Severe Obesity Clinical Trial
Official title:
Effect of Nutritional Intervention and Olive Oil in Severe Obesity: Randomized Controlled Trial
NCT number | NCT02463435 |
Other study ID # | 747.792 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | June 2015 |
Est. completion date | February 2016 |
Verified date | November 2020 |
Source | Universidade Federal de Goias |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Obesity is a worldwide epidemic with increasing prevalence, specially severe obesity (Body Mass Index (BMI) ≥ 35 kg/m2). It is a multifactorial disease that involves genetic and environmental factors that lead to increased mortality from cardiovascular disease, diabetes, cancer, among others and impairs life quality. Most research on severe obesity focuses on surgical alternatives and their results, thus this clinical trial aims to evaluate the effect of a non-pharmacological approach based on nutritional intervention and supplementation with a functional food, the olive oil. It will analyze the effectiveness of interventions on: weight loss, improvements on body composition and inflammatory profile (TNF-alfa, interleucins 1, 6 and 10, adiponectin), insulin resistance and serum lipids control, changing eating habits and physical activity practice, modification on bone mineral density and sarcopenia, and reduction of cardiovascular risk and other diseases. Also, it will be investigated the influence of polymorphisms (Pro12Ala of PPAR-γ gene, -174G>C of IL6 gene e Trp64Arg of ADRB3 gene) on nutritional intervention effectiveness with and without olive oil. This research looks for improving severely obese patient's care and contributing to effective results by reducing costs and risk treatment. The investigators believe that this informations will contribute significantly to the scientific field, expanding the knowledge about severe obesity.
Status | Completed |
Enrollment | 229 |
Est. completion date | February 2016 |
Est. primary completion date | February 2016 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 65 Years |
Eligibility | Inclusion Criteria: - Body mass index = 35 kg/m2 - Residence in Goiânia or metropolitan area - Patients referred by Secretaria Municipal de Saúde to Severe Obese Nutrition Clinic Exclusion Criteria: - To have already performed bariatric surgery - Pregnancy - Reduction greater than 8% of body weight in the past 3 months - To have been treated at Severe Obesity Nutrition Clinic or have received nutritional counseling in another place in the last 2 years - Anti-obesity drugs use - Regular utilization of anti-inflammatory drugs or corticosteroids - HIV/AIDS, heart failure, kidney failure, hepatic insufficiency, chronic obstructive pulmonary disease and cancer |
Country | Name | City | State |
---|---|---|---|
Brazil | Unidade de Pesquisa Clínica do Hospital das Clínicas/UFG | Goiânia | Goiás |
Lead Sponsor | Collaborator |
---|---|
Universidade Federal de Goias | Fundação de Amparo a Pesquisa do Estado de Goias (FAPEG), Grupo de Estudos em Obesidade Grave (GEOG), Unidade de Pesquisa Clinica (UPC) do Hospital das Clínicas/UFG |
Brazil,
Hill JO, Wyatt HR, Peters JC. Energy balance and obesity. Circulation. 2012 Jul 3;126(1):126-32. doi: 10.1161/CIRCULATIONAHA.111.087213. Review. — View Citation
Horie LM, Gonzalez MC, Torrinhas RS, Cecconello I, Waitzberg DL. New specific equation to estimate resting energy expenditure in severely obese patients. Obesity (Silver Spring). 2011 May;19(5):1090-4. doi: 10.1038/oby.2010.326. Epub 2011 Jan 13. — View Citation
Sposito AC, Caramelli B, Fonseca FA, Bertolami MC, Afiune Neto A, Souza AD, Lottenberg AM, Chacra AP, Faludi AA, Loures-Vale AA, Carvalho AC, Duncan B, Gelonese B, Polanczyk C, Rodrigues Sobrinho CR, Scherr C, Karla C, Armaganijan D, Moriguchi E, Saraiva F, Pichetti G, Xavier HT, Chaves H, Borges JL, Diament J, Guimarães JI, Nicolau JC, dos Santos JE, de Lima JJ, Vieira JL, Novazzi JP, Faria Neto JR, Torres KP, Pinto Lde A, Bricarello L, Bodanese LC, Introcaso L, Malachias MV, Izar MC, Magalhães ME, Schmidt MI, Scartezini M, Nobre M, Foppa M, Forti NA, Berwanger O, Gebara OC, Coelho OR, Maranhão RC, dos Santos Filho RD, Costa RP, Barreto S, Kaiser S, Ihara S, Carvalho Td, Martinez TL, Relvas WG, Salgado W; Sociedade Brasileira de Cardiologia. [IV Brazilian Guideline for Dyslipidemia and Atherosclerosis prevention: Department of Atherosclerosis of Brazilian Society of Cardiology]. Arq Bras Cardiol. 2007 Apr;88 Suppl 1:2-19. Portuguese. — View Citation
