Wearable Activity Trackers: A Structural Investigation into Acceptance and Goal Achievements of Generation Z

Author(s):  
Aakash Kamble ◽  
Supriya Desai ◽  
Nayna Abhang
Author(s):  
Amy V. Creaser ◽  
Stacy A. Clemes ◽  
Silvia Costa ◽  
Jennifer Hall ◽  
Nicola D. Ridgers ◽  
...  

Wearable activity trackers (wearables) embed numerous behaviour change techniques (BCTs) that have previously been shown to increase adult physical activity (PA). With few children and adolescents achieving PA guidelines, it is crucial to explore ways to increase their PA. This systematic review examined the acceptability, feasibility, and effectiveness of wearables and their potential mechanisms of action for increasing PA in 5 to 19-year-olds. A systematic search of six databases was conducted, including data from the start date of each database to December 2019 (PROSPERO registration: CRD42020164506). Thirty-three studies were included. Most studies (70%) included only adolescents (10 to 19 years). There was some—but largely mixed—evidence that wearables increase steps and moderate-to-vigorous-intensity PA and reduce sedentary behaviour. There were no apparent differences in effectiveness based on the number of BCTs used and between studies using a wearable alone or as part of a multi-component intervention. Qualitative findings suggested wearables increased motivation to be physically active via self-monitoring, goal setting, feedback, and competition. However, children and adolescents reported technical difficulties and a novelty effect when using wearables, which may impact wearables’ long-term use. More rigorous and long-term studies investigating the acceptability, feasibility, and effectiveness of wearables in 5 to 19-year-olds are warranted.


2021 ◽  
Author(s):  
Philippa Morgan-Jones ◽  
Annabel Jones ◽  
Laura Mills ◽  
Philip Pallmann ◽  
Cheney JG Drew ◽  
...  

2021 ◽  
Author(s):  
Zeming Li ◽  
Xinying Sun ◽  
Darui Gao ◽  
Lishi Fan ◽  
Ping Chen

BACKGROUND In China, for most diabetic patients, wearable activity trackers are an innovative product that has not yet been generally accepted and used. Many studies have proved personality traits to affect patients' self-management behavior with chronic diseases, the willingness to adopt medical services, and willingness to use mobile healthcare equipment. OBJECTIVE This study aimed to investigate the influence of personality traits of type 2 diabetes patients on the use intention of the intelligent wearable device -- wearable activity trackers METHODS A self-designed questionnaire and Chinese Big Five Personality Inventory brief version (CBF-PI-B) were used to investigate type 2 diabetes mellitus (T2DM) patients from 22 community health service stations affiliated to 4 community health service centers in Tongzhou District and Shunyi District of Beijing. RESULTS A total of 728 cases were included in this study. Monofactor analysis indicated differences between patients with different genders in neuroticism, individual innovation, and behavioral intention, differences between patients with different ages in neuroticism, openness, individual innovation, and privacy concerns, differences between patients with different degree of education in openness, extraversion, perceived ease of use, the individual innovation and social image, and differences between patients with different income levels in openness, extraversion, perceived ease of use and individual innovation. The structural equation showed that perceived ease of use, perceived usefulness, social image, and privacy concern had direct effects on behavioral intention (β=0.158, 0.223, 0.151, -0.657). Neuroticism had a positive impact on social image and privacy concerns (β=0.144, 0.154). Conscientiousness and openness had a positive influence on perceived ease of use (β=0.147, 0.142). Agreeableness showed negative impacts on both perceived ease of use and privacy concerns (β=-0.108, -0.251). Openness and extroversion both had a positive impact on individual innovation (β=0.149, 0.180) while openness generated a positive influence on social image (β=0.189). CONCLUSIONS Different personality traits had influences on individual innovation, privacy concerns and social image, and indirectly affect patients’ intention to use wearable activity trackers. Therefore, personalized guidance and health education could be carried out according to different personality traits when using intelligent wearable devices in the intervention of patients with type 2 diabetes.


2020 ◽  
Vol 34 (7) ◽  
pp. 762-769
Author(s):  
Ciarán P. Friel ◽  
Carol Ewing Garber

Background: There has been an explosion in the use of wearable activity trackers (WATs), but we do not fully understand who wears them and why. This study’s purpose was to describe the characteristics of WAT users and to compare current and former users. Materials and Methods: A variety of internet-based resources (eg, Craigslist, Facebook) were used to recruit current and former WAT users. Respondents completed a web-based survey, where they provided information on sociodemographic characteristics, health, physical activity behavior, and about their WAT use. Results: Of the 2826 respondents who gave informed consent, 70.8% (n = 2002) met inclusion criteria for this analysis. Respondents ranged from 18 to 81 years old (mean 32.9 ± 12.2 standard deviation) with 73.8% women. Most were current WAT users (68.7%), and the average length of WAT use overall was 9.3 ± 9.7 months. On average, current users wore the device for 3.7 months longer than former users. Compared to current users, former users had a lower body mass index (1.2 kg/m2 less), reported fewer medical conditions, shared data from their device less often, and received the device as a gift more frequently. Conclusions: Current and former users varied in their reasons for using a WAT and how they used their device. Differences identified between these groups support further exploration of associations between WAT users’ profiles and their physical activity behavior.


