"Cook to Health Study 2 ": Monitoring Wellbeing and Health in the Community (Main Study)

NCT ID: NCT03169088

Last Updated: 2019-08-09

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

100 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-03-01

Study Completion Date

2019-04-01

Brief Summary

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Unhealthy lifestyles are major factors contributing to chronic conditions that impose a huge financial burden in EU healthcare systems. Unfortunately, the communication of Public Health failed to influence consumer to change their habits.

In this study, the aim is to evaluate the impact of a regular monitoring during 1 year on wellbeing and dietary habits in healthy volunteers.

This study follows the pilot study "cook to health" and is intended to confirm the results obtained by the tools used in C2H, in a larger population (25-50 years)

Detailed Description

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Today, medicine mainly curative and reactive is primarily interested in sick people. Now, with our aging Western populations, we face a strong increase in chronic diseases incidence / prevalence that have a financial cost that becomes unbearable. Society's resources are being drained by the rising costs of disease management and of incremental improvements to our existing health care system. Immediate action is required to reverse these trends. The paradigm shift would be to move from a reactive to a proactive medicine that promote healthy life style to decrease incidence of chronic conditions through P4 Medecine that is Preventive, Participative, Predicitive and Personnalized.

However, unhealthy lifestyles are major factors contributing to chronic conditions that impose a huge financial burden in EU healthcare systems. Insufficient physical activity, poor diet and obesity are significant risk factors for cancers, cardiovascular, chest, metabolic disorders and leading causes of morbidity and premature mortality. Clinically studies indicate that different conditions can be prevented and sometimes reversed through adaptation of healthy habits. But the communication of Public Health failed to influence consumer to change their habits. Hence, it is recognized as a gold standard that better nutrition and better health will reduce the risk of chronic diseases such as obesity and cardiovascular diseases, which impact heavily on health spending. A report by the French National Assembly estimated the cost of obesity for the health insurance, if we add the daily allowances of sick care costs, between 2 and 6 € billion / year (until 4.6% of current health expenditure). As recently summarized by Caroline K. Kramer I 2015 moderate weight loss is related to favorable clinical outcomes. A weight loss of 7% (modification of lifestyle) reduced diabetes progression (-58%). The data collected addressed to health professionals will also enable better guide diagnostics and more efficient care strategies. Unfortunately free-living individuals are often poor at judging the healthiness of their own diet (choice of meal constituents, cooking methods, and portion sizes pattern of eating). Moreover, there is a lack of awareness of the contextual features influencing eating behavior and even where there is motivation to change, people have difficulty translating good intentions into healthy behaviors. Hence, their day-to-day constraints (lack of time, lack of knowledge, constraining family and cultural habits, personal tastes) make it difficult for them to comply and adopt the nationally recommended healthy lifestyles.

In this study, the volunteers will be followed during one year.

The wellbeing will be followed with :

* survey like FFQ, IPAQ, SF36, dietary habits.
* actimetry measurement
* one year follow-up of weight, waist measurement
* nutritional biomarkers

Conditions

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Healthy

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

monocentric study
Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Coaching procedure

Volunteers will received Updated National Dietary Guidelines about food and physical activity with a one-year follow-up, plus connected coaching.

Group Type EXPERIMENTAL

Coaching procedure

Intervention Type OTHER

In this study, the volunteers will be followed during one year.

The wellbeing will be followed with :

* survey like FFQ, IPAQ, SF36, dietary habits.
* actimetry measurement
* one year follow-up of weight, waist measurement
* nutritional biomarkers

Interventions

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Coaching procedure

In this study, the volunteers will be followed during one year.

The wellbeing will be followed with :

* survey like FFQ, IPAQ, SF36, dietary habits.
* actimetry measurement
* one year follow-up of weight, waist measurement
* nutritional biomarkers

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 25 y ≤ Age ≤50 y
* Live in a family and be the main person who prepares meals
* Be able to use the personal health monitoring devices;
* Consenting adults based in Grenoble area France
* have a valid Internet connection with access from home;
* Be legally able to give consent.
* Person affiliated to social security

