Validity of wearable activity monitors for tracking steps and estimating energy expenditure during a graded maximal treadmill test

Kendall, Bradley J.; Bellovary, Bryanne; Gothe, Neha P.

doi:10.1080/02640414.2018.1481723

Cited by 25 publications

(18 citation statements)

References 35 publications

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“…A total of 36 studies (312 comparisons) examined wearable device energy expenditure measurements compared with reference standard criterion measures, including direct calorimetry [ 86 , 104 ] and indirect calorimetry [ 20 , 21 , 29 - 31 , 38 , 39 , 41 - 43 , 53 , 55 , 63 , 66 , 73 , 85 , 87 , 93 , 95 , 97 , 103 , 105 , 116 , 117 , 129 , 130 , 142 , 143 , 146 , 148 , 159 , 165 , 166 , 177 ], in controlled settings. Of these, 35 studies recruited healthy adults (mean age 27.2 years, SD 7.1 years), and one study recruited adults living with cardiovascular disease (mean age 64.2 years, SD 2.3 years).…”

Section: Resultsmentioning

confidence: 99%

Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review

Fuller

Colwell

Low

et al. 2020

JMIR Mhealth Uhealth

373

278

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Background Consumer-wearable activity trackers are small electronic devices that record fitness and health-related measures. Objective The purpose of this systematic review was to examine the validity and reliability of commercial wearables in measuring step count, heart rate, and energy expenditure. Methods We identified devices to be included in the review. Database searches were conducted in PubMed, Embase, and SPORTDiscus, and only articles published in the English language up to May 2019 were considered. Studies were excluded if they did not identify the device used and if they did not examine the validity or reliability of the device. Studies involving the general population and all special populations were included. We operationalized validity as criterion validity (as compared with other measures) and construct validity (degree to which the device is measuring what it claims). Reliability measures focused on intradevice and interdevice reliability. Results We included 158 publications examining nine different commercial wearable device brands. Fitbit was by far the most studied brand. In laboratory-based settings, Fitbit, Apple Watch, and Samsung appeared to measure steps accurately. Heart rate measurement was more variable, with Apple Watch and Garmin being the most accurate and Fitbit tending toward underestimation. For energy expenditure, no brand was accurate. We also examined validity between devices within a specific brand. Conclusions Commercial wearable devices are accurate for measuring steps and heart rate in laboratory-based settings, but this varies by the manufacturer and device type. Devices are constantly being upgraded and redesigned to new models, suggesting the need for more current reviews and research.

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Section: Resultsmentioning

confidence: 99%

Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review

Fuller

Colwell

Low

et al. 2020

JMIR Mhealth Uhealth

373

278

View full text Add to dashboard Cite

show abstract

“…Step counts per day were averaged over the past 7 days for analyses. Accuracy for this device has been established for step counts in treadmill testing (Kendall, Bellovary & Gothe, ). This device was chosen for its potential to increase motivation and provide immediate feedback for participants during the intervention phase of the clinical trial.…”

Section: Methodsmentioning

confidence: 99%

Fatigue management for adults living with HIV: A randomized controlled pilot study

Lee

Jong

2019

Research in Nursing & Health

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Fatigue is a prevalent symptom for adults living with HIV infection. The purpose of this randomized clinical trial was to pilot test a behavioral-educational intervention to reduce fatigue. The intervention included education about daytime behaviors as well as nighttime sleep behaviors. Participants were HIV-positive, between 45 and 75 years old, unemployed, and experiencing fatigue. They were randomized to intervention (n = 25) or control (n = 26) after obtaining baseline measures, administered the intervention or attention control, and followed with monthly assessments for 3 months. Primary outcome measures included the Fatigue Severity Scale (FSS) and fatigue symptom burden using the four-dimension structure of the Memorial Symptom Assessment Scale that includes occurrence, frequency, severity, and distress of a symptom. Other measures included the International Physical Activity Questionnaire, step counts with a Fitbit Flex, Hospital Anxiety and Depression Scale, Pittsburgh Sleep Quality Index, and Sleep Behavior Rating Scale. Compared with attention controls, the intervention group had significantly (p < .05) lower FSS scores and fatigue symptom burden over time, particularly in the frequency dimension. Secondary outcomes for reducing daytime naps and improving sleep quality were also significant (p < .05). This intervention, focused on both daytime and nighttime behaviors, demonstrated promising effects for reducing fatigue among adults living with HIV. Results provide useful direction for larger clinical trials to reduce fatigue in adults living with other types of chronic illness. K E Y W O R D S AIDS, chronic illness, fatigue, randomized controlled trials, sleep/rest, symptom management

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“…Accuracy was established with treadmill testing. 20 They were instructed to wear the device for the next seven days and informed that it was their personal device to keep.…”

Section: Daytime Measuresmentioning

confidence: 99%

Daytime and nighttime correlates of fatigue and lack of energy in adults living with HIV

2019

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Objective To describe correlates of fatigue and lack of energy symptoms in adults living with HIV. Methods Adults living with HIV were recruited if they were ≥45 years old, unemployed, and reported either fatigue or lack of energy in the past week. HIV-associated correlates included CD4 cell count, viral load, and hemoglobin. Daytime correlates included physical activity, daytime sleepiness, napping behavior, and symptoms of anxiety and depression. Nighttime correlates included use of sleep medication, sleep duration, and sleep quality. Outcomes included physical and cognitive function. Results Most (70%) of the 53 participants were male. The mean age was 56.7 ± 6.7 years and participants had been living with HIV for a mean of 22 ± 6.4 years. Controlling for all other factors, African Americans reported less fatigue and more energy than other racial/ethnic groups. Lack of energy was associated with daytime napping and cognitive function. Fatigue was associated with shorter nighttime sleep duration, anxiety, and both physical and cognitive function. Discussion Findings highlight potential differences between lack of energy and fatigue that could influence intervention outcomes. Avoiding daytime naps and encouraging longer nighttime sleep may improve fatigue as well as physical and cognitive function in this chronic illness population.

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Validity of wearable activity monitors for tracking steps and estimating energy expenditure during a graded maximal treadmill test

Cited by 25 publications

References 35 publications

Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review

Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart Rate: Systematic Review

Fatigue management for adults living with HIV: A randomized controlled pilot study

Daytime and nighttime correlates of fatigue and lack of energy in adults living with HIV

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