The Effect Of Low-Fat And Low-Cholesterol Dietary Intervention On LDL Sub-Groups In Turkısh Dyslipidemic Patients
Primary Purpose
Dyslipidemias
Status
Completed
Phase
Not Applicable
Locations
Turkey
Study Type
Interventional
Intervention
Low-fat and low-cholesterol diet
Sponsored by
About this trial
This is an interventional supportive care trial for Dyslipidemias focused on measuring Dyslipidemia, Low-Fat Low-Cholesterol Diet, LDL Sub-groups
Eligibility Criteria
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
Sites / Locations
- Erciyes University
Arms of the Study
Arm 1
Arm Type
Other
Arm Label
Low-fat, low-cholesterol diet
Arm Description
Patients diagnosed with dyslipidemia by the endocrinologist were followed up for 12 weeks with a low-fat, low-cholesterol diet on a monthly basis, provided that they were suitable for each.
Outcomes
Primary Outcome Measures
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
Secondary Outcome Measures
Change in Baseline body weight at 12 weeks
Body weight in kilograms
Change in Baseline height at 12 weeks
Height in centimeter
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]
Change in Baseline waist circumference at 12 weeks
Waist circumference in centimeter
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)
Change in Baseline neck circumference at 12 weeks
Neck circumference in centimeter
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)
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)
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).
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.
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.
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.
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.
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).
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.
Full Information
1. Study Identification
Unique Protocol Identification Number
NCT04894318
Brief Title
The Effect Of Low-Fat And Low-Cholesterol Dietary Intervention On LDL Sub-Groups In Turkısh Dyslipidemic Patients
Official Title
The Short Term Beneficıal Effects Of A Low-Fat And Low-Cholesterol Dietary Intervention On LDL Sub-Groups In Dyslipidemic Turkish Patients
Study Type
Interventional
2. Study Status
Record Verification Date
May 2021
Overall Recruitment Status
Completed
Study Start Date
September 5, 2017 (Actual)
Primary Completion Date
September 5, 2018 (Actual)
Study Completion Date
July 25, 2019 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
TC Erciyes University
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief 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.
Detailed 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.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Dyslipidemias
Keywords
Dyslipidemia, Low-Fat Low-Cholesterol Diet, LDL Sub-groups
7. Study Design
Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
47 (Actual)
8. Arms, Groups, and Interventions
Arm Title
Low-fat, low-cholesterol diet
Arm Type
Other
Arm Description
Patients diagnosed with dyslipidemia by the endocrinologist were followed up for 12 weeks with a low-fat, low-cholesterol diet on a monthly basis, provided that they were suitable for each.
Intervention Type
Behavioral
Intervention Name(s)
Low-fat and low-cholesterol diet
Intervention Description
Low-fat (<30% of total energy) and low-cholesterol (<200mg/day) diet total of 12 weeks
Primary Outcome Measure Information:
Title
Change in Baseline LDL subgroups at 12 weeks
Description
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
Time Frame
Baseline and 12 weeks
Secondary Outcome Measure Information:
Title
Change in Baseline body weight at 12 weeks
Description
Body weight in kilograms
Time Frame
Baseline and 12 weeks
Title
Change in Baseline height at 12 weeks
Description
Height in centimeter
Time Frame
Baseline and 12 weeks
Title
Change in Baseline Body mass index (BMI) at 12 weeks
Description
Body mass index (BMI) was calculated by dividing subjects body weight by square of his/her height. [BMI = Body weight (kg)/height (m)²]
Time Frame
Baseline and 12 weeks
Title
Change in Baseline waist circumference at 12 weeks
Description
Waist circumference in centimeter
Time Frame
Baseline and 12 weeks
Title
Change in Baseline waist-to-height ratio at 12 weeks
Description
Waist-to-height ratio was calculated by the division of waist circumference (cm) into height (cm)
Time Frame
Baseline and 12 weeks
Title
Change in Baseline neck circumference at 12 weeks
Description
Neck circumference in centimeter
Time Frame
Baseline and 12 weeks
Title
Change in Baseline fat percentage at 12 weeks
Description
Fat percentage (%) was measured by Tanita BC-418 MA (Tanita Corporation of America, Inc., Arlington Heights, IL)
Time Frame
Baseline and 12 weeks
Title
Change in Baseline muscle mass at 12 weeks
Description
Muscle mass was measured by Tanita BC-418 MA (Tanita Corporation of America, Inc., Arlington Heights, IL)
Time Frame
Baseline and 12 weeks
Title
Change in Baseline blood sugar at 12 weeks
Description
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).
