Systemic Interpretation of Personal and Environmental Characteristics in Overweight and Obesity: From Data Patterns to Practical Interventions
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 15
- 主要终点
- Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters.
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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
排除标准
- •no relevant domain expertise;
- •inability to give informed consent
结局指标
主要结局
Expert-perceived relationships between identified factors and BMI and expert assessment on identified data-clusters.
时间窗: 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.
次要结局
- Expert interpretation of within-cluster relationships and inter-cluster differences(One week after baseline)