Vedhara, Kavita, Dawe, Karen, Miles, Jeremy N.V., Wetherell, Mark A., Cullum, Nicky, Dayan, Colin, Drake, Nicola, Price, Patricia, Tarlton, John, Weinman, John, and others. (2016) Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers. PloS one, 11 (4). E-ISSN 1932-6203. (doi:10.1371/journal.pone.0153315) (KAR id:79608)
PDF
Author's Accepted Manuscript
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
Download (346kB)
Preview
|
Preview |
This file may not be suitable for users of assistive technology.
Request an accessible format
|
|
Official URL https://dx.doi.org/10.1371/journal.pone.0153315 |
Abstract
Background
We examined whether illness beliefs independently predicted survival in patients with diabetes and foot ulceration.
Methods
Cox regressions examined the predictors of time to death and identified ischemia and identity beliefs (beliefs regarding symptoms associated with foot ulceration) as significant predictors of time to death.
Conclusions
Our data indicate that illness beliefs have a significant independent effect on survival in patients with diabetes and foot ulceration. These findings suggest that illness beliefs could improve our understanding of mortality risk in this patient group and could also be the basis for future therapeutic interventions to improve survival.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1371/journal.pone.0153315 |
Uncontrolled keywords: | ulcers, diabetes mellitus, ischemia, depression, emotions, patients, neuropathy, HbA1c |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Daniel Soria |
Date Deposited: | 17 Jan 2020 15:39 UTC |
Last Modified: | 16 Feb 2021 14:10 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/79608 (The current URI for this page, for reference purposes) |
Soria, Daniele: | ![]() |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):