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Time preference, outcome expectancy, and self-management in patients with type 2 diabetes

BACKGROUND: Patient self-management is crucial to prevent complications and mortality in type 2 diabetes. From an economic perspective, time preference predicts short-sighted decision making and thus might help to explain non-adherence to self-anagement recommendations. However, recent studies on th...

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Autores principales: Karl, Florian M, Holle, Rolf, Schwettmann, Lars, Peters, Annette, Laxy, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163016/
https://www.ncbi.nlm.nih.gov/pubmed/30288034
http://dx.doi.org/10.2147/PPA.S175045
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author Karl, Florian M
Holle, Rolf
Schwettmann, Lars
Peters, Annette
Laxy, Michael
author_facet Karl, Florian M
Holle, Rolf
Schwettmann, Lars
Peters, Annette
Laxy, Michael
author_sort Karl, Florian M
collection PubMed
description BACKGROUND: Patient self-management is crucial to prevent complications and mortality in type 2 diabetes. From an economic perspective, time preference predicts short-sighted decision making and thus might help to explain non-adherence to self-anagement recommendations. However, recent studies on this association have shown mixed results. PURPOSE: In this study, we tested whether the combination of time preference and outcome expectancy can improve the predictions of self-management behavior. PATIENTS AND METHODS: Data from 665 patients with type 2 diabetes were obtained from the cross-sectional KORA (Cooperative Health Research in the Region of Augsburg) GEFU 4 study. Time preference and outcome expectancy were measured by one question each, which were answered on a 4-point Likert scale. Their association with six self-managing behaviors was tested in logistic and linear regression analyses. Likewise, we examined the association between self-management and the interaction of outcome expectancy and time preference. RESULTS: A high time preference was associated with a significantly lower sum of self-management behaviors (β=−0.29, 95% CI [−0.54, −0.04]). Higher outcome expectancy was associated with a higher self-management score (β=0.21, 95% CI [−0.03, 0.45]). The interaction model showed that low time preference was only associated with better self-management when combined with a high outcome expectancy (β=0.05, 95% CI [−0.28, 0.39] vs β=0.27, 95% CI [−0.09, 0.63]). CONCLUSION: Time preference and outcome expectancy are interrelated predictors of patient self-management and could be used to identify and to intervene on patients with a potentially poor self-management.
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spelling pubmed-61630162018-10-04 Time preference, outcome expectancy, and self-management in patients with type 2 diabetes Karl, Florian M Holle, Rolf Schwettmann, Lars Peters, Annette Laxy, Michael Patient Prefer Adherence Original Research BACKGROUND: Patient self-management is crucial to prevent complications and mortality in type 2 diabetes. From an economic perspective, time preference predicts short-sighted decision making and thus might help to explain non-adherence to self-anagement recommendations. However, recent studies on this association have shown mixed results. PURPOSE: In this study, we tested whether the combination of time preference and outcome expectancy can improve the predictions of self-management behavior. PATIENTS AND METHODS: Data from 665 patients with type 2 diabetes were obtained from the cross-sectional KORA (Cooperative Health Research in the Region of Augsburg) GEFU 4 study. Time preference and outcome expectancy were measured by one question each, which were answered on a 4-point Likert scale. Their association with six self-managing behaviors was tested in logistic and linear regression analyses. Likewise, we examined the association between self-management and the interaction of outcome expectancy and time preference. RESULTS: A high time preference was associated with a significantly lower sum of self-management behaviors (β=−0.29, 95% CI [−0.54, −0.04]). Higher outcome expectancy was associated with a higher self-management score (β=0.21, 95% CI [−0.03, 0.45]). The interaction model showed that low time preference was only associated with better self-management when combined with a high outcome expectancy (β=0.05, 95% CI [−0.28, 0.39] vs β=0.27, 95% CI [−0.09, 0.63]). CONCLUSION: Time preference and outcome expectancy are interrelated predictors of patient self-management and could be used to identify and to intervene on patients with a potentially poor self-management. Dove Medical Press 2018-09-26 /pmc/articles/PMC6163016/ /pubmed/30288034 http://dx.doi.org/10.2147/PPA.S175045 Text en © 2018 Karl et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Karl, Florian M
Holle, Rolf
Schwettmann, Lars
Peters, Annette
Laxy, Michael
Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title_full Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title_fullStr Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title_full_unstemmed Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title_short Time preference, outcome expectancy, and self-management in patients with type 2 diabetes
title_sort time preference, outcome expectancy, and self-management in patients with type 2 diabetes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163016/
https://www.ncbi.nlm.nih.gov/pubmed/30288034
http://dx.doi.org/10.2147/PPA.S175045
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