scholarly journals Assessment of the Relationship Between Bone Mineral Density and Fracture Risk Factors in the Family Doctor Practice

2021 ◽  
pp. 64-67
Author(s):  
Yevheniia Luk’ianets
Keyword(s):  
Risk Factors ◽  
Bone Mineral Density ◽  
Early Detection ◽  
Bone Mineral ◽  
Family Doctor ◽  
Social Consequences ◽  
Mineral Density ◽  
The Impact ◽  
The Relationship ◽  
Average Body

Osteoporosis is the fourth most common after cardiovascular, cancer and endocrine diseases. According to WHO experts, due to the aging population and the impact of negative environmental factors, the incidence of osteoporosis will increase further. The objective: determining the relationship between ultrasound densitometry data on the heel cyst and the risk of fractures in older women from different regions of the country. Materials and methods. The study was based on a survey of women in major cities of Ukraine – Kyiv, Kharkiv, Odessa. 116 women aged 40 to 79 years were included. The average age of the subjects was 56±9,62 years, the average body weight was 74,5±12,9 kg, height 163,1±5,62 cm, the average body mass index (BMI) was 28±4,90. Normal (BMI) 20–24,9 had 35 women (30,2%), rates of preobesity and clinical obesity were in 81 surveyed women (69,8%). All subjects were divided into 4 groups by age: 40–49 years, 50–59 years, 60–69 years, 70–79 years. Results. Decrease in bone mineral density was found in 59,5% of examined women, of which osteopenia was in 57%, osteoporosis in 2,5% of women, the norm in 40,5% of women. The number of women with low BMD increased with age. Analyzing the risk factors in women after 40 years revealed a high incidence of hypertension 40,5%, the frequency of previous fractures in the anamnesis was 22,% of respondents, fractures of the femur and other fractures in parents noted 33,6% of women, a decrease in growth by 3 cm during life occurred in 13,7%, early menopause (up to 45 years) in 16,3% of women. Physical activity less than 30 minutes a day was noted by 27,5%. The risk of FRAX and Q-fracture fractures is significantly correlated with densitometry. Conclusions. Early detection of osteoporosis risk factors in the practice of a family doctor will help prevent an epidemic of this disease in our country and will prevent negative medical and social consequences. All of the above should be considered for planning preventive measures for osteoporosis and its complications, as well as for subsequent diagnostic steps for early detection of the disease.

The Relationship between Risk Factors for Metabolic Syndrome and Bone Mineral Density in Menopausal Korean Women

2020 ◽  
Author(s):  
Seok-Hee KIM ◽  
Jooyoung KIM
Keyword(s):  
Risk Factors ◽  
Bone Mineral Density ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Bone Mineral ◽  
Korean Women ◽  
Mineral Density ◽  
Significant Difference ◽  
The Relationship

Background: The risk factors of metabolic syndrome (MetS) in menopausal women are potential causes of osteoporosis. However, there is no consensus on this. We aimed to determine the relationship between risk factors of MetS and bone mineral density (BMD) in menopausal Korean women. Methods: We enrolled 205 menopausal Korean women who visited a health promotion center in Seoul in 2015 and divided them into the following two groups according to the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) criteria with modified waist-circumference criteria: the non-MetS group (Group 1, n=90) and the MetS group (Group 2, n=115). Anthropometric parameters and clinical parameters, including blood pressure, blood lipid profile (cholesterol, triglycerides), and fasting blood sugar levels were recorded for all participants. BMD at the lumbar spine was determined using dual-energy X-ray absorptiometry (DEXA). The relationship between the risk factors of MetS and bone mineral density was analyzed by statistical methods. Results: There was no significant difference in risk factors of MetS between the groups. In correlation tests, waist circumference showed a significant association with body surface area (BSA) (r = -0.242, P < 0.001). Diastolic blood pressure was correlated with BSA (r = 0.186, P < 0.01) and bone mineral content (BMC) (r = 0.161, P < 0.05). However, multiple regression analysis showed no significant relationship between MetS risk factors and BMD. Conclusion: The risk factors of MetS did not affect BMD in menopausal Korean women. Follow-up studies with a larger study population are necessary size to allow the investigation of other research variables.

