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| Name | Class |
|---|---|
| Fundació Eurecat | OTHER |
| Hospital Universitari Sant Joan de Reus | OTHER |
| University Rovira i Virgili | OTHER |
| Horizon 2020 - European Commission |
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The alteration maintained over time of some metabolic processes, such as oxidative stress, low-grade inflammation, carbohydrate and lipid metabolism, and of the intestinal microbiota activity, can induce some chronic diseases with high prevalence in society, such as obesity, cardiovascular disease or diabetes. These metabolic alterations can be modulated through nutrition and eating habits. Thus nutritional interventions are currently considered as a main tool for disease prevention.
The need to adapt nutritional interventions to the particular needs of each person in order to improve the health status of all individuals is becoming more and more evident, through precision nutrition. On the other hand, for nutritional interventions to be carried out over long periods of time and to achieve sustainable long-term changes in lifestyle, new forms of behavioral counseling are necessary to facilitate the follow-up of nutritional interventions.
PREVENTOMICS is a European project that arose to develop a personalized nutrition system, the PREVENTOMICS system. This system is based on the classification of the users of the system according to the state of their own metabolic processes, their genotype, their dietary habits and preferences, levels of physical activity, purchase preference and possible allergies, in order to provide a personalized nutrition adapted to the needs of each user.
The PREVENTOMICS system is presented through a digital environment via computer, with a list of products provided by the ALDI supermarket to prepare the shopping list, without having to buy the products from the ALDI supermarket.
Nowadays, diet is recognized as one of the most important factors in the development of non-communicable diseases. Therefore, nutrition and dietary habits stand out as an invaluable tool for preventing diseases. Among these dietary habits, Mediterranean diet is now recognized as one of the best models of food patterns providing protection against chronic diseases and with beneficial effects on quality of life.
During the last years, expectation on precision nutrition beyond personalized diet has been increasing due to the possibility of adapting diet to the actual needs of the person, optimizing the function of the organism. Currently, diet precision in the context of general population is mainly addressed to heterogeneous groups of population, depending on variables such as age, gender or physical state among others. Beyond this approach, a more accurate personalization strategy is based on adapting some components of the diet to the genetic profile of the subject while considering a limited number of phenotypical traits.
Some authors have proposed that a wide array of chronic non-communicable diseases of high prevalence in our society have a multifactorial origin, being the result of a sustained dysregulation of some physiological processes, such as metabolic stress, oxidative stress, chronic systemic low-grade inflammation or psychological stress among others. Since most of these processes can be modulated by diet, optimizing them by means of nutritional interventions could represent an invaluable approach for preventing diseases. Nevertheless, a complete characterization of these physiological processes is needed in order to know their real state in individuals and be able to deliver an adequate intervention for their restoration when required. Currently, -omics technologies provide the necessary tools for accurate assessing the state of these physiological processes.
In this context, PREVENTOMICS project financed by the European Research and Innovation programme H2020 (Call H2020-SFS-2018-2020; DT-SFS-14-2018; Project title : Empowering consumers to PREVENT diet-related diseases through OMICS sciences) and with a consortium of different companies and public entities, including EURECAT, aims to assess the most relevant metabolic processes which dysregulation leads to the onset of disease and to integrate individual's metabolic signature with genetic, biological, nutritional and psychological aspects through Information and communication Technologies (ICTs) to deliver preventive personalized nutrition tools in order to correct early deviations.
The main concept behind the PREVENTOMICS project is to provide personalized recommendations based on a multi-level classification after clustering the different users according to their dietary habits and preferences, their levels of physical activity, shopping preferences, possible allergies and phenotypic (i.e. metabolomics and proteomics-based multivariate approach) and genotype characterization.
To achieve the main objective, the PREVENTOMICs project consortium has developed a personalized nutrition strategy based on a recommender system in order to provide personalized nutrition tailored to the actual status of the subject.
To do that, the physiological processes considered in PREVENTOMICS have been selected according to their relevance with health and disease, to nutritional status and, therefore, their ability for being modulated by nutritional interventions.
