A wearable-enhanced fitness program for older adults, combining fitness trackers and gamification elements: the pilot study fMOOC@Home

Identifying Profiles of Digital Literacy Among Community-Dwelling Korean Older Adults: Latent Profile Analysis

BACKGROUND

The digital divide is apparent not only between older and younger generations but also within the older adult population itself. Identifying digital literacy profiles among older adults is crucial for developing targeted strategies to narrow this divide.

OBJECTIVE

This study aimed to identify profiles of digital literacy among community-dwelling older adults and to examine factors associated with these profiles.

METHODS

Data were collected from community-dwelling older adults in South Korea through a nationwide cross-sectional survey that assessed digital literacy and related factors. Digital literacy was evaluated across 3 domains: information and communication (9 items), content creation and management (4 items), and safety and security (9 items). Latent profile analysis was used to identify profiles of digital literacy among community-dwelling older adults, and multinomial logistic regression was used to identify predictors of profile membership.

RESULTS

A total of 1016 older adults completed structured questionnaires (average age 68, SD 6.5 years; 486/1016, 47.8% men). Three digital literacy profiles were identified (P<.001): "low level" (346/1016, 34.1%), "middle level" (374/1016, 36.8%), and "high level" (296/1016, 29.1%). With the "middle-level" digital literacy group as the reference group, older adult participants (odds ratio [OR] 1.11, 95% CI 1.07-1.15) with less than a middle school education (vs with a college degree or higher; OR 7.22, 95% CI 2.31-22.54), who needed help with one of the 10 instrumental daily activities (vs ≥2 activities; OR 3.06, 95% CI 1.11-8.40) and who did not engage in in-person social activities (OR 1.81, 95% CI 1.07-3.07), were more likely to be in the "low-level" group. Women were less likely to be in the "high-level" digital literacy group than men (OR 0.45, 95% CI 0.25-0.80). Participants with less than a college education were also less likely to be in the "high-level" group, with those having less than a middle school education showing the lowest OR (OR 0.17, 95% CI 0.07-0.41). Those who had never worked (OR 0.23, 95% CI 0.06-0.90) and those not engaging in regular physical exercise (OR 0.58, 95% CI 0.40-0.84) were also less likely to be in the "high-level" digital literacy group. Participants with greater social support were more likely to be in the "high-level" digital literacy group (OR 1.70, 95% CI 1.22-2.37).

CONCLUSIONS

These findings underscore the characteristics linked to lower digital literacy and suggest a tailored approach to meet the needs of diverse groups of older adults in a digitalizing society. To promote digital literacy among older adults, potential strategies include improving access to and guidance for using digital devices, specifically designed for this demographic, as well as promoting social support and encouraging participation in social activities.

Acceptability Assessment of an Executive Function Training Game FISHERMAN for Older Adults

Objective: In recent years, an increasing number of gamification tools have been developed for older adults; however, few studies have explored the acceptability of these tools after initial use and sustained use in older adults. In the current study, we focus on "FISHERMAN," an executive function training game containing a cognitive game and an exergame, with the aim of investigating and comparing the acceptability of both versions of "FISHERMAN" after initial use and 3 months of sustained use in older adults. Materials and Methods: Seventy-six older adults were randomly assigned to the cognitive game training group or the exergame training group. Participants completed two 1-hour sessions per week for 12 weeks. Acceptability was evaluated through a validated, 7-point, self-rating, Interactive Technology Art Installation Technology Acceptance Model Questionnaire after the first and last training sessions, with higher ratings representing higher acceptability. The questionnaire included 22 items and 9 acceptability dimensions: usage behavior, intention to use, perceived usefulness, perceived ease of use, perceived playfulness, subjective norm, image, output quality, and result demonstrability. Descriptive statistics were conducted to evaluate acceptability after initial and sustained use. Two-way (time: initial use and sustained use; group: cognitive game group and exergame group) repeated ANOVAs were conducted to investigate the differences in acceptability. Post hoc, within-group, paired-sample t test analyses were performed to evaluate changes in game acceptability for each group over time. Results: After initial use and 3 months of sustained use, the average scores for overall acceptability and individual dimensions exceeded 5.5 of 7 points in both groups. The two groups presented different changes from initial use to sustained use. The overall acceptability, usage behavior, perceived usefulness, and perceived ease of use were significantly improved after training within the cognitive game group, while perceived playfulness was significantly reduced within the exergame group. Conclusions: The current study provided preliminary evidence that older adults had high acceptability for both the cognitive game and exergame versions of "FISHERMAN." After sustained use, acceptability of the cognitive game increased and acceptability of the exergame decreased, highlighting the importance of assessing game acceptability after initial and sustained use.

