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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04894318
Other study ID # TYL-2018-8497
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date September 5, 2017
Est. completion date July 25, 2019

Study information

Verified date May 2021
Source TC Erciyes University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The aim of this study is to compare LDL sub-group concentration before and after a diet with low-fat and low-cholesterol prescribed to dyslipidemic patients for 12 weeks.


Description:

The study was conducted between January 2018-July 2019 in Erciyes University Health Application and Research Center. This study was planned as a clinical trial for treatment and 47 patients were included. All participants were given written consent. The study was evaluated to be ethically appropriate by Erciyes University Faculty of Medicine Clinical Research Ethics Committee. A low-fat (<30% of total energy), and low-cholesterol (<200 mg/day) diet was planned for the participants at the baseline, according to the gender, lifestyle, working conditions, nutritional habits, BMI, concomitant diseases and risk conditions. The patients were called for monthly controls and followed up for a total of 12 weeks. When the patients admitted at the first and second months, Body Impedance Analyzer (BIA) measurements were performed and dietary adherence was controlled. If necessary, the energy requirements of the patients were re-calculated and their diets were re-newed and if the patients had any questions on the diet, they were answered. Blood samples were taken from the patients at the baseline and after 12 weeks and the effects of a low-fat, low-cholesterol diet on biochemical and anthropometric measurements were evaluated. Energy restricted diet were planed for overweight and obese patients (~ 500-1000 kcal/day). In addition, patients were recommended to walk at a moderate speed for at least 30-40 min per day. Data Collection A questionnaire including socio-demographic characteristics, nutritional habits, physical activity status, and comorbid diseases was filled by the researcher. The food consumption frequency of the participants was evaluated by dividing the frequencies into four groups as consuming 5-6 times daily, consuming every other day, consuming 1-2 times a week and consuming 1-2 times a month or never at all. Food consumption records were also taken from each patient. Physical activity was questioned by the 'International Physical Activity Questionnaire (short form). Statistical analysis The suitability of the data for normal distribution was evaluated by histogram, q-q graphs and Shapiro-Wilk test. Variance homogeneity was tested with Levene test. Two groups independent samples t-test and Mann-Whitney U-tests were used for quantitative variables. In the qualitative data, two repeated measurement comparisons were used with McNemar-Bowker test. The paired t-test and Wilcoxon tests were used in the quantitative data for two repeated measurements. Spearman analysis was used to evaluate the relationship between quantitative variables. Data analysis was performed by Turcosa Cloud (Turcosa Ltd Co) statistical software. Significance level was accepted as p<0.05. Anthropometric measurements After the completing the questionnaire, anthropometric measurements were taken. Body weight: When the patient was in fasting state in the morning measured with thin clothes. While measuring body weight, the individual was asked to remove his heavy clothes (coats, jackets, etc.), belongings in the pockets (wallet, key ring, phone, address book etc.) and shoes. Attention is given to place the feet on the balance and to ensure a balanced distribution of body weight to the two feet. The individual was asked to stand upright and without moving. The measurement was made with a sensitivity of 0.1 kg (100 g). Height: The height was measured with a stadiometer while the feet were side-by-side and the head was in the Frankfort plane. Body mass index (BMI): BMI was calculated by dividing subjects body weight by square of his/her height. [BMI = Body weight (kg)/height (m)²]. Waist circumference: The waist circumference was measured with a non-elastic tape measuring the mid-point between the lower rib and the crista iliac crest. Waist-to height ratio: It was calculated by the division of waist circumference (cm) into height (cm). Neck circumference: Neck circumference was measured with a non-elastic plastic band from the middle of the neck height between the middle cervical spine and the middle anterior neck with a sensitivity of 0.1 cm. In men with Adam's apple, it was measured just below the protrusion. BIA measurements: Body composition of the participants was determined with Tanita BC-418 MA (Tanita Corporation of America, Inc., Arlington Heights, IL) device. In order to make accurate measurements; metal jewelery on individuals, socks, clothes that will affect the measurement excessively were removed and information about the person's age, height, gender and whether they are dealing with regular sports activities were entered into the device. Then, individuals were removed from the instrument with their heels on the electrodes and the measurement was made. It was taken into consideration that participants did not perform intensive physical activity 24-48 hours before the measurement. It was observed that individuals did not have heavy physical activity 24-48 hours before the measurement, they were fasted for at least 4 hours, no alcohol was used 24 hours before, and they did not consume too much beverages (tea, coffee) before the measurement (at least 4 hours). Biochemical parameters In the Endocrinology polyclinic; the patients were diagnosed with dyslipidemia by an endocrinologist and their fasting blood glucose (mg/dL), triglycerides (mg/dL), total cholesterol (mg/dL), HDL-cholesterol (mg/dL), LDL-cholesterol (mg/dL) levels were evaluated. Patients were selected according to the inclusion criteria and blood was drawn after fasting for at least 10-12 hours. Very low density lipoprotein (VLDL (mg/dL)), large-LDL (mg/dL), small-LDL (mg/dL) medium density lipoprotein (IDL (mg/dL)) (Mid A, B, C) values. After centrifugation, blood samples were kept in the freezer at -80°C in Erciyes University Endocrinology Service until analysis period. For patients who were not initially evaluated for insulin (mg/dL), some blood was collected and delivered to Erciyes University Blood Collection Department and studied at the Central Biochemistry Laboratory of Erciyes University. Fasting blood glucose, triglyceride, total cholesterol, HDL-cholesterol and LDL-cholesterol levels were measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). Insulin was measured by the ECLIA study method using the Roche Diagnostics (Mannheim, Germany). LDL subgroups were measured in serum samples using a Lipoprint System (Quantimetrix Inc., Redondo Beach, CA, USA). This system separates lipoproteins in a non-denaturing gel gradient of polyacrylamide based on net surface charge and size. The dye binds proportionally to the relative amount of cholesterol in each lipoprotein. After the electrophoresis, densitometric analyzes and proportional concentrations of lipoprotein classes and subclasses were calculated on the Lipoware software. In this system, VLDL, IDL corresponding to 3 midbands (Mid A, B, C) and 7 LDL subgroups: LDL-1 to -2 (large, bouyant, pattern A); LDL-3 to -7 (small, dense; pattern B). The system also gives the average LDL particle size. Type A if particle size was ≥268Â, medium level if particle size was 265-268Â, type B if particle size was ≤265Â.


