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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...

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Autores principales: Sun, Chao, Zhu, Boya, Zhu, Sirong, Zhang, Longjiang, Du, Xiaoan, Tan, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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