ObesityMOSAICNCT06960434
Mapping Obesity-related Subtypes And Interconnected Clusters
An observational study of Obesity and Overweight (BMI > 25), run by Zuyd University of Applied Sciences.
Trial summary
In the Netherlands, about half of all adults are currently living with overweight. This number is expected to rise to as much as 64% by the year 2050, especially among younger adults aged 18 to 44. Overweight and obesity increase the risk of chronic conditions such as heart disease, diabetes, and joint problems. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Obesity, Overweight (BMI > 25)
- How many people
- 15 participants
- Where
- No sites listed yet
- Study dates
- 1 May 2025to 1 Sep 2025
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: The study population consists of expert researchers and professionals from diverse domains including obesity research, medical and psychosocial health, lifestyle behavior, and environmental health sciences. Participants are selected using purposive sampling within the professional networks of the research team, followed by snowball sampling to include additional relevant experts. All participants have demonstrable expertise in interpreting data related to BMI or related influencing factors, and are capable of contributing to the interpretation of complex variable clusters from an interdisciplinary perspective.
Who may be able to join
- researchers or professionals with expertise in obesity, lifestyle, environment, psychosocial or medical factors;
- experience in data interpretation and/or public health;
- able to communicate in Dutch;
- willing to participate in the online survey and/or expert panel meeting
Who cannot join
- no relevant domain expertise;
- inability to give informed consent
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: Systemic Interpretation of Personal and Environmental Characteristics in Overweight and Obesity: From Data Patterns to Practical Interventions
In the Netherlands, about half of all adults are currently living with overweight. This number is expected to rise to as much as 64% by the year 2050, especially among younger adults aged 18 to 44. Overweight and obesity increase the risk of chronic conditions such as heart disease, diabetes, and joint problems. However, there is no single cause behind these issues. Instead, they result from a complex combination of factors - including nutrition, physical activity, sleep, stress, income, environment, and even air quality. These factors often influence each other and vary from person to person.
This study aims to better understand these patterns and connections. By analyzing large sets of data, researchers are identifying different subtypes of people with overweight or obesity. These subtypes reflect groups of individuals who share similar personal, lifestyle, and environmental characteristics. Understanding these differences makes it possible to develop more personalized lifestyle advice and support. That way, care and prevention efforts can be better tailored to what people actually need and what works best for them in practice. Experts from various fields are helping interpret the results, so that scientific insights can be translated into practical solutions for individuals, communities, and healthcare settings.
Read the detailed description
Overweight and obesity are increasingly prevalent in the Netherlands. Obesity-related health issues are complex and influenced by multiple interacting variables, including personal behaviors, socioeconomic status, environmental characteristics, and health conditions. This study seeks to validate and enrich the results of an ongoing exploratory data analysis by involving experts in the interpretation of identified factor clusters related to BMI categories.
This mixed methods study includes a quantitative component (an online survey) and a qualitative component (expert panel group discussions). Experts are recruited through purposive and snowball sampling and participate in interpreting variable clusters, assessing associations, and drawing conclusions on implications for further research and practical application.
- Conditions
- Obesity, Overweight (BMI > 25)
- Keywords
- overweight, obesity, prevention, lifestyle, data-driven, clusters
- Medical subject headings
- Obesity, Overweight
What is being measured
The primary outcome is the main question the study is designed to answer.
Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters.
A self-developed questionnaire will be used to investigate and describe expert opinions on (1) the perceived relationsships between specific factors and BMI and (2) the expert assessment regarding data-clusters within BMI categories that has been identified in a previous study. First, the experts are invited to respond to the following question "Do you recognise a relationship between these characteristics and BMI?" on a 3-point likert scale: (1) No, I see absolutely nog relationship. (2) Yes, there may be a relationship, (3) Ik do not know. There will be space for a note. Second, identified data-clusters will be described. The experts are invited to give a brief interpretation of these clusters from their own area of expertise in an open question.
Measured: Baseline
Secondary outcomes (1)
Expert interpretation of within-cluster relationships and inter-cluster differences
An expert panel focus group discussion will be organized using different co-creation methods to further explore on the data-clusters within the BMI categories. By having experts from different fields share knowledge and interpretations, we expect to arrive at descriptions of specific subgroups within different BMI categories and about implications for further research and clinical implications (qualitative data-analysis).
