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The reliability and validity for Japanese type 2 diabetes patients of the Japanese version of the acceptance and action diabetes questionnaire

Overview of attention for article published in BioPsychoSocial Medicine, August 2018
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3 X users

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Title
The reliability and validity for Japanese type 2 diabetes patients of the Japanese version of the acceptance and action diabetes questionnaire
Published in
BioPsychoSocial Medicine, August 2018
DOI 10.1186/s13030-018-0129-9
Pubmed ID
Authors

Junichi Saito, Wataru Shoji, Hiroaki Kumano

Abstract

The purpose of this study was to determing which psychological traits of Japanese type 2 diabetes patients would provide reliability and validity to the Japanese version of the Acceptance and Action Diabetes Questionnaire (AADQ-J). Various questionnaires were administered to type 2 diabetes patients who were registered on the database of the research service provider; data from a total of 600 patients (mean ± SD age was 57.50 ± 9.87 years, female 21.83%) were analyzed. Three items were excluded because of psychometric concerns related to the original 11-item AADQ. Confirmation factor analyses revealed that the eight-item version demonstrated the best indicators of a goodness of fit. The questionnaire showed adequate internal consistency. The questionnaire demonstrated high measurement accuracy in broad trait values by the test information function of Item Response Theory. The questionnaire showed stronger positive correlations with self-care activities and HbA1c than with diabetes distress and depressive mood. The eight-item Japanese version of AADQ has reliability and validity for type 2 diabetes patients.

X Demographics

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 19%
Student > Postgraduate 3 12%
Student > Master 2 8%
Student > Ph. D. Student 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 11 42%
Readers by discipline Count As %
Psychology 8 31%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Social Sciences 1 4%
Other 2 8%
Unknown 12 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2018.
All research outputs
#13,547,995
of 23,098,660 outputs
Outputs from BioPsychoSocial Medicine
#158
of 309 outputs
Outputs of similar age
#168,198
of 331,122 outputs
Outputs of similar age from BioPsychoSocial Medicine
#1
of 4 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 309 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them