Inflammation and Diabetes: Evaluating Antioxidant Levels
IDEAL
The Relationship Between Dietary Antioxidant Capacity, Inflammatory Response, and Nutritional Parameters in Type 2 Diabetes Management
1 other identifier
observational
180
1 country
1
Brief Summary
The goal of this observational, cross-sectional study is to evaluate the relationships between dietary total antioxidant capacity, systemic inflammatory response markers, and nutritional parameters in adult patients with Type 2 Diabetes (T2DM). Participants will be classified into controlled (HbA1c \< %7) and uncontrolled (HbA1c ≥ %7) diabetes groups based on their glycemic control. The main questions it aims to answer are: Does dietary antioxidant capacity affect systemic inflammation levels and metabolic parameters? Is there a relationship between nutritional risk status and inflammatory response in T2DM patients?
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jul 2026
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 13, 2026
CompletedStudy Start
First participant enrolled
July 15, 2026
CompletedFirst Posted
Study publicly available on registry
July 29, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
July 29, 2026
July 1, 2026
6 months
July 13, 2026
July 24, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (7)
Composite Dietary Antioxidant Index (CDAI)
The Composite Dietary Antioxidant Index (CDAI) will be calculated to evaluate the total and synergistic effect of dietary antioxidants. It is based on the standardized daily intake of six main antioxidant components: Vitamin A, Vitamin C, Vitamin E, Magnesium, Selenium, and Zinc. Nutrient data will be obtained from food consumption records using the BeBiS 9 nutritional software. For each antioxidant nutrient, a unitless Z-score will be calculated by subtracting the population's mean intake from the individual's intake and dividing by the standard deviation.
Baseline
The Dietary Antioxidant Index
The Dietary Antioxidant Index (DAI) will be calculated based on the daily antioxidant intake obtained from the participants' food frequency questionnaire data. The main dietary antioxidant components (Vitamin C, Vitamin E, $\\beta$-carotene, flavonoids, and other polyphenols) will be quantitatively determined using the BeBiS 9 nutritional software. For each antioxidant component, the obtained values will be standardized into a Z-score by subtracting the mean intake of the study population from the individual's intake and dividing by the standard deviation. The individual's final DAI score will then be calculated by summing the Z-scores of all these components.
Baseline
Systemic Immune-Inflammation Index (SII)
Calculated from peripheral blood parameters using the formula: Platelet count × Neutrophil count / Lymphocyte count.
Baseline
Systemic Inflammation Response Index (SIRI)
Calculated using the formula: Neutrophil count × Monocyte count / Lymphocyte count.
Baseline
Triglyceride-Glucose (TyG) Index
Calculated using fasting plasma glucose and fasting triglyceride levels as an indirect marker of insulin resistance.
Baseline
Nutritional Assessment - Nutritional Risk Screening 2002 (NRS-2002)
The nutritional risk of the participants will be evaluated using the Nutritional Risk Screening 2002 (NRS-2002) tool. The NRS-2002 assesses impaired nutritional status and disease severity. The total score ranges from 0 to 7. A total score of 3 or higher indicates that the patient is at nutritional risk, while a score less than 3 indicates no immediate nutritional risk. The assessment will be administered by the researcher at the beginning of the study.
Baseline
Nutritional Assessment - Malnutrition Universal Screening Tool (MUST)
The nutritional risk of the participants will be evaluated using the Malnutrition Universal Screening Tool (MUST). MUST is a validated screening tool used to identify adults who are malnourished or at risk of malnutrition. The score is calculated based on three parameters: current body mass index (BMI), unintentional weight loss, and the effect of acute disease. The total score ranges from 0 to 6. A score of 0 indicates low risk, a score of 1 indicates medium risk, and a score of 2 or higher indicates a high risk of malnutrition. The assessment will be administered by the researcher at the beginning of the study.
Baseline
Secondary Outcomes (30)
Anthropometric Measurements - Body weight (kg)
Baseline
Anthropometric Measurements - Height
Baseline
Body Mass Index
Baseline
Anthropometric Measurements - Fat Mass
Baseline
Body Mass Index Classification
Baseline
- +25 more secondary outcomes
Study Arms (2)
Controlled Type 2 Diabetes
Adults diagnosed with Type 2 Diabetes with an HbA1c level of \< 7%
Uncontrolled Type 2 Diabetes
Adults diagnosed with Type 2 Diabetes with an HbA1c level of ≥ 7%
Interventions
Eligibility Criteria
Outpatients applying to Internal Medicine and Family Medicine clinics of Gaziosmanpasa Training and Research Hospital, Istanbul, Turkey.
You may qualify if:
- Adults aged 18 and older diagnosed with Type 2 Diabetes.
- Individuals whose biochemical analyses have been performed by a physician within the last 1 month.
