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

Author(s):  
Chao Sun ◽  
Boya Zhu ◽  
Sirong Zhu ◽  
Longjiang Zhang ◽  
Xiaoan Du ◽  
...  

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.

2006 ◽  
Vol 27 (2) ◽  
pp. 207-208 ◽  
Author(s):  
C. Sioka ◽  
C. Bougias ◽  
J. Al-Bokharhli ◽  
A. Fotopoulos

2021 ◽  
pp. 64-67
Author(s):  
Yevheniia Luk’ianets

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.


2016 ◽  
Author(s):  
Swati Waghdhare ◽  
Neelam Kaushal ◽  
Rajinder K Jalali ◽  
Divya Vohora ◽  
Sujeet Jha

2019 ◽  
Vol 19 (3) ◽  
pp. 259-273 ◽  
Author(s):  
Neelam Kaushal ◽  
Divya Vohora ◽  
Rajinder K Jalali ◽  
Sujeet Jha

Background And Objective:Osteoporosis is a common bone disorder that increases susceptibility to fragility bone fractures. The clinical and public health repercussions of osteoporosis are huge due to the morbidity, mortality, and cost of medical care linked with fragility fractures. Clinical assessment of osteoporotic risk factors can help to identify candidates at an early stage that will benefit from medical intervention and potentially lowering the morbidity and mortality seen with fractures and complications. Given this, research is ongoing to evaluate the association of osteoporosis with some novel or less well-studied risk factors/bio-markers such as uric acid (UA).Discussion:Uric acid’s antioxidant activity has been proposed to be one of the factors responsible for increasing longevity and lowering rates of age-related cancers during primate evolution, the level of which increased markedly due to loss of uricase enzyme activity (mutational silencing). Accumulated evidence shows that oxidative stress is the fundamental mechanism of age-related bone loss and acts via enhancing osteoclastic activity and increasing bone resorption. Antioxidant substances such as ascorbic acid scavenge free radicals are positively related to bone health. Thus, it is hypothesized that uric acid holds bone-protective potential owing to its potent antioxidative property. Several correlation studies have been conducted globally to investigate the relationship between serum uric acid with bone mineral density and osteoporosis. Few pre-clinical studies have tried to investigate the interaction between uric acid and bone mineral density and reported important role played via Runt-related transcription factor 2 (RUNX2)/core-binding factor subunit alpha-1 (CBF-alpha-1), Wingless-related integration site (Wnt)-3a/β-catenin signaling pathway and 11β Hydroxysteroid Dehydrogenase type 1.Conclusion:In this review, the authors provided a comprehensive summary of the literature related to association studies reported in humans as well work done until date to understand the potential cellular and molecular mechanisms that interplay between uric acid and bone metabolism.


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