The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study

Tuyen Van Duong, Te Chih Wong, Hsi Hsien Chen, Tzen Wen Chen, Tso Hsiao Chen, Yung Ho Hsu, Sheng Jeng Peng, Ko Lin Kuo, Chi Sin Wang, I. Hsin Tseng, Yi Wei Feng, Tai Yue Chang, Chien Tien Su, Shwu Huey Yang

研究成果: 雜誌貢獻文章

3 引文 (Scopus)

摘要

Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.
原文英語
文章編號e0193742
頁(從 - 到)e0193742
期刊PLoS One
13
發行號3
DOIs
出版狀態已發佈 - 三月 1 2018

指紋

hemodialysis
metabolic syndrome
Energy Intake
cross-sectional studies
Renal Dialysis
energy intake
Cross-Sectional Studies
nutritive value
Dialysis
dialysis
diet recall
Medical problems
Taiwan
Logistics
ROC Curve
Health Personnel
health services
multivariate analysis
diabetes
food intake

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

引用此文

The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients : A clinical cross-sectional study. / Van Duong, Tuyen; Wong, Te Chih; Chen, Hsi Hsien; Chen, Tzen Wen; Chen, Tso Hsiao; Hsu, Yung Ho; Peng, Sheng Jeng; Kuo, Ko Lin; Wang, Chi Sin; Tseng, I. Hsin; Feng, Yi Wei; Chang, Tai Yue; Su, Chien Tien; Yang, Shwu Huey.

於: PLoS One, 卷 13, 編號 3, e0193742, 01.03.2018, p. e0193742.

研究成果: 雜誌貢獻文章

Van Duong, Tuyen ; Wong, Te Chih ; Chen, Hsi Hsien ; Chen, Tzen Wen ; Chen, Tso Hsiao ; Hsu, Yung Ho ; Peng, Sheng Jeng ; Kuo, Ko Lin ; Wang, Chi Sin ; Tseng, I. Hsin ; Feng, Yi Wei ; Chang, Tai Yue ; Su, Chien Tien ; Yang, Shwu Huey. / The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients : A clinical cross-sectional study. 於: PLoS One. 2018 ; 卷 13, 編號 3. 頁 e0193742.
@article{709ad47e0d6b41509cac0144fb2434a7,
title = "The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study",
abstract = "Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.",
author = "{Van Duong}, Tuyen and Wong, {Te Chih} and Chen, {Hsi Hsien} and Chen, {Tzen Wen} and Chen, {Tso Hsiao} and Hsu, {Yung Ho} and Peng, {Sheng Jeng} and Kuo, {Ko Lin} and Wang, {Chi Sin} and Tseng, {I. Hsin} and Feng, {Yi Wei} and Chang, {Tai Yue} and Su, {Chien Tien} and Yang, {Shwu Huey}",
year = "2018",
month = "3",
day = "1",
doi = "10.1371/journal.pone.0193742",
language = "English",
volume = "13",
pages = "e0193742",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "3",

}

TY - JOUR

T1 - The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients

T2 - A clinical cross-sectional study

AU - Van Duong, Tuyen

AU - Wong, Te Chih

AU - Chen, Hsi Hsien

AU - Chen, Tzen Wen

AU - Chen, Tso Hsiao

AU - Hsu, Yung Ho

AU - Peng, Sheng Jeng

AU - Kuo, Ko Lin

AU - Wang, Chi Sin

AU - Tseng, I. Hsin

AU - Feng, Yi Wei

AU - Chang, Tai Yue

AU - Su, Chien Tien

AU - Yang, Shwu Huey

PY - 2018/3/1

Y1 - 2018/3/1

N2 - Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.

AB - Dietary energy intake strongly linked to dialysis outcomes. We aimed to explore the optimal cut-off point of energy intake (EI) for identification of metabolic syndrome (MetS) in hemodialysis patients. The cross-sectional data of 243 hemodialysis patients from multi-dialysis centers in Taiwan was used. The dietary intake was assessed by using the three-day dietary questionnaire, and a 24-hour dietary recall, clinical and biochemical data were also evaluated. The MetS was diagnosed by the Harmonized Metabolic Syndrome criteria. The receiver operating characteristic (ROC) curve was to depict the optimal cut-off value of EI for the diagnosis of MetS. The logistic regression was also used to explore the association between inadequate EI and MetS. The optimal cut-off points of EI for identifying the MetS were 26.7 kcal/kg/day for patients aged less than 60 years, or with non-diabetes, and 26.2 kcal/kg/day for patients aged 60 years and above, or with diabetes, respectively. The likelihood of the MetS increased with lower percentiles of energy intake in hemodialysis patients. In the multivariate analysis, the inadequate dietary energy intake strongly determined 3.24 folds of the MetS. The assessment of dietary EI can help healthcare providers detecting patients who are at risk of metabolic syndrome.

UR - http://www.scopus.com/inward/record.url?scp=85043762209&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043762209&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0193742

DO - 10.1371/journal.pone.0193742

M3 - Article

AN - SCOPUS:85043762209

VL - 13

SP - e0193742

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 3

M1 - e0193742

ER -