Evidence map›Paper›PMID 42890530›Full record

ArticleFrontiers in clinical diabetes and healthcare2026

"This is going to be a nice-to-know, not a need-to-know": absence of concern - a qualitative study of risk perception in early detection of type 1 diabetes.

Emilia Bjergskov Pedersen, Pernille Bech Flarup, Louise Norman Jespersen, Mette Due-Christensen, Julie Christine Antvorskov, Flemming Pociot, Dan Grabowski

Abstract read
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Article in Frontiers in clinical diabetes and healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Emilia Bjergskov PedersenDepartment of Prevention, Health Promotion & Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
Pernille Bech FlarupDepartment of Prevention, Health Promotion & Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
Louise Norman JespersenDepartment of Prevention, Health Promotion & Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
Mette Due-ChristensenDepartment of Prevention, Health Promotion & Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
Julie Christine AntvorskovTranslational Type 1 Diabetes Research, Department of Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
Flemming PociotTranslational Type 1 Diabetes Research, Department of Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
Dan GrabowskiDepartment of Prevention, Health Promotion & Community Care, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 1 Diabetes (T1D) is a chronic and demanding condition. In recent years, the development of immunomodulatory therapies has increased interest in early detection programs, which may delay disease onset and enable psychological preparedness. However, such programs also introduce new psychosocial considerations. This study explores how first-degree relatives of individuals with T1D perceive and experience participation in an early detection program. Methods: Semi-structured interviews were conducted with 28 adults aged 18-42 years participating in a Danish early detection program for T1D (DiaUnion). Data were analyzed using reflexive thematic analysis to explore patterns related to risk perception and meaning-making. Results: The analysis identified three main themes. First, narrative understanding of diabetes based on parental experience illustrates how perceptions of risk are shaped by family narratives and lived experiences. Second, general understanding of diabetes shows that perceptions are often informed by personal beliefs rather than biomedical knowledge. Third, interpretation of the screening result demonstrates that results are frequently downplayed and assigned limited personal significance. Across themes, participants actively constructed meaning around their risk through coping strategies such as normalization, reframing, and emphasizing controllability, which contributed to a generally low perceived risk. Conclusion: Risk perception among first-degree relatives is shaped by pre-existing personal and familial narratives, which influence how screening results are interpreted. Early detection programs should therefore move beyond standardized communication and adopt more individualized approaches that account for participants' existing frameworks of understanding and coping.

Indexed as

early detectionfirst-degree relativespsychosocial aspectqualitative researchrisk perceptiontype 1 diabetes

Identifiers

PMID42890530
PMCPMC13671937

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.