Last updated September 2, 2026
Key finding
Higher agreeableness correlated negatively with baseline HbA1c (partial correlation -0.20, p < 0.05).
This study examined the relationship between personality traits and glycemic control in adults with Type 1 diabetes, revealing significant associations with HbA1c and psychosocial outcomes.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Short-Term (≤3 mo)
Risk of bias
Some Concerns
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Plain-language summary
A plain-language read of the study’s main message and where it applies.
Study focus
This study examined the relationship between personality traits and glycemic control in adults with Type 1 diabetes, revealing significant associations with HbA1c and psychosocial outcomes.
Understanding the impact of personality traits on diabetes management can help healthcare providers tailor interventions to improve glycemic control and enhance the quality of life for patients. By addressing psychological factors, clinicians can better support patients in managing their diabetes effectively.
The study's effectiveness of interventions remains unclear due to insufficient data. Limited generalizability as the sample may not represent all adults with Type 1 diabetes. Potential confounding factors related to personality traits were not fully controlled.
Published in
Publication details and source links for this paper.
Anna LS, Mette AN, Erik LM, Kirsten N. Personality Traits and Their Association with Glycemic Control and Patient-Reported Outcomes in Adults with Type 1 Diabetes. Psychology Research and Behavior Management. 2025;18:353-360. doi:10.2147/PRBM.S492084
Higher agreeableness correlated negatively with baseline HbA1c (-0.20, p < 0.05) but positively with HbA1c change over time (0.36, p < 0.05).
Higher neuroticism was associated with increased diabetes distress (0.39, p < 0.001) and lower treatment satisfaction (-0.18, p < 0.05).
Higher neuroticism correlated with lower psychosocial self-efficacy (-0.43, p < 0.001) and lower quality of life (-0.32, p < 0.001).
Evidence network
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This study contributes evidence to Carbohydrate counting with ABC and Diabetes distress scores, Diabetes management self-efficacy, HbA1c, and 2 more.
This study contributes evidence to
Primary intervention
Carbohydrate counting with ABC
Primary outcomes
Primary intervention
Primary outcomes
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
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Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
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Evidence pairs
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Contributes evidence
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Contributes evidence
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Contributes evidence
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Primary evidence
Evidence topic
matched_outcome
Related evidence
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Core evidence
The primary outcomes reported in this study.
Carbohydrate counting with ABC → Diabetes distress scores
Carbohydrate counting with ABC → Diabetes distress scores
Carbohydrate counting with ABC → Diabetes management self-efficacy
Carbohydrate counting with ABC → Diabetes management self-efficacy
Carbohydrate counting with ABC → Oxford Maternity Diabetes Treatment Satisfaction (OMDTSQ) score
Carbohydrate counting with ABC → Oxford Maternity Diabetes Treatment Satisfaction (OMDTSQ) score
Carbohydrate counting with ABC → Quality of life
Carbohydrate counting with ABC → Quality of life
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Carbohydrate counting with ABC and Diabetes Distress Measures, Carbohydrate counting with ABC and HbA1c.
This study contributes to the evidence on the following intervention-outcome relationships.
Behavioral & Lifestyle
Behavioral & Lifestyle
Behavioral & Lifestyle
Curated evidence collections and hubs this study is part of.
All studies on Carbohydrate counting with ABC
Contributes to Carbohydrate counting with ABC evidence base.
All studies measuring Diabetes Distress Measures
Measures Diabetes Distress Measures as a key outcome.
All studies measuring HbA1c
Measures HbA1c as a key outcome.
All studies measuring Quality of Life Outcomes
Measures Quality of Life Outcomes as a key outcome.
Latest published studies
Published within the last 2 years.
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1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Carbohydrate counting with ABC appears to lower HbA1c.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
HbA1c
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of Carbohydrate counting with ABC for diabetes distress scores.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Diabetes distress scores
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of Carbohydrate counting with ABC for diabetes management self-efficacy.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Diabetes management self-efficacy
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of Carbohydrate counting with ABC for oxford maternity diabetes treatment satisfaction (OMDTSQ) score.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Oxford Maternity Diabetes Treatment Satisfaction (OMDTSQ) score
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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