Sedentary Behavior and the Use of Wearable Technology: An Editorial

O'Keeffe, N.; Scheid, Jennifer L.; West, Sarah

doi:10.3390/ijerph17124181

Cited by 9 publications

(5 citation statements)

References 30 publications

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“…A key observation is that 1 in 4 individuals with CVD who owned a wearable device did not use their device in the preceding month. This suggests that wearable device ownership is insufficient to drive their potential health benefits . Among wearable device users, social incentive–based gamification strategies that have been proposed to promote use of the devices likely require empirical evaluation for their impact on behavioral patterns.…”

Section: Discussionmentioning

confidence: 99%

“…This suggests that wearable device ownership is insufficient to drive their potential health benefits. 37 Among wearable device users, social incentive–based gamification strategies that have been proposed to promote use of the devices 2 , 24 , 30 , 38 likely require empirical evaluation for their impact on behavioral patterns. Moreover, the infrequent use of the devices among owners with CVD also has implications for future studies, as compliance-promoting initiatives would be essential to integrate into interventions using wearable devices.…”

Section: Discussionmentioning

confidence: 99%

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Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020

et al. 2023

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ImportanceWearable devices may be able to improve cardiovascular health, but the current adoption of these devices could be skewed in ways that could exacerbate disparities.ObjectiveTo assess sociodemographic patterns of use of wearable devices among adults with or at risk for cardiovascular disease (CVD) in the US population in 2019 to 2020.Design, Setting, and ParticipantsThis population-based cross-sectional study included a nationally representative sample of the US adults from the Health Information National Trends Survey (HINTS). Data were analyzed from June 1 to November 15, 2022.ExposuresSelf-reported CVD (history of heart attack, angina, or congestive heart failure) and CVD risk factors (≥1 risk factor among hypertension, diabetes, obesity, or cigarette smoking).Main Outcomes and MeasuresSelf-reported access to wearable devices, frequency of use, and willingness to share health data with clinicians (referred to as health care providers in the survey).ResultsOf the overall 9303 HINTS participants representing 247.3 million US adults (mean [SD] age, 48.8 [17.9] years; 51% [95% CI, 49%-53%] women), 933 (10.0%) representing 20.3 million US adults had CVD (mean [SD] age, 62.2 [17.0] years; 43% [95% CI, 37%-49%] women), and 5185 (55.7%) representing 134.9 million US adults were at risk for CVD (mean [SD] age, 51.4 [16.9] years; 43% [95% CI, 37%-49%] women). In nationally weighted assessments, an estimated 3.6 million US adults with CVD (18% [95% CI, 14%-23%]) and 34.5 million at risk for CVD (26% [95% CI, 24%-28%]) used wearable devices compared with an estimated 29% (95% CI, 27%-30%) of the overall US adult population. After accounting for differences in demographic characteristics, cardiovascular risk factor profile, and socioeconomic features, older age (odds ratio [OR], 0.35 [95% CI, 0.26-0.48]), lower educational attainment (OR, 0.35 [95% CI, 0.24-0.52]), and lower household income (OR, 0.42 [95% CI, 0.29-0.60]) were independently associated with lower use of wearable devices in US adults at risk for CVD. Among wearable device users, a smaller proportion of adults with CVD reported using wearable devices every day (38% [95% CI, 26%-50%]) compared with overall (49% [95% CI, 45%-53%]) and at-risk (48% [95% CI, 43%-53%]) populations. Among wearable device users, an estimated 83% (95% CI, 70%-92%) of US adults with CVD and 81% (95% CI, 76%-85%) at risk for CVD favored sharing wearable device data with their clinicians to improve care.Conclusions and RelevanceAmong individuals with or at risk for CVD, fewer than 1 in 4 use wearable devices, with only half of those reporting consistent daily use. As wearable devices emerge as tools that can improve cardiovascular health, the current use patterns could exacerbate disparities unless there are strategies to ensure equitable adoption.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020

et al. 2023

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“…Using accessible language (e.g., “moving every hour”) could lower the initial perceived effort involved—reducing cognitive costs to initiating behavior as well as improving capabilities. Indeed, if people feel their goals are unachievable, it can negatively impact their motivation to continue (Nuss & Li, 2021; O’Keeffe et al, 2020). People may also respond to plans that can be updated over time to align with changes in their motivational needs.…”

Section: Discussionmentioning

confidence: 99%

Planning engagement with web resources to improve diet quality and break up sedentary time for home-working employees: A mixed methods study.

