Factors Affecting Fatigue in Patients with Type II Diabetes Mellitus in Korea

Seo, Yeong Mi; Hahm, Jong Ryeal; Kim, Tae Kyung; Choi, Won Hee

doi:10.1016/j.anr.2014.09.004

Cited by 23 publications

(28 citation statements)

References 20 publications

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“…The prevalence and the severity of fatigue in this study were found to be higher than previous reports of fatigue in the general population of older adults [38,39]. Although it is generally acknowledged that aging itself is a risk factor for fatigue [11] and that older adults with diabetes are more vulnerable to fatigue compared to adults without diabetes [24,40], results have been inconclusive regarding the association between fatigue and aging [14,40,41].…”

Section: Discussioncontrasting

confidence: 92%

Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model

Kim

Son

2019

IJERPH

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Older adults with diabetes appear more susceptible to fatigue compared to younger adults with diabetes or healthy older adults, since aging and diabetes independently and synergistically influence fatigue. Few studies have investigated fatigue in older adults with diabetes using a multidimensional approach. This study explored the influences of physical, psychological, interpersonal, and contextual factors on diabetes fatigue using a dynamic biopsychosocial model. Face-to-face surveys were administered to community-dwelling older adults with diabetes and included variables across four domains (i.e., physical, psychological, interpersonal, and contextual factors). Univariate analyses and multiple linear regression were used. The mean fatigue score was 3.94 (standard deviation (SD) = 1.81) out of 7, and the prevalence of fatigue was 48.8%. Significant differences in fatigue severity by psychological, interpersonal, and contextual factors were found. Comorbidity and psychological factors were significant predictors of fatigue in the model, explaining 31.9% of the variance. As nearly half the sample experienced moderate or severe fatigue, which was significantly influenced by both comorbidity and psychological factors, including depression, sleep quality, and diet-related psychological characteristics, assessing patients’ psychological status may be important. Awareness of fatigue could be incorporated into dietary interventions for older adults with diabetes.

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Section: Discussioncontrasting

confidence: 92%

Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model

Kim

Son

2019

IJERPH

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“…Its important association with emotional distress and fatigue has been noted in previous studies. 29 , 32 , 33 The mediating effects of HbA1c between DRSCA and emotional distress with fatigue call for investigation. We focused only on the association between DRSCA and perceived stress, anxiety, and fatigue.…”

Section: Limitationsmentioning

confidence: 99%

“… 29 Uncontrolled blood glucose levels are indicated to be indirectly associated with fatigue in patients. 31 Moreover, the severity of diabetes symptoms 29 and blood glucose level 32 , 33 are strongly associated with fatigue. It seems that DRSCA showing benefit for blood glucose level and diabetes symptoms may associate with fatigue.…”

Section: Introductionmentioning

confidence: 99%

The association of diabetes-related self-care activities with perceived stress, anxiety, and fatigue: a cross-sectional study

Zhao¹,

Suhonen²,

Katajisto³

et al. 2018

PPA

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PurposeMany people with type 2 diabetes (T2DM) do not sustain sufficient diabetes-related self-care activities (DRSCA) in their daily lives. To provide additional information about the positive influence of DRSCA, this study was conducted to examine whether DRSCA were associated with reduced perceived stress, anxiety, and fatigue among people with T2DM and to explore the level of DRSCA, perceived stress, anxiety, and fatigue and their association with background information.Patients and methodsThis study was a cross-sectional survey including 251 participants aged 18 years and older recruited from two hospitals in the eastern part of China. The study utilized self-report questionnaires that consisted of background information, DRSCA, perceived stress, anxiety, and fatigue. Hierarchical multiple regression analysis was conducted to explore the association of DRSCA with perceived stress, anxiety, and fatigue while adjusting for background information.ResultsThe results indicated that the level of self-care activities, stress, and fatigue was around middle level. The prevalence of anxiety was 19%. A high level of DRSCA was likely to reduce perceived stress but was not linked to anxiety and fatigue. Women were more susceptible to stress and anxiety, and people who had diabetes for >5 years were more likely to have anxiety. The background information included diabetes duration, standardized diabetes education, and high social support, all of which are factors that may influence DRSCA.ConclusionThe findings suggest that improving the level of DRSCA might effectively reduce perceived stress. The potential benefits of DRSCA can provide both motivational and evaluative data for self-care programs. In addition, the findings show that DRSCA were not linked to anxiety and fatigue, which implies that their positive influence on anxiety and fatigue may be offset by the load of frequent DRSCA. It is suggested that helping patients to make tailored plans to integrate DRSCA into their daily lives is needed. Meanwhile, in the background information, it is suggested that standardized diabetes education and high social support can benefit DRSCA; in improving psychological health, more attention should be paid to women and patients with diabetes duration <5 years.