Time Frame
Baseline and 12 weeks
Title
Change in Baseline triglycerides at 12 weeks
Description
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.
Time Frame
Baseline and 12 weeks
Title
Change in Baseline total cholesterol at 12 weeks
Description
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.
Time Frame
Baseline and 12 weeks
Title
Change in Baseline HDL-cholesterol at 12 weeks
Description
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.
Time Frame
Baseline and 12 weeks
Title
Change in Baseline LDL-cholesterol at 12 weeks
Description
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.
Time Frame
Baseline and 12 weeks
Title
Change in Baseline insulin at 12 weeks
Description
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).
Time Frame
Baseline and 12 weeks
Title
Change in Baseline blood pressure Levels at 12 weeks
Description
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.
Time Frame
Baseline and 12 weeks
10. Eligibility
Sex
All
Minimum Age & Unit of Time
25 Years
Maximum Age & Unit of Time
65 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
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
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Ülger Kaçar Mutlutürk, Phd
Organizational Affiliation
TC Erciyes University
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Fahri Bayram, Prof.Dr.
Organizational Affiliation
TC Erciyes University
Official's Role
Study Director
Facility Information:
Facility Name
Erciyes University
City
Kayseri
State/Province
Melikgazi
ZIP/Postal Code
38039
Country
Turkey
12. IPD Sharing Statement
Plan to Share IPD
Yes
IPD Sharing Plan Description
All off the individual
IPD Sharing Time Frame
Immediately following publication. No end date
IPD Sharing Access Criteria
Anyone who wishes to access the date
Citations:
PubMed Identifier
22522068
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 Dyslipidemia and Prevention of Atherosclerosis. Endocr Pract. 2012 Mar-Apr;18 Suppl 1:1-78. doi: 10.4158/ep.18.s1.1. No abstract available.
Results Reference
result
PubMed Identifier
24636181
Citation
Bayram F, Kocer D, Gundogan K, Kaya A, Demir O, Coskun R, Sabuncu T, Karaman A, Cesur M, Rizzo M, Toth PP, Gedik V. Prevalence of dyslipidemia and associated risk factors in Turkish adults. J Clin Lipidol. 2014 Mar-Apr;8(2):206-16. doi: 10.1016/j.jacl.2013.12.011. Epub 2014 Jan 19.
Results Reference
result
PubMed Identifier
10946017
Citation
Mahley RW, Pepin 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. J Lipid Res. 2000 Aug;41(8):1290-301.
Results Reference
result
PubMed Identifier
25988764
Citation
Bedard A, Corneau L, Lamarche B, Dodin S, Lemieux S. Sex Differences in the Impact of the Mediterranean Diet on LDL Particle Size Distribution and Oxidation. Nutrients. 2015 May 15;7(5):3705-23. doi: 10.3390/nu7053705.
Results Reference
result
PubMed Identifier
17276177
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 and women: the EPIC-Norfolk Prospective Population Study. J Am Coll Cardiol. 2007 Feb 6;49(5):547-53. doi: 10.1016/j.jacc.2006.09.043. Epub 2007 Jan 22.
Results Reference
result
PubMed Identifier
20431054
Citation
Ai M, Otokozawa S, Asztalos BF, Ito Y, Nakajima K, White CC, Cupples LA, Wilson PW, Schaefer EJ. Small dense LDL cholesterol and coronary heart disease: results from the Framingham Offspring Study. Clin Chem. 2010 Jun;56(6):967-76. doi: 10.1373/clinchem.2009.137489. Epub 2010 Apr 29.