Recruitment information / eligibility

Status Completed
Enrollment 47
Est. completion date July 25, 2019
Est. primary completion date September 5, 2018
Accepts healthy volunteers No
Gender All
Age group 25 Years to 65 Years
Eligibility Inclusion Criteria - Being diagnosed with dyslipidemia by an endocrinologist - Those who do not have a history of diabetes, hyperthyroidism, hypothyroidism (including those who have hypothyroidism but receive replacement therapy) - 25-65 years - Body Mass Index (BMI) = 25-40 kg/m² - Smoking three or less than three cigarettes a day - Not using herbal supplements. - Not being in pregnancy or lactation period - Volunteering to participate in the study Exclusion Criteria: - Not being diagnosed with dyslipidemia - Using a drug that affects the lipid profile - Not being in the age range of 25-65 - BMI = 25-40 kg/m² not - Smoking more than three cigarettes a day - Using herbal supplements - Being in the pregnancy or lactation period - Not willing to participate in the study

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Low-fat and low-cholesterol diet
Low-fat (<30% of total energy) and low-cholesterol (<200mg/day) diet total of 12 weeks

Locations

Country Name City State
Turkey Erciyes University Kayseri Melikgazi

Sponsors (1)

Lead Sponsor Collaborator
TC Erciyes University

Country where clinical trial is conducted

Turkey, 

References & Publications (33)

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Chiu S, Williams PT, Krauss RM. Effects of a very high saturated fat diet on LDL particles in adults with atherogenic dyslipidemia: A randomized controlled trial. PLoS One. 2017 Feb 6;12(2):e0170664. doi: 10.1371/journal.pone.0170664. eCollection 2017. — View Citation

El Harchaoui K, van der Steeg WA, Stroes ES, Kuivenhoven JA, Otvos JD, Wareham NJ, Hutten BA, Kastelein JJ, Khaw KT, Boekholdt SM. Value of low-density lipoprotein particle number and size as predictors of coronary artery disease in apparently healthy men — View Citation

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Gerber PA, Nikolic D, Rizzo M. Small, dense LDL: an update. Curr Opin Cardiol. 2017 Jul;32(4):454-459. doi: 10.1097/HCO.0000000000000410. — View Citation

