Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index

Objectives: This study modified Healthy Eating Index (HEI) based on hemodialysis (HD)-specific nutritional guidelines and investigated associations between the diet quality (DQ) and nutritional risk in HD patients. Methods: The HD-HEI tool adapted the Malaysian Dietary Guidelines 2010 framework acco...

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Main Authors: Sualeheen, Ayesha, Khor, Ban-Hock, Balasubramanian, Gaiyal Villy, Sahathevan, Sharmela, Chinna, Karuthan, Mat Daud, Zulfitri Azuan, Khosla, Pramod, Abdul Gafor, Abdul Halim, Karupaiah, Tilakavati, Cheak, Bee Boon, Ahmad, Ghazali, Leong, Goh Bak, Kun, Lim Soo, Visvanathan, Ravindran, Yahya, Rosnawati, Bavanandan, Sunita, Morad, Zaki
Format: Article
Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100522/
https://www.sciencedirect.com/science/article/abs/pii/S1051227622000176
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spelling my.upm.eprints.1005222023-11-21T08:36:44Z http://psasir.upm.edu.my/id/eprint/100522/ Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index Sualeheen, Ayesha Khor, Ban-Hock Balasubramanian, Gaiyal Villy Sahathevan, Sharmela Chinna, Karuthan Mat Daud, Zulfitri Azuan Khosla, Pramod Abdul Gafor, Abdul Halim Karupaiah, Tilakavati Cheak, Bee Boon Ahmad, Ghazali Leong, Goh Bak Kun, Lim Soo Visvanathan, Ravindran Yahya, Rosnawati Bavanandan, Sunita Morad, Zaki Objectives: This study modified Healthy Eating Index (HEI) based on hemodialysis (HD)-specific nutritional guidelines and investigated associations between the diet quality (DQ) and nutritional risk in HD patients. Methods: The HD-HEI tool adapted the Malaysian Dietary Guidelines 2010 framework according to HD-specific nutrition guidelines. This HD-HEI was applied to 3-day dietary records of 382 HD patients. Relationships between HD-HEI scores and nutritional parameters were tested by partial correlations. Binary logistic regression models adjusted with confounders were used to determine adjusted odds ratio (adjOR) with 95% confidence interval (CI) for nutritional risk based on HD-HEI scores categorization. Results: The total HD-HEI score (51.3 ± 10.2) for this HD patient population was affected by ethnicity (Ptrend <.001) and sex (P =.003). No patient achieved “good” DQ (score: 81-100), while DQ of 54.5% patients were classified as “needs improvement” (score: 51-80) and remaining as “poor” (score: 0-51). Total HD-HEI scores were positively associated with dietary energy intake (DEI), dietary protein intake (DPI), dry weight, and handgrip strength, but inversely associated with Dietary Monotony Index (DMI) (all P <.05). Individually, scores for refined grain, total protein, and animal protein were positively associated with DEI (all P <.05), while total, animal, fish, and vegetable proteins indicated positive associations with DPI (all P <.05). Moderating metrics for convenience meals, saturated fats, sodium, and fluid negatively correlated toward DEI with similar trends for DPI excepting convenience meals and fluids. “Poor” DQ was associated with DMI ≥ 29.2 (adjOR 18.83, 95% CI 9.36-37.86, P <.001), Malnutrition Inflammation Score ≥ 5 (adjOR 1.78, 95% CI 1.01-3.15, P =.045), and protein energy wasting (adjOR 1.96, 95% CI 1.14-3.34, P =.031), but became nullified with covariate adjustments. “Poor” DQ was also associated with low lean tissue mass (<32.6 kg) in men (adjOR 2.38, 95% CI 1.01-5.58, P =.046) but not women. Conclusion: “Poor” DQ was associated with poor nutritional status in Malaysian HD patients, who should be targeted for nutritional counseling. Elsevier 2022-11 Article PeerReviewed Sualeheen, Ayesha and Khor, Ban-Hock and Balasubramanian, Gaiyal Villy and Sahathevan, Sharmela and Chinna, Karuthan and Mat Daud, Zulfitri Azuan and Khosla, Pramod and Abdul Gafor, Abdul Halim and Karupaiah, Tilakavati and Cheak, Bee Boon and Ahmad, Ghazali and Leong, Goh Bak and Kun, Lim Soo and Visvanathan, Ravindran and Yahya, Rosnawati and Bavanandan, Sunita and Morad, Zaki (2022) Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index. Journal of Renal Nutrition, 32 (6). pp. 726-738. ISSN 1051-2276; ESSN: 1532-8503 https://www.sciencedirect.com/science/article/abs/pii/S1051227622000176 10.1053/j.jrn.2022.02.002