Results Reference
result
PubMed Identifier
28426445
Citation
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.
Results Reference
result
PubMed Identifier
26247089
Citation
Feingold KR. Introduction to Lipids and Lipoproteins. 2021 Jan 19. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, editors. Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000-. Available from http://www.ncbi.nlm.nih.gov/books/NBK305896/
Results Reference
result
PubMed Identifier
28572872
Citation
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.
Results Reference
result
PubMed Identifier
21816443
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.
Results Reference
result
PubMed Identifier
31591002
Citation
Authors/Task Force Members; ESC Committee for Practice Guidelines (CPG); ESC National Cardiac Societies. 2019 ESC/EAS guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk. Atherosclerosis. 2019 Nov;290:140-205. doi: 10.1016/j.atherosclerosis.2019.08.014. Epub 2019 Aug 31. No abstract available. Erratum In: Atherosclerosis. 2020 Jan;292:160-162. Atherosclerosis. 2020 Feb;294:80-82.
Results Reference
result
PubMed Identifier
24139973
Citation
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.2013.07.010. Epub 2013 Oct 17.
Results Reference
result
PubMed Identifier
23736858
Citation
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.
Results Reference
result
PubMed Identifier
22018588
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.
Results Reference
result
PubMed Identifier
23173107
Citation
Zen V, Fuchs FD, Wainstein MV, Goncalves 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 angiography. Am J Cardiovasc Dis. 2012;2(4):323-30. Epub 2012 Oct 25.
Results Reference
result
PubMed Identifier
11159775
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.
Results Reference
result
PubMed Identifier
17605096
Citation
Kostis JB. The importance of managing hypertension and dyslipidemia to decrease cardiovascular disease. Cardiovasc Drugs Ther. 2007 Aug;21(4):297-309. doi: 10.1007/s10557-007-6032-4.
Results Reference
result
PubMed Identifier
25603407
Citation
Aoki T, Yagi H, Sumino H, Tsunekawa K, Araki O, Kimura T, Nara M, Ogiwara T, Nakajima K, Murakami M. Relationship between carotid artery intima-media thickness and small dense low-density lipoprotein cholesterol concentrations measured by homogenous assay in Japanese subjects. Clin Chim Acta. 2015 Mar 10;442:110-4. doi: 10.1016/j.cca.2015.01.010. Epub 2015 Jan 17.
Results Reference
result
PubMed Identifier
27511499
Citation
Taylan E, Tuncel EP. Distribution of LDL subgroups in patients with hyperlipidemia. Turk J Med Sci. 2016 Feb 17;46(2):374-80. doi: 10.3906/sag-1410-40.
Results Reference
result
PubMed Identifier
26699442
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, Bays HE, Brown WV, Underberg JA; NLA Expert Panel. National Lipid Association Recommendations for Patient-Centered Management of Dyslipidemia: Part 2. J Clin Lipidol. 2015 Nov-Dec;9(6 Suppl):S1-122.e1. doi: 10.1016/j.jacl.2015.09.002. Epub 2015 Sep 18. Erratum In: J Clin Lipidol. 2016 Jan-Feb;10(1):211. Underberg, James A [added].
Results Reference
result
PubMed Identifier
30044444
Citation
Zhu Z, Wu F, Lu Y, Wang Z, Zang J, Yu H, Guo C, Jia X, Shen X, Ding G. The Association of Dietary Cholesterol and Fatty Acids with Dyslipidemia in Chinese Metropolitan Men and Women. Nutrients. 2018 Jul 25;10(8):961. doi: 10.3390/nu10080961.
Results Reference
result
PubMed Identifier
16740651
Citation
Ensign W, Hill N, Heward CB. Disparate LDL phenotypic classification among 4 different methods assessing LDL particle characteristics. Clin Chem. 2006 Sep;52(9):1722-7. doi: 10.1373/clinchem.2005.059949. Epub 2006 Jun 1.
