Effect of Weight Loss on Cholesterol Metabolism in Hereditary Hypercholesterolemias and Overweight or Obesity.
NCT ID: NCT01995149
Last Updated: 2013-11-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
78 participants
INTERVENTIONAL
2010-06-30
Brief Summary
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Objective: To explore the effects of weight loss on lipid values and cholesterol metabolism, by measuring circulating non-cholesterol sterols, in overweight or obese subjects with genetic hypercholesterolemias.
Design: The investigators conducted a 6-months weight loss intervention in subjects with the diagnosis of familial hypercholesterolemia (FH) or familial combined hyperlipidemia (FCHL), body mass index \>25 kg/m2, steady weight (±3 kg in the last 3 months) and absence of lipid lowering drugs in the previous 5 weeks. They were advised to follow a hypocaloric diet with a deficit of 600 kcal (30% fat, 15% protein, and 55% carbohydrates) per day as calculated from the person's resting energy expenditure and activity level. Anthropometric data, biochemical analysis including lipids, apolipoproteins and non-cholesterol sterols were evaluated at baseline, 3 months and 6 months.
Detailed Description
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Conditions
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Keywords
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Weight loss and dietary intervention
The weight loss intervention had a total duration of 6 months. Each participant's caloric prescription represented a deficit of 600 kcal per day as calculated from the person's resting energy expenditure and activity level using the Harris-Benedict equation. In general, prescribed energy intake was between 1200 kcal and 1600 kcal/day. Dietary composition consisted on 50-55% of carbohydrates, 15-20% of protein and 30% of fat and included a wide variety of foods typical of a Mediterranean diet. Patients were also provided with recipes and shopping counselling to improve intervention compliance and to achieve the weight loss goal. Individual consultations with a nutritionist were performed twice a month to motivate the weight loss and reinforce the intervention.
Weight loss and dietary intervention
The weight loss intervention had a total duration of 6 months. Each participant's caloric prescription represented a deficit of 600 kcal per day as calculated from the person's resting energy expenditure and activity level using the Harris-Benedict equation. In general, prescribed energy intake was between 1200 kcal and 1600 kcal/day. Dietary composition consisted on 50-55% of carbohydrates, 15-20% of protein and 30% of fat and included a wide variety of foods typical of a Mediterranean diet. Patients were also provided with recipes and shopping counselling to improve intervention compliance and to achieve the weight loss goal. Individual consultations with a nutritionist were performed twice a month to motivate the weight loss and reinforce the intervention.
Interventions
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Weight loss and dietary intervention
The weight loss intervention had a total duration of 6 months. Each participant's caloric prescription represented a deficit of 600 kcal per day as calculated from the person's resting energy expenditure and activity level using the Harris-Benedict equation. In general, prescribed energy intake was between 1200 kcal and 1600 kcal/day. Dietary composition consisted on 50-55% of carbohydrates, 15-20% of protein and 30% of fat and included a wide variety of foods typical of a Mediterranean diet. Patients were also provided with recipes and shopping counselling to improve intervention compliance and to achieve the weight loss goal. Individual consultations with a nutritionist were performed twice a month to motivate the weight loss and reinforce the intervention.
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of Familial Combined Hyperlipidemia\* and Familial Hypercholesterolemia\*\*.
* Body mass index \> 25 kg/m2.
* Steady weight (±3 kg in the last 3 months).
* Absence of lipid lowering drugs including sterols supplements in the previous 5 weeks.
* Familial Combined Hyperlipidemia diagnosis was based on the presence of primary combined hyperlipidaemia in untreated patients whose serum cholesterol and triglyceride concentrations were above the sex- and age-specific 90th percentiles for the Spanish population, serum total apolipoprotein B concentration ≥ 120 mg/dL and there was at least one first-degree relative with hyperlipidemia (total cholesterol and/or triglycerides \>90th percentile) (Gómez-Gerique JA et al; 1999).
* Familial Hypercholesterolemia was diagnosed in subjects with off-treatment LDL cholesterol concentrations above the age- and sex-specific 95th percentile of a Spanish reference population, triglyceride below 200 mg/dL and familial vertical transmission with at least one first-degree relative with LDL cholesterol above age- and sex-specific 95th percentiles (Gómez-Gerique JA et al; 1999).
Exclusion Criteria
* Uncontrolled type-2 diabetes (HbA1c \>8%).
* Any other disease that could interfere with the ability to comply with the study protocol were excluded
* Personal history of cardiovascular disease, very high risk as defined by the presence of ≥ 2 major risk factors, or total cholesterol ≥ 350 mg/dL since lipid-lowering drug were considered highly recommended.
18 Years
ALL
No
Sponsors
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Hospital Clinic of Barcelona
OTHER
Instituto de Salud Carlos III
OTHER_GOV
Instituto Aragones de Ciencias de la Salud
OTHER_GOV
Responsible Party
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Fernando Civeira
Professor
Principal Investigators
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Fernando Civeira, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Unidad de Lípidos/Laboratorio de Investigación Molecular; Hospital Universitario Miguel Servet; Instituto Aragonés de Ciencias de la Salud
References
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Mateo-Gallego R, Perez-Calahorra S, Cofan M, Baila-Rueda L, Cenarro A, Ros E, Puzo J, Civeira F. Serum lipid responses to weight loss differ between overweight adults with familial hypercholesterolemia and those with familial combined hyperlipidemia. J Nutr. 2014 Aug;144(8):1219-26. doi: 10.3945/jn.114.191775. Epub 2014 Jun 4.
Other Identifiers
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I+CS-HUMS-B80
Identifier Type: OTHER
Identifier Source: secondary_id
I+CS;CEICA-B80
Identifier Type: -
Identifier Source: org_study_id