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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03169088
Other study ID # 38RC16.283
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date March 1, 2017
Est. completion date April 1, 2019

Study information

Verified date August 2019
Source University Hospital, Grenoble
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

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)


Description:

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


Recruitment information / eligibility

Status Completed
Enrollment 100
Est. completion date April 1, 2019
Est. primary completion date October 1, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 25 Years to 50 Years
Eligibility Main 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

Main 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

Study Design


Related Conditions & MeSH terms


Intervention

Other:
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

Locations

Country Name City State
France University Hospital Grenoble Grenoble

Sponsors (2)

Lead Sponsor Collaborator
University Hospital, Grenoble University Grenoble Alps

Country where clinical trial is conducted

France, 

References & Publications (8)

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. — View Citation

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. Erratum in: Lancet. 2015 Jun 27;385(9987):2576. — View Citation

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). pii: e002048. doi: 10.1161/JAHA.115.002048. — View Citation

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. — View Citation

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. — View Citation

Hood L, Price ND. Demystifying disease, democratizing health care. Sci Transl Med. 2014 Feb 26;6(225):225ed5. doi: 10.1126/scitranslmed.3008665. — View Citation

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. Review. — View Citation

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. Review. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Alternate Healthy Eating Index-2010 (AHEI-2010) score calculated by Food Frequency Questionnaires 1 year
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