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Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018
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 identi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744920/ https://www.ncbi.nlm.nih.gov/pubmed/35010615 http://dx.doi.org/10.3390/ijerph19010355 |
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author | Sun, Chao Zhu, Boya Zhu, Sirong Zhang, Longjiang Du, Xiaoan Tan, Xiaodong |
author_facet | Sun, Chao Zhu, Boya Zhu, Sirong Zhang, Longjiang Du, Xiaoan Tan, Xiaodong |
author_sort | Sun, Chao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8744920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87449202022-01-11 Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 Sun, Chao Zhu, Boya Zhu, Sirong Zhang, Longjiang Du, Xiaoan Tan, Xiaodong Int J Environ Res Public Health Article 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. MDPI 2021-12-30 /pmc/articles/PMC8744920/ /pubmed/35010615 http://dx.doi.org/10.3390/ijerph19010355 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Chao Zhu, Boya Zhu, Sirong Zhang, Longjiang Du, Xiaoan Tan, Xiaodong Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title | Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title_full | Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title_fullStr | Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title_full_unstemmed | Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title_short | Risk Factors Analysis of Bone Mineral Density Based on Lasso and Quantile Regression in America during 2015–2018 |
title_sort | risk factors analysis of bone mineral density based on lasso and quantile regression in america during 2015–2018 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744920/ https://www.ncbi.nlm.nih.gov/pubmed/35010615 http://dx.doi.org/10.3390/ijerph19010355 |
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