1 引文 (Scopus)

摘要

Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.

原文英語
文章編號1127
期刊Nutrients
10
發行號8
DOIs
出版狀態已發佈 - 八月 20 2018

指紋

Cell Aggregation
metabolic syndrome
hyperlipidemia
Hyperlipidemias
eating habits
erythrocytes
Erythrocytes
Dyslipidemias
Vegetables
body mass index
Body Mass Index
vegetables
iron
Dietary Iron
Hepcidins
fried foods
Methyl Green
Food
Seafood
raw foods

ASJC Scopus subject areas

  • Food Science
  • Nutrition and Dietetics

引用此文

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title = "Red blood cell aggregation-associated dietary pattern predicts hyperlipidemia and metabolic syndrome",
abstract = "Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation ({\%}TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.",
keywords = "Dietary pattern, Dyslipidemia, Hepcidin, Metabolic syndrome, Red blood cell aggregation, Soluble (s) CD163",
author = "Pei Lin and Chang, {Chun Chao} and Yuan, {Kuo Ching} and Yeh, {Hsing Jung} and Fang, {Sheng Uei} and Tiong Cheng and Teng, {Kai Tse} and Chao, {Kuo Ching} and Tang, {Jui Hsiang} and Kao, {Wei Yu} and Lin, {Pao Ying} and Liu, {Ju Shian} and Chang, {Jung Su}",
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month = "8",
day = "20",
doi = "10.3390/nu10081127",
language = "English",
volume = "10",
journal = "Nutrients",
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T1 - Red blood cell aggregation-associated dietary pattern predicts hyperlipidemia and metabolic syndrome

AU - Lin, Pei

AU - Chang, Chun Chao

AU - Yuan, Kuo Ching

AU - Yeh, Hsing Jung

AU - Fang, Sheng Uei

AU - Cheng, Tiong

AU - Teng, Kai Tse

AU - Chao, Kuo Ching

AU - Tang, Jui Hsiang

AU - Kao, Wei Yu

AU - Lin, Pao Ying

AU - Liu, Ju Shian

AU - Chang, Jung Su

PY - 2018/8/20

Y1 - 2018/8/20

N2 - Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.

AB - Red blood cell (RBC) aggregation and iron status are interrelated and strongly influenced by dietary factors, and their alterations pose a great risk of dyslipidemia and metabolic syndrome (MetS). Currently, RBC aggregation-related dietary patterns remain unclear. This study investigated the dietary patterns that were associated with RBC aggregation and their predictive effects on hyperlipidemia and MetS. Anthropometric and blood biochemical data and food frequency questionnaires were collected from 212 adults. Dietary patterns were derived using reduced rank regression from 32 food groups. Adjusted linear regression showed that hepcidin, soluble CD163, and serum transferrin saturation (%TS) independently predicted RBC aggregation (all p < 0.01). Age-, sex-, and log-transformed body mass index (BMI)-adjusted prevalence rate ratio (PRR) showed a significant positive correlation between RBC aggregation and hyperlipidemia (p-trend < 0.05). RBC aggregation and iron-related dietary pattern scores (high consumption of noodles and deep-fried foods and low intake of steamed, boiled, and raw food, dairy products, orange, red, and purple vegetables, white and light-green vegetables, seafood, and rice) were also significantly associated with hyperlipidemia (p-trend < 0.05) and MetS (p-trend = 0.01) after adjusting for age, sex, and log-transformed BMI. Our results may help dieticians develop dietary strategies for preventing dyslipidemia and MetS.

KW - Dietary pattern

KW - Dyslipidemia

KW - Hepcidin

KW - Metabolic syndrome

KW - Red blood cell aggregation

KW - Soluble (s) CD163

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