利用生活质量工具检查糖尿病患者是否存在疲劳

IF 4.2 Q1 ENDOCRINOLOGY & METABOLISM
Catherine Nguyen , Henri K. Parson , Jordan Pettaway , Amber Ingram , Taneisha Sears , Jason T. Bard , Steven Forte , Jennifer A. Wintringham , Etta Vinik , Elias S. Siraj , Carolina M. Casellini
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引用次数: 0

摘要

糖尿病(DM)患者的疲劳患病率可高达50%。疲劳的身体、精神和社会心理因素会对生活质量(QOL)、发病率和死亡率产生负面影响。已经开发了一些工具来解决疲劳问题,但没有一个专门用于测量糖尿病患者的疲劳。本研究的目的是使用诺福克qol -疲劳(QOL-F)调查来评估糖尿病和神经病变对疲劳的影响。方法从[匿名]招募605名成人受试者(400名1型或2型糖尿病患者和205名非糖尿病患者(对照组))。所有受试者完成诺福克QOL-F。统计数据、体重、BMI和糖尿病病程。诺福克生活质量量表(Norfolk QOL-F)是一份包含35个项目的有效问卷,评估了五个领域:主观疲劳、身体和认知疲劳、活动减少、日常生活活动受损和抑郁。结果DM组疲劳总分明显高于DM组(52.63vs33.89, p <0.0001),与对照组相比,在所有五个领域。伴有神经病变的糖尿病患者疲劳程度明显高于无神经病变的糖尿病患者(59.72vs27.83, p <0.0001)。无神经病变DM患者的疲劳评分与对照组相似(27.83vs33.89, p = NS)。在多变量分析中,年龄、性别和有无神经病变显著影响疲劳评分。结论Norfolk QOL-F问卷可以潜在地识别慢性疾病如糖尿病对疲劳的影响。评估疲劳的不同组成部分对临床医生改善疾病管理和结果很重要。在有其他合并症的特定队列中,需要进一步的调查来证实这些观察结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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CiteScore
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自引率
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