Smart health technologies used to support physical activity and nutritional intake in fall prevention among older adults: A scoping review

BACKGROUND

Falls are the second leading cause of accidental injury deaths globally. Older age is a key risk factors for falls. Besides older age, physical inactivity and malnutrition are identified risk factors for falls. Smart health technologies might offer a sustainable solution to prevent falls by supporting physical activity and nutritional status.

OBJECTIVE

The aim is to identify, describe, and synthesize knowledge, and identify knowledge gaps on the use of existing smart health technologies to support health behaviour in relation to physical activity and nutrition, among older (65+) in risk of falling.

METHODS

A scoping review was conducted following the PRISMA-ScR. Searches were carried out in PubMed, Scopus, and Embase using search strings on the themes; smart health technology, physical activity, nutrition, behaviour, falls and older. Identified literature was screened. Data from the included studies was extracted and synthesized.

RESULTS

2948 studies were obtained through searches. 18 studies were included. Various smart health technologies are used for fall prevention to support physical activity among older, including software and applications for smart phones, TV, and tablet. Three gaps were identified: use of smart health technologies to support nutrition in fall prevention. Inclusion of relevant stakeholders and fall prevention in low-and middle-income countries.

CONCLUSIONS

Smart health technology can offer sustainable and cost-effective fall prevention in the future. More knowledge is needed on the use of smart health technologies to support nutritional status for fall prevention, and studies involving older with physical and cognitive conditions, and studies on measures for fall prevention in low- and middle-income countries is needed.

The combined effect of motivational interviewing and wearable fitness trackers on motivation and physical activity in inactive adults: A randomized controlled trial

Despite overwhelming adoption of wearable fitness trackers (WFT), it is unclear if they affect physical activity (PA) engagement or PA motivation. We hypothesized that combining a WFT with an effective intervention, motivational interviewing (MI), would positively influence both motivation and PA. A 12-week randomized controlled trial was conducted in 40 adults who did not meet PA recommendations. The four conditions were: a PA education (Educational control, n = 10), a WFT (WFT, n = 10), bi-weekly MI sessions (MI, n = 10), or both interventions (WFT+, n = 10). Motivation and PA were measured through an online survey and actigraphy pre- and post-intervention. Both the WFT+ and MI groups improved autonomous forms and decreased controlled forms of motivation. They also had higher basic psychological needs scores when compared to the Education group post-intervention. We detected no changes in PA. High autonomous motivation at baseline predicted higher post-intervention PA in the WFT+ group but predicted lower post-intervention PA in the WFT group. Results suggests that MI alone or with a WFT can improve basic psychological needs and autonomous forms of motivation for PA, but not PA participation. Individual differences in motivation at baseline may moderate the effect of a WFT on PA. This study was registered at clinicaltrials.gov (NCT490014).

The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review

BACKGROUND

It is well known that regular physical exercise has associated benefits; yet, participation remains suboptimal. Mobile health (mHealth) has become an indispensable medium to deliver behavior change interventions, and there is a growing interest in the gamification apps in mHealth to promote physical activity (PA) participation. Gamification could use game design elements (such as points, leaderboards, and progress bars), and it has the potential to increase motivation for PA and engagement. However, mHealth-based gamification interventions are still emerging, and little is known about the application status and efficacy of such interventions.

OBJECTIVE

This systematic review aims to investigate gamification apps in mHealth for improving PA levels and simultaneously summarize the impact of gamification interventions on PA participation.

METHODS

We searched PubMed, Scopus, Web of Science, Embase, CINAHL (EBSCO host), and IEEE Xplore from inception to December 20, 2020. Original empirical research exploring the effects of gamification interventions on PA participation was included. The papers described at least one outcome regarding exercise or PA participation, which could be subjective self-report or objective indicator measurement. Of note, we excluded studies about serious games or full-fledged games.

