Evidence map›Paper›PMID 40008247›Full record

ArticlePsychology research and behavior management2025

Personality in Type 1 Diabetes and the Impact of Personality Traits on the Effects of Introducing Diabetes Technology.

Anna Lilja Secher, Mette Andersen Nexø, Erik Lykke Mortensen, Kirsten Nørgaard

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Article in Psychology research and behavior management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anna Lilja SecherDepartment of Clinical and Translational Research, Steno Diabetes Center Copenhagen, Copenhagen, Denmark.
Mette Andersen NexøDepartment of Education, Steno Diabetes Center Copenhagen, Copenhagen, Denmark.
Erik Lykke MortensenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Kirsten NørgaardDepartment of Clinical and Translational Research, Steno Diabetes Center Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1620-8271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: How well new technology is applied to the daily management of type 1 diabetes (T1D) may be highly influenced by personality traits. The number of studies examining how personality traits influence diabetes self-management technologies such as continuous glucose monitoring and carbohydrate counting with automated insulin bolus calculation based on carbohydrate ratios and insulin sensitivity is scarce. Derived from a randomized controlled trial, we aimed to examine the association between personality traits and glycemic and patient-reported outcomes in adults with T1D on multiple daily insulin injections initiating flash glucose monitoring and carbohydrate counting with automated bolus calculation. Methods: Personality trait scores from The Five-Factor Inventory-3 were analyzed in 170 individuals. We assessed baseline (n = 168) and changes (n = 34) in HbA1c, and patient-reported outcomes (validated questionnaires on diabetes distress, diabetes treatment satisfaction, diabetes psychosocial self-efficacy, diabetes quality of life) in bivariate and partial correlation analyses with personality traits (neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness). Results: Adjusted for sex, age, and diabetes debut age, higher agreeableness correlated negatively with baseline HbA1c (partial correlation -0.20, p < 0.05) but positively with HbA1c change over time (0.36, p < 0.05). Higher neuroticism score was associated with higher baseline distress (0.39, p < 0.001) and lower baseline psychosocial self-efficacy (-0.43, p < 0.001), quality of life (-0.32, p < 0.001) and treatment satisfaction (-0.18, p < 0.05). Conclusion: This study confirms that personality traits are associated with glycemia and patient-reported outcomes in adults with T1D. Consequently, tailored diabetes management approaches are likely to enhance overall outcomes, especially when incorporating diabetes technology.

Indexed as

diabetesglycemic effectpatient-reported outcomespersonality traits

Identifiers

PMID40008247
PMCPMC11853824

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