Obesity Clinical Trial
— DFCPOfficial title:
Impact of Dietary Fibre and Chromium Picolinate on Satiety, Satiation, Weight Loss and Gut Microbiome Composition in Overweight and Obese Women
| Verified date | January 2020 |
| Source | University of Roehampton |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Obesity is one of the greatest causes of preventable morbidity and mortality worldwide with the main treatments requiring significant changes to lifestyle, particularly dieting and physical exercise. Glucomannan is a dietary fibre that expands in the stomach, creating the feeling of fulness, while chromium can regulate insulin response.
| Status | Completed |
| Enrollment | 12 |
| Est. completion date | September 30, 2018 |
| Est. primary completion date | August 30, 2018 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | Female |
| Age group | 22 Years to 70 Years |
| Eligibility |
Inclusion Criteria: - healthy female - aged 18-65 years - with a BMI between 25 and 35 kg/m2 - not dieting within the previous four months - not having lost > 5% body weight in the previous year - not having increased physical activity levels in the past 2-4 weeks - intending to modify them during the study - able to eat most everyday foods Exclusion Criteria: - BMI < 25 kg/m2 - > 35 kg/m2 - significant health problems - taking any medication or supplements known to affect appetite - weight within the past month and/or during the study - pregnant, planning to become pregnant or breastfeeding - history of anaphylaxis to food - known allergies or intolerance to foods and/or to the study materials or any of their stated ingredients. - Volunteers who were on specific food avoidance diets - with abnormal eating behaviour - receiving systemic or local treatment likely to interfere with the evaluation of the study parameters - smokers and those who have recently ceased smoking - Volunteers who work in appetite or feeding related areas volunteers who participated in another experimental study or receipt of |
| Country | Name | City | State |
|---|---|---|---|
| United Kingdom | Health Sciences Research Centre, Life Sciences Department, University of Roehampton | London | UK |
| Lead Sponsor | Collaborator |
|---|---|
| University of Roehampton |
United Kingdom,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Weight loss changes from the baseline to 4 weeks intervention | The body mass was measured to the nearest 0.1 kg using a digital balance scale (Seca 707, Seca Corporation, Hamburg, Germany) | To test, in humans, changes in body weight from the baseline to 4 weeks intervention | |
| Primary | Body mass index changes from the baseline to 4 weeks intervention | Body mass index was determined as weight divided by height squared (kg/m^2) | To test, in humans, changes in body mass index (calculated in Kg/m^2) from the baseline to 4 weeks intervention | |
| Primary | Blood pressure changes from the baseline to 4 weeks intervention | Blood pressure was measured using a digital blood pressure monitor (Nissei, model DS-1902, Japan Precision Instruments, Inc., Gunma, Japan). | To test, in humans, changes in blood pressure (calculated in mm/Hg) from the baseline to 4 weeks intervention | |
| Primary | Body composition changes from baseline to 4 weeks intervention | Body fat percentage was assessed after a 12-hour water-only fast by bioelectrical impedance analysis (BIA) method, using a Tanita BC-418 MA Segmental Body Composition Analyser, which incorporates eight tactile electrodes (Tanita Corporation, Tokyo, Japan). | To test, in humans, changes in body fat percentage (calculated in %) from the baseline to 4 weeks intervention | |
| Primary | Waist circumference changes from baseline to 4 weeks intervention | Waist was assessed using anthropometric tape (Seca 201, Hamburg, Germany) over light clothing to the nearest 0.1 centimetre while the subjects were in the standing position at the end of gentle expiration. The waist circumference was measured at the mid-point between the lowest rib margin and anterior superior iliac crest and hip circumference was measured at the maximum protuberance of the buttocks, and the waist-to-hip ratio was calculated by dividing waist circumference by hip circumference. | To test, in humans, changes in waist circumference (calculated in cm) from the baseline to 4 weeks intervention | |
| Primary | Resting metabolic rate changes from baseline to 4 weeks intervention | Resting metabolic rate (RMR) before and at the end of the 4-week intervention was determined by indirect calorimetry using the breath-by-breath system of recording (Cortex MetaLyzer 3B device). | To test, in humans, changes in resting metabolic rate (calculated Kcal) from the baseline to 4 weeks intervention | |
| Secondary | DNA Gut microbiome diversity changes from baseline to 4 weeks intervention | Sequencing was performed on an Illumina MiSeq desktop sequencer using the MiSeq Reagent Kit V2 (Illumina, San Diego). The significance in the abundance of the relevant taxa were validated by Wilcoxon signed-rank tests (16s rRNA sequencing using Illumina MiSeq Platform and QIIME data analysis software). | To test, in humans, changes in the faecal microbiota composition and microbial activity of the volunteers using DNA profiling in faeces from the baseline to 4 weeks | |
| Secondary | Hunger, mood and cravings changes from baseline to 4 weeks intervention | Changes in hunger, mood and craving was determined via Control of Eating Questionnaire (CoEQ) comprised of twenty items to assess the intensity and type of food cravings each participant experienced over the previous 7 days, as well as subjective sensations of appetite and mood. Responses were recorded using the visual analogue scale. | To test, in humans, changes in hunger, mood and cravings (questionnaire based analysis) from the baseline to 4 weeks intervention |
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