RESULTS

Of 2944 studies identified from the database search, 50 (1.69%) were included, and the information was synthesized. The review revealed that gamification of PA had been applied to various population groups and broadly distributed among young people but less distributed among older adults and patients with a disease. Most of the studies (30/50, 60%) combined gamification with wearable devices to improve PA behavior change, and 50% (25/50) of the studies used theories or principles for designing gamified PA interventions. The most frequently used game elements were goal-setting, followed by progress bars, rewards, points, and feedback. This review demonstrated that gamification interventions could increase PA participation; however, the results were mixed, and modest changes were attained, which could be attributed to the heterogeneity across studies.

CONCLUSIONS

Overall, this study provides an overview of the existing empirical research in PA gamification interventions and provides evidence for the efficacy of gamification in enhancing PA participation. High-quality empirical studies are needed in the future to assess the efficacy of a combination of gamification and wearable activity devices to promote PA, and further exploration is needed to investigate the optimal implementation of these features of game elements and theories to enhance PA participation.

Effects of Motivational Interviewing and Wearable Fitness Trackers on Motivation and Physical Activity: A Systematic Review

OBJECTIVE

To systematically review the impacts of Wearable Fitness Trackers (WFTs), Motivational Interviewing (MI), and Self Determination Theory (SDT)-based interventions on physical activity (PA) and motivation for PA.

DATA SOURCE

Manuscripts published between 2008 and 2018 in PubMed, Web of Science, CABAbstracts, and SPORTDiscus database were reviewed.

STUDY INCLUSION AND EXCLUSION CRITERIA

Inclusion criteria were original pilot studies, randomized controlled trials (RCT), cross-sectional studies, qualitative assessments, prospective cohort studies, longitudinal observational studies, and pretest posttest designs published in peer-reviewed journals.

DATA EXTRACTION

Studies were evaluated by 2 independent researchers for inclusion.

DATA SYNTHESIS

Extracted data were synthesized in a tabular format and narrative summary.

RESULTS

Twenty-six studies met final inclusion criteria, 10 addressed WFT use and PA behavior, 4 investigated WFT use and its association with motivation for PA, and 10 examined SDT and/or MI and their effect on motivation for PA and/or PA behavior. Finally, 2 studies addressed SDT-based MI, WFT use, and the combined effect on PA behavior.

CONCLUSIONS

While SDT-based interventions and MI positively impact motivation for PA and PA behavior, WFTs revealed mixed results. Wearable Fitness Trackers prove effective among individuals not currently meeting PA guidelines but have little impact on other populations. Self Determination Theory, MI, and WFTs use provides a promising combination of interventions to increase PA among sedentary individuals, though research is limited.

Gamification for Older Adults: A Systematic Literature Review

BACKGROUND AND OBJECTIVES

During past years, gamification has become a major trend in technology, and promising results of its effectiveness have been reported. However, prior research has predominantly focused on examining the effects of gamification among young adults, while other demographic groups such as older adults have received less attention. In this review, we synthesize existing scholarly work on the impact of gamification for older adults.

RESEARCH DESIGN AND METHODS

A systematic search was conducted using 4 academic databases from inception through January 2019. A rigorous selection process was followed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

RESULTS

Twelve empirical peer-reviewed studies written in English, focusing on older adults aged ≥55, including a gameful intervention, and assessing subjective or objective outcomes were identified. Eleven of the 12 studies were conducted in the health domain. Randomized controlled study settings were reported in 8 studies. Positively oriented results were reported in 10 of 12 studies on visual attention rehabilitation, diabetes control, increasing positive emotions for patients with subthreshold depression, cognitive training and memory tests, engagement in training program, perceptions of self-efficacy, motivation and positive emotions of social gameplay conditions, increased physical activity and balancing ability, and increased learning performance and autonomy experiences. The results are, however, mostly weak indications of positive effects.

DISCUSSION AND IMPLICATIONS

Overall, the studies on gameful interventions for older adults suggest that senior users may benefit from gamification and game-based interventions, especially in the health domain. However, due to methodological shortcomings and limited amount of research available, further work in the area is called for.