Unhealthy diets and lack of physical activity increase the risk of poor physical and mental health. Poor lifestyle habits and risk factors may cluster in specific areas leading to health inequity.

There is a need to understand, predict, and ultimately change the physical and social circumstances determining a person’s lifestyle and health habits. Rather than looking at single factors impacting lifestyle habits and health, socio-ecological models help to understand function and behaviour as part of a complex system in which persons interact with their environment.

We aim to identify target groups and communities at risk based on a variety of data sources, and to empower them to co-create community-based support strategies to reach, activate and support their local citizens to improve diet and physical activity habits. Thus, to achieve locally embedded sustainable support and long-term behaviour change.

Relevance

Creating communities with healthier diet and physical activity habits

Active engagement of the citizens in the co-creation of strategies, and the capacity building engaging stakeholders will support citizens in the adoption and maintenance of healthy habits. Efficiently utilizing personal and community resources anchors knowledge and skills in the community, and may lead to locally embedded practices for prolonged support. Comprehensive evaluation of the co-creation process and its outcomes may serve as a base for policy recommendations and actions.

Utilizing a data-driven approach to inform the co-creation process and to evaluate its outcomes ensures highly specific and contextually adapted solutions and may foster translation of findings into policy recommendations and actions. In addition, our multidisciplinary and multisectoral approach will generate new scientific knowledge.

  • Work package 1

    Aims to identify risk profiles functional impairment and disability associated with poor diet and physical activity habits based on population-based data and the living environment. To achieve this, existing population-based cohorts and environmental data will be analyzed separately and/or jointly. The lead partner of this work package is UMCG.

    Work package 2

    Is led by Hanze University of Applied Sciences. It aims to build capacity in communities with clustering of individually based risk profiles or area-based risk indicators. To achieve this, we will involve its citizens in collecting their own data and co-creating innovative solutions to engage hard-to-reach individuals and develop strategies to support or enhance healthy diet and physical activity habits, with support of relevant local stakeholders. 

    Work package 3

    Is led by University of Southern Denmark. It aims to gain better understanding of the pathways of influence and innovative co-created solutions to empower citizens. To achieve this, we will closely monitor the short & mid-term reach and impact on lifestyle associated factors, and evaluate the co-creation process itself for all stakeholders involved in the implementation areas and its communities across the countries. 

    Work package 4

    Is led by Riga Stradins University. It aims to integrate findings from the enriched population-based studies and citizen science-based projects, and thus to create a prototype of a co-created local approach to successfully reach and empower citizens to improve their own diet and physical activity habits. In addition, strategies to effectively communicate and distribute knowledge and products among relevant stakeholders, both locally and at a European level, will be developed. 

  • The UMCG team

    Consists of experts on physical activity, nutrition, and person-environment interactions. The researchers have been setting-up or utilizing large-scale population-based data on health, function and behavior and studies on health and activity monitoring. They are familiar with epidemiological, geospatial, data science and participatory research methods. The study team comprises of consortium P.I. Prof. Dr. Erja Portegijs, postdoctoral researcher Dr. Andreia Abud da Silva Costa, and co-researchers Prof. Dr. Claudine Lamoth (department of Human Movement Sciences) and Dr. Eva Corpeleijn (department of Epidemiology).

    The team at Hanze University of Applied Sciences

    Consists of citizen science experts who have practiced advanced levels of participatory citizen science, including project development, generation of data, interpretation of data, and capacity building. The study team comprises of P.I. Prof. Dr. Johan de Jong, postdoctoral researcher Amy Jeschke, and co-researchers Dr. Berry van Holland, and Dr. Rhoda Schuling.

    P.I. Prof. Dr. Johan de Jong

    The University of Southern Denmark team

    Consists of experts on physical activity, nutrition, and complex interventions. The researchers have been involved in setting up or utilizing large-scale population-based data on health, function, and behavior and studies on health and activity monitoring, and they have engaged in participatory co-creation methods. The study team comprises P.I. Prof. Dr. Paolo Caserotti, doctoral student Daniel L. Dam, co-researcher Assoc. Prof. Dr. Jan C. Brønd (Department of Sports Science and Clinical Biomechanics), and Dr. Nicole E. Blackburn (Faculty of Life & Health Sciences).

    P.I. Prof. Dr. Paolo Caserotti

    The team at Riga Stradins University

    Consists of experts on physical activity, nutrition, health psychology, and person-environment interactions. The researchers have engaged in research utilizing population-based data and activity monitoring, and they executed studies utilizing cocreation methods. The study team comprises of consortium P.I. Dr. Signe Tomsone, postdoctoral researchers Dr. Darja Nesterovica and Dr. Inga Elksne, co-researcher Didzis Rozenbergs (Department of Rehabilitation) and doctoral student Aija Ozola (Department of Health Psychology and Pedagogy).

    P.I. Dr. Signe Tomsone

Timeline

  1. EnRICH-HABITS first annual meeting

    Posted

    Our first annual meeting took place in Groningen, uniting consortium members from the Netherlands, Denmark and Latvia. Researchers form UMCG, Hanze University of Applied Sciences, University of Southern Denmark, and Riga Stradins University presented their plans and achievements so far.

    Johan de Jong’s Post

  2. EnRICH-HABITS starts May 1, 2024

    Posted

    This three-year project received funding from ZonMw, Innovation Fund Denmark, Latvian Council of Science under the umbrella of the Partnership Fostering a European Research Area for Health (ERA4Health) (GA N° 101095426 of the EU Horizon Europe Research and Innovation Programme).