The PedsQL™ Multidimensional Fatigue Scale in type 1 diabetes: feasibility, reliability, and validity

Varni, James W.; Limbers, Christine A.; Bryant, William P.; Wilson, Don P.

doi:10.1111/j.1399-5448.2008.00482.x

Cited by 87 publications

(79 citation statements)

References 31 publications

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“…Results of this pilot study showed that CHL experienced significantly more fatigue across all domains than the control group. A somewhat unexpected finding was that the CHL reported more fatigue on the PedsQL-MFS than children with other health conditions commonly associated with fatigue, such as cancer, rheumatoid arthritis, diabetes, and obesity (Varni et al, 2002;Varni, Burwinkle, & Szer, 2004;Varni, Limbers, Bryant, & Wilson, 2009. While Hornsby et al provided empirical support for the idea that CHL are at increased risk for fatigue, the preliminary study had several limitations.…”

Section: Subjective Fatigue In Chlmentioning

confidence: 83%

“…Parent versions of the PedsQL-MFS are also available. The PedsQL-MFS was developed for children and adolescents with different chronic conditions such as cancer, rheumatoid arthritis, diabetes, cerebral palsy, and obesity (Varni et al, 2006(Varni et al, , 2002(Varni et al, , 2009(Varni et al, , 2010. The test was not developed for CHL and does not include items weighted for fatigue potentially associated with sustained listening, attending, concentrating, or processing speech in difficult listening conditions.…”

Section: Fatigue Measurementioning

confidence: 99%

“…ICCs were calculated using the R package "irr" (Gamer, Lemon, Fellows, & Singh, 2012) using Spearman's mean rank correlations between child and parent raters. Previous researchers have suggested that ICCs of ≤ 0.40 reflect poor-to-fair agreement, ICCs of 0.41 to 0.60 reflect moderate agreement, ICCs ranging from 0.61 to 0.80 reflect good agreement, and ICCs between 0.81 and 1.00 reflect excellent agreement (Varni et al, 2009;Wilson, Dowling, Abdolell, & Tannock, 2000). Finally, associations between PedsQL-MFS scores and individual participant factors (i.e., age, degree of hearing loss, and language ability) were explored using Spearman's nonparametric rank correlations.…”

Section: Analysesmentioning

confidence: 99%

“…We highlight the increased risk of fatigue for CHL by comparing PedsQL-MFS ratings from the current study to ratings from children with other chronic conditions as reported in the literature. In addition to the five studies mentioned earlier, we identified four other studies examining fatigue using the PedsQL-MFS in five different health conditions for which fatigue is a common complaint (i.e., rheumatic diseases, Varni et al, 2004; type 1 diabetes, Varni et al, 2009;active cancer treatment, Varni et al, 2009;obesity, Varni et al, 2010;and short stature, Varni, Limbers, Bryant, & Wilson, 2012). PedsQL-MFS ratings from these children, from the CHL from the current study, and from children with CIs (Werfel & Hendricks, 2016) are shown in Figure 7.…”

Section: Children With Hearing Lossmentioning

confidence: 99%

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Subjective Fatigue in Children With Hearing Loss Assessed Using Self- and Parent-Proxy Report

et al. 2017

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Purpose The primary purposes of this study were to examine the effects of hearing loss and respondent type (self- vs. parent-proxy report) on subjective fatigue in children. We also examined associations between child-specific factors and fatigue ratings. Method Subjective fatigue was assessed using the Pediatric Quality of Life Inventory Multidimensional Fatigue Scale (PedsQL-MFS; Varni, Burwinkle, Katz, Meeske, & Dickinson, 2002). We compared self- and parent-proxy ratings from 60 children with hearing loss (CHL) and 43 children with normal hearing (CNH). The children ranged in age from 6 to 12 years. Results School-age CHL experienced more overall and cognitive fatigue than CNH, although the differences were smaller than previously reported. Parent-proxy report was not strongly associated with child self-report, and parents tended to underestimate their child's fatigue, particularly sleep/rest fatigue. Language ability was also associated with subjective fatigue. For CHL and CNH, as language abilities increased, cognitive fatigue decreased. Conclusions School-age CHL experience more subjective fatigue than CNH. The poor association between parent-proxy and child reports suggests that the parent-proxy version of the PedsQL-MFS should not be used in isolation when assessing fatigue in school-age children. Future research should examine how language abilities may modulate fatigue and its potential academic consequences in CHL.

