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Health Promot Perspect. 2025;15(2): 173-188.
doi: 10.34172/hpp.025.44297
  Abstract View: 6
  PDF Download: 8

Original Article

Tracking the impact of dietary quality scores on metabolic health: Insights from the Azar Cohort on patients with type 2 diabetes mellitus

Meysam Zarezadeh 1,2 ORCID logo, Mehrdad Jamali 2, Elnaz Faramarzi 3, Parsa Jamilian 4, Nima Radkhah 2, Ahmad Saedisomeolia 5,6, Zohreh Ghoreyshi 3, Alireza Ostadrahimi 1,7* ORCID logo

1 Faculty of Nutrition and Food Science, Tabriz University of Medical Sciences, Tabriz, Iran
2 Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
3 Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
4 School of Medicine, Keele University, Staffordshire, UK
5 College of Health Sciences, Education Centre of Australia, Parramatta, NSW Australia
6 School of Human Nutrition, McGill University, 21111 Lakeshore, Ste. Anne de Bellevue, Montréal, QC H9X 3V9, Canada
7 Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
*Corresponding Author: Alireza Ostadrahimi, Email: ostadrahimi@tbzmed.ac.ir

Abstract

Background: This study examined the association between changes in diet quality—assessed using the healthy eating index-2015 (HEI-2015) and the dietary inflammatory index (DII)—and lipid profiles and glycemic control in adults with type 2 diabetes.

Methods: In this longitudinal study, data were collected from 103 adults with type 2 diabetes at two time points, six years apart (baseline and reassessment). The main predictors were changes in HEI-2015 and DII scores over time. The primary outcome measures were lipid profile components (LDL, HDL, total cholesterol, triglycerides) and glycemic control (FBS). Associations were examined using regression models adjusted for age, sex, body mass index (BMI), and energy intake.

Results: No statistically significant associations were observed between HEI-2015 or DII scores and lipid or glycemic outcomes in the overall sample. However, subgroup analyses based on adjusted models revealed reduced odds of LDL elevation among individuals aged>60 (OR: 0.14, 95% CI: 0.02–0.91) and those with BMI≥30 (OR: 0.15, 95% CI: 0.02–0.90) in the highest tertile of DII change. These effects were not observed consistently across other subgroups.

Conclusion: While no significant associations were found in the overall cohort, subgroup analyses revealed that individuals over 60 and those with BMI≥30 had reduced odds of LDL elevation with higher DII scores. These findings suggest potential population-specific effects of dietary inflammation on lipid metabolism. Despite limitations such as a small sample size and wide confidence intervals, this study provides valuable exploratory evidence and underscores the need for larger, targeted investigations to confirm whether anti-inflammatory diets can improve metabolic outcomes in high-risk subgroups.


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Submitted: 26 Jan 2025
Revision: 17 Feb 2025
Accepted: 21 Feb 2025
ePublished: 15 Jul 2025
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