Cargando…

Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus

INTRODUCTION: The prevalence of fatigue in patients with diabetes mellitus (DM) can be as high as 50 %. Physical, mental, and psychosocial components of fatigue negatively impact quality of life (QOL), morbidity and mortality. Several tools have been developed to address fatigue, but none specifical...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Catherine, Parson, Henri K., Pettaway, Jordan, Ingram, Amber, Sears, Taneisha, Bard, Jason T., Forte, Steven, Wintringham, Jennifer A., Vinik, Etta, Siraj, Elias S., Casellini, Carolina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682818/
https://www.ncbi.nlm.nih.gov/pubmed/38034042
http://dx.doi.org/10.1016/j.jcte.2023.100328
_version_ 1785151058289360896
author Nguyen, Catherine
Parson, Henri K.
Pettaway, Jordan
Ingram, Amber
Sears, Taneisha
Bard, Jason T.
Forte, Steven
Wintringham, Jennifer A.
Vinik, Etta
Siraj, Elias S.
Casellini, Carolina M.
author_facet Nguyen, Catherine
Parson, Henri K.
Pettaway, Jordan
Ingram, Amber
Sears, Taneisha
Bard, Jason T.
Forte, Steven
Wintringham, Jennifer A.
Vinik, Etta
Siraj, Elias S.
Casellini, Carolina M.
author_sort Nguyen, Catherine
collection PubMed
description INTRODUCTION: The prevalence of fatigue in patients with diabetes mellitus (DM) can be as high as 50 %. Physical, mental, and psychosocial components of fatigue negatively impact quality of life (QOL), morbidity and mortality. Several tools have been developed to address fatigue, but none specifically for measuring fatigue in DM. The aim of this study was to assess the impact of diabetes and neuropathy on fatigue using the Norfolk QOL-Fatigue (QOL-F) survey. METHODS: 605 adult participants from [Anonymous] were recruited (400 subjects with type 1 or type 2 DM and 205 subjects without diabetes (controls)). All subjects completed the Norfolk QOL-F. Demographics, weight, BMI, and duration of diabetes were obtained. The Norfolk QOL-F, a 35-item validated questionnaire, assesses five domains: subjective fatigue, physical and cognitive fatigue, reduced activities, impaired activities of daily living, and depression. RESULTS: Subjects with DM reported significantly higher fatigue total scores (52.63vs33.89, p < 0.0001) and in all five domains when compared to controls. Patients with DM with neuropathy were significantly more fatigued than those without (59.72vs27.83, p < 0.0001). Fatigue scores in patients with DM without neuropathy were similar to controls (27.83vs33.89, p = NS). In multivariate analysis, age, gender, and presence of neuropathy significantly impacted fatigue scores. CONCLUSIONS: The Norfolk QOL-F questionnaire can potentially identify the impact of chronic diseases such as diabetes on fatigue. Assessing the different components of fatigue is important for clinicians in improving disease management and outcomes. Further investigations are needed to confirm these observations in specific cohorts with other comorbidities.
format Online
Article
Text
id pubmed-10682818
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-106828182023-11-30 Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus Nguyen, Catherine Parson, Henri K. Pettaway, Jordan Ingram, Amber Sears, Taneisha Bard, Jason T. Forte, Steven Wintringham, Jennifer A. Vinik, Etta Siraj, Elias S. Casellini, Carolina M. J Clin Transl Endocrinol Research Paper INTRODUCTION: The prevalence of fatigue in patients with diabetes mellitus (DM) can be as high as 50 %. Physical, mental, and psychosocial components of fatigue negatively impact quality of life (QOL), morbidity and mortality. Several tools have been developed to address fatigue, but none specifically for measuring fatigue in DM. The aim of this study was to assess the impact of diabetes and neuropathy on fatigue using the Norfolk QOL-Fatigue (QOL-F) survey. METHODS: 605 adult participants from [Anonymous] were recruited (400 subjects with type 1 or type 2 DM and 205 subjects without diabetes (controls)). All subjects completed the Norfolk QOL-F. Demographics, weight, BMI, and duration of diabetes were obtained. The Norfolk QOL-F, a 35-item validated questionnaire, assesses five domains: subjective fatigue, physical and cognitive fatigue, reduced activities, impaired activities of daily living, and depression. RESULTS: Subjects with DM reported significantly higher fatigue total scores (52.63vs33.89, p < 0.0001) and in all five domains when compared to controls. Patients with DM with neuropathy were significantly more fatigued than those without (59.72vs27.83, p < 0.0001). Fatigue scores in patients with DM without neuropathy were similar to controls (27.83vs33.89, p = NS). In multivariate analysis, age, gender, and presence of neuropathy significantly impacted fatigue scores. CONCLUSIONS: The Norfolk QOL-F questionnaire can potentially identify the impact of chronic diseases such as diabetes on fatigue. Assessing the different components of fatigue is important for clinicians in improving disease management and outcomes. Further investigations are needed to confirm these observations in specific cohorts with other comorbidities. Elsevier 2023-11-10 /pmc/articles/PMC10682818/ /pubmed/38034042 http://dx.doi.org/10.1016/j.jcte.2023.100328 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Nguyen, Catherine
Parson, Henri K.
Pettaway, Jordan
Ingram, Amber
Sears, Taneisha
Bard, Jason T.
Forte, Steven
Wintringham, Jennifer A.
Vinik, Etta
Siraj, Elias S.
Casellini, Carolina M.
Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title_full Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title_fullStr Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title_full_unstemmed Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title_short Utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
title_sort utilizing a quality of life tool to examine the presence of fatigue in subjects with diabetes mellitus
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682818/
https://www.ncbi.nlm.nih.gov/pubmed/38034042
http://dx.doi.org/10.1016/j.jcte.2023.100328
work_keys_str_mv AT nguyencatherine utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT parsonhenrik utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT pettawayjordan utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT ingramamber utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT searstaneisha utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT bardjasont utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT fortesteven utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT wintringhamjennifera utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT viniketta utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT sirajeliass utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus
AT casellinicarolinam utilizingaqualityoflifetooltoexaminethepresenceoffatigueinsubjectswithdiabetesmellitus