Skip to main navigation Skip to search Skip to main content

Dietary glycemic index and glycemic load predict longitudinal change in glycemic and cardio-metabolic biomarkers among old diabetic adults living in a resource-poor country

  • Yen Nhi Hoang
  • , Trong Hung Nguyen
  • , Dang Khanh Ngan Ho
  • , Chyi Huey Bai
  • , Wen Ling Lin
  • , Huong Duong Phan
  • , Hoang Hiep Phan
  • , Ngoc Luong Tran
  • , Jung Su Chang

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to investigate longitudinal associations between the dietary glycemic index (GI) and glycemic load (GL) and changes in glycemic and cardio-metabolic outcomes. A 28-month retrospective cohort study included 110 Vietnamese diabetic patients, collecting their dietary GI and GL values along with blood biochemical data from baseline 24-h dietary recall and medical records. Latent class growth modelling identified three distinct HbA1c trajectories during the follow-up period, with 51% of patients achieving good glycemic control. The adjusted linear mixed-effect model showed that 1 unit increase in logarithms in dietary GL was associated with a 0.14% increase in the log-HbA1c. Among poorly controlled diabetic patients, baseline GL values were positively correlated with increases in HbA1c; GI showed effects on changes in fasting plasma glucose and the triglyceride-glucose (TyG) index. No significant association was observed in patients with good glycemic control.

Original languageEnglish
Pages (from-to)550-561
Number of pages12
JournalInternational Journal of Food Sciences and Nutrition
Volume75
Issue number6
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • cardio-metabolic parameters
  • glycemic control
  • Glycemic index
  • glycemic load
  • resource-poor country

ASJC Scopus subject areas

  • Food Science

Fingerprint

Dive into the research topics of 'Dietary glycemic index and glycemic load predict longitudinal change in glycemic and cardio-metabolic biomarkers among old diabetic adults living in a resource-poor country'. Together they form a unique fingerprint.

Cite this