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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5851580?pdf=render |
| _version_ | 1818026003407044608 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Tuyen Van Duong |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T04:25:05Z |
| format | Article |
| id | doaj.art-aaa33500c0f24e6681f29435d9d0802c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T04:25:05Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-aaa33500c0f24e6681f29435d9d0802c2022-12-22T02:02:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019374210.1371/journal.pone.0193742The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study.Tuyen Van DuongTe-Chih WongHsi-Hsien ChenTzen-Wen ChenTso-Hsiao ChenYung-Ho HsuSheng-Jeng PengKo-Lin KuoChi-Sin WangI-Hsin TsengYi-Wei FengTai-Yue ChangChien-Tien SuShwu-Huey YangDietary 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.http://europepmc.org/articles/PMC5851580?pdf=render |
| spellingShingle | 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 The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC5851580?pdf=render |
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