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Modelling of diabetes knowledge, attitudes, self-management, and quality of life: a cross-sectional study with an Australian sample

Overview of attention for article published in Health and Quality of Life Outcomes, August 2015
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Title
Modelling of diabetes knowledge, attitudes, self-management, and quality of life: a cross-sectional study with an Australian sample
Published in
Health and Quality of Life Outcomes, August 2015
DOI 10.1186/s12955-015-0303-8
Pubmed ID
Authors

Yee Cheng Kueh, Tony Morris, Erika Borkoles, Himanshu Shee

Abstract

Quality of life (QoL) is an important aspect of wellbeing for people with chronic conditions like type 2 diabetes, making it a noteworthy outcome. Knowledge about diabetes, attitudes, and self-management of diabetes are key factors that might directly or indirectly impact QoL. However, little is known about the inter-relationships between diabetes knowledge, attitudes, self-management and QoL among people with type 2 diabetes mellitus (T2DM). The aim of this study was to examine a model describing the relationship between diabetes knowledge, attitudes, self-management, and QoL of people with T2DM that is based on previous research linking pairs of these variables. A cross-sectional study design was employed in this research. A total of 291 participants, 192 males and 99 females, with T2DM, whose mean age was 55.8 (standard deviation = 11.09) completed questionnaires measuring diabetes knowledge (Diabetes Knowledge Scale), attitudes (Diabetes Integration Scale -19), self-management (Summary of Diabetes Self-care Activities Scale), including the aspects of diet, exercise, blood glucose testing, and foot care, and QoL (Diabetes Quality of Life Scale), comprising the aspects of satisfaction and impact on QoL respectively. To examine the model we proposed relating these variables, data were analysed using the path analysis. In the final model, diabetes knowledge was a significant predictor for attitudes and self-management in terms of blood glucose testing. Attitudes was a significant predictor for self-management in terms of diet. In addition, self-management in terms of blood glucose testing was a significant predictor of impact of QoL, and self-management in terms of diet was a significant predictor of satisfaction and impact of QoL. Self-management in terms of exercise was a significant predictor of satisfaction in QoL. The final model reflected a good fit (χ (2) (14) = 22.52, p = 0.069; CFI = 0.983; GFI = 0.983; RMSEA = 0.046). Diabetes knowledge, attitudes, and self-management are important factors that can impact the QoL among people with type 2 diabetes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 315 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Japan 1 <1%
Unknown 312 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 17%
Student > Bachelor 35 11%
Student > Ph. D. Student 34 11%
Lecturer 30 10%
Student > Postgraduate 23 7%
Other 60 19%
Unknown 81 26%
Readers by discipline Count As %
Nursing and Health Professions 89 28%
Medicine and Dentistry 57 18%
Business, Management and Accounting 10 3%
Social Sciences 10 3%
Psychology 10 3%
Other 46 15%
Unknown 93 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 August 2015.
All research outputs
#18,423,683
of 22,824,164 outputs
Outputs from Health and Quality of Life Outcomes
#1,669
of 2,158 outputs
Outputs of similar age
#191,843
of 266,176 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#40
of 67 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% 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 266,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.