Guay V, Lamarche B, Charest A, Tremblay AJ, Couture P. Effect of short-term low- and high-fat diets on low-density lipoprotein particle size in normolipidemic subjects. Metabolism. 2012 Jan;61(1):76-83. doi: 10.1016/j.metabol.2011.06.002. Epub 2011 Aug 3. — View Citation

Hoefner DM, Hodel SD, O'Brien JF, Branum EL, Sun D, Meissner I, McConnell JP. Development of a rapid, quantitative method for LDL subfractionation with use of the Quantimetrix Lipoprint LDL System. Clin Chem. 2001 Feb;47(2):266-74. — View Citation

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Ivanova EA, Myasoedova VA, Melnichenko AA, Grechko AV, Orekhov AN. Small Dense Low-Density Lipoprotein as Biomarker for Atherosclerotic Diseases. Oxid Med Cell Longev. 2017;2017:1273042. doi: 10.1155/2017/1273042. Epub 2017 May 7. Review. — View Citation

Jacobson TA, Maki KC, Orringer CE, Jones PH, Kris-Etherton P, Sikand G, La Forge R, Daniels SR, Wilson DP, Morris PB, Wild RA, Grundy SM, Daviglus M, Ferdinand KC, Vijayaraghavan K, Deedwania PC, Aberg JA, Liao KP, McKenney JM, Ross JL, Braun LT, Ito MK, — View Citation

Jellinger PS, Smith DA, Mehta AE, Ganda O, Handelsman Y, Rodbard HW, Shepherd MD, Seibel JA; AACE Task Force for Management of Dyslipidemia and Prevention of Atherosclerosis. American Association of Clinical Endocrinologists' Guidelines for Management of — View Citation

Klop B, Elte JW, Cabezas MC. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients. 2013 Apr 12;5(4):1218-40. doi: 10.3390/nu5041218. Review. — View Citation

Kostis JB. The importance of managing hypertension and dyslipidemia to decrease cardiovascular disease. Cardiovasc Drugs Ther. 2007 Aug;21(4):297-309. Review. — View Citation

Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011 Oct 21;8:115. doi: 10.1186/1479-5868-8-115. Review. — View Citation

Mahley RW, Pépin J, Palaoglu KE, Malloy MJ, Kane JP, Bersot TP. Low levels of high density lipoproteins in Turks, a population with elevated hepatic lipase. High density lipoprotein characterization and gender-specific effects of apolipoprotein e genotype — View Citation

Newman AB, Lee JS, Visser M, Goodpaster BH, Kritchevsky SB, Tylavsky FA, Nevitt M, Harris TB. Weight change and the conservation of lean mass in old age: the Health, Aging and Body Composition Study. Am J Clin Nutr. 2005 Oct;82(4):872-8; quiz 915-6. — View Citation

Ohmura H, Mokuno H, Sawano M, Hatsumi C, Mitsugi Y, Watanabe Y, Daida H, Yamaguchi H. Lipid compositional differences of small, dense low-density lipoprotein particle influence its oxidative susceptibility: possible implication of increased risk of corona — View Citation

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Schwingshackl L, Hoffmann G. Comparison of effects of long-term low-fat vs high-fat diets on blood lipid levels in overweight or obese patients: a systematic review and meta-analysis. J Acad Nutr Diet. 2013 Dec;113(12):1640-61. doi: 10.1016/j.jand.2013.07 — View Citation

Srisawasdi P, Vanavanan S, Rochanawutanon M, Pornsuriyasak P, Tantrakul V, Kruthkul K, Kotani K. Heterogeneous properties of intermediate- and low-density lipoprotein subpopulations. Clin Biochem. 2013 Oct;46(15):1509-15. doi: 10.1016/j.clinbiochem.2013.0 — View Citation

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Wu L, Ma D, Walton-Moss B, He Z. Effects of low-fat diet on serum lipids in premenopausal and postmenopausal women: a meta-analysis of randomized controlled trials. Menopause. 2014 Jan;21(1):89-99. doi: 10.1097/GME.0b013e318291f5c2. Review. — View Citation

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Zen V, Fuchs FD, Wainstein MV, Gonçalves SC, Biavatti K, Riedner CE, Fuchs FC, Wainstein RV, Rhoden EL, Ribeiro JP, Fuchs SC. Neck circumference and central obesity are independent predictors of coronary artery disease in patients undergoing coronary angi — View Citation

