The impact of exercise motives on adolescents’ sustained use of wearable technology

Deranek, Kimberly; Hewitt, Barbara; Gudi, Arvind; McLeod, Alexander

doi:10.1080/0144929x.2020.1720295

Cited by 16 publications

(21 citation statements)

References 55 publications

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“…Similar to previous findings, we found that enjoyment (intrinsic motivation), a more autonomous form of behavioral regulation, was found to play a role in reporting WAT use when looking at clusters of motivation [ 57 ]. However, contrary to previous work, we did not find that external pressure from others to exercise was associated with WAT use [ 58 ].…”

Section: Discussioncontrasting

confidence: 99%

Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey

Torre¹,

Spruijt‐Metz²,

Farias³

2021

JMIR Cancer

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Background Cancer survivors who meet physical activity (PA) recommendations (≥150 minutes of moderate-to-vigorous physical activity [MVPA] per week) experience better health outcomes. With the growing availability of wearable activity trackers (WATs), it may be easier to track PA. However, it is unknown what motivates survivors to use these devices. Objective The aim of this study is to investigate the associations among motivations for exercise, previous WAT use for tracking a health goal or activity, and meeting the recommended amount of PA among a cohort of cancer survivors. Methods Data on WAT users who reported having a previous cancer diagnosis were analyzed from the National Cancer Institute’s Health Information National Trends Survey 5 Cycle 3. All survivors with complete information on demographics, exercise motivations (internal guilt, external pressure, physical appearance, and exercise enjoyment), previous WAT use (yes or no), and minutes of MVPA per week (N=608) were included. Multivariate logistic regression models were used to test these associations. A separate cluster analysis was conducted to identify the profiles of exercise motivation that were associated with reporting WAT use. Results The mean age of the cohort was 66.9 years (SD 12.1). The majority were non-Hispanic White (473/608, 78.8%) and female (322/608, 54.9%), and skin cancer was the most commonly reported diagnosed cancer (154/608, 27.8%). Survivors who reported using WATs to track a health goal or activity were 1.6 times more likely to meet MVPA recommendations than those who did not use WATs (odds ratio [OR] 1.65, 95% CI 1.03-2.65; P=.04). When exercise motivations were assessed independently, survivors who reported not feeling any internal guilt as an exercise motivation were 73% less likely to report having used a WAT than those who felt any internal guilt (OR 0.27, 95% CI 0.14-0.54; P<.001). A total of 3 distinct motivational profiles emerged from the cluster analysis. WAT users had an increased probability of membership in profile 3, which was characterized as being strongly motivated to exercise by internal guilt, physical appearance, and exercise enjoyment (OR 4.5, 95% CI 2.1-9.7; P<.001). Conclusions Among this cohort, survivors who reported using WATs to track a health goal or activity were significantly more likely to report meeting PA recommendations. Survivors who reported feeling internal guilt as an exercise motivation were significantly more likely to report using WATs to track a health goal or activity. When examining clusters of motivation, survivors who reported previous WAT use were more likely to report being motivated to exercise by a mix of intrinsic and extrinsic motivations, including internal guilt, exercise enjoyment, and physical appearance. Given the health benefits of PA for cancer survivors, technology-focused interventions that use WATs and target exercise motivation may aid in cancer survivors meeting the level of recommended PA.

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Section: Discussioncontrasting

confidence: 99%

Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey

Torre¹,

Spruijt‐Metz²,

Farias³

2021

JMIR Cancer

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“…Out of the 22 studies selected, four wellbeing areas were identified: healthy eating (one study), 36 physical health (17 studies), [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53] mindfulness (one study) 54 and general wellbeing (three studies) [55][56][57] ; some studies combined these categories with other areas such as sleep and social activation. 39,45,46,48,49,52 The types of studies are shown in Table 2 together with their objectives and conclusions. Consistent with the selection criteria, all the studies analysed used apps for their interventions; six also included wearable trackers.…”

