Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method

Background: Reference measurements are used to screen for abnormal blood lipids. The problem is that these reference values obtained in one population cannot be effective for another population. This study aimed to determine the reference values for blood lipids profiles in the population aged 25-64...

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Autores principales:	Hossein Fallahzadeh, Mahdieh Momayyezi, Masoud Mirzaei
Formato:	article
Lenguaje:	EN
Publicado:	Shahid Sadoughi University of Medical Sciences and Health Services 2021
Materias:	cholesterol blood lipids reference values Agriculture S Nutrition. Foods and food supply TX341-641
Acceso en línea:	https://doaj.org/article/703244b1bff84332b4a31dbcafdd7b4c
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spelling	oai:doaj.org-article:703244b1bff84332b4a31dbcafdd7b4c2021-11-03T17:02:28ZReference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method2476-74172476-7425https://doaj.org/article/703244b1bff84332b4a31dbcafdd7b4c2021-11-01T00:00:00Zhttp://jnfs.ssu.ac.ir/article-1-425-en.htmlhttps://doaj.org/toc/2476-7417https://doaj.org/toc/2476-7425Background: Reference measurements are used to screen for abnormal blood lipids. The problem is that these reference values obtained in one population cannot be effective for another population. This study aimed to determine the reference values for blood lipids profiles in the population aged 25-64 years in Yazd. Methods: This descriptive study was based on the data of Yazd Health Study (YaHS) on 3800 adults by cluster sampling. The data set included gender, age, total cholesterol (TC), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), and high-density lipoprotein-cholesterol (HDL-C). The linear percentile regression model and the generalized additive model for location, scale, and shape (GAMLSS) were fitted to the data and the reference values were predicted according to the regression coefficients. R-3.0.1 software was used for data analysis. Results: Refrence values for TC, LDL-C, and HDL-C were 109.43-275.72, 45.58-177.70, and 29.95-62.22 mg/dl. The trend of TC, TG, and LDL-C levels increased with age in both genders, but the trend of HDL-C in men decreased with age and remained almost constant in women. Conclusion: In this study, for the population of Yazd, reference values for blood lipids were different in both genders and age groups. Reference values for lipid profile increased in men and women with age.These findings can be used in both prevention and clinical decisions.Hossein FallahzadehMahdieh MomayyeziMasoud MirzaeiShahid Sadoughi University of Medical Sciences and Health Servicesarticlecholesterolblood lipidsreference valuesAgricultureSNutrition. Foods and food supplyTX341-641ENJournal of Nutrition and Food Security, Vol 6, Iss 4, Pp 374-382 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cholesterol blood lipids reference values Agriculture S Nutrition. Foods and food supply TX341-641
spellingShingle	cholesterol blood lipids reference values Agriculture S Nutrition. Foods and food supply TX341-641 Hossein Fallahzadeh Mahdieh Momayyezi Masoud Mirzaei Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
description	Background: Reference measurements are used to screen for abnormal blood lipids. The problem is that these reference values obtained in one population cannot be effective for another population. This study aimed to determine the reference values for blood lipids profiles in the population aged 25-64 years in Yazd. Methods: This descriptive study was based on the data of Yazd Health Study (YaHS) on 3800 adults by cluster sampling. The data set included gender, age, total cholesterol (TC), triglyceride (TG), low-density lipoprotein-cholesterol (LDL-C), and high-density lipoprotein-cholesterol (HDL-C). The linear percentile regression model and the generalized additive model for location, scale, and shape (GAMLSS) were fitted to the data and the reference values were predicted according to the regression coefficients. R-3.0.1 software was used for data analysis. Results: Refrence values for TC, LDL-C, and HDL-C were 109.43-275.72, 45.58-177.70, and 29.95-62.22 mg/dl. The trend of TC, TG, and LDL-C levels increased with age in both genders, but the trend of HDL-C in men decreased with age and remained almost constant in women. Conclusion: In this study, for the population of Yazd, reference values for blood lipids were different in both genders and age groups. Reference values for lipid profile increased in men and women with age.These findings can be used in both prevention and clinical decisions.
format	article
author	Hossein Fallahzadeh Mahdieh Momayyezi Masoud Mirzaei
author_facet	Hossein Fallahzadeh Mahdieh Momayyezi Masoud Mirzaei
author_sort	Hossein Fallahzadeh
title	Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
title_short	Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
title_full	Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
title_fullStr	Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
title_full_unstemmed	Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method
title_sort	reference values for serum lipid profiles in iranian adults: a spline-based quantile regression method
publisher	Shahid Sadoughi University of Medical Sciences and Health Services
publishDate	2021
url	https://doaj.org/article/703244b1bff84332b4a31dbcafdd7b4c
work_keys_str_mv	AT hosseinfallahzadeh referencevaluesforserumlipidprofilesiniranianadultsasplinebasedquantileregressionmethod AT mahdiehmomayyezi referencevaluesforserumlipidprofilesiniranianadultsasplinebasedquantileregressionmethod AT masoudmirzaei referencevaluesforserumlipidprofilesiniranianadultsasplinebasedquantileregressionmethod
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Reference Values for Serum Lipid Profiles in Iranian Adults: A Spline-Based Quantile Regression Method

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