Trumbo P, Schlicker S, Yates AA, Poos M; Food and Nutrition Board of the Institute of Medicine, The National Academies. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids. J Am Diet Assoc. 2002 Nov;102(11):1621-30. Erratum in: J Am Diet Assoc. 2003 May;103(5):563. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Anthropometric measurements change | Measurements of weight, arm circumference and Body Mass Index (BMI) will be evaluated to assess anthropometric change. | Baseline, week 12 | |
Primary | Body composition change | Body fat mass (BFM), body fat percentage (%BF) and body mass density (BMD) will be evaluated to assess body composition change. BFM and %BF will be assessed using multifrequency bioelectrical impedance analysis (BIA) and dual energy X-ray absorptiometry (DXA) and BMD will be assessed using DXA. | Baseline, week 12 | |
Secondary | Change in inflammation parameters | TNF-alfa | Baseline, week 12 | |
Secondary | Change in inflammation parameters | Interleucin 6 (IL6), IL1, IL10 | Baseline, week 12 | |
Secondary | Change in inflammation parameters | Adiponectin | Baseline, week 12 | |
Secondary | Change in inflammation parameters | C-reactive protein (CRP) | Baseline, week 12 | |
Secondary | Change in inflammation parameters | Neutrophil to lymphocyte ratio (NLR) and lymphocyte to monocyte ratio (LMR) | Baseline, week 12 | |
Secondary | Change in metabolic parameters | Lipid profile (total cholesterol, LDL-c, HDL-c, VLDL-c), insulin resistance (HOMA-IR, glycated hemoglobin), fasting glycaemia, hemogram | Baseline, week 12 | |
Secondary | Change in kidney function | Creatinine, urea and uric acid | Baseline, week 12 | |
Secondary | Change in liver function | AST and ALT | Baseline, week 12 | |
Secondary | Change in thyroid function | TSH, T4 and parathyroid hormone | Baseline, week 12 | |
Secondary | Change in vitamins | Vitamin D, vitamin B12 and folic acid | Baseline, week 12 | |
Secondary | Change in minerals | Iron, calcium, sodium, potassium and zinc | Baseline, week 12 | |
Secondary | Change in cardiovascular risk using Global Risk Score (GRS) | Baseline, week 12 | ||
Secondary | Change in cardiovascular risk using Framingham Risk Score (FRS) | Baseline, week 12 | ||
Secondary | Change in cardiovascular risk using heart rate variability (HRV) | Baseline, week 12 | ||
Secondary | Change in cardiovascular risk using Homocystein level | Baseline, week 12 | ||
Secondary | Polymorphism Pro12Ala of Peroxisome Proliferator-Activated Receptor Alfa (PPAR-alfa) | Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism | Baseline, week12 | |
Secondary | PolymorphismTrp64Arg of Beta-3 Adrenergic Receptor (ADRB3) gene | Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism | Baseline, week12 | |
Secondary | Polymorphism -174G>C of Interleukin 6 (IL6) gene. | Difference in responses between intervention groups for anthropometric measurements (weight, arm circumference and body mass index) and body composition variables (body fat mass and body fat percentage) according to this polymorphism | Baseline, week12 | |
Secondary | Change in physical activity practice using Global Physical Activity Questionnaire | Baseline, week 12 | ||
Secondary | Change in physical activity practice using accelerometry | Baseline, week 12 | ||
Secondary | Change in food intake using Food Frequency Questionnaire | Baseline, week 12 | ||
Secondary | Change in food intake using 24 hour recall | Baseline, week 12 | ||
Secondary | Change in bone health parameters | Change in the following variables: bone density using DXA, falls and fractures and sun exposure | Baseline, week 12 | |
Secondary | Change in obesity sarcopenia using muscle mass (evaluated using DXA) | Baseline, week 12 | ||
Secondary | Change in obesity sarcopenia using handgrip strength | Baseline, week 12 | ||
Secondary | Change in sarcopenia using usual gait speed | Baseline, week 12 | ||
Secondary | Adherence to nutritional intervention | It will be evaluated through changes in food consumption (food frequency questionnaire) | Baseline, week 12 | |
Secondary | Adherence to the health service | It will be evaluated through attendance to the clinic visits | Baseline, week 12 | |
Secondary | Change in symptoms of anxiety and depression using Hospital Anxiety and Depression Scale | Baseline, week 12 | ||
Secondary | Change in symptoms of binge eating disorderusing Binge Eating Disorder Scale | Baseline, week 12 | ||
Secondary | Change in musculoskeletal pain using Visual Analog Scale | Baseline, week 12 | ||
Secondary | Change in musculoskeletal pain using Nordic Musculoskeletal Questionnaire | Baseline, week 12 |
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