Results Reference
result
PubMed Identifier
12200749
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 coronary artery disease in subjects with phenotype B. Metabolism. 2002 Sep;51(9):1081-7. doi: 10.1053/meta.2002.34695.
Results Reference
result
PubMed Identifier
28166253
Citation
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.
Results Reference
result
PubMed Identifier
16963151
Citation
Hosaka S, Okada Y, Maruyama K, Maruyama D. Increased intima-media thickness of the carotid artery in Japanese female type 2 diabetic patients with 'midband lipoprotein'. Diabetes Res Clin Pract. 2007 Mar;75(3):333-8. doi: 10.1016/j.diabres.2006.07.032. Epub 2006 Sep 8.
Results Reference
result
PubMed Identifier
23830843
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.2013.06.021. Epub 2013 Jul 2.
Results Reference
result
PubMed Identifier
23584084
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.
Results Reference
result
PubMed Identifier
20089729
Citation
Taylor AE, Ebrahim S, Ben-Shlomo Y, Martin RM, Whincup PH, Yarnell JW, Wannamethee SG, Lawlor DA. Comparison of the associations of body mass index and measures of central adiposity and fat mass with coronary heart disease, diabetes, and all-cause mortality: a study using data from 4 UK cohorts. Am J Clin Nutr. 2010 Mar;91(3):547-56. doi: 10.3945/ajcn.2009.28757. Epub 2010 Jan 20.
Results Reference
result
PubMed Identifier
18580399
Citation
Frimel TN, Sinacore DR, Villareal DT. Exercise attenuates the weight-loss-induced reduction in muscle mass in frail obese older adults. Med Sci Sports Exerc. 2008 Jul;40(7):1213-9. doi: 10.1249/MSS.0b013e31816a85ce.
Results Reference
result
PubMed Identifier
16210719
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. doi: 10.1093/ajcn/82.4.872.
Results Reference
result
PubMed Identifier
21178615
Citation
Yang XP, Reckelhoff JF. Estrogen, hormonal replacement therapy and cardiovascular disease. Curr Opin Nephrol Hypertens. 2011 Mar;20(2):133-8. doi: 10.1097/MNH.0b013e3283431921.
Results Reference
result
PubMed Identifier
23266836
Citation
Pai JK, Manson JE. Acceleration of cardiovascular risk during the late menopausal transition. Menopause. 2013 Jan;20(1):1-2. doi: 10.1097/gme.0b013e318278e9b4. No abstract available.
Results Reference
result
PubMed Identifier
23047015
Citation
Stock EO, Redberg R. Cardiovascular disease in women. Curr Probl Cardiol. 2012 Nov;37(11):450-526. doi: 10.1016/j.cpcardiol.2012.07.001.
Results Reference
result
Links:
URL
http://www.temd.org.tr/admin/uploads/tbl_gruplar/20200930134854-2020tbl_gruplar513182565d.pdf
Description
TEMD Obezite, Dislipidemi, Hipertansiyon Çalışma Grubu' TEMD Dislipidemi Tanı ve Tedavi Kılavuzu', Ankara, Nisan 2019: 13-40 (in Turkish)
URL
https://dosyasb.saglik.gov.tr/Eklenti/10915,tuber-turkiye-beslenme-rehberipdf.pdf
Description
Türkiye Beslenme Rehberi TUBER 2015, T.C. Saglık Bakanlıgı Yayın No: 1031, Ankara 2016.Erisim:[https://dosyasb.saglik.gov.tr/Eklenti/10915,tuberturkiyebeslenme-rehberipdf.pdf], Date of access: 18.10.2018 (in Turkish).
Learn more about this trial
The Effect Of Low-Fat And Low-Cholesterol Dietary Intervention On LDL Sub-Groups In Turkısh Dyslipidemic Patients
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