Holford,

Tognon,

Gladwell

et al. 2023

Journal of Occupational Health Psychology

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As home working becomes more common, employers may struggle to provide health promotion interventions that can successfully bridge the gap between employees' intentions to engage in healthier behaviors and actual action. Based on past evidence that action planning can successfully encourage the adoption of healthier behaviors, this mixed-methods study of a web-based self-help intervention incorporated a randomized planning trial that included quantitative measures of engagement and follow-up qualitative interviews with a subsample of participants. Participants either (a) selected a movement plan for incorporating a series of 2-min exercise videos into their work week to break up sedentary time and a balanced meal plan with recipe cards for a week's lunches and dinners or (b) received access to these resources without a plan. Selecting a movement plan was more effective at increasing engagement with the web resources compared to the no-plan condition. In the follow-up interviews, participants indicated that the plan helped to remind participants to engage with the resources and made it simpler for them to follow the guidance for exercises and meals. Ease of use and being able to fit exercises and meals around work tasks were key factors that facilitated uptake of the resources, while lack of time and worries about how colleagues would perceive them taking breaks to use the resources were barriers to uptake. Participants' self-efficacy was associated with general resource use but not plan adherence. Overall, including plans with online self-help resources could enhance their uptake.

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“…By real-time visualizing, measuring and addressing sedentary behavior and physical activity bouts, wearables continue to increase in popularity and accessibility to the extensive data at the population level [11]. Difficulties in the raw data collection and transformation based on 'phantom' algorithms make commercial fitness trackers less reliable and valid than research-based accelerometers [12]. Despite its moderate accuracy, consumer-based wearables continue to be widely used to encourage physical activity and reduce sedentary behavior through behavior change techniques such as goal setting, prompts, cues, self-efficacy and social support [13].…”

Section: Wearables In Promoting Physical Activity and Reducing Sedentary Behaviormentioning

confidence: 99%

“Wearables on vogue”: a scoping review on wearables on physical activity and sedentary behavior during COVID-19 pandemic

Panicker

Chandrasekaran

2022

Sport Sci Health

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Background Wearables are intriguing way to promote physical activity and reduce sedentary behavior in populations with and without chronic diseases. However, the contemporary evidence demonstrating the effectiveness of wearables on physical health during the COVID-19 pandemic has yet to be explored. Aim The present review aims to provide the readers with a broader knowledge of the impact of wearables on physical health during the pandemic. Methods Five electronic databases (Web of Science, Scopus, Ovid Medline, Cumulative Index to Nursing and Allied Health Literature and Embase) were searched. The eligibility criteria of the studies to be included were based on PICOT criteria: population (adults, children and elderly), intervention (wearable, smartphones), comparison (any behavioral intervention), outcome (physical activity or sedentary behavior levels) and time frame (between December 1st, 2019 and November 19th, 2021). The present scoping review was framed as per the guidelines of the Arksey and O’Malley framework. Results Of 469 citations initially screened, 17 articles were deemed eligible for inclusion and potential scoping was done. Smartphone-based applications with inbuilt accelerometers were commonly used, while a few studies employed smart bands, smartwatches for physical health monitoring. Most of the studies observed the increased use of wearables in healthy adults followed by elderly, children and pregnant women. Considerable reduction (almost—50%) in physical activity during the pandemic: daily step count (− 2812 steps/min), standing (− 32.7%) and walking (− 52.2%) time was found. Conclusion Wearables appears to be impending means of improving physical activity and reducing sedentary behavior remotely during the COVID-19 pandemic.

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Sedentary Behavior and the Use of Wearable Technology: An Editorial

Cited by 9 publications

References 30 publications

Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020

Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020

Planning engagement with web resources to improve diet quality and break up sedentary time for home-working employees: A mixed methods study.

“Wearables on vogue”: a scoping review on wearables on physical activity and sedentary behavior during COVID-19 pandemic

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