Malnutrition or Risk of Malnutrition, Overweight and Obese Adults
Conditions
Keywords
Overweight, Obesity, Malnutrition
Brief summary
More than half of the Dutch population is overweight or obese, which is associated with an increased risk of COVID-19 and worse outcomes during a COVID-19 infection. In addition, malnutrition and loss of muscle mass are often reported with COVID-19, as well as with cancer and other diseases. Malnutrition and overweight or obesity can coexist, even within the same individual. It is still unclear which mechanisms contribute to the worse outcomes of COVID-19 and other diseases in case of overweight, malnutrition, and a combination of both. The aim of this study is to identify which parameters are associated with worse disease outcomes through literature research and database research (COVID-19 and cancer, more than 150.000 participants). In addition, a clinical study will be conducted aiming to develop a simple screening tool for the recognition of the coexistence of malnutrition and overweight or obesity in clinical practice.
Detailed description
Overweight and malnutrition are both common and have a significant societal impact as well as a negative effect on healthcare. They can also coexist, and may potentially reinforce each other. How the combination of both influences the course of COVID-19 and other diseases is still largely unknown. There is no simple set of parameters yet available to screen for the simultaneous occurrence of overweight and malnutrition. This project has the following objectives: * To evaluate the nutritional status (malnutrition, overweight, and the combination of both) and the (dietary) treatment of patients with COVID-19 in primary care (WP1). * To assess the influence of various parameters of malnutrition and overweight and their effects on the outcomes of COVID-19 and cancer based on literature and data from existing Dutch cohorts (WP2 and WP3). Based on this, to develop a screening tool for malnutrition in overweight; (WP4). \- Dissemination of the results (WP5).
Interventions
None listed
Sponsors
Amsterdam University of Applied Sciences
National Institute for Public Health and the Environment (RIVM)
Erasmus Medical Center
Wageningen University and Research
Gelderse Vallei Hospital
Amsterdam UMC, location VUmc
Amsterdam UMC, location AMC
HAN University of Applied Sciences
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Age 18 years or older * Overweight (BMI of 25 kg/m² or higher)
Exclusion criteria
* Physically or mentally unable to participate. * Severe cognitive disorder or severe emotional instability, as assessed by the attending nurse or physician. * Insufficient proficiency in the Dutch language to express themselves properly and no interpreter or assistant to help. * Patient resides in a nursing or care home.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Malnutrition | 9 months | Malnutrition will be assessed by a working definition based on the GLIM-criteria and a Delphi-study |
Countries
Netherlands
Contacts
Primary ContactMarian A de van der Schueren, PhD
Outcome results
None listed