scholarly journals The Relationship of Osteoporosis Risk Factors with Bone Mineral Density in Patients Admitted Our Outpatient Clinic in Trabzon

2016 ◽  
Vol 22 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Münevver Serdaroğlu Beyazal ◽  
Erhan Çapkın ◽  
Murat Karkucak ◽  
Mustafa Güler ◽  
Haşim Çakırbay ◽  
...  
Keyword(s):  
Risk Factors ◽  
Bone Mineral Density ◽  
Bone Mineral ◽  
Outpatient Clinic ◽  
Mineral Density ◽  
Osteoporosis Risk Factors ◽  
Relationship Of ◽  
The Relationship ◽  
Osteoporosis Risk

scholarly journals SAT0485 PERCENTAGE BODY FAT HAS A STRONGER ASSOCIATION WITH BONE MINERAL DENSITY AT THE HIP AND SPINE COMPARED TO BODY MASS INDEX

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1198.1-1199
Author(s):  
C. Thurston ◽  
R. Tribbick ◽  
J. Kerns ◽  
F. Dondelinger ◽  
M. Bukhari
Keyword(s):  
Risk Factors ◽  
Bone Mineral Density ◽  
Body Mass Index ◽  
Confidence Intervals ◽  
Bone Mineral ◽  
Effect Size ◽  
Bone Health ◽  
P Value ◽  
Mineral Density ◽  
The Relationship

Background:A decreased body mass index (BMI) is associated with poorer bone health, a decreased bone mineral density (BMD), and an increased fracture risk. Cardiovascular (CVS) data has shown that the waist:hip ratio is a more robust measurement for CVS outcomes than BMI (1). Waist:hip ratio has never been evaluated as an outcome measure for bone health. Dual-energy x-ray absorptiometry (DEXA) has the capacity to measure average percentage fat in the L1-L4 region and at the hip, and directly relates to the measurement of waist:hip ratio.Objectives:To evaluate the relationship between BMD and average percent fat in a cohort referred for DEXA scanning.Methods:We analysed data routinely collected from patients referred for DEXA between 2004 and 2010 at the Royal Lancaster Infirmary in the North of England. Data collected for these patients included DEXA scans of BMD at the left and right hip, and at the lumbar spine, as well as average percent far and other risk factors for osteoporosis, including the FRAX risk factors. We used only the measures collected at baseline (time of first scan). We modelled the T scores of the BMD measurements using a linear regression model including percentage fat and BMI as explanatory variables, and adjusting for gender, age at scan, and other known risk factors for osteoporosis, including the FRAX risk factors. BMI and average percent fat were standardised.Results:The number of patients included was 33037, (82% female). Results of both regression models are shown in table 1 below. We show the standardised effect size estimates for average percent fat and BMI.Anatomical locationEffect size estimate for average percent fat (95% confidence intervals)P valueEffect size estimate for BMI (95% confidence intervals)P valueLeft neck-0.156 (-0.171, -0.141)<0.001-0.0255 (-0.0441, -0.00701)0.00692Left total-0.225 (-0.241, -0.208)<0.001-0.0680 (-0.0882, -0.0477)<0.001Left Ward’s-0.181 (-0.196, -0.166)<0.001-0.0268 (-0.0456, -0.00813)0.00493Left trochanter-0.263 (-0.281, -0.246)<0.001-0.0667 (-0.0882, -0.0451)<0.001Right neck-0.139 (-0.154, -0.124)<0.001-0.0131 (-0.0317, 0.00549)0.167Right total-0.221 (-0.237, -0.204)<0.001-0.0611 (-0.0811, -0.0411)<0.001Right Ward’s-0.180 (-0.196, -0.165)<0.001-0.0193 (-0.0381, -0.000586)0.0433Right trochanter-0.261 (-0.278, -0.243)<0.001-0.0598 (-0.0810, -0.0386)<0.001Spine (averaged L1-L4)0.219 (0.195, 0.242)<0.001-0.00846 (-0.0379, 0.0206)0.563Conclusion:The analysis shows that average percent fat is a statistically significant predictor for BMD at different anatomical locations, and a larger predictor in comparison to BMI when evaluated in the same model. In the right hip neck and the spine, BMI was not predictive of changes in BMD. Higher average percent fat increases the BMD in the spine, compared to a decline at the hip. Further research is needed to characterise the relationship more precisely and identify whether there is a causal link.References:[1]Obes Rev. 2012 Mar;13(3):275-86. doi: 10.1111/j.1467-789X.2011.00952.xDisclosure of Interests:None declared

