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Family-based Prevention of Diabetes Through Eating Habits and Physical Activity

Slagelse Hospital · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
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diabetes-mellitushealth-behaviorhealthy-lifestylenatelemedicinetype-2
Introduction: Type 2 diabetes represents a growing health risk for the society. An easy-access and low-cost intervention for the whole family will be developed to help families with (at risk of) type 2 diabetes maintain diabetes-frendly everyday life. The intervention will be tested for feasibility. Methods: Following the framework for developing and conduct of complex interventions, the intervention will be developed on the basis of current evidence on family-based diabetes treatment and opinions of families with type 2 diabetes. The feasibility test will have embedded mixed methods one-group study design. Participants: Families will answer a brief screening questionnaire. Families (n=25) that consist of at least one adult with (in risk of) type 2 diabetes living in the same household with at least one 5-18 yeard old child, and at least one family member living sedentary lifestyle, will participate. Intervention: The 3-months long hybrid telehealth/face-to-face intervention with weekly 1-hour contacts with health professionals will deliver diabetes education and tailored support to implement more physical activity and healthy meals in the family everyday life. A 3-months long supervised maintenance phase with monthly professional contacts will be included. Outcomes: Feasibility evaluation will be conducted using quantitative (quantifiable) and qualitative research methods. The feasibility data will be the primary outcomes of the study, collected and evaluated using the predefined research progression criteria applied the green-amber-red method. Sociodemography and secondary outcomes, such as physical activity, dieting habits, daily occupations, occupational balance, health and quality of life will be assessed at baseline and 3 and 6-months follow-ups. The quantitative results will be comprehended through qualitative data from participant interviews which will nuance the feasibility evaluation. Analysis: Relevant statistical methods and qualitative analysis met
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