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* Note: There are 33 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Change in Baseline LDL subgroups at 12 weeks LDL subgroups were measured in serum samples using a Lipoprint System (Quantimetrix Inc., Redondo Beach, CA, USA). This system separates lipoproteins in a non-denaturing gel gradient of polyacrylamide based on net surface charge and size. The dye binds proportionally to the relative amount of cholesterol in each lipoprotein. After the electrophoresis, densitometric analyzes and proportional concentrations of lipoprotein classes and subclasses were calculated on the Lipoware software. In this system, VLDL, IDL corresponding to 3 midbands (Mid A, B, C) and 7 LDL subgroups: LDL-1 to -2 (large, bouyant, pattern A); LDL-3 to -7 (small, dense; pattern B). The system also gives the average LDL particle size. Type A if particle size was =268Â, medium level if particle size was 265-268Â, type B if particle size was =265Â Baseline and 12 weeks
Secondary Change in Baseline body weight at 12 weeks Body weight in kilograms Baseline and 12 weeks
Secondary Change in Baseline height at 12 weeks Height in centimeter Baseline and 12 weeks
Secondary Change in Baseline Body mass index (BMI) at 12 weeks Body mass index (BMI) was calculated by dividing subjects body weight by square of his/her height. [BMI = Body weight (kg)/height (m)²] Baseline and 12 weeks
Secondary Change in Baseline waist circumference at 12 weeks Waist circumference in centimeter Baseline and 12 weeks
Secondary Change in Baseline waist-to-height ratio at 12 weeks Waist-to-height ratio was calculated by the division of waist circumference (cm) into height (cm) Baseline and 12 weeks
Secondary Change in Baseline neck circumference at 12 weeks Neck circumference in centimeter Baseline and 12 weeks
Secondary Change in Baseline fat percentage at 12 weeks Fat percentage (%) was measured by Tanita BC-418 MA (Tanita Corporation of America, Inc., Arlington Heights, IL) Baseline and 12 weeks
Secondary Change in Baseline muscle mass at 12 weeks Muscle mass was measured by Tanita BC-418 MA (Tanita Corporation of America, Inc., Arlington Heights, IL) Baseline and 12 weeks
Secondary Change in Baseline blood sugar at 12 weeks Blood sugar (mg/dL) was measured after at least 10-12 hours of fasting. Fasting blood glucose was measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). Baseline and 12 weeks
Secondary Change in Baseline triglycerides at 12 weeks Triglycerides (mg/dL) was measured after at least 10-12 hours of fasting. Triglyceride was measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). Triglycerides measurement is used in the diagnosis of dyslipidemia and the risk of cardiovascular disease increases above 150 mg/dL. Baseline and 12 weeks
Secondary Change in Baseline total cholesterol at 12 weeks Total cholesterol (mg/dL) was measured after at least 10-12 hours of fasting. Total cholesterol was measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). Total cholesterol measurement is used in the diagnosis of dyslipidemia and the risk of cardiovascular disease increases above 200 mg/dL. Baseline and 12 weeks
Secondary Change in Baseline HDL-cholesterol at 12 weeks HDL-cholesterol (mg/dL) was measured after at least 10-12 hours of fasting. HDL-cholesterol was measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). HDL cholesterol measurement is used in the diagnosis of dyslipidemia and the increase in HDL cholesterol reduces the risk of cardiovascular disease. Baseline and 12 weeks
Secondary Change in Baseline LDL-cholesterol at 12 weeks LDL-cholesterol (mg/dL) was measured after at least 10-12 hours of fasting. LDL-cholesterol levels was measured by spectrophotometric method using Roche Diagnostics (Basel, Switzerland). LDL-cholesterol measurement is used in the diagnosis of dyslipidemia and the risk of cardiovascular disease increases above 130 mg/dL. Baseline and 12 weeks
Secondary Change in Baseline insulin at 12 weeks LDL-cholesterol (mg/dL) was measured after at least 10-12 hours of fasting. Insulin was measured by the ECLIA study method using the Roche Diagnostics (Mannheim, Germany). Baseline and 12 weeks
Secondary Change in Baseline blood pressure Levels at 12 weeks Blood pressure was measured with a device called a sphygmomanometer while patients were at rest. High blood pressure is one of the most important risk factors for cardiovascular disease. Baseline and 12 weeks
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