Clinical trial

Mapping Obesity-related Subtypes And Interconnected Clusters

Opening soon · Not applicable · 0 countries · Registry ID NCT06960434

Opening soonNot applicableObservational

What this study is about

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.

A promising-looking record is not the same as confirmed eligibility. The study team must review the full criteria and current recruitment status.

Basic eligibility

AgeNot listed to Not listed

SexAll

Healthy volunteersAccepted

ConditionObesity, Overweight (BMI > 25)

Full registry criteria

Inclusion Criteria: * 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 Exclusion Criteria: * no relevant domain expertise; * inability to give informed consent

Treatments and study arms

The registry does not list a named intervention.

Primary outcomes

Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters.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.

Study locations

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No public site location was included in this record. Check the original registry for updates.