These processes are:1) oxidative stress; 2) systemic inflammation; 3) carbohydrate metabolism; 4) lipid metabolism; 5) microbiota status through the measurement of microbiota generated metabolites.
In order to define the status of these physiological process, classically accepted biomarkers already used in clinical assessment and intervention studies will be determined, including blood triglycerides, cholesterol, C-reactive protein, glucose or urine isoprostanes among others. Moreover, the recommender system developed in PREVENTOMICS combines these measurements with other biomarkers that have been sufficiently well characterized as surrogates for studying specific metabolic processes.
With the above information, the PREVENTOMICS recommender system also integrates a panel of single nucleotide polymorphisms (SNPs).
Besides, behavioural research shows clearly that the provision of knowledge and advice as a means to help people make changes in their lifestyles does not necessarily result in the desired behavioural change. Therefore, in order to achieve sustainable long-term lifestyle changes, people need to be prompted to behave in new ways that do not rely on their willpower or conscious thinking.
Therefore, the recommender system will anonymously collect data on analyzed biomarkers, habits, mental wellbeing levels, cognitive health, social inclusion and behaviours and will translate this using behavioural change algorithms along with digital delivery into a series of personalised, goal-orientated, friendly, and achievable actions proposed to the user.
Thus, to achieve PREVENTOMICS project objectives, a consortium of 19 partners was created including:
The main outcome of the PREVENTOMICS project has been a novel recommender system that can be used in a wide array of applications or business models. Within the PREVENTOMIC project, three different applications of the system are evaluated:
In PREVENTOMICS project, the UTNS of Eurecat in Reus is focused in personalized shopping experience together with ALDI supermarkets and will conduct the study with clinically healthy adults and using a dedicated ALDI microwebsite to assess application number 3.
The ALDI microsite uses the personalized recommendations generated by the recommender system to provide each user the most appropriate diet-based nutritional and behavioural changes recommendations according to the individual's needs, lifestyle and preferences and personalizing the shopping experience in ALDI's online supermarket.
Importantly, despite the proposed use of such workflow might be demonstration of personalized online shopping, the pilot carried out in Reus does not support trading. Therefore, users will use the ALDI microsite to generate a shopping list navigating through a personalized ALDI catalog, but they are free to shop at any retailer other than ALDI.
The improvement in dietary habits will be based on the Mediterranean diet adherence as a reference, as this diet is recognized as one gold standard.
The hypothesis of the present study is that empowering consumers with tools that adapt nutrition recommendations to individual's metabolic state, lifestyle and food preferences through the utilization of the recommender system developed in PREVENTOMICS, with or without the application of behavioral change programs, will promote favorable and sustained changes in personal dietary behavior and food choices at the supermarket, promoting Mediterranean diet and beneficial effects on the health status of individuals.
The main objective of the present study is to assess the soundness of the personalized nutrition advice generated by the recommender system and its combination with a behavioral change intervention, to improve dietary habits of individuals compared to standard and generic nutritional advice, measured through adherence to the Mediterranean diet and delivered through a retailer website (ALDI microsite).
The secondary objectives are to evaluate the effects of using the personalized nutrition advice provided by PREVENTOMICS through a retailer website on:
After the selection visit (V0), on the first visit (V1), the 180 participants will provide urine, stool and saliva samples and will fill different questionnaires (quality of life, behavior, frequency of food consumption and physical activity) with the help of nutritionists. Additionally, participants will be randomly divided into three groups of 60 participants as they receive: 1) personalized nutritional advice; 2) personalized nutritional and behavior change advice; or 3) general non-personalized nutritional advice. With the samples provided in the first visit, a complete analysis of the metabolic and genetic status of each participant will be carried out, which will be used for, approximately after a month, the participant begins to use the digital environment to generate their shopping list. Users will follow the nutritional advice that corresponds to them according to the assigned group and through the PREVENTOMICS system for 4 months. After 4 months, participants will make the last study visit (V2) where they will repeat the same process described for the first visit to assess the effects of the intervention.