- Individuals willing to participate voluntarily.
You may not qualify if:
- Missing required laboratory data in the last 1 month.
- Presence of acute infection or inflammatory disease.
- Advanced kidney or liver failure.
- Active malignancy or receiving chemotherapy/radiotherapy.
- Pregnant and lactating women.
- Use of antioxidant/vitamin-mineral supplements.
- Receiving special diet therapies (e.g., time-restricted, ketogenic, or elimination diet).
- Advanced cognitive impairment or communication difficulties.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Gaziosmanpasa Training and Research Hospital
Istanbul, Turkey (Türkiye)
Related Publications (10)
Saglam M, Arikan H, Savci S, Inal-Ince D, Bosnak-Guclu M, Karabulut E, Tokgozoglu L. International physical activity questionnaire: reliability and validity of the Turkish version. Percept Mot Skills. 2010 Aug;111(1):278-84. doi: 10.2466/06.08.PMS.111.4.278-284.
PMID: 21058606BACKGROUNDKyle UG, Kossovsky MP, Karsegard VL, Pichard C. Comparison of tools for nutritional assessment and screening at hospital admission: a population study. Clin Nutr. 2006 Jun;25(3):409-17. doi: 10.1016/j.clnu.2005.11.001. Epub 2005 Dec 13.
PMID: 16356595BACKGROUNDKondrup J, Allison SP, Elia M, Vellas B, Plauth M; Educational and Clinical Practice Committee, European Society of Parenteral and Enteral Nutrition (ESPEN). ESPEN guidelines for nutrition screening 2002. Clin Nutr. 2003 Aug;22(4):415-21. doi: 10.1016/s0261-5614(03)00098-0.
PMID: 12880610BACKGROUNDOztag M, Gunes FE. Validation of a food frequency questionnaire for assessing total antioxidant status. Clin Nutr ESPEN. 2022 Apr;48:351-355. doi: 10.1016/j.clnesp.2022.01.019. Epub 2022 Jan 23.
PMID: 35331512BACKGROUNDSatia JA, Watters JL, Galanko JA. Validation of an antioxidant nutrient questionnaire in whites and African Americans. J Am Diet Assoc. 2009 Mar;109(3):502-8, 508.e1-6. doi: 10.1016/j.jada.2008.11.033.
PMID: 19248870BACKGROUNDLin Y, Cao X, Zhu H, Chen X. Association of dietary inflammatory index, composite dietary antioxidant index, and frailty in elderly adults with diabetes. Eur J Med Res. 2024 Oct 1;29(1):480. doi: 10.1186/s40001-024-02083-0.
PMID: 39354551BACKGROUNDWright ME, Mayne ST, Stolzenberg-Solomon RZ, Li Z, Pietinen P, Taylor PR, Virtamo J, Albanes D. Development of a comprehensive dietary antioxidant index and application to lung cancer risk in a cohort of male smokers. Am J Epidemiol. 2004 Jul 1;160(1):68-76. doi: 10.1093/aje/kwh173.
PMID: 15229119BACKGROUNDSimental-Mendia LE, Rodriguez-Moran M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord. 2008 Dec;6(4):299-304. doi: 10.1089/met.2008.0034.
PMID: 19067533BACKGROUNDQi Q, Zhuang L, Shen Y, Geng Y, Yu S, Chen H, Liu L, Meng Z, Wang P, Chen Z. A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy. Cancer. 2016 Jul 15;122(14):2158-67. doi: 10.1002/cncr.30057. Epub 2016 May 6.
PMID: 27152949BACKGROUNDHu B, Yang XR, Xu Y, Sun YF, Sun C, Guo W, Zhang X, Wang WM, Qiu SJ, Zhou J, Fan J. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin Cancer Res. 2014 Dec 1;20(23):6212-22. doi: 10.1158/1078-0432.CCR-14-0442. Epub 2014 Sep 30.
PMID: 25271081BACKGROUND
Related Links
- Uyar, S., Kök, M., Ünal, A., Köker, G., Dolu, S., İnci, A., \& Çekin, A. H. (2019). The validity of malnutrition universal screening tool (MUST) for nutritional screening in hemodialysis patients. Turkish Journal of Nephrology, 28(2), 109-113.
- BAPEN. (2003). The 'MUST' Explanatory Booklet: A Guide to the 'Malnutrition Universal Screening Tool' for Adults. Redditch: BAPEN.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Asisstant Professor
Study Record Dates
First Submitted
July 13, 2026
First Posted
July 29, 2026
Study Start
July 15, 2026
Primary Completion (Estimated)
December 30, 2026
Study Completion (Estimated)
December 30, 2026
Last Updated
July 29, 2026
Record last verified: 2026-07