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Completed

NCT Number: NCT07402993

DASH Diet, Triglycerides and AIP in Parkinson's Disease

Participants who agreed to participate in the study were informed about the purpose of the research and obtained their consent to participate in the study using an informed consent form. The study was conducted on 70 patients with Parkinson's disease. Participants who volunteered to participate in the study were given a questionnaire form containing sociodemographic characteristics. In addition, participants' anthropometric measurements (body weight, height, waist and hip circumference, Body Mass Index (BMI)), biochemical parameters (fasting blood glucose, HbA1c, triglycerides, LDL cholesterol, triglycerides, total cholesterol, C-reactive protein (CRP), albumin, and hematology markers (hemoglobin (Hb), hematocrit (Htc), leukocytes and platelets, lymphocytes) and serum vitamin D, folic acid, vitamin B12) and nutritional status (food consumption frequency, DASH diet compliance) were obtained. New cardiovascular risk markers such as neutrophil/lymphocyte ratio (NLR), monocyte HDL ratio (MHR), and plasma atherogenic index (PAI) were calculated.

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Key information

Age range

19 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Bolu Abant İzzet Baysal University, Faculty of Health Sciences

Bolu, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Individuals over 19 years of age
  • Individuals who are literate
  • Individuals diagnosed with Parkinson's Disease

Exclusion criteria

  • Individuals who have had an acute infection or inflammatory disease within the past month
  • Individuals with chronic infectious or inflammatory diseases
  • Individuals with cancer

Treatment and study plan

No intervention (observational study)

Other

No intervention (observational study)

Primary outcomes

  1. Questionnaire Form

    Time frame: 6 months

    Sociodemographic characteristics of the individuals (age, constipation status, presence of comorbidities, gender, smoking and alcohol use) were questioned.

  2. Body weight (BW)

    Time frame: 6 months

    BW was measured using a calibrated digital scale placed on a flat, tiled surface. The scale was sensitive to 100 grams.

  3. Height

    Time frame: 6 months

    Height was measured using a stadiometer with the participant's head positioned in the Frankfort plane and feet placed together.

  4. Waist Circumference (WC)

    Time frame: 6 months

    WC was measured at the midpoint between the lowest rib and the iliac crest (cristal point) using a flexible measuring tape.

  5. Hip Circumference (HC)

    Time frame: 6 months

    HC was measured at the widest point of the hips using a flexible measuring tape.

  6. Body Mass Index (BMI)

    Time frame: 6 months

    BMI was calculated by dividing body weight (in kilograms) by the square of height (in meters): BMI = weight (kg) / height² (m²).

  7. Fasting Blood Glucose

    Time frame: 6 months

    Fasting blood glucose was measured using standard laboratory techniques during routine outpatient visits.

  8. Triglycerides

    Time frame: 6 months

    Triglyceride levels were measured via fasting blood samples analyzed in the outpatient clinic laboratory.

  9. LDL-Cholesterol

    Time frame: 6 months

    LDL-cholesterol was measured from fasting serum samples using standard enzymatic colorimetric methods.

  10. HDL-Cholesterol

    Time frame: 6 months

    HDL-cholesterol was measured from fasting serum samples using standard enzymatic colorimetric methods.

  11. C-Reactive Protein (CRP)

    Time frame: 6 months

    CRP levels were measured using routine laboratory procedures in outpatient visits.

  12. Vitamin D

    Time frame: 6 months

    Serum vitamin D (25(OH)D) levels were assessed using chemiluminescence immunoassay methods in the outpatient clinic laboratory.

  13. Folic Acid

    Time frame: 6 months

    Serum folic acid levels were measured using standard automated immunoassay techniques.immunoassay methods in the outpatient clinic laboratory.

  14. Vitamin B12

    Time frame: 6 months

    Serum vitamin B12 concentrations were measured using automated chemiluminescent immunoassay.immunoassay methods in the outpatient clinic laboratory.

  15. Atherogenic Index of Plasma (AIP)

    Time frame: 6 months

    AIP is a logarithmically transformed ratio of plasma triglycerides to high-density lipoprotein cholesterol [log₁₀(TG/HDL-C)], and it is used as a surrogate marker of atherogenicity and cardiovascular risk.

  16. Monocyte-to-High-Density Lipoprotein Cholesterol Ratio

    Time frame: 6 months

    A biomarker reflecting the balance between inflammatory status (monocytes) and anti-atherogenic lipid components (HDL-C); it has been proposed as an indicator of systemic inflammation and cardiovascular risk.

  17. Total Cholesterol-to-High-Density Lipoprotein Cholesterol Ratio

    Time frame: 6 months

    A widely used index of atherogenic risk, representing the balance between total cholesterol and protective HDL-C, with higher values indicating increased cardiovascular risk.

  18. Neutrophil-to-Lymphocyte Ratio (NLR)

    Time frame: 6 months

    A systemic inflammatory marker calculated as the ratio of neutrophils to lymphocytes, commonly used to assess inflammatory status and immune response.

  19. Food consumption frequency

    Time frame: 6 months

    Participants were asked about the foods they consumed in the past month from seven groups, including five basic food groups (meat and meat products, milk and dairy products, bread and grains, vegetables and fruits, sugars and fats), beverages, and fast food. Participants were asked how often and in what quantities they consumed these foods using eight options: "every meal," "every day," "5-6 days a week," "3-4 days a week," "1-2 days a week," "once every 15 days," "once a month," and "never." In evaluating food consumption records, responses regarding food consumption frequency were calculated using food consumption frequency. The amounts of food and beverages consumed were multiplied by "3" for "every meal," '1' for "every day," "0.7855" for "5-6 times a week," "0.498" for "3-4 times a week," "0.2145" for "1-2 times a week," "0.067" for "once every 15 days," and "0.033" for "once a month" to obtain the daily average amounts.

  20. Food consumption record

    Time frame: 6 months

    A single-day food consumption record was obtained using the 24-hour recall method to determine participants' food consumption patterns. The Food and Nutrition Photo Catalog was used to estimate portions to ensure that the amounts of food consumed were assessed accurately and reliably. Based on these records, daily energy and nutrient intakes were calculated using the Nutrition Information System (BEBİS) software, based on the type and amount of food consumed by individuals in the last 24 hours.

  21. DASH diet compliance

    Time frame: 6 months

    Individuals' DASH diet compliance scores were calculated based on their food consumption frequency after their energy requirements were calculated. The highest possible score on the DASH diet compliance scale is 8.0. A score of 4.5 or above is considered 'high compliance', while a score below 4.5 is considered 'low compliance'.

Sponsors and collaborators

Lead sponsor

Abant Izzet Baysal University

Other

Registry information

Official study title

DASH Diet and Cardiometabolic Risk in Parkinson's Disease: Lower Triglycerides and AIP With Higher Adherence

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Feb 11, 2026
Registry last updated
Feb 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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