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Item Assessing older adult physical activity levels in clinical settings: The modified PAVS for older adults(John Wiley and Sons Inc, 2024-10-03) Stoutenberg, Mark; Rogers, Michael E.; Denison, Paige; Schlicht, Jeff A.; Weitzel, Kelsey; Ory, Marcia; Kellar, Garrett; Summers, Louisa; Wingood, MarianaBackground: Participating in recommended levels of physical activity (PA) is critical for preventing functional decline, falls, and frailty, making it essential to identify older adults not meeting national PA guidelines. However, guidance on assessing older adult PA levels, particularly in clinical settings, is lacking. This article presents an overview of clinically feasible PA assessment tools for older adults, identifies gaps in current tools, and provides recommendations on addressing these gaps. Methods: We conducted a literature review on clinically feasible PA assessment tools, suggested modifications to an existing PA assessment for older adult patients, and highlighted opportunities for integrating the modified PA assessment tool in clinical settings. Results: We identified 16 PA assessment tools used in clinical settings. The most widely used tool is the Physical Activity Vital Sign (PAVS), which has been successfully integrated into several electronic health records (EHR) and clinical practices. Most tools, including the PAVS, primarily focus on aerobic activities, with limited consideration for strength and balance. We recommend the use of a Modified PAVS for Older Adults that includes items on muscle-strengthening and balance activities to better align with national PA guidelines. We then identified several existing opportunities for broad implementation of the Modified PAVS for Older Adults within clinical settings. Conclusions: Widespread integration of the Modified PAVS for Older Adults will better support healthcare providers in identifying individuals not meeting national PA recommendations, assisting them in prescribing tailored PA prescriptions and better connecting their patients to appropriate resources and professionals for further support. © 2024 The American Geriatrics Society.Item The physical activity vital sign for older adults: Time for an update(Elsevier Inc., 2024) Schlicht, Jeff A.; Wingood, Mariana; Heled, Yuval; Weitzel, Kelsey; Rogers, Michael E.; Seffens, Paula R.Item Aquatic exercise for better living on land: Impact of shallow-water exercise on older Japanese women for performance of Activities of Daily Living (ADL)(Human Kinetics Publishers Inc., 2016-12-28) Sanders, Mary E.; Islam, Mohammod M.; Naruse, Aiko; Takeshima, Nobuo; Rogers, Michael E.Twenty-six Japanese women (70.5 yr) self-selected water exercise (WEX) (n=13), or control (CON) (n=13) for 12 weeks. WEX was performed 60-minutes/day, 3 days/week with warm-up, cool-down stretch, ADL exercises, and cardiovascular/muscular endurance in 30°C water at a xiphoid level depth. CON continued their current activity/nutrition patterns. Compared to CON, WEX improved (p<.05) functional fitness and balance measures including arm curl (22%), chair stand (21%), 8-feet up & go (13%), chair sit/reach (50%), and 12-min walk (15%). No significant changes in sway velocity (SV) or limits of stability (LOS) were seen for either group. This shallow water exercise improved land-based ADL for older women but not balance. ADL tasks associated with balance did improve which may have indicated enhanced motor control.Item Test-Retest reliability and preliminary reliable change estimates for Sway Balance tests administered remotely in community-dwelling adults(Frontiers Media S.A., 2022-11-02) Caccese, Jaclyn B.; Teel, Elizabeth; Van Patten, Ryan; Muzeau, Mélissa A.; Iverson, Grant L.; VanRavenhorst-Bell, Heidi A.Objective: Impaired balance and postural stability can occur with advanced age, following traumatic brain injury, in association with neurological disorders and diseases, and as the result of acute or chronic orthopedic problems. The remote assessment of balance and postural stability could be of value in clinical practice and research. We examined the test-retest reliability and reliable change estimates for Sway Balance Mobile Application tests (Sway Medical, Tulsa OK, USA) administered remotely from the participant's home. Method: Primarily young, healthy community-dwelling adults completed Sway Balance Mobile Application tests remotely on their personal mobile devices once per week for three consecutive weeks while being supervised with a video-based virtual connection. Sway Balance tests include five stances (i.e., feet together, tandem right foot forward, tandem left foot forward, single leg right foot, single leg left foot), which are averaged to compute a Sway Balance composite score from 0 to 100, with higher scores indicating better postural stability. We examined test-retest reliability (measured with intraclass correlation coefficients, ICCs) and preliminary reliable change estimates for 70%, 80%, and 90% confidence intervals. Results: Participants included 55 healthy adults (ages?=?26.7?±?9.9 years, interquartile range?=?20–30, range?=?18–58; 38 [69%] women). Test-retest reliability for the Sway Balance composite score across three weeks was.88. Test-retest reliability for individual stances ranged from 62 to 83 (all ps?Item Test–retest reliability and reliable change estimates for four mobile cognitive tests administered virtually in community-dwelling adults(Frontiers Media, 2021-10-21) Van Patten, Ryan; Iverson, Grant L.; Muzeau, Mélissa A.; VanRavenhorst-Bell, Heidi A.Objective: Remote mobile cognitive testing (MCT) is an expanding area of research, but psychometric data supporting these measures are limited. We provide preliminary data on test–retest reliability and reliable change estimates in four MCTs from SWAY Medical, Inc. Methods: Fifty-five adults from the U.S. Midwest completed the MCTs remotely on their personal mobile devices once per week for 3 consecutive weeks, while being supervised with a video-based virtual connection. The cognitive assessment measured simple reaction time (“Reaction Time”), go/no-go response inhibition (“Impulse Control”), timed visual processing (“Inspection Time”), and working memory (“Working Memory”). For each cognitive test except Working Memory, we analyzed both millisecond (ms) responses and an overall SWAY composite score. Results: The mean age of the sample was 26.69years (SD=9.89; range=18–58). Of the 55 adults, 38 (69.1%) were women and 49 (89.1%) used an iPhone. Friedman’s ANOVAs examining differences across testing sessions were nonsignificant (ps>0.31). Intraclass correlations for Weeks 1–3 were: Reaction Time (ms): 0.83, Reaction Time (SWAY): 0.83, Impulse Control (ms): 0.68, Impulse Control (SWAY): 0.80, Inspection Time (ms): 0.75, Inspection Time (SWAY): 0.75, and Working Memory (SWAY): 0.88. Intraclass correlations for Weeks 1–2 were: Reaction Time (ms): 0.75, Reaction Time (SWAY): 0.74, Impulse Control (ms): 0.60, Impulse Control (SWAY): 0.76, Inspection Time (ms): 0.79, Inspection Time (SWAY): 0.79, and Working Memory (SWAY): 0.83. Natural distributions of difference scores were calculated and reliable change estimates are presented for 70, 80, and 90% CIs. Conclusion: Test–retest reliability was adequate or better for the MCTs in this virtual remote testing study. Reliable change estimates allow for the determination of whether a particular level of improvement or decline in performance is within the range of probable measurement error. Additional reliability and validity data are needed in other age groups.