis and Lumbar Spine Bone Mineral Density in Korean Adults

Background

Bone mineral density (BMD) is influenced by many factors. Despite the reported association between body components and BMD, most of these studies investigated the relationship between absolute muscle mass or fat mass and BMD in postmenopausal women or elderly subjects. The aim of this study is to investigate the association between muscle mass deficits (MMD) estimated from bioelectrical impedance analysis (BIA) and lumbar spinal BMD in Korean adults 20 to 49 years of age.

Methods

This cross-sectional study included 1,765 men and women who visited a health promotion center for a routine checkup. The lumbar spinal BMD was measured by dual energy X-ray absorptiometry. Body composition analysis was performed using BIA.

Results

The mean age of the subjects was 40.2±6.3 years. Ten thousand subjects (56.7%) were males and 126 subjects (7.1%) belonged to the low BMD (Z-score ≤-2.0). MMD had the strongest influence on BMD after adjusting for all covariates. The adjusted odds ratio of Group 3 (MDD >2.6 kg) for low BMD was 2.74 (95% CI, 1.46-5.15) after adjusting for age, gender, body mass index, height, and smoking.

Conclusions

MMD estimated by BIA showed a significant association with BMD and could be regarded as an independent risk factor for low BMD in adults 20 to 49 years of age. These findings support that interventions such as physical activity or lifestyle changes may simultaneously modify both muscle and bone health in this age group.

Underweight Young Women Without Later Weight Gain Are at High Risk for Osteopenia After Midlife: The KOBE Study

Background

Although underweight young women are targets for interventions to prevent low bone mineral density (BMD), the relationship between change in body mass index (BMI) from youth to older age and BMD has not been widely investigated in community dwellers.

Methods

In 749 healthy Japanese women aged 40–74 years, BMD was measured by quantitative ultrasound and anthropometric measurements, and BMI was calculated from body weight and height. The BMI of participants at age 20 years was estimated by self-reported body weight and their present height. They were classified into four groups according to the presence of underweight (BMI <18.5 kg/m²) at 20 and/or at present. Logistic regression models were used to estimate multivariate-adjusted odds ratios (ORs) of the presence of underweight at 20 and/or at present for osteopenia (BMD T score <−1 standard deviations) compared with participants with BMI ≥18.5 kg/m² both at 20 and at present.

Results

The participants who were underweight both at 20 and at present had a higher OR for osteopenia compared with those with BMI ≥18.5 kg/m² at 20 and at present (OR 3.94; 95% confidence interval [CI], 1.97–7.89). Those underweight only at present also had significantly increased OR of developing osteopenia (OR 2.95; 95% CI, 1.67–5.24). The OR of those underweight only at 20 was 0.87 (95% CI, 0.51–1.48).

Conclusions

Current underweight was associated with increased risk for osteopenia among Japanese women, especially in those who were underweight both at 20 and at present. To prevent low BMD in the future, maintaining appropriate body weight might be effective for young underweight women.

Preventable risk factors for osteoporosis in postmenopausal women: Systematic review and meta-analysis

Background and Objective:

The osteoporosis is becoming public health problem in India and neighboring Asian countries. As the environmental risk factors for osteoporosis in women are similar in these countries, the study was planned to compare risk factors for osteoporosis in postmenopausal women in Asian countries.

Materials and Methods:

A systematic literature search was done in August 2015. The period included for this search was from January 2005 to December 2014. The search was done for India and neighboring countries. The final analysis was done on the studies from India, China, Korea, and Japan. The literature search was done in PubMed and Google Scholar using key words, “Osteoporosis” and “Menopause” and “Risk factor.”

Results:

The pooled prevalence for the osteoporosis in postmenopausal women is 41%, but in India alone, it is 53%. Various risk factors are studied in China as compared to other countries. Adequate calcium intake and various exercises were found to be useful modifiable factors. Other factors like age, height, and postmenopausal status cannot be modified.

Conclusion:

Adequate calcium and Vitamin D intake and combinations of various exercises can be considered as preventive measures for osteoporosis in postmenopausal women.

Association between dietary fat intake and bone mineral density in Korean adults: data from Korea National Health and Nutrition Examination Survey IV (2008 ∼ 2009)

We determined the relation between dietary fat intake and bone mineral density, and our study showed that low- as well as high-fat diet was associated with the risk of osteoporosis. Our study provides significant evidence of the specific dietary components that may be important modifiable factors for the prevention of osteoporosis.

INTRODUCTION

Osteoporosis and osteoporosis-related fractures have become major public health problems. It is important to understand the various factors that influence bone health and to prevent osteoporosis by correcting modifiable risk factors for the disease. Previous studies suggested that dietary habits and body composition were potent factors associated with bone mineral density. The aim of this study was to determine the independent effect of dietary fat intake on bone mineral density while controlling for other possible confounders, including fat mass and lean body mass.

METHODS

This study was based on data obtained in the Fourth Korea National Health and Nutrition Examination Survey. After serial exclusion of subjects according to the selection criteria, 7,192 subjects were included in our analysis. We divided the study population into quintiles according to dietary fat calorie/total calorie intake and compared the adjusted means of bone mineral density between quintiles.

RESULTS

The bone mineral density was higher in men and women with a medium fat energy intake compared to those with a low- and high-fat energy intake, but the finding was statistically significant only in women. The results were valid after controlling for body fat percentage and lean body mass.

CONCLUSIONS

We found that dietary fat intake is an independent modifiable risk factor for osteoporosis, regardless of body fat or lean body mass, especially in women. However, further investigations with accurate analyses of food intake and nutritional consumption, in addition to long-term follow-up data, are necessary to recommend an osteoporosis-preventive diet in Koreans.

Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD

BACKGROUND

The relative importance of body composition, lifestyle factors, bone turnover and hormonal factors in determining bone mineral density (BMD) is unknown. We studied younger postmenopausal women to determine whether modifiable or nonmodifiable risk factors for osteoporosis have stronger associations with BMD.

METHODS

In multivariable linear regression models, we tested associations between non-bone body composition measures, self-reported measures of physical activity and dietary intake, urinary N-telopeptide (NTx), sex hormone concentrations, and BMD in 109 postmenopausal women aged 50 to 64 years, adjusting for current hormone therapy use and clinical risk factors for low BMD. Lean mass, fat mass and areal BMD (aBMD) at the lumbar spine, femoral neck, total hip and distal radius were measured using dual energy X-ray absorptiometry.

RESULTS

Higher body weight and self-reported nonwhite race were independently associated with higher aBMD at the lumbar spine, femoral neck, total hip and distal radius. Lean and fat mass were not independently associated with aBMD. Older age and higher urinary NTx were independently associated with lower aBMD at the distal radius but not at weight-bearing sites. Sensitivity analyses demonstrated lack of an independent association between total daily protein or calorie intake and BMD.

CONCLUSIONS

BMD, weight and race were the most important determinants of aBMD at all sites. Older age and higher bone turnover were independently associated with lower aBMD at the distal radius. In a limited analysis, self-reported physical activity, dietary protein and calorie intake were not associated with aBMD after adjustment for the other variables.