Body Weight Changes, Gene-diet Interactions, Health Status, Overweight and Obesity, Quality of Life
Conditions
Keywords
Gene-diet interactions, Nutritional Intervention, Online Self-assessment Tools, Body Composition, Lifestyle characteristics
Brief summary
Increased body weight leading to the development and the establishment of overweight and obesity, has a growing detrimental effect on overall health status and quality of life. Latest research has been focusing on the direct influence of dietary habits on body weight regulation and its synergistic effect with genetic predisposition. The synergistic effect of genetic makeup and dietary habits constitute a major contributing factor, specifically in its manifestation on parameters of the cardiometabolic profile of individuals with elevated body weight. In this context, the aim of the present study is to investigate the effect of two hypocaloric diets with different macronutrient content (a high-carbohydrate/low-fat and a high-protein one) on the body weight loss of an overweight and/or obese adult, Greek population. Moreover, the study aims to explore gene-diet interactions between obesity and weight loss- related target genes and adherence to the proposed dietary schemes. It will further examine influences of the aforementioned factors on body composition, anthropometric indices, such as waist circumference, biochemical biomarkers related to cardiometabolic control and parameters of lifestyle, such as sleep quality. More specifically, 300 participants will be allocated into two groups, following either the high-carbohydrate/low-fat diet or the high-protein diet, for a duration of 3 months. Volunteers will participate in in-person meetings, at baseline and at three months after the beginning of the intervention. Anthropometric measurements and collection of blood samples will take place in each meeting. Demographic data and data on family and medical history, dietary habits, adherence to the Mediterranean diet, overall health status and physical activity will be collected at baseline. Participants will be provided with nutritional counselling and support both at the beginning and throughout the intervention. Participants will further report their monthly progress by completing online questionnaires (namely concerning their body weight, overall health status, physical activity and sleep quality), via use of an online assessment tool developed by our team. The effect of the intervention will be evaluated using anthropometric indices, body composition markers and biochemical biomarkers of cardiometabolic control, pre- and post- intervention. Gene-diet interactions will be assessed via genotyping of DNA samples and statistical analyses will take place via statistical packages, such as PLINK v.1.9.
Interventions
OTHERNutritional intervention.
Diets designed for body weight loss, based on different macronutrient content.
Sponsors
Harokopio University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
* Men and women of 18 to 65 years of age. * Body Mass Index of over 25kg/m2 (presence of overweight or obesity)
Exclusion criteria
* Pregnancy or lactation. * Unregulated comorbidities (i.e. type 1 or 2 diabetes, cardiovascular disease, gastrointestinal disorders, mental illness, dietary disorders) * Dietary supplements aiming at body weight loss * Parallel participation in a different research study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Body Weight | 3 months | Changes in body weight compared to baseline. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Body fat percentage | 3 months | Changes in body fat percentage compared to baseline. |
| Waist circumference | 3 months | Changes in waist circumference compared to baseline. |
| Visceral fat | 3 months | Changes in visceral fat compared to baseline. |
| Sleep quality | 3 months | Changes in sleep quality characteristics compared to baseline. Assessment will take place via use of validated questionnaire. |
| Overall health status | 3 months | Changes in the overall health status compared to baseline. Assessment will take place via use of validated questionnaire. |
| Biochemical profile | 3 months | Changes in biochemical biomarkers related to metabolic syndrome and cardiovascular disease risk (i.e. total cholesterol, glucose, triglyceride and HDL levels) compared to baseline. |
Countries
Greece
Outcome results
None listed