Measured: One week after baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 May 2025
- Study start1 May 2025 (estimated)
- Primary completion1 Jun 2025 (estimated)
- Study completion1 Sep 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 15 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Zuyd University of Applied Sciences
- Sponsor type
- University, hospital or other
- Collaborators
- Statistics Netherlands (CBS), LIME Limburg Measures
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06960434
- Sponsor's protocol ID
- Overweight_SHICLIME_2025
- Acronym
- MOSAIC
- Status last verified
- Apr 2025
- First submitted
- 14 Apr 2025
- Last updated
- 7 May 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 7 May 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Systemic Interpretation of Personal and Environmental Characteristics in Overweight and Obesity: From Data Patterns to Practical Interventions
- ClinicalTrials.gov ID
- NCT06960434
- Acronym / sponsor ID
- MOSAIC / Overweight_SHICLIME_2025
- Conditions
- Obesity, Overweight (BMI > 25)
- Keywords
- overweight, obesity, prevention, lifestyle, data-driven, clusters
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 15 participants (estimated)
- Lead sponsor
- Zuyd University of Applied SciencesUniversity, hospital or other
- Collaborators
- Statistics Netherlands (CBS), LIME Limburg Measures
- Study start
- 1 May 2025 (estimated)
- Primary completion
- 1 Jun 2025 (estimated)
- Study completion
- 1 Sep 2025 (estimated)
- First posted
- 7 May 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In the Netherlands, about half of all adults are currently living with overweight. This number is expected to rise to as much as 64% by the year 2050, especially among younger adults aged 18 to 44. Overweight and obesity increase the risk of chronic conditions such as heart disease, diabetes, and joint problems. However, there is no single cause behind these issues. Instead, they result from a complex combination of factors - including nutrition, physical activity, sleep, stress, income, environment, and even air quality. These factors often influence each other and vary from person to person.
This study aims to better understand these patterns and connections. By analyzing large sets of data, researchers are identifying different subtypes of people with overweight or obesity. These subtypes reflect groups of individuals who share similar personal, lifestyle, and environmental characteristics. Understanding these differences makes it possible to develop more personalized lifestyle advice and support. That way, care and prevention efforts can be better tailored to what people actually need and what works best for them in practice. Experts from various fields are helping interpret the results, so that scientific insights can be translated into practical solutions for individuals, communities, and healthcare settings.
Detailed description
Overweight and obesity are increasingly prevalent in the Netherlands. Obesity-related health issues are complex and influenced by multiple interacting variables, including personal behaviors, socioeconomic status, environmental characteristics, and health conditions. This study seeks to validate and enrich the results of an ongoing exploratory data analysis by involving experts in the interpretation of identified factor clusters related to BMI categories.
This mixed methods study includes a quantitative component (an online survey) and a qualitative component (expert panel group discussions). Experts are recruited through purposive and snowball sampling and participate in interpreting variable clusters, assessing associations, and drawing conclusions on implications for further research and practical application.
Study design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- The study population consists of expert researchers and professionals from diverse domains including obesity research, medical and psychosocial health, lifestyle behavior, and environmental health sciences. Participants are selected using purposive sampling within the professional networks of the research team, followed by snowball sampling to include additional relevant experts. All participants have demonstrable expertise in interpreting data related to BMI or related influencing factors, and are capable of contributing to the interpretation of complex variable clusters from an interdisciplinary perspective.
Key inclusion criteria (4 listed)
- researchers or professionals with expertise in obesity, lifestyle, environment, psychosocial or medical factors;
- experience in data interpretation and/or public health;
- able to communicate in Dutch;
- willing to participate in the online survey and/or expert panel meeting
Key exclusion criteria (2 listed)
- no relevant domain expertise;
- inability to give informed consent
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters.
Time frame: Baseline
A self-developed questionnaire will be used to investigate and describe expert opinions on (1) the perceived relationsships between specific factors and BMI and (2) the expert assessment regarding data-clusters within BMI categories that has been identified in a previous study. First, the experts are invited to respond to the following question "Do you recognise a relationship between these characteristics and BMI?" on a 3-point likert scale: (1) No, I see absolutely nog relationship. (2) Yes, there may be a relationship, (3) Ik do not know. There will be space for a note. Second, identified data-clusters will be described. The experts are invited to give a brief interpretation of these clusters from their own area of expertise in an open question.
1 secondary outcome
Expert interpretation of within-cluster relationships and inter-cluster differences
Time frame: One week after baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 May 2025.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity and Overweight (BMI > 25), run by Zuyd University of Applied Sciences.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 7 May 2025. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Iris M Kanera, PhD (+642476766, iris.kanera@zuyd.nl), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters. (time frame: Baseline). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 May 2025.