During the study, 3 visits will be carried out:
Monthly, except for the last month of the study, the participant will be followed up by phone call. In the last one, there will be a face-to-face follow-up visit to give the volunteers the materials for collecting biological samples and the three-day dietary record for the V2 visit. In addition, the participants will have personalized support by phone and via email for any questions or problems that may arise during the study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Personalized nutrition group | Experimental | Intervention group that will receive personalized nutrition advice through the ALDI's catalogue during four months. |
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| Personalized Plan group | Experimental | Intervention group that will receive personalized nutrition advice through the ALDI's catalogue and behavioural change program during four months. |
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| Control group | Placebo Comparator | General recommendations but not personalization nor behavioural change advice will be implemented during four months. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Personalized nutrition group | Other | A digital environment which combines biological information, personal habits and preference to provide nutritional recommendations. This digital environment is composed by the follow softwares:1. The recommender system: software that combine the behavioral and biological information about the volunteer and generates personalized nutritional recommendations; 2. The ALDI microsite: A microsite that retrieves the personalized recommendations for the volunteer from the recommender system. The ALDI microsite matches food categories with products of the ALDI catalogue. As a result, the volunteer receives a list of products classified under different food categories that are recommended for him/her. Next to each food category, the number of servings recommended (weekly or daily) is also shown. The ALDI microsite is a tool only to elaborate a shopping list through personalized recommendations. Therefore, volunteers can choose to buy their food shopping list at wherever store other from ALDI. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Adherence to Mediterranean diet. | Adherence to Mediterranean diet measured through the MEditerranean Diet Adherence Screener (MEDAS). The questionnaire consists of 14 questions about eating habits, the frequency of consumption of typical foods of the Mediterranean diet or the consumption of foods not recommended in this diet. Each question is screened with 0 (non-compliant) or 1 (compliant) and the total score range from 0 to 14, so a score of 14 points mean maximum adherence. | At weeks 2 and 25. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in body weight. | Body weight measured by TANITA SC330. | At weeks 2 and 25 |
| Height. | Height measured by standardized methods. | At weeks 2 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Josep M Del Bas, PhD | UTNS (Eurecat_Reus) | Principal Investigator |
| Josep M Del Bas, PhD | UTNS (Eurecat_Reus) | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centro Tecnológico de Nutrición y Salud (Eurecat-Reus) | Reus | Tarragona | 43204 | Spain |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38960570 | Derived | Calderon-Perez L, Escote X, Companys J, Alcaide-Hidalgo JM, Bosch M, Rabassa M, Crescenti A, Valls RM, Pedret A, Sola R, Marine R, Gil-Cardoso K, Rodriguez MA, Palacios H, Del Pino A, Guirro M, Canela N, Sunol D, Galofre M, Galmes S, Palou-March A, Serra F, Caimari A, Gutierrez B, Del Bas JM. A single-blinded, randomized, parallel intervention to evaluate genetics and omics-based personalized nutrition in general population via an e-commerce tool: The PREVENTOMICS e-commerce study. Am J Clin Nutr. 2024 Jul;120(1):129-144. doi: 10.1016/j.ajcnut.2024.04.004. Epub 2024 May 23. |
| Label | URL |
|---|---|
| Technological Centre of Nutrition and Health. Eurecat\_Reus. | View source |
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The data sharing plans for the current study are unknown and will be made available at a later date
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| ID | Term |
|---|---|
| D005247 | Feeding Behavior |
| ID | Term |
|---|---|
| D001522 | Behavior, Animal |
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D035061 | Control Groups |
| ID | Term |
|---|---|
| D015340 | Epidemiologic Research Design |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D012107 | Research Design |
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| OTHER |
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| Personalized Plan group | Other | Participants will use the same software described in for the Personalized nutrition group together with a behavioral change program designed to increase the adherence to the recommendations provided by the ALDI microsite by promoting a proper attitude by means of a series of personalized, goal-orientated, friendly, achievable actions delivered periodically to the volunteer. The behavioral change program will be fed with the results of behavior questionnaires. The personalized messages will be delivered through the ALDI microsite. These personalized messages will be available only for those subjects engaged in the Personalized Plan group. |