Section: General Overview Of Search Results and Included Studiesmentioning

confidence: 99%

“…Consistent with the selection criteria, all the studies analysed used apps for their interventions; six also included wearable trackers. 48,52 Eight out of 22 studies used custom designed apps for their interventions, 36,38,40,46,50,[55][56][57] while 14 used commercially available apps 37,39,[41][42][43][44][45][47][48][49][51][52][53][54] ; this has relevance in the context of understanding engagement as it allows comparing differences between both approaches.…”

Section: General Overview Of Search Results and Included Studiesmentioning

confidence: 99%

Understanding what we know so far about young people's engagement with wellbeing apps. A scoping review and narrative synthesis

et al. 2022

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Background Increased levels of wellbeing contribute to people being more productive, resilient, physically healthy and showing lower levels of mental illness. Using mobile apps to increase wellbeing in young people is becoming the method of choice. This study sought to critically appraise the current evidence base with regards to young people's (16–24 years of age) engagement with wellbeing apps. Methods A systematic review of the literature and narrative synthesis was conducted to investigate users’ characteristics and other potential engagement elements. A total of 11,245 titles, 160 abstracts and 68 full-text articles published between 2002 and 2021 were screened, of which 22 studies were included. Results Main themes/findings indicated that a user's engagement with wellbeing apps was dependant on the presence of strong identity elements, including motivation, mood and values; design elements such as meaningful rewards, short duration of studies and seamless automatic delivery with low contact with researchers; and being innovative and contextualised. The majority of the studies did not report outcomes by social determinants such as ethnicity, education and others. Conclusion This research reflects on the need to consider participants’ individuality when designing app mediated wellbeing interventions.

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“…According to GCT, values and behaviors of consumers in a generation cohort are largely shaped by the collective experiences during their formative years (Deranek et al, 2020). Previous research has adopted GCT to understand how the experiences formulated as a result of external eventssuch as social and economic developmentsduring the late adolescent years affect a common cohort's beliefs and behaviors (Gardiner et al, 2014;Ting et al, 2018).…”

Section: Generation Cohort Theorymentioning

confidence: 99%

Driving healthcare wearable technology adoption for Generation Z consumers in Hong Kong

Cheung

Leung

Chan

2020

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Purpose Young consumers have increasingly adopted wearable health-care technology to improve their well-being. Drawing on generation cohort theory (GCT) and the technology acceptance model (TAM), this study aims to illuminate the major factors that drive the adoption of health-care wearable technology products by Generation Z (Gen-Z) consumers in Hong Kong. Design/methodology/approach A self-administrated online survey was used to collect data from a sample of Gen-Z consumers in Hong Kong with experience in using health-care wearable technology. Data analysis was performed using partial least-squares-structural equation modeling to verify four hypotheses. Findings The results reveal that consumer innovativeness (CI) and electronic word-of-mouth referral (EWOM) are significant predictors of perceived credibility, perceived ease of use and perceived usefulness, which subsequently drive online engagement intention and adoption intention (AI). Practical implications This research provides practical guidance for marketers of health-care wearable technology products. In particular, CI and EWOM hold the key to young consumers’ product perceptions (and thereby their online engagement and AIs). Originality/value This research leverages the insights of GCT to enrich the TAM, specifically by including CI and EWOM as antecedents and online engagement as a consequence in the context of health-care wearable technology. The results of an empirical study enhance theoretical understanding of Gen-Z consumers’ perceptions and behavioral intentions toward health-care wearable technology. They also point to actionable recommendations for marketing this new technology to young consumers.

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The impact of exercise motives on adolescents’ sustained use of wearable technology

Cited by 16 publications

References 55 publications

Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey

Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey

Understanding what we know so far about young people's engagement with wellbeing apps. A scoping review and narrative synthesis

Driving healthcare wearable technology adoption for Generation Z consumers in Hong Kong

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