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Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China

PURPOSE: The prevalence of cardiovascular diseases (CVDs) associated with lipid levels is increasing worldwide. Our purpose is to analyze the distribution level and influencing factors of lipid in the whole population and to put forward suggestions for preventing abnormal lipid levels. METHODS: The...

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Autores principales: Zhu, Boya, Wang, Wenjing, Li, Mengying, Peng, Shuzhen, Tan, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680951/
https://www.ncbi.nlm.nih.gov/pubmed/36426233
http://dx.doi.org/10.3389/fcvm.2022.996148
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author Zhu, Boya
Wang, Wenjing
Li, Mengying
Peng, Shuzhen
Tan, Xiaodong
author_facet Zhu, Boya
Wang, Wenjing
Li, Mengying
Peng, Shuzhen
Tan, Xiaodong
author_sort Zhu, Boya
collection PubMed
description PURPOSE: The prevalence of cardiovascular diseases (CVDs) associated with lipid levels is increasing worldwide. Our purpose is to analyze the distribution level and influencing factors of lipid in the whole population and to put forward suggestions for preventing abnormal lipid levels. METHODS: The study was based on a sample of 91,480 Chinese who participated in a nationwide physical examination program in Wuhan, a midland city in China, in 2018. The distribution of blood lipid in the population was observed using average, and the relationship between the influencing factors and blood lipid level was observed by quantile regression (QR). RESULTS: A total of 91,480 people were evaluated in this study, among which 59,165 (64.68%) were female with a mean age of 51.71 ± 10.82 years. QR results showed that different physical examination indexes had different effects on lipid levels. Fasting plasma glucose (FBG) has the largest QR coefficient and BMI had positive effects on total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). In males, age has a positive influence on TC, LDL-C, and high-density lipoprotein cholesterol (HDL-C), while in females, age has a positive influence on all four indexes. CONCLUSION: We found that the TC and LDL-C levels of females were more susceptible to age than males, and the lipid levels of older females were higher than males. BMI has a greater effect on lipid levels in males than in females. Regardless of gender should pay attention to dyslipidemia caused by diabetes and abnormal liver function.
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spelling pubmed-96809512022-11-23 Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China Zhu, Boya Wang, Wenjing Li, Mengying Peng, Shuzhen Tan, Xiaodong Front Cardiovasc Med Cardiovascular Medicine PURPOSE: The prevalence of cardiovascular diseases (CVDs) associated with lipid levels is increasing worldwide. Our purpose is to analyze the distribution level and influencing factors of lipid in the whole population and to put forward suggestions for preventing abnormal lipid levels. METHODS: The study was based on a sample of 91,480 Chinese who participated in a nationwide physical examination program in Wuhan, a midland city in China, in 2018. The distribution of blood lipid in the population was observed using average, and the relationship between the influencing factors and blood lipid level was observed by quantile regression (QR). RESULTS: A total of 91,480 people were evaluated in this study, among which 59,165 (64.68%) were female with a mean age of 51.71 ± 10.82 years. QR results showed that different physical examination indexes had different effects on lipid levels. Fasting plasma glucose (FBG) has the largest QR coefficient and BMI had positive effects on total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). In males, age has a positive influence on TC, LDL-C, and high-density lipoprotein cholesterol (HDL-C), while in females, age has a positive influence on all four indexes. CONCLUSION: We found that the TC and LDL-C levels of females were more susceptible to age than males, and the lipid levels of older females were higher than males. BMI has a greater effect on lipid levels in males than in females. Regardless of gender should pay attention to dyslipidemia caused by diabetes and abnormal liver function. Frontiers Media S.A. 2022-11-08 /pmc/articles/PMC9680951/ /pubmed/36426233 http://dx.doi.org/10.3389/fcvm.2022.996148 Text en Copyright © 2022 Zhu, Wang, Li, Peng and Tan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Zhu, Boya
Wang, Wenjing
Li, Mengying
Peng, Shuzhen
Tan, Xiaodong
Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title_full Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title_fullStr Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title_full_unstemmed Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title_short Analysis of blood lipid changes and influencing factors in physical examination population of a city in central China
title_sort analysis of blood lipid changes and influencing factors in physical examination population of a city in central china
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680951/
https://www.ncbi.nlm.nih.gov/pubmed/36426233
http://dx.doi.org/10.3389/fcvm.2022.996148
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