Diet Quality And Metabolic Syndrome In Adult Individuals: Evaluation Of Turkey Nutrition And Health Survey 2017
NCT ID: NCT06976970
Last Updated: 2025-05-16
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
4915 participants
OBSERVATIONAL
2024-11-01
2025-06-30
Brief Summary
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Detailed Description
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Diet quality will be assessed using several validated dietary indices, including the Healthy Eating Index-2015 (HEI-2015), the Dietary Inflammatory Index (DII), the modified Mediterranean Diet Score (MDS), and the DASH (Dietary Approaches to Stop Hypertension) score. These indices provide a comprehensive evaluation of overall dietary patterns and their potential impact on metabolic health.
Metabolic syndrome will be defined based on the Joint Interim Statement (2009) criteria. Participants will be classified as having metabolic syndrome if at least three of the following five components are present: abdominal obesity, elevated blood pressure or receiving antihypertensive treatment, reduced HDL cholesterol levels or receiving treatment for dyslipidemia, elevated triglyceride levels or receiving lipid-lowering therapy, and elevated fasting blood glucose or receiving treatment for hyperglycemia.
Statistical analysis will include descriptive statistics, t-tests or Mann-Whitney U tests for comparisons between MetS and non-MetS groups, and multivariate logistic regression analyses to determine the associations between dietary indices and the likelihood of having MetS, adjusting for relevant sociodemographic and lifestyle covariates.
Statistical analyses were conducted using SPSS version 22.0. Descriptive statistics included frequencies and percentages for categorical variables and means with standard deviations or medians with ranges for continuous variables, depending on the distribution. Normality was assessed using the Shapiro-Wilk test. Group comparisons were performed using the Mann-Whitney U test or Kruskal-Wallis test for non-normally distributed variables and the Chi-square test for categorical variables. Correlations between continuous variables were evaluated using Spearman's rank correlation coefficient. Binary logistic regression analysis was used to identify factors associated with the presence of metabolic syndrome. A p-value of \<0.05 was considered statistically significant.
This study is expected to contribute to the national evidence base on dietary patterns and metabolic health and to inform public health strategies aiming to reduce the burden of non-communicable diseases in Turkiye.
Conditions
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Study Design
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OTHER
RETROSPECTIVE
Study Groups
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Metabolic Syndrome group
No interventions assigned to this group
Non-Metabolic Syndrome group
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Participated in the 2017 Turkey Nutrition and Health Survey (TNHS)
Exclusion Criteria
19 Years
ALL
No
Sponsors
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Elif Akbas
OTHER
Responsible Party
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Elif Akbas
Research Assistant
Principal Investigators
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Elif Akbas, Research Assistant
Role: PRINCIPAL_INVESTIGATOR
Marmara University
Yasemin Ertas Ozturk, Assistant Professor
Role: PRINCIPAL_INVESTIGATOR
Ondokuz Mayıs University
Locations
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Ondokuz Mayıs University
Samsun, , Turkey (Türkiye)
Countries
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Other Identifiers
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OMÜ KAEK 2024/120
Identifier Type: -
Identifier Source: org_study_id
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