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“…Various studies published in the literature have dealt with the causes of fatigue. Age, disease duration, BMI, glycemic control, acute and chronic complications, depression, and sleeping problems were the most common predisposing factors associated with acute and chronic fatigue (1,(4)(5)(6)19). However, there are different schools of thought regarding the association between glycemic control and fatigue.…”

Section: Discussionmentioning

confidence: 99%

“…It is very often encountered in patients suffering from diabetes and seriously affects the quality of life (3)(4)(5). The literature studies concerning patients affected with type 1 (T1D) and 2 (T2D) diabetes mellitus suggest the duration of diabetes mellitus, glycemic control, the frequency and severity of hypoglycemic attacks, depression, sleep problems, microvascular complications, pain, and body mass indices are the major predisposing factors for developing fatigue (2,6,7). Fatigue is also known to impair the compliance of treatment and disturb the glycemic control of patients with diabetes (1,2).…”

Section: Introductionmentioning

confidence: 99%

Fatigue is Related to Insulin Use by Acting Via Depressive Mood in Patients with Diabetes Mellitus

Haliloğlu¹,

Tutuncu²,

Şahin³

et al. 2020

Turk J Endocrinol Metab

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Objective: Fatigue is a common symptom in diabetes mellitus. The aim of this study was to determine the factors leading to fatigue and to investigate the effect of insulin use on fatigue among the diabetic population. Material and Methods: Onehundred diabetic patients attending the diabetes clinic of Cerrahpasa Medical Faculty between October 2017-January 2018 and 42 healthy controls were evaluated in this cross-sectional study. Questionnaires including demographic and disease characteristics, Fatigue Impact Scale (FIS), Fatigue Severity Scale (FSS), Beck Depression Inventory (BDI), quality of life scale (SF-36), Epworth Sleepiness Scale (ESS), and Pittsburgh Sleep Quality Index (PSQI) were used. Results: Ages (47.6±14.8 and 45.7±14.1 years; p=0.47) and body mass indices (26.6±4.1 and 25.3±3.5 kg/m 2 ; p=0.08) of 100 patients with diabetes (Type 1 Diabetes/Type 2 Diabetes= 29/71) and 42 healthy volunteers were similar. The diabetic group had worse FIS total (p=0.05), FIS psychological (p=0.04) scores and SF-36 scores compared to the healthy controls. When the patients with diabetes were divided into two groups according to insulin use and compared with healthy controls, the ESS and PSQI were similar but all FIS parameters (total p=0.005, cognitive p=0.007, physical p=0.01, psychological p=0.009) and BDI (p=0.05) were significantly worse in patients with insulin use than non-insulin and control groups. The relationship between fatigue and insulin use was independent of glycemic control and duration of diabetes but was affected by the BDI (p=0.001). Conclusion: Insulin use leads to fatigue in patients with diabetes, regardless of diabetes type, and this effect is influenced by depressive mood. Psychotherapeutic approaches prior to insulin treatment might yield fruitful results.

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Factors Affecting Fatigue in Patients with Type II Diabetes Mellitus in Korea

Abstract: Hypoglycemia symptoms were confirmed to be a predictor of fatigue. Consequently, it is essential to consider age, and disease duration as well as hypoglycemia symptoms to intervene fatigue effectively among patients with type II diabetes mellitus.

Cited by 23 publications

References 20 publications

Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model

Fatigue-Related Factors for Community-Dwelling Older Adults with Diabetes: A Theory-Guided Multi-Dimensional Approach Using the Dynamic Biopsychosocial Model

The association of diabetes-related self-care activities with perceived stress, anxiety, and fatigue: a cross-sectional study

Fatigue is Related to Insulin Use by Acting Via Depressive Mood in Patients with Diabetes Mellitus

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