Effect of a mixed-exercise program on physical capacity and sedentary behavior in older adults during cancer treatments

Abstract Technology research and development often exclude older adults with disabilities from participating in the design process. As a result, technologies may not be useful or usable by older adults with diverse abilities. This symposium, featuring projects at the TechSAge Rehabilitation Engineering Research Center, highlights ongoing efforts toward inclusive design, representing unique approaches to engage older adults with disabilities and their stakeholders in the research and development of technology supports. First, Mitzner et al., will describe the development of an online, group Tai Chi intervention, and the integral involvement of older adults with mobility disabilities, the exercise program developers, and technology partner in all steps of the process. Exploring the potential of voice-activated assistants, like Amazon Alexa, to support health management activities of older adults with mobility disabilities, Kadlyak et al. will present findings from a needs assessment of the target population and user testing in the lab and home environments. Koon et al. will present findings from a subject matter expert interview study with caregivers and medical professionals designed to identify the scope of activity challenges among people aging with long-term mobility and sensory disabilities that should be explored in more depth through our future interview study with the target population. Sanford et al., will describe a student design competition and hackathon that incorporates immersive experiences with people aging with disabilities to inspire innovative design concepts that respond to the needs of real people. NIDILRR Project Officer, Anne Ordway, will serve as the discussant.

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Nurse Practitioner’s Clinical Triggers for Referral to Other 3D Team Members

Innovation in Aging ◽

10.1093/geroni/igaa057.2680 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 745-745

Author(s):

Shawn Ladda

Keyword(s):

Older Adults ◽

Community Health ◽

Nurse Practitioners ◽

Physical Therapists ◽

Exercise Program ◽

Health Educator ◽

Problem Solving Therapy ◽

Team Members ◽

Resource Information ◽

Registered Dietician

Abstract This presentation features how 3D Team nurse practitioners (NP) use results of clinical assessments to determine whether older adults and caregivers enrolled in the study are referred to other Team members; these assessment results are called “clinical triggers”. Other team members who receive referrals based on NP-generated clinical triggers include: Licensed Clinical Social Workers, who deliver Problem Solving Therapy to older adults with significant depressive symptoms; Occupational Therapists, who deliver an evidence-based dementia care intervention; Physical Therapists, who deliver an adapted Otago exercise program; Registered Dietician, who provides nutrition and dietary instruction; and Community Health Educator, who provides community resource information to address social determinants of health. All clinical triggers will be detailed in this presentation, along with a description of each intervention delivered by other team members except the Community Health Educator. Case studies will be presented to illustrate how study participants receive multiple interventions from the 3D Team.

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Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

BMC Geriatrics ◽

10.1186/s12877-020-01856-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Li-Tang Tsai ◽

Eleanor Boyle ◽

Jan C. Brønd ◽

Gry Kock ◽

Mathias Skjødt ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Sedentary Behavior ◽

Sedentary Behaviour ◽

Sleep Duration ◽

Activity Level ◽

Time In Bed ◽

Objectively Measured ◽

Objectively Measured Physical Activity ◽

Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

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Conscious and Non-Conscious Processes Regulate Minority Older Adults’ Sedentary Behavior

Innovation in Aging ◽

10.1093/geroni/igaa057.1074 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 335-335

Author(s):

Jaclyn Maher ◽

Derek Hevel ◽

Kourtney Sappenfield ◽

Heidi Scheer ◽

Christine Zecca ◽

...

Keyword(s):

Older Adults ◽

Sedentary Behavior ◽

Action Planning ◽

Interactive Effects ◽

Black African ◽

Affective Consequences ◽

Introductory Session ◽

Conscious Processes ◽

Multilevel Linear Regression ◽

Age Range

Abstract Accumulating evidence suggests that sedentary behavior (SB), or time spent sitting, is regulated by both conscious (e.g., intentions) and non-conscious (e.g., habits) motivational processes. Much of the work investigating these processes has employed summary-based measures of typical motivation and behavior. This study employed ecological momentary assessment (EMA) methods and accelerometry to determine the extent to which conscious and non-conscious processes regulate minority older adults’ momentary decisions to engage in SB. Over the course of the 8-day study, minority older adults (N=91; age range: 60-89 years, 96% Black/African American) answered 6 EMA questionnaires/day on a mobile phone and wore an ActivPAL activity monitor to measure SB. EMA questionnaires assessed momentary intentions to limit SB over the next two hours. SB habit strength was self-reported at an introductory session. Results from a multilevel linear regression model indicated that on occasions when individuals had stronger intentions than usual to limit SB, they subsequently engaged in less SB (b=-3.72, p<0.01). Individuals who had stronger SB habits, tended to engage in more SB (b=3.00, p<0.01). An additional multilevel model revealed that habits did not significantly moderate the association between momentary intentions and subsequent SB (b=-1.06, p=0.09). In conclusion, minority older adults’ momentary SB appears to be directly influenced by both conscious and non-conscious motivational processes, though the interactive effects are unclear. Interventions to reduce minority older adults’ SB should include content to increase intentions to limit SB (e.g., information on instrumental and affective consequences) and disrupt habitual SB (e.g., action planning).

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