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Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults

This study investigated the blood lipid levels of 5921 Chinese adults aged >18 years using data from the China Health and Nutrition Survey 2009. Diet information was collected through 3 day, 24 h recalls by trained professionals. The low-carbohydrate diet (LCD) score was determined according to t...

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Autores principales: Tan, Li-Juan, Kim, Seong-Ah, Shin, Sangah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284749/
https://www.ncbi.nlm.nih.gov/pubmed/32375291
http://dx.doi.org/10.3390/nu12051307
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author Tan, Li-Juan
Kim, Seong-Ah
Shin, Sangah
author_facet Tan, Li-Juan
Kim, Seong-Ah
Shin, Sangah
author_sort Tan, Li-Juan
collection PubMed
description This study investigated the blood lipid levels of 5921 Chinese adults aged >18 years using data from the China Health and Nutrition Survey 2009. Diet information was collected through 3 day, 24 h recalls by trained professionals. The low-carbohydrate diet (LCD) score was determined according to the percentage of energy obtained from carbohydrate, protein, and fat consumption. Dyslipidemia was defined when one or more of the following abnormal lipid levels were observed: high cholesterol levels, high triglyceride levels, and low high-density lipoprotein cholesterol levels. Multivariate adjusted odds ratios (ORs) and their 95% confidence intervals (95% CIs) were calculated using logistic regression models. After adjusting the confounding variables, in males, the OR of hypercholesterolemia was 1.87 (95% CI, 1.23–2.85; p for trend = 0.0017) and the OR of hypertriglyceridemia was 1.47 (95% CI, 1.04–2.06; p for trend = 0.0336), on comparing the highest and lowest quartiles of the LCD score. The animal-based LCD score showed a similar trend. The OR of hypercholesterolemia was 2.15 (95% CI, 1.41–3.29; p for trend = 0.0006) and the OR of hypertriglyceridemia was 1.51 (95% CI, 1.09–2.10; p for trend = 0.0156). However, there was no significant difference between plant-based LCD scores and dyslipidemia. In females, lipid profiles did not differ much among the quartiles of LCD scores—only the animal-based LCD score was statistically significant with hypercholesterolemia. The OR of hypercholesterolemia was 1.64 (95% CI, 1.06–2.55), on comparing the highest and lowest quartiles of the LCD score. In conclusion, a higher LCD score, indicating lower carbohydrate intake and higher fat intake, especially animal-based fat, was significantly associated with higher odds of hypercholesterolemia and hypertriglyceridemia in Chinese males. Future studies investigating the potential mechanisms by which macronutrient types and sex hormones affect lipid metabolism are required.
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spelling pubmed-72847492020-06-15 Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults Tan, Li-Juan Kim, Seong-Ah Shin, Sangah Nutrients Article This study investigated the blood lipid levels of 5921 Chinese adults aged >18 years using data from the China Health and Nutrition Survey 2009. Diet information was collected through 3 day, 24 h recalls by trained professionals. The low-carbohydrate diet (LCD) score was determined according to the percentage of energy obtained from carbohydrate, protein, and fat consumption. Dyslipidemia was defined when one or more of the following abnormal lipid levels were observed: high cholesterol levels, high triglyceride levels, and low high-density lipoprotein cholesterol levels. Multivariate adjusted odds ratios (ORs) and their 95% confidence intervals (95% CIs) were calculated using logistic regression models. After adjusting the confounding variables, in males, the OR of hypercholesterolemia was 1.87 (95% CI, 1.23–2.85; p for trend = 0.0017) and the OR of hypertriglyceridemia was 1.47 (95% CI, 1.04–2.06; p for trend = 0.0336), on comparing the highest and lowest quartiles of the LCD score. The animal-based LCD score showed a similar trend. The OR of hypercholesterolemia was 2.15 (95% CI, 1.41–3.29; p for trend = 0.0006) and the OR of hypertriglyceridemia was 1.51 (95% CI, 1.09–2.10; p for trend = 0.0156). However, there was no significant difference between plant-based LCD scores and dyslipidemia. In females, lipid profiles did not differ much among the quartiles of LCD scores—only the animal-based LCD score was statistically significant with hypercholesterolemia. The OR of hypercholesterolemia was 1.64 (95% CI, 1.06–2.55), on comparing the highest and lowest quartiles of the LCD score. In conclusion, a higher LCD score, indicating lower carbohydrate intake and higher fat intake, especially animal-based fat, was significantly associated with higher odds of hypercholesterolemia and hypertriglyceridemia in Chinese males. Future studies investigating the potential mechanisms by which macronutrient types and sex hormones affect lipid metabolism are required. MDPI 2020-05-03 /pmc/articles/PMC7284749/ /pubmed/32375291 http://dx.doi.org/10.3390/nu12051307 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tan, Li-Juan
Kim, Seong-Ah
Shin, Sangah
Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title_full Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title_fullStr Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title_full_unstemmed Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title_short Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults
title_sort association between three low-carbohydrate diet scores and lipid metabolism among chinese adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284749/
https://www.ncbi.nlm.nih.gov/pubmed/32375291
http://dx.doi.org/10.3390/nu12051307
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