|
| Control group | Other | The participants in the control group will not have personalized recommendations. These participants will have access to a restricted version of the ALDI microsite where the list of recommended products correspond to categories that are general recommendations according to Mediterranean diet. |
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| Change in BMI | Weight and Height will be combined to report BMI in kg/m^2. | At weeks 2 and 25 |
| Change in waist circumference. | Waist circumference using a measuring tape. | At weeks 2 and 25 |
| Change in blood pressure (in mmHg). | Systolic and systolic blood pressure will be measured twice after 2-5 minutes of patient respite, seated, with one-minute interval in between, using an automatic sphygmomanometer (OMRON HEM-907; Peroxfarma, Barcelona, Spain). | At weeks 2 and 25 |
| Change in urinalysis. | Urine urinalysis will be measured by standardized methods in Cobas Mira Plus autoanalyzer .(Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in blood cell count. | Blood cell count will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum creatinine levels. | Serum creatinine levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum urea levels. | Serum urea levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum uric acid levels. | Serum uric acid levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum bilirubin levels. | Serum bilirubin levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum ions levels. | Serum ions levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum proteins levels. | Serum proteins levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum aspartate aminotransferase levels. | Serum aspartate aminotransferase levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in serum alanine aminotransferase levels. | Serum alanine aminotransferase levels will be measured by standardized methods in Cobas Mira Plus autoanalyzer (Roche Diagnostics Systems, Madrid, Spain). | At weeks 2 and 25 |
| Change in plasma IL-6 levels. | Plasma IL-6 levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma TNFα levels. | Plasma TNFα levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma MCP-1 levels. | Plasma MCP-1 levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma IL-8 levels. | Plasma IL-8 levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma soluble ICAM1 levels. | Plasma soluble ICAM1 levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma soluble CD14 levels. | Plasma soluble CD14 levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in urine N-acetylglycoproteins levels. | Urine N-acetylglycoproteins levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine fucose levels. | Urine fucose levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum total PUFAs levels. | Serum total PUFAs levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum ARA and EPA levels. | Serum ARA and EPA levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum DHA levels. | Serum DHA levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum linoleic acid levels. | Serum linoleic acid levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in plasma lysophosphatidylcholine levels. | Plasma lysophosphatidylcholine levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum acetate levels. | Serum acetate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine acetate levels. | Urine acetate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum lactate levels. | Serum lactate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine lactate levels. | Urine lactate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine TMAO levels. | Urine TMAO levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine TMA levels. | Urine TMA levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine DMA levels. | Urine TMA levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in plasma LPS levels. | Plasma LPS levels will be measured using gas chromatography mass spectrometry. | At weeks 2 and 25 |
| Change in plasma glucose levels | Plasma glucose levels will be measured by enzymatic methods. | At weeks 2 and 25 |
| Change in plasma insulin levels | Plasma insulin levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma leptin levels | Plasma leptin levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma adiponectin levels | Plasma adiponectin levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in urine α-hydroxybutyrate levels | Urine α-hydroxybutyrate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine α-ketoglutarate levels | Urine α-ketoglutarate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine fumarate levels | Urine fumarate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine succinate levels | Urine succinate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine malate levels | Urine malate levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in plasma acylcarnitine profile levels | Plasma acylcarnitine profile levels will be measured by liquid chromatography mass spectrometry. | At weeks 2 and 25 |