2020 ◽  
Vol 78 (4) ◽  
pp. 1707-1719
Author(s):  
Biancamaria Guarnieri ◽  
Michelangelo Maestri ◽  
Federico Cucchiara ◽  
Annalisa Lo Gerfo ◽  
Alessandro Schirru ◽  
...  

Background: Circadian and sleep disturbances are associated with increased risk of mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Wearable activity trackers could provide a new approach in diagnosis and prevention. Objective: To evaluate sleep and circadian rhythm parameters, through wearable activity trackers, in MCI and AD patients as compared to controls, focusing on sex dissimilarities. Methods: Based on minute level data from consumer wearable devices, we analyzed actigraphic sleep parameters by applying an electromedical type I registered algorithm, and the corresponding circadian variables in 158 subjects: 86 females and 72 males (42 AD, 28 MCI, and 88 controls). Moreover, we used a confusion-matrix chart method to assess accuracy, precision, sensitivity, and specificity of two decision-tree models based on actigraphic data in predicting disease or health status. Results: Wake after sleep onset (WASO) was higher (p < 0.001) and sleep efficiency (SE) lower (p = 0.003) in MCI, and Sleep Regularity Index (SRI) was lower in AD patients compared to controls (p = 0.004). SE was lower in male AD compared to female AD (p = 0.038) and SRI lower in male AD compared to male controls (p = 0.008), male MCI (p = 0.047), but also female AD subjects (p = 0.046). Mesor was significantly lower in males in the overall population. Age reduced the dissimilarities for WASO and SE but demonstrated sex differences for amplitude (p = 0.009) in the overall population, controls (p = 0.005), and AD subjects (p = 0.034). The confusion-matrices showed good predictive power of actigraphic data. Conclusion: Actigraphic data could help identify disease or health status. Sex (possibly gender) differences could impact on neurodegeneration and disease trajectory with potential clinical applications.


2018 ◽  
Vol 50 (5S) ◽  
pp. 296
Author(s):  
Diana Dorn ◽  
Ronald Gangnon ◽  
Jessica Gorzelitz ◽  
David Bell ◽  
Kelli Koltyn ◽  
...  

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Kana Okano ◽  
Jakub R. Kaczmarzyk ◽  
Neha Dave ◽  
John D. E. Gabrieli ◽  
Jeffrey C. Grossman

Abstract Although numerous survey studies have reported connections between sleep and cognitive function, there remains a lack of quantitative data using objective measures to directly assess the association between sleep and academic performance. In this study, wearable activity trackers were distributed to 100 students in an introductory college chemistry class (88 of whom completed the study), allowing for multiple sleep measures to be correlated with in-class performance on quizzes and midterm examinations. Overall, better quality, longer duration, and greater consistency of sleep correlated with better grades. However, there was no relation between sleep measures on the single night before a test and test performance; instead, sleep duration and quality for the month and the week before a test correlated with better grades. Sleep measures accounted for nearly 25% of the variance in academic performance. These findings provide quantitative, objective evidence that better quality, longer duration, and greater consistency of sleep are strongly associated with better academic performance in college. Gender differences are discussed.


Pain Medicine ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. e68-e78 ◽  
Author(s):  
Mary R Janevic ◽  
Varick Shute ◽  
Susan L Murphy ◽  
John D Piette

Abstract Background Wearable activity trackers may facilitate walking for chronic pain management. Objective We assessed the acceptability of a commercially available tracker and three alternative modes of reporting daily steps among older adults in a low-income, urban community. We examined whether using the tracker (Fitbit ZipTM) was associated with improvements in functioning and activity. Design Randomized controlled pilot and feasibility trial. Subjects Fifty-one African American adults in Detroit, Michigan, aged 60 to 85 years, with chronic musculoskeletal pain (28 in the intervention group, 23 controls). Methods Participants completed telephone surveys at baseline and eight weeks. Intervention participants wore trackers for six weeks, alternately reporting daily step counts via text messages, automated telephone calls, and syncing (two weeks each). We used multimethods to assess satisfaction with trackers and reporting modalities. Adherence was indicated by the proportion of expected days on which valid step counts were reported. We assessed changes in pain interference, physical function, social participation, walking frequency, and walking duration. Results More than 90% of participants rated trackers as easy to use, but some had technical or dexterity-related difficulties. Text reporting yielded 79% reporting adherence vs 69% each for automated calls and syncing. Intervention participants did not show greater improvement in functioning or walking than controls. Conclusions With appropriate support, wearable activity trackers and mHealth reporting for chronic pain self-care are feasible for use by vulnerable older adults. Future research should test whether the effects of trackers on pain-related outcomes can be enhanced by incorporating behavior change strategies and training in evidence-based cognitive-behavioral techniques.


Sign in / Sign up

Export Citation Format

Share Document