The Reliability and Preliminary Validity of Game-Based Fall Risk Assessment in Community-Dwelling Older Adults

Yamada, Minoru; Aoyama, Tomoki; Nakamura, Masaru; Tanaka, Buichi; Nagai, Koutatsu; Tatematsu, Noriatsu; Uemura, Kazunori; Nakamura, Takashi; Tsuboyama, Tadao; Ichihashi, Noriaki

doi:10.1016/j.gerinurse.2011.02.002

Cited by 59 publications

(54 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The majority of studies did not integrate the oldest old as a meaningful proportion of the sample, despite the increasing [10][11][12]14,17,[21][22][23][24][25][28][29][30][31][32][33][34][35][36][37][38][39][40]42,[44][45][46][47][48][49][50][51][52][53][54] To clarify sample proportions and enable our analysis, two authors contacted the respective authors seeking further clarification of the actual number of participants q85 years of age when necessary. Consistent with previous reviews, 2-5 this study highlights a substantial gap in the knowledge base and encourage further exploration into digital gaming use in those 85 years of age and greater.…”

Section: Discussionmentioning

confidence: 99%

“…The remaining 37 articles all reported high percentages of female participants, thus being the majority of the gender split. The study setting/context varied widely across the 46 articles and was composed of retirement/independent communities 11,12,14,21,24,26,29,32,39,40,42,44,47,48,53 (n = 15), communitydwelling 13,16,19,45,46,49 (n = 6), community center 20,31,38,51,52 (n = 5), hospital/assisted living/residential/nursing home/longterm care/institutionalized 10,[15][16][17][18]25,27,28,30,33,35,37,41,43,50,54 (n = 16), not specified 23 (n = 1), or other 34,36,55 (n = 3). The majority of the studies were primarily conducted across two different living environments (hospital/assisted living/residential/nursing home/long-term care/institutionalized) or reti...…”

Section: Discussionmentioning

confidence: 99%

“…The majority used sample sizes less than 50 (78.3 percent; n = 36), [11][12][13][14][15][16][17][42][43][44][45][46] three of which were case studies with a sample size of one. 18,19,41 In contrast, 6.5 percent of studies used a sample population greater than 100 (n = 3).…”

Section: Study Selectionmentioning

confidence: 99%

See 2 more Smart Citations

A Scoping Review of Digital Gaming Research Involving Older Adults Aged 85 and Older

Marston

Freeman

Bishop

et al. 2016

Games for Health Journal

View full text Add to dashboard Cite

Background: Interest in the use of digital game technologies by older adults is growing across disciplines from health and gerontology to computer science and game studies. The objective of this scoping review was to examine research evidence involving the oldest old (persons 85 years of age or greater) and digital game technology. Materials and Methods: PubMed, CINHAL, and Scopus were searched, and 46 articles were included in this review. Results: Results highlighted that 60 percent of articles were published in gerontological journals, whereas only 8.7 percent were published in computer science journals. No studies focused directly on the oldest old population. Few studies included sample sizes greater than 100 participants. Seven primary and 34 secondary themes were identified, of which Hardware Technology and Assessment were the most common. Conclusions: Existing evidence demonstrates the paucity of studies engaging older adults 85 years of age and above regarding the use of digital gaming and highlights a new understudied cohort for further research focus. Recommendations for future research include intentional recruitment and proportionate representation of participants q85 years of age, large sample sizes, and explicit mention of specific numbers of participants q85 years of age, which are necessary to advance knowledge in this area. Integrating a rigorous and robust mixedmethods approach including theoretical perspectives would lend itself to further in-depth understanding and knowledge generation in this field.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Scoping Review of Digital Gaming Research Involving Older Adults Aged 85 and Older

Marston

Freeman

Bishop

et al. 2016

Games for Health Journal

View full text Add to dashboard Cite

show abstract

“…the principal determinants of the TUG test outcome, provide too little information and are inadequate to assess such a complex phenomenon as the risk of fall. recently, modified TUG tests with secondary motor or cognitive tasks have been proposed [31]. In the cognitive TUG, the subjects are asked to count backward, starting with 80 or 100, while completing the test task, whereas in the manual TUG test, they need to fulfil the task carrying a cup of water [32].…”

Section: Discussionmentioning

confidence: 99%

Are the Timed Up and Go Test and Functional Reach Test useful predictors of temporal and spatial gait parameters in elderly people?

Sadowska¹,

Gumny²,

Osiński³

2018

Hum Mov.

View full text Add to dashboard Cite

Purpose. The study aim was to analyse the relationships between the results of the Timed Up and Go (TUG) test and the Functional reach Test (FrT), and the temporal and spatial gait parameters determined with the GAITrite system. Methods. The study included 60 healthy, physically active elderly people aged 70.4 ± 5.1 years. The participants' functional fitness was evaluated with the TUG and FrT, and their temporal and spatial gait parameters -with the GAITrite system. Results. The TUG results correlated inversely with the step length (r = -0.70 and r = -0.61 for the preferred and fast speed, respectively), stride length (r = -0.71 and r = -0.61, respectively), and velocity (r = -0.69 and r = -0.38, respectively). The regression model with these variables explained 43% of variance in the TUG results (p 0.0001). The FrT results correlated positively with the step length (r = 0.61 and r = 0.54, for the preferred and fast speed, respectively), stride length (r = 0.60 and r = 0.56, respectively), and velocity (r = 0.37 and r = 0.38). The regression model with these variables explained 26% of variance in the FrT outcomes. Conclusions. basic temporal and spatial parameters of gait at the preferred speed, i.e. velocity, step length, stance time, single support time, swing time, and double support time, explain up to 43% of the TUG outcome variance and 26% of the FrT results variance.

show abstract

“…community-dwelling elderly adults (Yamada et al, 2011b). The results suggested that gamebased fall risk assessment has a high generality and is very useful for assessing communitydwelling elderly adults (Fig.…”

Section: Introductionmentioning

confidence: 91%

Tailor-Made Programs for Preventive Falls that Match the Level of Physical Well-Being in Community-Dwelling Older Adults

Yamada¹,

Aoyama²,

Arai³

2012

Geriatrics

Self Cite

View full text Add to dashboard Cite

The Reliability and Preliminary Validity of Game-Based Fall Risk Assessment in Community-Dwelling Older Adults

Cited by 59 publications

References 29 publications

A Scoping Review of Digital Gaming Research Involving Older Adults Aged 85 and Older

A Scoping Review of Digital Gaming Research Involving Older Adults Aged 85 and Older

Are the Timed Up and Go Test and Functional Reach Test useful predictors of temporal and spatial gait parameters in elderly people?

Tailor-Made Programs for Preventive Falls that Match the Level of Physical Well-Being in Community-Dwelling Older Adults

Contact Info

Product

Resources

About