ArticleInternational journal of environmental research and public health2021
Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015-2018.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Application of machine learning algorithms to identify people with low bone density.Frontiers in public health · 2024Article
- There is a significantly inverse relationship between dietary riboflavin intake and prevalence of osteoporosis in women but not in men: Results from the TCLSIH cohort study.Frontiers in nutrition · 2023Article
- The association of lipid metabolism with bone metabolism and the role of human traits: a Mendelian randomization study.Frontiers in endocrinology · 2023Article
- How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach.International journal of environmental research and public health · 2022Article
- Article
- Transcriptome Profiles Reveal a 12-Signature Metabolic Prediction Model and a Novel Role of Myo-Inositol Oxygenase in the Progression of Prostate Cancer.Frontiers in oncology · 2022Article
- A negative association between total cholesterol and bone mineral density in US adult women.Frontiers in nutrition · 2022Article
- Humoral and cellular immune response after severe acute respiratory syndrome coronavirus 2 messenger ribonucleic acid vaccination in heart transplant recipients: An observational study in France.Frontiers in medicine · 2022Article
- Causal relationships between sex hormone traits, lifestyle factors, and osteoporosis in men: A Mendelian randomization study.PloS one · 2022Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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) (
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