| Change in HOMA-IR levels | HOMA-IR will be measured based on fasting blood levels of glucose an insulin. | At weeks 2 and 25 |
| Change in leptin to adiponectin ratio | Leptin to adiponectin ratio will be calculated using blood levels of leptin ad adiponectin. | At weeks 2 and 25 |
| Change in plasma total cholesterol levels | Plasma total cholesterol levels will be measured by enzymatic methods. | At weeks 2 and 25 |
| Change in plasma HDL-cholesterol levels | Plasma HDL-cholesterol levels will be measured by enzymatic methods. | At weeks 2 and 25 |
| Change in plasma non-HDL-cholesterol levels | Plasma non-HDL-cholesterol levels will be measured by enzymatic methods. | At weeks 2 and 25 |
| Change in plasma triglycerides levels | Plasma triglycerides levels will be measured by enzymatic methods. | At weeks 2 and 25 |
| Change in plasma LDL-cholesterol levels | Plasma LDL-cholesterol levels will be measured using the Friedwald formula. | At weeks 2 and 25 |
| Change in the atherogenic index of plasma | The atherogenic index of plasma will be calculated as log(TG/HDL-cholesterol). | At weeks 2 and 25 |
| Change in serum total MUFAs levels | Serum total MUFAs levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in serum oleic acid levels | Serum oleic acid levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in plasma total lysophosphatidylcholine levels | Plasma total lysophosphatidylcholine levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Change in urine 8-hydroxy-2'-deoxyguanosine levels | Urine 8-hydroxy-2'-deoxyguanosine levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in urine 8-iso-prostaglandin F2α levels | Urine 8-iso-prostaglandin F2α levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in plasma 3-Nitrotyrosine levels | Plasma 3-Nitrotyrosine levels will be measured by human ELISA kits. | At weeks 2 and 25 |
| Change in urine Pseudouridine levels | Urine Pseudouridine levels will be measured using proton nuclear magnetic resonance. | At weeks 2 and 25 |
| Metabolomics for consumption biomarkers | The main biomarkers of food consumption will be measured using High Resolution Liquid chromatography- tandem Mass Spectrometry (HR-LC-MS/MS) in urine. | At weeks 2 and 25 |
| Genotyping analysis | The main Single Nucleotide Polymorphisms (SNPs) related to nutrition associated disorders will be measured using oral smear and by Open Array Technology. | At week 2 |
| Change in nutrition habits | Nutritional habits and daily intake will be measured using the servings per day, week or month of the different food groups that make up the Preventomics food frequency questionnaire, an adapted food questionnaire from The European Prospective Investigation into Cancer and Nutrition (EPIC) study. | At weeks 2 and 25 |
| Change in physical activity | Physical activity will be evaluated through the International Physical Activity Questionnaire (IPAQ)-short for physical activity questionnaire. The questionnaire asks about three specific types of activity (walking, moderate-intensity activities and vigorous intensity activities) in the set domains leisure time, domestic and gardening (yard) activities, work-related and transport-related activities. Frequency and duration are collected separately for each specific type of activity. Both, categorical and continuous indicators will be measured. | At weeks 2 and 25 |
| Change in satisfaction with weight-management diets. | Quality of life will be estimated through Diet Satisfaction questionnaire (DSat-28). The questionnaire consists of 28 questions with a five point level scale with higher scores indicating greater satisfaction. | At weeks 2 and 25 |
| Change in person's perceptions in life related to mobility, self-care, usual activities, paint/discomfort and anxiety/depression. | Quality of life will be estimated through Euro Qol 5 Dimension (EQ-5D) questionnaire. The questionnaire consist of 28 questions with a five point scale with1 indicating the best health status and 5 indicating the worst health status, plus a visual analog score to report the perceived health status with a grade ranging from 0 (the worst possible health status) to 100 (the best possible health status). | At weeks 2 and 25 |
| Change in person's global perception in life related to being overweight and trying to lose weight. | Quality of life will be estimated through Obesity and Weight-Loss Quality of Life instrument (OWLQOL). The questionnaire consists of 17 statements with a six point scale, with 1 indicating the best quality of life and 6 indicating the worst quality of life. | At weeks 2 and 25 |
| Change in hip circumference | Hip circumference will be measured using a measuring tape | At weeks 2 and 25 |
| Change in body composition | Body fat mass and body lean mass (in € and in kg) will be measured using Tanita Body Composition Analyzer. | At weeks 2 and 25 |
| Change in dietary intake | Dietary intake will be measured using 3-day dietary record. | At weeks 2 and 25 |
| D008722 | Methods |