Objectives: Fear of falling is common among older adults and can increase fall-risk through premature activity restriction. exergames, an emerging tool in fall prevention, combine exercise with interactive and adaptive game elements. This review examines the extent to which exergame interventions reduce fear of falling among community-dwelling older adults. Method: Guided by the PRiSMA methodology, we reviewed peer-reviewed studies that were published in english between 2006 and 2019 and employed a comparative design to test the effect of exergames on fear of falling in community-dwelling older adults. Two reviewers screened the literature and extracted data on the exergame platform, participants, study design, and results. A modified PeDro scale was used to assess study quality. Disagreements were resolved through discussion with the third reviewer. Results: Our literature search resulted in 23 eligible studies on exergame interventions where fear of falling was the primary or secondary outcome. Most interventions (35%) occurred within hospitals and were delivered via a wii-based system (61%). Fear of falling was most commonly measured using the Falls efficacy Scale, the Activities-specific Balance Scale and their modified versions. A total of 15 of the 23 studies reported statistically significant changes in fear of falling. Quality assessment showed 10 studies to be rated as 'good. ' Conclusion: This review showed that exergame may have a positive effect in reducing fear of falling in community-dwelling older adults. The finding provides a direction for clinical practice in the research area of intervention on fear of falling in older adults.

Introduction. Falls occur in daily life when an activity results in a loss of balance that is too great to recover from. Our purpose in this study was to examine how fall risk differentiates the dynamic interplay of objective and subjective balance on a given day and subsequent task performance on that day. Methods. For 30 consecutive days, following a baseline fall risk assessment, 41 older adults (56% female, Age M = 75.22, SD = 6.75) self-assessed balance and task performance using a smartphone. The Activity-specific Balance Confidence scale measured subjective balance. Postural sway and chair-stand performance were measured within a smartphone using accelerometry. Data were analyzed using multilevel random coefficient models. Results. Tests of heterogeneity in level one residuals showed day-to-day variability in balance confidence and postural sway to be greater in individuals with higher fall risk at baseline. Baseline fall risk differentiated how the interplay of balance confidence and postural sway on a given day related to chair-stand performance on that day. For those with higher fall risk, on days that balance confidence was higher, greater postural sway was followed by greater chair-stand performance. Discussion / Conclusion. Findings indicate that older adults, especially those with higher fall risk, may be unaware of subtle fluctuations in balance, which could lead to engaging in activities that exceed the capacity to maintain balance at that moment. Fall prevention efforts should address older adults’ understanding of and responses to fluctuations of physical function in daily life.

Falls are not only a leading cause of death and disability, but also a strain on the capacity for caregivers to provide care. This study examined how the context of caregiving relates to the importance of caregiver-defined mobile fall prevention feature sets. A sample of 266 family caregivers, recruited from a Chinese social media platform, reported care for an older adult and interest in mobile fall prevention technology features. Factor analysis identified three caregiver-defined feature sets: automatic fall response, digitized fall prevention tools, and social features. Multiple regression showed caregivers’ concern about falling was the most robust predictor of a feature set’s importance. Poisson regression revealed that caregiver concern and assistance with instrumental activities of daily living were associated with rating more features as important. Our findings suggest that caregivers are interested in mobile fall prevention technologies that support older adults’ independence while also alleviating concerns about falling.

Balance confidence reflects one’s estimate of their ability to maintain balance and avoid falls. Extensive literature has shown the relationships between balance confidence, functional limitations, and falls in later life. However, change in balance confidence, especially within short timescale, remains largely unknown and deserves further research. In this study, we aimed to investigate how older adults’ balance confidence would change over 30 days and explore whether baseline characteristics would explain the individual differences in change. We used data from the Daily Balance Project that employed intensive-repeated measurements to examine the dynamics of subjective and objective fall risk across a month. Twenty-one participants (age=78.6±5.8, 48%female) were enrolled, and individual characteristics were measured upon recruitment. Throughout the study, participants self-reported their daily balance confidence using the Activity-Specific Balance Confidence (ABC) Scale. We performed growth modeling techniques to examine change within a multilevel framework. Our results showed that overall, ABC scores were high (79.9±17.4) at first, but the linear change was non-significant (b=0.03, SE=0.21, p=.89) on average. However, we found that balance confidence increased in individuals with higher educational attainment (b=0.37, SE=0.13, p<.01) and decreased among those with greater physical fall risk (b=-0.18, SE=0.07, p<.01) and accurate understanding of fall risk at baseline (b=-0.24, SE= 0.12, p=.04). Although ABC scores were stable within the period of one month, our study highlights the distinction of individual characteristics in the process of balance confidence appraisal. We suggest that these nuances should be taken into account when developing more fine-grained fall risk assessments and interventions.

Fall risk increases as older adults lose the functional resources necessary to maintain balance while completing everyday activities. As functional resources often decline gradually with age, momentary deficits may not be apparent until after a fall occurs. Mobile fall prevention technologies could support older adults in self-monitoring their ability to safely navigate their environments. In this paper we present perspectives on self-monitoring and feedback in a sample of older adults (n = 20, 50% female, age 65+) who had self-assessed their balance via a smartphone for 30 consecutive days. Thematic analysis of semi-structured interviews showed that fall history differentiated a) participants’ awareness of day-to-day variation in functional ability; b) trust in the accuracy of self-monitoring; and c) imaginations of what types of feedback a mobile fall prevention technology should provide. Insight on older adults’ internal self-monitoring processes and guidelines for feedback design are discussed.