Physically active children with epilepsy have good objective sleep duration and efficiency despite subjective reports of fatigue and sleep problems

Do, Jeffrey; Webster, Richard; Longmuir, Patricia E.; Ieradi, Sara; Reddy, Deepti; Whiting, Sharon; Pohl, Daniela

doi:10.1016/j.yebeh.2019.106853

Cited by 13 publications

(19 citation statements)

References 28 publications

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“…Six articles provided participant positive feedback on Fitbit use. In terms of device helpfulness, one study found that 100% of participants appreciated Fitbit wearables for their ability to track physical activity, and 88% found the Fitbit helpful for tracking dietary intake ( 43 ). Another study’s participants said they would recommend Fitbits to fellow survivors (relating to cancer), with 20% recommending use during treatment therapy and 80% post-therapy ( 41 ).…”

Section: Resultsmentioning

confidence: 99%

“…Twelve of the 25 articles reported an activity increase either after the study or after Fitbit use, including one study where participants claimed to have felt more active ( 44 ). One study apart from these twelve demonstrated a likelihood of participant activity increase ( 43 ). Another article sought out an activity change in its study objective, but such change was not demonstrated ( 39 ).…”

Section: Resultsmentioning

confidence: 99%

“…Of course, the range of benefits may vary depending on the chronic illness, patient, and/or desired outcome. For example, while Fitbit usage was beneficial for patients with epilepsy in improving sleep quality, Fitbit devices were concurrently found unable to detect epileptic episodes (43) Because positive outcomes were achieved using Fitbit trackers with little to no negative consequences of wear, it is reasonable to state from this data that Fitbit devices are acceptable for recreational use and are potentially beneficial for improving generalized wellbeing and physical activity in children with chronic health conditions. This determination is consistent with prior studies on adults.…”

Section: Fitbit Effects On Healthmentioning

confidence: 97%

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Utility of Fitbit devices among children and adolescents with chronic health conditions: a scoping review

Kasparian¹,

Badawy²

2022

mHealth

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Background: While Fitbit ® devices were initially intended for leisurely, consumer use, there has been recent interest among scientific and medical communities in the prospective use of Fitbit devices for clinical and research purposes. Those who have chronic health conditions are often required to spend considerable amounts of money and time undergoing physiological tests and activity monitoring to support, stabilize, and manage their health. This disease burden is only amplified in pediatric populations. Devices that are used to collect these data can be invasive, uncomfortable, and disconcerting. Using the Fitbit tracker to acquire such biometric data could ease this burden. Our scoping review seeks to summarize the research that has been conducted on the utilization of Fitbit devices in studies of children and adolescents with chronic health conditions and the feasibility, accuracy, and potential benefits of doing so.Methods: Searches were conducted on PubMed for articles relating pediatric health to Fitbit device usage (using a Boolean search strategy). The eligibility criteria included trials being clinical and/or randomized controlled and articles being in English. Once articles were obtained, they underwent screening and exclusion processes and were charted for their titles, authors, objectives, results, and respective chronic illnesses. In the subsequent full-text review, further charting was conducted, collecting study designs, Fitbit parameters, feasibility, accuracy, and related health and clinical outcomes.Results: Fitbit trackers were unanimously demonstrated to be feasible devices in this population for physical activity monitoring and were determined to be potentially beneficial in measuring and improving overall wellbeing and physical health in children with chronic illness. Nevertheless, sufficient evidence was not found in support of Fitbit accuracy. Additional biases were identified against the population of children with chronic health conditions that may further enable inaccurate data.Conclusions: While Fitbit devices may be beneficial for those interested in improving physical health, discretion is advised for those seeking to collect accurate and/or medically necessitated data. Given the existing literature evaluated, medical-grade technologies are preferred in instances of the latter, as Fitbit devices have not been found to provide reliably accurate data.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Fitbit Effects On Healthmentioning

confidence: 97%

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Utility of Fitbit devices among children and adolescents with chronic health conditions: a scoping review

Kasparian¹,

Badawy²

2022

mHealth

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“…Physical activity is another form of therapy in the case of sleep disorders in children. Its effect was demonstrated in a study conducted in children with epilepsy [44].…”