scholarly journals Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018

2021 ◽  
Vol 19 (1) ◽  
pp. 355
Author(s):  
Chao Sun ◽  
Boya Zhu ◽  
Sirong Zhu ◽  
Longjiang Zhang ◽  
Xiaoan Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heavy Metals ◽  
Bone Mineral Density ◽  
Alcohol Use ◽  
Quantile Regression ◽  
Bone Mineral ◽  
Robust Regression ◽  
Lasso Regression ◽  
Mineral Density ◽  
The Impact

This study aimed to explore the risk factors of bone mineral density (BMD) in American residents and further analyse the extent of effects, to provide preventive guidance for maintenance of bone health. A cross-sectional study analysis was carried out in this study, of which data validity was identified and ethics approval was exempted based on the National Health and Nutrition Examination Survey (NHANES) database. Candidates’ demographics, physical examination, laboratory indicators and part of questionnaire information were collected and merged from NHANES in 2015–2016 and 2017–2018. The least absolute shrinkage selection operator (lasso) was used to select initial variables with “glmnet” package of R, quantile regression model to analyze influence factors of BMD and their effects in different sites with “qreg” code in Stata. Among 2937 candidates, 17 covariates were selected by lasso regression (λ = 0.00032) in left arm BMD, with 16 covariates in left leg BMD (λ = 0.00052) and 14 covariates in total BMD (λ = 0.00065). Quantile regression results displayed several factors with different coefficients in separate sites and quantiles: gender, age, educational status, race, high-density lipoprotein (HDL), total cholesterol (TC), lead, manganese, ethyl mercury, smoking, alcohol use and body mass index (BMI) (p < 0.05). We constructed robust regression models to conclude that some demographic characteristics, nutritional factors (especially lipid levels, heavy metals) and unhealthy behaviors affected BMD in varying degrees. Gender and race differences, Low-fat food intake and low exposure to heavy metals (mostly lead, manganese and mercury) should be considered by both clinical doctors and people. There is still no consensus on the impact of smoking and alcohol use on bone mineral density in our study.

scholarly journals The Effects of Noncompliance to Prolia (Denosumab) on the Changes in Bone Mineral Density: A Retrospective Review

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Matthew Wong-Pack ◽  
Aashish Kalani ◽  
Jacob Hordyk ◽  
George Ioannidis ◽  
Robert Bensen ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Bone Mineral ◽  
Retrospective Review ◽  
Mineral Density ◽  
Eligibility Criteria ◽  
Multivariable Regression ◽  
One Year ◽  
The Impact ◽  
The Relationship

Although denosumab (Prolia) has been shown to be a safe and efficacious therapy for osteoporotic patients in numerous clinical trials, few studies have determined its effectiveness in real world clinical practice. A retrospective review of patients prescribed Prolia assessing the impact that noncompliance from the regular dosing regimen of six months for denosumab has on bone mineral density (BMD) was performed. 924 patient records were reviewed between August 2012 and September 2013 with 436 patients meeting the eligibility criteria. Patients were divided into three groups: subsequent injection of denosumab (1) less than five months, (2) between five and seven months, and (3) more than seven months after their initial subcutaneous injection. A multivariable regression analysis was conducted comparing the differences among the three prespecified groups in BMD change (g/cm2) after one year of denosumab therapy at both the lumbar spine (LS) and femoral neck (FN). The differences in LS and FN BMD have shown that the relationship between the timing of drug administration in these three groups and change in BMD over 1 year was not clinically or statistically significant (p>0.05). A follow-up study with a larger sample size and longer follow-up duration is required to further characterize this relationship.

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