Association between dietary glycemic index and liver enzymes level among apparently healthy adults.


Journal

Diabetes & metabolic syndrome
ISSN: 1878-0334
Titre abrégé: Diabetes Metab Syndr
Pays: Netherlands
ID NLM: 101462250

Informations de publication

Date de publication:
Historique:
received: 05 02 2019
accepted: 05 03 2019
entrez: 25 7 2019
pubmed: 25 7 2019
medline: 31 12 2019
Statut: ppublish

Résumé

The previous studies have revealed that there is a link between dietary glycemic index and lipid profile in overweight and obesity. The aim of study was to investigate whether the glycemic index is associated with liver enzymes. Anthropometric and biochemical parameters were measured in 265 participants. Dietary glycemic index (GI) was assessed by using a validated food-frequency questionnaire. With adjusting confounder variable, Binary logistic regression was also used to predict the relationship between liver enzymes and quartile of intake. There was a significant difference between low and high GI diet for BMR (P = 0.01), FFM (P = 0.03), TG (P = 0.02), HDL (P = 0.002). The association between HDL and glycemic index remained significant after adjustment of sex and age (P = 0.03). Using the regression model following adjustment revealed that for each 1% increase in the degree of the GI, there was 11% elevation in liver enzyme abnormalities. In both groups of men and women, enzyme abnormalities positively correlated with GI, while only men showed remarkable correlation in all models (crude model: β = 0.07, OR = 1.07, CI = 0.98to 1.16). Additionally, an increase in the degree of GI caused an elevation in enzyme abnormalities by 7%. With adjusting sex, age, BMI, and Physical activity, a significance correlation was found between GI and Enzyme abnormalities (p-value = 0.03, OR = 1.115). Our study indicated that high glycemic index diet led to the elevated levels of the liver enzymes, while being significant only in men.

Identifiants

pubmed: 31336527
pii: S1871-4021(19)30091-8
doi: 10.1016/j.dsx.2019.03.013
pii:
doi:

Substances chimiques

Biomarkers 0
Blood Glucose 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1597-1602

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Mohammad Ali Moshtaq (MA)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Mohammad Hossein Rahimi (MH)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Mehdi Mollahosseini (M)

Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Iran.

Leila Khorrami-Nezhad (L)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Zhila Maghbooli (Z)

Multiple Sclerosis Research Center, Sina hospital, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: zhilayas@gmail.com.

Khadijeh Mirzaei (K)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran. Electronic address: mirzaei_kh@tums.ac.ir.

Sara Pooyan (S)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Leila Setayesh (L)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

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Classifications MeSH