scholarly journals Sedentary Behavior And Physical Function In Older Adults Following A Randomized Controlled Sedentary Behavior Intervention

2020 ◽  
Vol 52 (7S) ◽  
pp. 741-741
Author(s):  
Kevin M. Crombie ◽  
Neda E. Almassi ◽  
Brianna N. Leitzelar ◽  
Kelli F. Koltyn
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Physical Function ◽  
Behavior Intervention ◽  
Randomized Controlled

Stand Up Now: A Sedentary Behavior Intervention in Older Adults of Moderate to Low Physical Function

2020 ◽  
pp. 1-13
Author(s):  
Katie Thralls Butte ◽  
Susan S. Levy
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Physical Function ◽  
Physical Performance ◽  
Mixed Models ◽  
Sedentary Time ◽  
Health Coaching ◽  
Behavior Intervention ◽  
Sit To Stand ◽  
Over Time

Objectives: To examine the efficacy of an the intervention Stand Up Now (SUN) to reduce sedentary behavior (SB) and improve physical function and mobility. Methods: SUN included two groups: (a) focused on reducing total SB (SUNSL) and (b) focused on increasing sit-to-stand (STS) transitions (SUNSTS). The participants (N = 71; Mage = 87 ± 7 years) had 12 weekly health coaching sessions. SB, physical function, and mobility were measured at the baseline, 6, and 12 weeks via the activPAL, Short Physical Performance Battery, and the 8-foot up and go, respectively. Linear mixed models examined the outcome variables over time. Results: Both groups decreased sedentary time (1.3 ± 0.3 hr, p < .001), increased standing time (0.5 ± 0.2 hr, p < .02), and improved physical function (1.5 ± 0.4 points, p < .001) from the baseline to 6 weeks, and they maintained it at 12 weeks. SUNSTS increased STS transitions (5.4 ± 4.1, p < .001), while SUNSL had no changes (0.5 ± 3.1, p > .9). There were no changes in mobility for either group (0.5 ± 1.5 s, p > .05). Discussion: SUN demonstrates the efficacy to improve SB and physical function in older adults.

Changes in Self-Reported Health and Psychosocial Outcomes in Older Adults Enrolled in Sedentary Behavior Intervention Study

2019 ◽  
Vol 33 (7) ◽  
pp. 1053-1057 ◽  
Author(s):  
Theresa E. Matson ◽  
Melissa L. Anderson ◽  
Anne D. Renz ◽  
Mikael Anne Greenwood-Hickman ◽  
Jennifer B. McClure ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Behavior Intervention ◽  
Habit Strength ◽  
Sitting Time ◽  
Group I ◽  
Reported Health

Purpose: To estimate changes in self-reported health and psychosocial factors associated with a 12-week sedentary behavior intervention for older adults. Design: Exploratory secondary analysis of pilot randomized controlled trial. Setting: Kaiser Permanente Washington Subjects: Sixty adults aged 60 to 89 with body mass index ≥30 kg/m2. Intervention: Participants were randomized to the I-STAND intervention or control group. I-STAND involved 6 coaching sessions, a study workbook, Jawbone UP activity tracker to prompt breaks from sitting, and activPAL feedback on objective sitting time. Measures: At baseline and 12-week follow-up, participants completed a survey with validated measures of self-reported health outcomes (depression, stress, memory/concentration, sleep, pain, ability to do daily activities, energy, and quality of life) and modified scales measuring psychosocial factors (perceived benefits/barriers, social support, self-efficacy, and sedentary habit strength) regarding sedentary behavior. Analysis: Generalized linear models assessed associations between group assignment and change in each self-reported health and psychosocial score, adjusting for baseline scores. Results: I-STAND participants demonstrated improvements in self-efficacy (β = 0.35, 95% confidence interval [CI]: 0.10 to 0.60) and reduced habit strength (β= −0.23, 95% CI: −0.42 to −0.04) compared to control participants. There were no significant differences in self-reported health outcomes, although power was limited in this exploratory analysis. Conclusion: A sedentary behavior reduction intervention for older adults resulted in improvements for some psychosocial factors. Health outcomes may require longer than 12 weeks to observe improvements.

scholarly journals Wearable technology to reduce sedentary behavior and CVD risk in older adults: Design of a randomized controlled trial

2017 ◽  
Vol 6 ◽  
pp. 122-126 ◽  
Author(s):  
Lisa M. Krehbiel ◽  
Andrew S. Layne ◽  
Bhanuprasad Sandesara ◽  
Todd M. Manini ◽  
Stephen D. Anton ◽  
...  
Keyword(s):  
Older Adults ◽  
Randomized Controlled Trial ◽  
Sedentary Behavior ◽  
Controlled Trial ◽  
Wearable Technology ◽  
Cvd Risk ◽  
Randomized Controlled

Patterns of sedentary behavior and physical function in older adults

2015 ◽  
Vol 28 (5) ◽  
pp. 943-950 ◽  
Author(s):  
Keith P. Gennuso ◽  
Keith M. Thraen-Borowski ◽  
Ronald E. Gangnon ◽  
Lisa H. Colbert
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Physical Function

scholarly journals TIME SPENT IN SEDENTARY BEHAVIOR DOMAINS AND PHYSICAL FUNCTION IN U.S. OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S169-S169
Author(s):  
Nancy M Gell ◽  
Erin D Bouldin ◽  
Dori Rosenberg
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Physical Function ◽  
Computer Use ◽  
Sedentary Time ◽  
Community Dwelling ◽  
Sample Population ◽  
Linear Regression Models ◽  
Tv Watching

Abstract Previous studies have reported associations of sedentary time with worse health outcomes in older adults. Yet, little is known about the relationships between the contexts of sedentary time and health outcomes. The purpose of this study was to examine associations of physical function with time spent in a variety of sedentary behavior domains. We analyzed data from the 2016 National Health and Aging Trends Study, a nationally representative sample of community-dwelling Medicare beneficiaries. Estimated time being sedentary by domains (e.g., TV watching, computer use, resting/napping, eating, transportation, socializing, sitting and doing hobbies) were collected from a subset of the sample population (N=2157). The Short Physical Performance Battery (SPPB) measured physical function. Linear regression models were conducted adjusting for sociodemographics, health conditions, pain, and dementia. More time watching TV and resting/napping was significantly associated total SPPB scores (p &lt; 0.01). In adjusted models, lower SPPB scores were significantly associated with more time/day spent sitting and watching television or resting (ɮ =-0.16 hours; 95% Confidence Interval (CI): -.024, -0.08 for TV watching and ɮ =-0.63 hours; 95% CI: -0.80, -0.46 for resting). Average time in computer use, eating, transportation, hobbies, or social activities did not differ by physical function level. Associations between physical function and sedentary time vary by the context. Social or engaging sedentary activities do not appear to be associated with physical function limitations in the same way as passive sedentary domains like television viewing and resting. Context should be considered in evaluating relationships of sedentary time with health outcomes.

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