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Objectives: This study modified Healthy Eating Index (HEI) based on hemodialysis (HD)-specific nutritional guidelines and investigated associations between the diet quality (DQ) and nutritional risk in HD patients. Methods: The HD-HEI tool adapted the Malaysian Dietary Guidelines 2010 framework according to HD-specific nutrition guidelines. This HD-HEI was applied to 3-day dietary records of 382 HD patients. Relationships between HD-HEI scores and nutritional parameters were tested by partial correlations. Binary logistic regression models adjusted with confounders were used to determine adjusted odds ratio (adjOR) with 95% confidence interval (CI) for nutritional risk based on HD-HEI scores categorization. Results: The total HD-HEI score (51.3 ± 10.2) for this HD patient population was affected by ethnicity (Ptrend <.001) and sex (P =.003). No patient achieved “good” DQ (score: 81-100), while DQ of 54.5% patients were classified as “needs improvement” (score: 51-80) and remaining as “poor” (score: 0-51). Total HD-HEI scores were positively associated with dietary energy intake (DEI), dietary protein intake (DPI), dry weight, and handgrip strength, but inversely associated with Dietary Monotony Index (DMI) (all P <.05). Individually, scores for refined grain, total protein, and animal protein were positively associated with DEI (all P <.05), while total, animal, fish, and vegetable proteins indicated positive associations with DPI (all P <.05). Moderating metrics for convenience meals, saturated fats, sodium, and fluid negatively correlated toward DEI with similar trends for DPI excepting convenience meals and fluids. “Poor” DQ was associated with DMI ≥ 29.2 (adjOR 18.83, 95% CI 9.36-37.86, P <.001), Malnutrition Inflammation Score ≥ 5 (adjOR 1.78, 95% CI 1.01-3.15, P =.045), and protein energy wasting (adjOR 1.96, 95% CI 1.14-3.34, P =.031), but became nullified with covariate adjustments. “Poor” DQ was also associated with low lean tissue mass (<32.6 kg) in men (adjOR 2.38, 95% CI 1.01-5.58, P =.046) but not women. Conclusion: “Poor” DQ was associated with poor nutritional status in Malaysian HD patients, who should be targeted for nutritional counseling.
format Article
author Sualeheen, Ayesha
Khor, Ban-Hock
Balasubramanian, Gaiyal Villy
Sahathevan, Sharmela
Chinna, Karuthan
Mat Daud, Zulfitri Azuan
Khosla, Pramod
Abdul Gafor, Abdul Halim
Karupaiah, Tilakavati
Cheak, Bee Boon
Ahmad, Ghazali
Leong, Goh Bak
Kun, Lim Soo
Visvanathan, Ravindran
Yahya, Rosnawati
Bavanandan, Sunita
Morad, Zaki
spellingShingle Sualeheen, Ayesha
Khor, Ban-Hock
Balasubramanian, Gaiyal Villy
Sahathevan, Sharmela
Chinna, Karuthan
Mat Daud, Zulfitri Azuan
Khosla, Pramod
Abdul Gafor, Abdul Halim
Karupaiah, Tilakavati
Cheak, Bee Boon
Ahmad, Ghazali
Leong, Goh Bak
Kun, Lim Soo
Visvanathan, Ravindran
Yahya, Rosnawati
Bavanandan, Sunita
Morad, Zaki
Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
author_facet Sualeheen, Ayesha
Khor, Ban-Hock
Balasubramanian, Gaiyal Villy
Sahathevan, Sharmela
Chinna, Karuthan
Mat Daud, Zulfitri Azuan
Khosla, Pramod
Abdul Gafor, Abdul Halim
Karupaiah, Tilakavati
Cheak, Bee Boon
Ahmad, Ghazali
Leong, Goh Bak
Kun, Lim Soo
Visvanathan, Ravindran
Yahya, Rosnawati
Bavanandan, Sunita
Morad, Zaki
author_sort Sualeheen, Ayesha
title Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
title_short Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
title_full Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
title_fullStr Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
title_full_unstemmed Benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
title_sort benchmarking diet quality to assess nutritional risk in hemodialysis patients: applying adequacy and moderation metrics of the hemodialysis-healthy eating index
publisher Elsevier
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100522/
https://www.sciencedirect.com/science/article/abs/pii/S1051227622000176
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score 13.18916