Community Research and Development Information Service - CORDIS

H2020

DYNAHEALTH Report Summary

Project ID: 633595
Funded under: H2020-EU.3.1.1.

Periodic Reporting for period 1 - DYNAHEALTH (Understanding the dynamic determinants of glucose homeostasis and social capability to promote Healthy and active aging)

Reporting period: 2015-04-01 to 2016-09-30

Summary of the context and overall objectives of the project

DynaHEALTH is a European action to elicit healthy and active ageing through reducing the risks of obesity and type 2 diabetes, and promoting social functioning and workability. This four-year action is coordinated by the Center for Life Course Health Research at the University of Oulu in Finland. and is addressing the specific need for personalised healthcare according to bio-psychosocial risks. DynaHEALTH’s overarching goal is to develop a dynamic life course model characterising the combined pathological effects of glucose metabolism and psychosocial stress which impact on the health and working ability of individuals as they age.
The association between poor psychosocial factors and type 2 diabetes is well established. For example, shift-work, night work, working overtime and a lack of coherence during working life are well known risk factors for type 2 diabetes (T2D). However, we do not understand fully how these factors affect health in the long-term, and when, during the course of one’s life, their effects are most pronounced. DynaHEALTH is testing the hypothesis that the factors and the pathways determining glucose metabolism and insulin sensitivity on one hand, and the neuroendocrine response resulting from exposure to psychosocial stress on the other, and should therefore be incorporated into a single health indicator. To this end, the DynaHEALTH action has developed a new term for this unique indicator; the Gluco-Psychosocial Axis (GPA), to account simultaneously for the biological components of health and the capacity to impact actively upon them. In order to establish a GPA measure, the project will look at social adversity, family demographics, gestational weight gain and obesity, and diseases such as gestational diabetes mellitus (GDM). This approach will provide a better understanding of how these components determine ageing related outcomes, and how they may be modified to ensure healthy and active ageing throughout life.
DynaHEALTH involves 13 partners from Finland, Denmark, Germany, Spain, The Netherlands and the United Kingdom, bringing together expertise, from both academia and industry, in Epidemiology, Epigenetics, Bio-statistics, Clinical Nutrition, Physiology, Health Care, Metabolomics, Genetics, Econometrics, European Policy and Knowledge Management to tackle the challenge. This ambitious action benefits from the input of a number of existing studies harnessing the health, biological and social resource of 1.5 million Europeans, and it will address a big challenge faced by Europe as the population ages, and the prevalence of obesity and type 2 diabetes increases.

DynaHEALTH will contribute to implementing a dynamic model for early GPA risk identification and validation, allowing development of risk-based prevention tools and policies that will help to inform policy makers on the best periods to invest in cost-effective and sustainable healthcare strategies. The project’s objectives include the potential to exploit the results for new technologies and strategies, adding to our understanding of the pathways related to healthy and active ageing, underpinning options for targeted, personalised healthcare and mitigating the effects of sub-optimal GPA on ageing. DynaHEALTH is targeting in particular the bio-psychosocial pathways leading to an impaired glucose tolerance and early onset cognitive decline through ageing. It is using a unique approach to collaborative research using data and resources from ongoing national birth cohorts, large-population/register-based follow-up studies, ageing cohorts and a randomised control trial covering six European countries.

A dedicated team aims to maximise the impact of the DynaHEALTH action to:
• Optimise the health and cognitive function of EU citizens as they age;
• Develop new technologies for targeted disease prevention and the development of clinical interventions;
• Improve evidence-based policy recommendations for strategies to improve healthy and active ageing;
• Benefit the economy across Europe.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

During the first 18 months, DynaHEALTH has:

In WP1:
i) Produced an inventory available resource to ethically analyse data collected from 1.5 million Europeans in eight European Countries (Finland, Denmark, Germany, The Netherlands, Spain, Italy, Poland and Belgium);
ii) Characterised background information to analyse and understand the biological, social and psychological determinant of health in pregnancy, childhood adulthood and the elderly;
iii) Explored the influence of maternal and child stress on growth supporting better understanding in relation to maternal obesity;
iv) Initiated successfully the metabolic and epigenetic fingerprinting of the GPA pathways in early life including the mother to child inheritability of the molecular profiles.

In WP2:
i) Ethically intervened in at risk populations in pregnancy [NigoHEALTH, WOMB, RADIEL] to promote healthy pregnancy and optimal child development;
ii) Followed-up the impact of early intervention during lactation upon the risk of childhood obesity and associated cognitive and social inequality [CHOP and COGNIS];
iii) Examined the long term health and cost benefit of early life intervention for primary prevention of inactive and unhealthy ageing.

In WP3:
i) Characterised the link between child height and weight upon the later risk of T2D;
ii) Established a prospective risk between unemployement and T2D;
iii) Identified a link and some gender specific effect between extreme stress in fetal life and brain and metabolic health in the elderly;
iv) Researched the causal inference between T2D and health and cognitive decline.

In WP4:
i) Qualitatively measured the metabolomic and epigenomic profile design to study the precise pathways to unhealthy ageing;
ii) Modelled the Glyco-psychosocial health and its prospective effect upon glycemic health;
iii) Developed new methodologies and technologies for precision health care;
iv) Harmonised data handling and methods to transfer biostatistical technologies.

In WP5
i) Ethically acquired data to build 3 analytical econometric frameworks;
ii) Identified modifiable risk factors to influence policies for social and health equality.

In WP6
i) Established an Action website, social media profile and communication material;
ii) Developed an agreed communication plan for the Action;
iii) Identified and implemented activities required by the Action to ensure maximum impact.

In WP7: the project management team has empowered the consortium enabling a professional and effective DynaHEALTH partnership, whilst running an efficient project management office.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The information in section 2.1 of the Description of Action regarding how the Action will contribute to the expected impact is still relevant and is anticipated to be realised later in the Action. There will be a review of the Key Exploitable Results during the first exploitation workshop, deliverable D6.10, to be held in March 2017 (M24) which will feed in to deliverable D6.8, the Initial Exploitation Plan.

There have been a number of dissemination activities which have had some impact. These include publication of 13 scientific papers with results directly or partly related to the Action and 36 scientific presentations at conferences, workshops or other events by DynaHEALTH partners. The presentations were all directly or partly related to the Action.

Related information

Record Number: 198163 / Last updated on: 2017-05-17
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