Temporal Associations between Sleep and Daytime Functioning in Parkinson’s Disease: A Smartphone-Based Ecological Momentary Assessment

Wu, Jade Q.; Cronin‐Golomb, Alice

doi:10.1080/15402002.2019.1629445

Cited by 11 publications

(23 citation statements)

References 31 publications

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“…Among 17 studies, 6 studies collected symptoms using a smartphone accelerometer and gyroscope [ 16 , 20 , 21 , 24 , 25 , 28 ]. Further, 7 studies used wearable devices [ 20 , 23 , 26 , 27 , 31 , 33 , 35 ], which included a smartwatch [ 20 , 33 ], a smart insole [ 20 ], an actigraph such as a Fitbit [ 23 ], and sensors attached to the ankle [ 31 , 35 ], chest [ 26 ], or wrist [ 26 ]. Task performance was assessed in 9 studies [ 16 , 20 , 21 , 24 , 25 , 29 , 30 , 34 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

“…Voice data were collected using the microphone of a smartphone in 2 studies [ 20 , 21 ], and 1 study collected voice data using a head-mounted condenser microphone [ 35 ]. Another method of collecting data on symptoms was a self-reported survey [ 20 , 22 , 24 , 26 , 27 , 30 , 34 ]. Structured survey tools for electronic patient-reported outcomes [ 22 ] and ecological momentary assessments (EMAs) [ 26 , 27 ] were developed.…”

Section: Resultsmentioning

confidence: 99%

“…Another method of collecting data on symptoms was a self-reported survey [ 20 , 22 , 24 , 26 , 27 , 30 , 34 ]. Structured survey tools for electronic patient-reported outcomes [ 22 ] and ecological momentary assessments (EMAs) [ 26 , 27 ] were developed. EMAs collect subjective experiences at multiple semirandomized moments during the day to better capture symptom changes.…”

Section: Resultsmentioning

confidence: 99%

“…The measured outcomes of mobile app usage were participants’ satisfaction with the mobile app [ 25 , 29 , 32 , 34 ], compliance with using the app [ 20 , 22 , 23 , 25 , 27 , 29 , 31 , 34 , 35 ], and correlations between the collected symptom data and symptom severity for people with PD [ 16 , 20 - 22 , 24 , 26 - 29 , 33 ] ( Table 4 ). Satisfaction with the mobile app was investigated using structured items in various studies.…”

Section: Resultsmentioning

confidence: 99%

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Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Yeom¹,

Kim²,

Yoo³

et al. 2022

JMIR Mhealth Uhealth

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Background Self-care is essential for people with Parkinson disease (PD) to minimize their disability and adapt to alterations in physical abilities due to this progressive neurodegenerative disorder. With rapid developments in mobile technology, many health-related mobile apps for PD have been developed and used. However, research on mobile app–based self-care in PD is insufficient. Objective This study aimed to explore the features and characteristics of mobile apps for self-care in people with PD. Methods This study was performed sequentially according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science, and PsycINFO were searched in consultation with a librarian on June 8, 2021. We used keywords including ”Parkinson disease” and ”mobile.” Results A total of 17 studies were selected based on the inclusion criteria, including 3 randomized controlled trials and 14 observational studies or quasi-experimental studies. The use of mobile apps for self-care in people with PD focused on symptom monitoring, especially motor symptoms. Motor symptoms were objectively measured mainly through the sensors of smartphones or wearable devices and task performance. Nonmotor symptoms were monitored through task performance or self-reported questionnaires in mobile apps. Most existing studies have focused on clinical symptom assessment in people with PD, and there is a lack of studies focusing on symptom management. Conclusions Mobile apps for people with PD have been developed and used, but strategies for self-management are insufficient. We recommend the development of mobile apps focused on self-care that can enhance symptom management and health promotion practices. Studies should also evaluate the effects of mobile apps on symptom improvement and quality of life in people with PD. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42021267374; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021267374.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Yeom¹,