Section: Discussionmentioning

confidence: 95%

The Quality of Life in Patients with Epilepsy in the Context of Sleep Problems and Sexual Satisfaction

et al. 2021

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Epilepsy influences the quality of patient functioning in almost all aspects of life. This study aimed to assess the quality of difficulties with sleep initiation and those concerning sexual function, and to assess whether sleep disorders are associated with selected aspects of sexual function and quality of life. The study involved completing a quality-of-life questionnaire for persons with epilepsy: a QOLIE-31 questionnaire, and the present authors’ questionnaire, including 20 questions. A total of 170 questionnaires were completed by 89 men and 81 women. Sleep problems of various frequency were reported by 98 participants (57.6%). Only 41% of patients were definitely satisfied with their sex life. The respondents who declared dissatisfaction with their sex life more often reported difficulties with sleep initiation (χ2 = 10.20; p ≤ 0.001). Moreover, those who claimed that epilepsy might contribute to sex life problems more commonly declared dissatisfaction with their sex life (χ2 = 20.01; p ≤ 0.001) and more frequently, reported difficulties with sleep initiation (χ2 = 6.30; p ≤ 0.012). The issues should constitute the constant element of medical history taking, as improvement in these areas of functioning may promote better quality of life in patients with epilepsy.

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“…In rheumatoid arthritis, psychosocial predictors have been found to be better predictors of fatigue than physical factors; in fact, lower disease activity was associated with increased fatigue 39 . Fatigue has been found to be relatively unrelated to physical disease severity in rheumatoid arthritis 44 , paediatric immune thrombocytopenia 45 , objective sleep in children with epilepsy 46 and TBI severity 47 . In people with obesity, correlations between improvements in body weight reduction and fatigue have been relatively weak.…”

Section: Discussionmentioning

confidence: 99%

Responsiveness of the Italian version of the Pediatric Quality of Life Multidimensional Fatigue Scale in adult inpatients with obesity

Smout

Manzoni

Anna

et al. 2022

Sci Rep

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This study aimed to evaluate the responsiveness of the Italian version of the Paediatric Quality of Life Inventory Multidimensional Fatigue Scale (PedsQL-MFS) to changes in BMI, fatigue and depressive symptoms in adult inpatients with obesity. 198 adults (81% female, mean age = 44.7 years) with obesity completed the PedsQL-MFS, the Fatigue Severity Scale (FFS) and the Centre for Epidemiologic Studies Depression Scale (CESD) before and after completing a 3-week body weight reduction program. Internal responsiveness was measured via paired t-tests, standardized mean response (SMR) and Glass’s delta (d). Changes in FFS, CESD and BMI were used as anchors to categorize participants as “improved”, “unchanged” or “deteriorated”. External Responsiveness was assessed by comparing mean post-intervention PedsQL-MFS scores across change groups, adjusting for pre-intervention PedsQL-MFS scores and in area-under-curve (AUC) analysis. PedsQL-MFS Total, Sleep/Rest Fatigue and Cognitive Fatigue scores demonstrated significant reductions in response to an established body weight reduction program. Post-intervention PedsQL-MFS scale scores were lower among those who had improved on the CESD and FSS than among those whose CESD and FSS scores had not significantly changed. There was no difference in PedsQL-MFS scale scores according to whether participants had reduced their BMI by at least 5%. AUC analyses indicated that change in PedsQL-MFS scores was somewhat more predictive of improvement in CESD than FSS scores. The Italian version of the PedsQL-MFS demonstrated both internal and external responsiveness. It appeared more sensitive to improvement than deterioration in fatigue symptoms and its sensitivity to deterioration in depressive symptoms and weight loss could not be evaluated in the present study as there was no reliable deterioration in CESD scores and weight loss was modest. Future studies should include a control group to assess the sensitivity of the PedsQL-MFS more thoroughly.

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Physically active children with epilepsy have good objective sleep duration and efficiency despite subjective reports of fatigue and sleep problems

Cited by 13 publications

References 28 publications

Utility of Fitbit devices among children and adolescents with chronic health conditions: a scoping review

Utility of Fitbit devices among children and adolescents with chronic health conditions: a scoping review

The Quality of Life in Patients with Epilepsy in the Context of Sleep Problems and Sexual Satisfaction

Responsiveness of the Italian version of the Pediatric Quality of Life Multidimensional Fatigue Scale in adult inpatients with obesity

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