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Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors

Fatigue is a persistent symptom, impacting quality of life (QoL) and functional status in people with type 2 diabetes, yet the symptom of fatigue has not been fully explored. The purpose of this study was to explore the relationship between fatigue, QoL functional status and to investigate the predi...

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Autores principales: Singh, Rupali, Teel, Cynthia, Sabus, Carla, McGinnis, Patricia, Kluding, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100935/
https://www.ncbi.nlm.nih.gov/pubmed/27824886
http://dx.doi.org/10.1371/journal.pone.0165652
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author Singh, Rupali
Teel, Cynthia
Sabus, Carla
McGinnis, Patricia
Kluding, Patricia
author_facet Singh, Rupali
Teel, Cynthia
Sabus, Carla
McGinnis, Patricia
Kluding, Patricia
author_sort Singh, Rupali
collection PubMed
description Fatigue is a persistent symptom, impacting quality of life (QoL) and functional status in people with type 2 diabetes, yet the symptom of fatigue has not been fully explored. The purpose of this study was to explore the relationship between fatigue, QoL functional status and to investigate the predictors of fatigue. These possible predictors included body mass index (BMI), Hemoglobin A1C (HbA1C), sleep quality, pain, number of complications from diabetes, years since diagnosis and depression. Forty-eight individuals with type 2 diabetes (22 females, 26 males; 59.66±7.24 years of age; 10.45 ±7.38 years since diagnosis) participated in the study. Fatigue was assessed by using Multidimensional Fatigue Inventory (MFI-20). Other outcomes included: QoL (Audit of Diabetes Dependent QoL), and functional status (6 minute walk test), BMI, HbA1c, sleep (Pittsburg sleep quality index, PSQI), pain (Visual Analog Scale), number of complications, years since diagnosis, and depression (Beck’s depression Inventory-2). The Pearson correlation analysis followed by multivariable linear regression model was used. Fatigue was negatively related to quality of life and functional status. Multivariable linear regression analysis revealed sleep, pain and BMI as the independent predictors of fatigue signaling the presence of physiological (sleep, pain, BMI) phenomenon that could undermine health outcomes.
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spelling pubmed-51009352016-11-18 Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors Singh, Rupali Teel, Cynthia Sabus, Carla McGinnis, Patricia Kluding, Patricia PLoS One Research Article Fatigue is a persistent symptom, impacting quality of life (QoL) and functional status in people with type 2 diabetes, yet the symptom of fatigue has not been fully explored. The purpose of this study was to explore the relationship between fatigue, QoL functional status and to investigate the predictors of fatigue. These possible predictors included body mass index (BMI), Hemoglobin A1C (HbA1C), sleep quality, pain, number of complications from diabetes, years since diagnosis and depression. Forty-eight individuals with type 2 diabetes (22 females, 26 males; 59.66±7.24 years of age; 10.45 ±7.38 years since diagnosis) participated in the study. Fatigue was assessed by using Multidimensional Fatigue Inventory (MFI-20). Other outcomes included: QoL (Audit of Diabetes Dependent QoL), and functional status (6 minute walk test), BMI, HbA1c, sleep (Pittsburg sleep quality index, PSQI), pain (Visual Analog Scale), number of complications, years since diagnosis, and depression (Beck’s depression Inventory-2). The Pearson correlation analysis followed by multivariable linear regression model was used. Fatigue was negatively related to quality of life and functional status. Multivariable linear regression analysis revealed sleep, pain and BMI as the independent predictors of fatigue signaling the presence of physiological (sleep, pain, BMI) phenomenon that could undermine health outcomes. Public Library of Science 2016-11-08 /pmc/articles/PMC5100935/ /pubmed/27824886 http://dx.doi.org/10.1371/journal.pone.0165652 Text en © 2016 Singh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Singh, Rupali
Teel, Cynthia
Sabus, Carla
McGinnis, Patricia
Kluding, Patricia
Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title_full Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title_fullStr Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title_full_unstemmed Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title_short Fatigue in Type 2 Diabetes: Impact on Quality of Life and Predictors
title_sort fatigue in type 2 diabetes: impact on quality of life and predictors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100935/
https://www.ncbi.nlm.nih.gov/pubmed/27824886
http://dx.doi.org/10.1371/journal.pone.0165652
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