Cargando…
The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study
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 us...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851580/ https://www.ncbi.nlm.nih.gov/pubmed/29538427 http://dx.doi.org/10.1371/journal.pone.0193742 |
_version_ | 1783306412164644864 |
---|---|
author | Duong, Tuyen Van 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 |
author_facet | Duong, Tuyen Van 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 |
author_sort | Duong, Tuyen Van |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5851580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58515802018-03-23 The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study Duong, Tuyen Van 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 PLoS One Research Article 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. Public Library of Science 2018-03-14 /pmc/articles/PMC5851580/ /pubmed/29538427 http://dx.doi.org/10.1371/journal.pone.0193742 Text en © 2018 Duong et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Duong, Tuyen Van 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 |
title | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
title_full | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
title_fullStr | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
title_full_unstemmed | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
title_short | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
title_sort | cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: a clinical cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851580/ https://www.ncbi.nlm.nih.gov/pubmed/29538427 http://dx.doi.org/10.1371/journal.pone.0193742 |
work_keys_str_mv | AT duongtuyenvan thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT wongtechih thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chenhsihsien thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chentzenwen thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chentsohsiao thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT hsuyungho thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT pengshengjeng thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT kuokolin thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT wangchisin thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT tsengihsin thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT fengyiwei thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT changtaiyue thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT suchientien thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT yangshwuhuey thecutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT duongtuyenvan cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT wongtechih cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chenhsihsien cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chentzenwen cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT chentsohsiao cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT hsuyungho cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT pengshengjeng cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT kuokolin cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT wangchisin cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT tsengihsin cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT fengyiwei cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT changtaiyue cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT suchientien cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy AT yangshwuhuey cutoffvaluesofdietaryenergyintakefordeterminingmetabolicsyndromeinhemodialysispatientsaclinicalcrosssectionalstudy |