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https://irlib.pccu.edu.tw/handle/987654321/41908
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題名: | The cut-off values of dietary energy intake for determining metabolic syndrome in hemodialysis patients: A clinical cross-sectional study |
作者: | Duong, TV (Tuyen Van Duong) Wong, TC (Wong, Te-Chih) Chen, HH (Chen, Hsi-Hsien) Chen, TW (Chen, Tzen-Wen) Chen, TH (Chen, Tso-Hsiao) Hsu, YH (Hsu, Yung-Ho) Peng, SJ (Peng, Sheng-Jeng) Kuo, KL (Kuo, Ko-Lin) Wang, CS (Wang, Chi-Sin) Tseng, IH (Tseng, I-Hsin) Feng, YW (Feng, Yi-Wei) Chang, TY (Chang, Tai-Yue) Su, CT (Su, Chien-Tien) Yang, SH (Yang, Shwu-Huey) |
貢獻者: | 保健營養學系 |
關鍵詞: | CHRONIC KIDNEY-DISEASE MEDICAL NUTRITION THERAPY PRACTICE GUIDELINES RENAL-DISEASE ASSOCIATION INFLAMMATION MORTALITY CRITERIA FAILURE BALANCE |
日期: | 2018-03-12 |
上傳時間: | 2019-01-21 14:46:46 (UTC+8) |
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. |
顯示於類別: | [保健營養學系 ] 期刊論文
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