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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-5100935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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