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Section: Subjective Fatigue In Chlmentioning

confidence: 83%

Section: Fatigue Measurementioning

confidence: 99%

Section: Analysesmentioning

confidence: 99%

Section: Children With Hearing Lossmentioning

confidence: 99%

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Subjective Fatigue in Children With Hearing Loss Assessed Using Self- and Parent-Proxy Report

et al. 2017

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“…The most commonly used fatigue measure was the Paediatric Quality of Life Inventory Multidimensional Fatigue Scale (PedsQL-MFS), a well-validated measure of general fatigue, cognitive fatigue, and sleep/ rest fatigue that can be rated both by patients and by their parents. 14,31,32 Considering self-reports on the PedsQL-MFS, general fatigue ranged from 14% to 56%, sleep/rest fatigue from 12% to 38%, and cognitive fatigue from 9% to 52%. Parent-reports of their offspring's general fatigue ranged from 27% to 63%, sleep/rest fatigue from 35% to 63%, and cognitive fatigue from 23% to 76%.…”

Section: Overview Of Fatiguementioning

confidence: 99%

Understanding fatigue in paediatric multiple sclerosis: a systematic review of clinical and psychosocial factors

Carroll

Chalder

Hemingway

et al. 2015

Develop Med Child Neuro

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AIM Fatigue in children and adolescents with multiple sclerosis (caMS) is currently poorly understood. This review aimed to provide greater insight into this area and direction for future research by evaluating evidence of associations between fatigue and clinical, psychological, and social factors in caMS.METHOD Studies were identified by searching online databases, hand-searching reference lists, and requesting unpublished literature from key authors. Studies that examined fatigue in relation to at least one clinical, psychological, or social factor in caMS were included. Data on design, sample characteristics, measures of fatigue, clinical, psychological, and social variables, and key findings were extracted. Twelve studies were narratively synthesized.RESULTS Clinical factors appeared largely unrelated to fatigue, whereas associations between fatigue and tests of neurocognitive functioning, and fatigue and diagnosable psychiatric disorders, were mixed. However, fatigue and depressed mood consistently correlated. A small number of studies indicated associations between fatigue and reduced quality of life and school performance.INTERPRETATION A sufficient explanatory model of fatigue in caMS is lacking as studies in this area are few and diverse. Future research should endeavour to identify potentially modifiable clinical and psychosocial factors that are associated with fatigue in caMS so that interventions targeting such factors may be developed.Multiple sclerosis is a chronic neurodegenerative disorder characterized by inflammation and demyelination in the central nervous system, most often diagnosed in adulthood. 1 In rare cases, multiple sclerosis is diagnosed in childhood or adolescence.2 Paediatric acquired demyelinating syndromes, including paediatric multiple sclerosis, have an incidence rate of approximately 1 in 100 000. 3 In adult multiple sclerosis, sensory and motor impairments, optic neuritis, and bladder and bowel dysfunction are among the most common physical symptoms. In paediatrics, physical symptoms are less predominant but cognitive deficits more troublesome, typically affecting attention and processing speed, language, memory, and visuomotor functioning. [4][5][6] Moreover, psychosocial factors such as depression, lower quality of life, and fatigue are concerning features of paediatric multiple sclerosis, yet these features have received limited research attention to date. 6,7 Fatigue is the most common and one of the most disabling symptoms of multiple sclerosis, experienced by around 80% of adults with the disease. [8][9][10] Multiple sclerosis-related fatigue refers to a severe and overwhelming feeling of exhaustion and lack of energy, which may result in functional impairment.11 A growing body of evidence suggests that fatigue is also a significant problem in paediatric populations, affecting approximately 30% of the general adolescent population and a substantial proportion of children and adolescents with chronic illnesses such as cancer, rheumatoid arthritis, chronic pain, and neur...

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Current literature in diabetes

2010

Diabetes Metabolism Res

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In order to keep subscribers up‐to‐date with the latest developments in their field, John Wiley & Sons are providing a current awareness service in each issue of the journal. The bibliography contains newly published material in the field of diabetes/metabolism. Each bibliography is divided into 26 sections: 1 Reviews; 2 General; 3 Genetics; 4 Epidemiology; 5 Immunology; 6 Obesity; 7 Prediction and Prevention; 8 Intervention: a) General; b) Care; c) Drug Therapy; d)Economics; e) Gene therapy; f) Nursing; g) Nutrition; h) Surgery; i) Transplantation; 9 Pathology and Complications: a) General; b) Cardiovascular; c) Eye disease; d) Gestational and fetal; e) Neurological; f) Podiatrical; g) Renal; 10 Endocrinology & Metabolism; 11 Experimental Studies; 12 Diagnosis and Techniques. Within each section, articles are listed in alphabetical order with respect to author

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The PedsQL™ Multidimensional Fatigue Scale in type 1 diabetes: feasibility, reliability, and validity

Abstract: The results demonstrate the measurement properties of the PedsQL Multidimensional Fatigue Scale in type 1 diabetes. The findings suggest that the PedsQL Multidimensional Fatigue Scale may be utilized in the standardized evaluation of fatigue in pediatric patients with type 1 diabetes.

Cited by 87 publications

References 31 publications

Subjective Fatigue in Children With Hearing Loss Assessed Using Self- and Parent-Proxy Report

Subjective Fatigue in Children With Hearing Loss Assessed Using Self- and Parent-Proxy Report

Understanding fatigue in paediatric multiple sclerosis: a systematic review of clinical and psychosocial factors

Current literature in diabetes

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