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Understanding the links between resilience and type-2 diabetes self-management: a qualitative study in South Australia

Overview of attention for article published in Archives of Public Health, September 2017
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Title
Understanding the links between resilience and type-2 diabetes self-management: a qualitative study in South Australia
Published in
Archives of Public Health, September 2017
DOI 10.1186/s13690-017-0222-8
Pubmed ID
Authors

A. L. Wilson, D. McNaughton, S. B. Meyer, P. R. Ward

Abstract

Research conducted by Ward, Muller, Tsourtos, et al. (Soc Sci Med 72(7):1140-1148, 2011) has led to the development of the psycho-social interactive model of resilience, which reveals the interaction between individual resilience factors (i.e. coping, confidence and self esteem) and external resilience environments (i.e. employment, supportive family environments and health promoting policies) in facilitating the development of resilience. This present study explored the utility of this model of resilience for understanding how people self-manage type-2 diabetes. Data were collected via 14 semi-structured life-history interviews with women and men living with type-2 diabetes mellitus (T2DM). Participants varied according to socio-demographics (gender, age, education level, income) and were recruited based on their self-reported management (or lack thereof) of T2DM. The inter-play of internal traits and external resources with additive and subtractive resilience strategies were consistent with the psycho-social interactive model of resilience. Self-management was influenced by life history. Differences in self-management and material disadvantage were also identified. Alongside increased disadvantage are higher levels of external barriers to self-management practices. This paper supports the concepts of additive and subtractive resilience strategies for use with diabetes populations; providing health professionals and policy makers with an increased understanding of how to recognize and foster patient resilience for the improvement of self-care, disease management and ultimately health outcomes.

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The data shown below were collected from the profiles of 5 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 14%
Student > Ph. D. Student 15 12%
Student > Bachelor 12 10%
Student > Doctoral Student 12 10%
Researcher 10 8%
Other 20 16%
Unknown 39 31%
Readers by discipline Count As %
Nursing and Health Professions 35 28%
Medicine and Dentistry 19 15%
Psychology 9 7%
Social Sciences 6 5%
Business, Management and Accounting 3 2%
Other 13 10%
Unknown 40 32%
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 05 October 2017.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from Archives of Public Health
#572
of 1,144 outputs
Outputs of similar age
#164,731
of 325,640 outputs
Outputs of similar age from Archives of Public Health
#17
of 25 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 325,640 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 25 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.