Kim²,

Yoo³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Conversely, most authors used this tool to indirectly examine sleep quality through specific measures, such as the fragmentation index and sleep latency, time, and efficiency. Overall, studies that used actigraphy in PD addressed the following four main issues: (i) assessment of sleep features [ 13 , 16 , 17 , 20 , 21 , 22 , 23 , 24 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 ]; (ii) evaluation of therapeutic interventions [ 14 , 15 , 83 , 89 , 90 , 91 , 92 , 93 , 94 ]; (iii) validation of clinical scales [ 95 , 96 ], and; (iv) identification of specific primary sleep disorders [ 18 , 19 ].…”

Section: Nocturnal Movements In Parkinson’s Disease: Studies Usingmentioning

confidence: 99%

Shedding Light on Nocturnal Movements in Parkinson’s Disease: Evidence from Wearable Technologies

Zampogna

Manoni

Asci

et al. 2020

Sensors

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In Parkinson’s disease (PD), abnormal movements consisting of hypokinetic and hyperkinetic manifestations commonly lead to nocturnal distress and sleep impairment, which significantly impact quality of life. In PD patients, these nocturnal disturbances can reflect disease-related complications (e.g., nocturnal akinesia), primary sleep disorders (e.g., rapid eye movement behaviour disorder), or both, thus requiring different therapeutic approaches. Wearable technologies based on actigraphy and innovative sensors have been proposed as feasible solutions to identify and monitor the various types of abnormal nocturnal movements in PD. This narrative review addresses the topic of abnormal nocturnal movements in PD and discusses how wearable technologies could help identify and assess these disturbances. We first examine the pathophysiology of abnormal nocturnal movements and the main clinical and instrumental tools for the evaluation of these disturbances in PD. We then report and discuss findings from previous studies assessing nocturnal movements in PD using actigraphy and innovative wearable sensors. Finally, we discuss clinical and technical prospects supporting the use of wearable technologies for the evaluation of nocturnal movements.

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Ecological momentary assessment of outcomes in allergic rhinitis and chronic rhinosinusitis: A review

Schusteff¹,

Chervinko

Nyenhuis

et al. 2022

Int Forum Allergy Rhinol

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Background: Allergic rhinitis (AR) and chronic rhinosinusitis (CRS) rely on patient-reported symptoms and quality-of-life measures, which are subject to bias. Ecological momentary assessment (EMA) captures data in real time through repeated short surveys, thus reducing errors/biases. EMA's use in sinonasal conditions has not been well described, and the goal of this study was to examine the literature on EMA and AR/CRS. Methods: A literature review was performed using the following search terms: AR, CRS, and EMA. Inclusion criteria were the use of EMA reporting of sinonasal symptoms at more than one time point. Systematic reviews and non-full text articles were excluded. Population demographics, sinonasal disease, type of EMA platform used, type and severity of symptoms reported, medication use and symptom correlation with location/pollen/pollution were collected. Results: Eight studies met the inclusion criteria, and all focused on AR. All studies were conducted outside the United States in both children and adults. Seven studies used a smartphone application for reporting symptoms, and one used WeChat surveys. EMA data collection varied, with repetitive survey intervals determined either by patients (n = 6) or research team (n = 2). All studies reported sinonasal severity scores, while six reported additional symptoms (e.g., ocular, pulmonary, sleep, general health). Five collected self-reported allergy medication use. Seven studies correlated symptoms with location, pollen, or pollution. Conclusions: Few studies in AR and no studies in CRS assessed the use of EMA.EMA may provide a better understanding of the real-time relationship of environmental triggers with symptoms, in turn guiding treatment decisions.

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Temporal Associations between Sleep and Daytime Functioning in Parkinson’s Disease: A Smartphone-Based Ecological Momentary Assessment

Cited by 11 publications

References 31 publications

Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review

Shedding Light on Nocturnal Movements in Parkinson’s Disease: Evidence from Wearable Technologies

Ecological momentary assessment of outcomes in allergic rhinitis and chronic rhinosinusitis: A review

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