Exclusion Criteria

* Be under chronic use of medications; (except contraception or chronic treatment for headache)
* Vital prognosis engaged within 12 months;
* Recent surgical intervention or hospitalization (\< 6 months)
* Being unable to understand, follow objectives and methods due to cognition or language problems;
* Be likely to move away from the geographic inclusion zone (mainland France);
* Be unavailable (e.g. work commitment abroad) for the two months following inclusion;
* Pregnant women, feeding and parturient
* Playing sports at a high level (more than 7h/week our 1h/day)
* Subject under administrative or judicial control, person who are protected under the act.
* Daily alcohol consumption \>20g for women and \> 30g for men
Minimum Eligible Age

25 Years

Maximum Eligible Age

50 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University Grenoble Alps

OTHER

Sponsor Role collaborator

University Hospital, Grenoble

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Christophe PISON, Pr

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Grenoble

Locations

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University Hospital Grenoble

Grenoble, , France

Site Status

Countries

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France

References

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Hood L, Auffray C. Participatory medicine: a driving force for revolutionizing healthcare. Genome Med. 2013 Dec 23;5(12):110. doi: 10.1186/gm514. eCollection 2013. No abstract available.

Reference Type BACKGROUND
PMID: 24360023 (View on PubMed)

Hood L, Flores M. A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory. N Biotechnol. 2012 Sep 15;29(6):613-24. doi: 10.1016/j.nbt.2012.03.004. Epub 2012 Mar 18.

Reference Type BACKGROUND
PMID: 22450380 (View on PubMed)

Hood L, Price ND. Demystifying disease, democratizing health care. Sci Transl Med. 2014 Feb 26;6(225):225ed5. doi: 10.1126/scitranslmed.3008665. No abstract available.

Reference Type BACKGROUND
PMID: 24574336 (View on PubMed)

Dzau VJ, Ginsburg GS, Van Nuys K, Agus D, Goldman D. Aligning incentives to fulfil the promise of personalised medicine. Lancet. 2015 May 23;385(9982):2118-9. doi: 10.1016/S0140-6736(15)60722-X. Epub 2015 May 6. No abstract available.

Reference Type BACKGROUND
PMID: 25957453 (View on PubMed)

Kramer CK. Weight loss is a useful therapeutic objective. Can J Cardiol. 2015 Feb;31(2):211-5. doi: 10.1016/j.cjca.2014.08.003. Epub 2014 Aug 14.

Reference Type BACKGROUND
PMID: 25661556 (View on PubMed)

Scalbert A, Brennan L, Manach C, Andres-Lacueva C, Dragsted LO, Draper J, Rappaport SM, van der Hooft JJ, Wishart DS. The food metabolome: a window over dietary exposure. Am J Clin Nutr. 2014 Jun;99(6):1286-308. doi: 10.3945/ajcn.113.076133. Epub 2014 Apr 23.

Reference Type BACKGROUND
PMID: 24760973 (View on PubMed)

Chiuve SE, Fung TT, Rimm EB, Hu FB, McCullough ML, Wang M, Stampfer MJ, Willett WC. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr. 2012 Jun;142(6):1009-18. doi: 10.3945/jn.111.157222. Epub 2012 Apr 18.

Reference Type BACKGROUND
PMID: 22513989 (View on PubMed)

Gooding HC, Shay CM, Ning H, Gillman MW, Chiuve SE, Reis JP, Allen NB, Lloyd-Jones DM. Optimal Lifestyle Components in Young Adulthood Are Associated With Maintaining the Ideal Cardiovascular Health Profile Into Middle Age. J Am Heart Assoc. 2015 Oct 29;4(11):e002048. doi: 10.1161/JAHA.115.002048.

Reference Type BACKGROUND
PMID: 26514160 (View on PubMed)

Castellano-Escuder P, Gonzalez-Dominguez R, Vaillant MF, Casas-Agustench P, Hidalgo-Liberona N, Estanyol-Torres N, Wilson T, Beckmann M, Lloyd AJ, Oberli M, Moinard C, Pison C, Borel JC, Joyeux-Faure M, Sicard M, Artemova S, Terrisse H, Dancer P, Draper J, Sanchez-Pla A, Andres-Lacueva C. Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study. Front Nutr. 2022 Jun 9;9:880770. doi: 10.3389/fnut.2022.880770. eCollection 2022.

Reference Type DERIVED
PMID: 35757242 (View on PubMed)

Other Identifiers

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38RC16.283

Identifier Type: -

Identifier Source: org_study_id

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