Evidence map›Paper›PMID 23835696›Full record

ArticleDiabetes care2013

Glycemic control and blood glucose monitoring over time in a sample of young Australians with type 1 diabetes: the role of personality.

Daniel Waller, Christine Johnston, Lynda Molyneaux, Lin Brown-Singh, Kristy Hatherly, Lorraine Smith, Jane Overland

Abstract read
In one paragraph

Article in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
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  7. Personality Prototypes in People with Type 1 Diabetes and Their Relationship with Adherence.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel WallerCorresponding author: Lorraine Smith, lorraine.smith@sydney.edu.au.
Christine Johnston
Lynda Molyneaux
Lin Brown-Singh
Kristy Hatherly
Lorraine Smith
Jane Overland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether personality traits (conscientiousness, agreeableness, emotional regulation, extraversion, and openness to experience) are associated with glycemic control and blood glucose monitoring behavior, and change or stability of these outcomes over time, in young people with type 1 diabetes. RESEARCH DESIGN AND

methodsA 3-year longitudinal study was conducted using data from 142 individuals with type 1 diabetes, 8-19 years of age. Personality was assessed at baseline using the Five-Factor Personality Inventory for Children. Data relating to glycemic control (HbA1c) and frequency of blood glucose monitoring (based on meter memory) were collected annually. Relationships between personality traits and HbA1c and monitoring frequency were examined using regression models and mixed-design ANOVA.

resultsThree of the Five-Factor domains were independently associated with glycemic control. Individuals high in conscientiousness and agreeableness had a lower and more stable HbA1c across the 3-year study period. In contrast, the HbA1c of individuals scoring low on these traits was either consistently worse or deteriorated over time. Low or high emotional regulation scores were also associated with worse glycemic control. By the third year, these domains, together with initial HbA1c, accounted for 39% of HbA1c variance. Conscientiousness was the only personality factor associated with blood glucose monitoring behavior.

conclusionsResults of this study underline the importance of personality in contributing to diabetes outcomes. Attention to a young person's personality, and appropriate tailoring of diabetes management to ensure an individualized approach, may help to optimize diabetes outcomes.

Indexed as

AdolescentAdultAustraliaBlood GlucoseBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansLogistic ModelsMalePersonalityYoung AdultBlood GlucoseGlycated Hemoglobin

Identifiers

PMID23835696
PMCPMC3781533

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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.