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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.
Afiliação
  • Nguyen C; School of Medicine, Eastern Virginia Medical School, Norfolk, VA 23507, USA.
  • Parson HK; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Pettaway J; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Ingram A; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Sears T; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Bard JT; School of Medicine, Eastern Virginia Medical School, Norfolk, VA 23507, USA.
  • Forte S; School of Medicine, Eastern Virginia Medical School, Norfolk, VA 23507, USA.
  • Wintringham JA; School of Medicine, Eastern Virginia Medical School, Norfolk, VA 23507, USA.
  • Vinik E; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Siraj ES; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
  • Casellini CM; Strelitz Diabetes Center, EVMS Endocrine & Metabolic Disorders, Eastern Virginia Medical School, Norfolk, VA 23510, USA.
J Clin Transl Endocrinol ; 34: 100328, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38034042
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article