scholarly journals Physical Activity Patterns Among Older Adults With and Without Knee Osteoarthritis in Six European Countries

2016 ◽  
Vol 68 (2) ◽  
pp. 228-236 ◽  
Author(s):  
Florian Herbolsheimer ◽  
Laura A. Schaap ◽  
Mark H. Edwards ◽  
Stefania Maggi ◽  
Ángel Otero ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Knee Osteoarthritis ◽  
Activity Patterns ◽  
European Countries ◽  
Physical Activity Patterns

scholarly journals Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study

2012 ◽  
Vol 42 (2) ◽  
pp. 222-229 ◽  
Author(s):  
Nanna Yr Arnardottir ◽  
Annemarie Koster ◽  
Dane R. Van Domelen ◽  
Robert J. Brychta ◽  
Paolo Caserotti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behaviour ◽  
Activity Patterns ◽  
Daily Physical Activity ◽  
Physical Activity Patterns ◽  
Objective Measurements ◽  
Gene Environment

The influence of life events on physical activity patterns of Dutch older adults: A life history method

2014 ◽  
Vol 30 (6) ◽  
pp. 627-651 ◽  
Author(s):  
Elise J. Kenter ◽  
Winifred A. Gebhardt ◽  
Irene Lottman ◽  
Mariët van Rossum ◽  
Margreet Bekedam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Life History ◽  
Life Events ◽  
Activity Patterns ◽  
Physical Activity Patterns

scholarly journals Effect of Hospitalizations on Physical Activity Patterns in Mobility-Limited Older Adults

2018 ◽  
Vol 67 (2) ◽  
pp. 261-268 ◽  
Author(s):  
Amal A. Wanigatunga ◽  
Thomas M. Gill ◽  
Anthony P. Marsh ◽  
Fang-Chi Hsu ◽  
Lusine Yaghjyan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activity Patterns ◽  
Physical Activity Patterns

scholarly journals Application and Reliability of the Retrospective Interview Procedure to Trace Physical Activity Patterns in Master Athletes and Nonactive Older Adults

2009 ◽  
Vol 35 (12) ◽  
pp. 1107-1122 ◽  
Author(s):  
Dany J. MacDonald ◽  
Sean Horton ◽  
Krista Kraemer ◽  
Patricia Weir ◽  
Janice M. Deakin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activity Patterns ◽  
Master Athletes ◽  
Physical Activity Patterns

scholarly journals Time-Varying Associations of Physical Activity on Weekdays and Weekend Days in Minority Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 191-191
Author(s):  
Derek Hevel ◽  
Laurie Kennedy-Malone ◽  
Kourtney Sappenfield ◽  
Heidi Scheer ◽  
Christine Zecca ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activity Patterns ◽  
Physical Activity Behavior ◽  
Time Varying ◽  
Physically Active ◽  
Black African ◽  
Physical Activity Patterns ◽  
Low Levels ◽  
The Moment

Abstract Older adults are insufficiently physically active, and therefore, are at an increased health risk. However, less is known about the moment-to-moment physical activity behavior patterns that change across the day. The current study utilized accelerometry to better understand diurnal physical activity patterns. Minority older adults (N=91, age M=70.14, 96% Black/African American) participated in an 8-day study where they wore an ActivPAL accelerometer to measure physical activity. Physical activity was operationalized as stepping in the 60-minute window (±30-min) around a given moment. Time varying-effect modeling was used to determine how physical activity patterns change over the course of weekdays and weekend days. Results are rounded to the 5-min interval. On weekdays, time spent stepping increased from 8:00am (B=7.16, 95%CI: 5.04, 9.27) until peaking at 11:10am (B=8.46, 95%CI: 6.59, 10.33), slowly decreased to the lowest point at 6:10pm (B=6.72, 95%CI: 4.82, 8.62), and then increased slightly in the evening. On weekend days, time spent stepping was lowest at 8:00am (B=4.47, 95%CI: 2.14, 6.80), peaked at 12:20pm (B=5.50, 95%CI: 3.22, 7.78), gradually decreased until 5:50pm (B=5.21, 95%CI: 2.90, 7.52), and then increased slightly in the evening. Minority older adults engage in more stepping time around mid-day, but less stepping in the late afternoon to early evening on both weekdays and weekend days. Self-care activities (e.g., mealtime, bed-time routines) may influence older adults’ physical activity. This work identifies vulnerable times during the day when older adults engage in relatively low levels of physical activity which may be of interest for interventions.

scholarly journals Concern about Falling and Complexity of Free-Living Physical Activity Patterns in Well-Functioning Older Adults

Gerontology ◽  
2018 ◽  
Vol 64 (6) ◽  
pp. 603-611 ◽  
Author(s):  
Anisoara Paraschiv-Ionescu ◽  
Christophe J. Büla ◽  
Kristof Major ◽  
Constanze Lenoble-Hoskovec ◽  
Hélène Krief ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Everyday Life ◽  
Activity Patterns ◽  
Physical Activity Behavior ◽  
Community Dwelling ◽  
Negative Consequences ◽  
Free Living ◽  
Physical Activity Patterns ◽  
Activity Behavior

Background: Fall-related psychological concerns are common among older adults, potentially contributing to functional decline as well as to restriction of activities and social participation. To effectively prevent such negative consequences, it is important to understand how even very low concern about falling could affect physical activity behavior in everyday life. We hypothesized that concern about falling is associated with a reduction in diversity, dynamics, and performance of daily activities, and that these features can be comprehensively quantified in terms of complexity of physical activity patterns. Methods: A sample of 40 community-dwelling older adults were assessed for concern about falling using the Falls Efficacy Scale-International (FES-I). Free-living physical activity was assessed using a set of metrics derived from data recorded with a chest-worn tri-axial accelerometer. The devised metrics characterized physical activity behavior in terms of endurance (total locomotion time, longest locomotion period, usual walking cadence), performance (cadence of longest locomotion period, locomotion periods with at least 30 steps and 100 steps/min), and complexity of physical activity patterns. Complexity was quantified according to variations in type, intensity, and duration of activities, and was considered as an adaptive response to environmental exigencies over the course of the day. Results: Based on FES-I score, participants were classified into two groups: not concerned at all/fully confident (n = 25) and concerned/less confident (n = 15). Demographic and health-related variables did not differ significantly between groups. Comparison of physical activity behavior indicated no significant differences for endurance-related metrics. In contrast, performance and complexity metrics were significantly lower in the less confident group compared to the fully confident group. Among all metrics, complexity of physical activity patterns appeared as the most discriminative feature between fully confident and less confident participants (p = 0.001, non-parametric Cliff’s delta effect size = 0.63). Conclusions: These results extend our understanding of the interplay between low concern about falling and physical activity behavior of community-dwelling older persons in their everyday life context. This information could serve to better design and evaluate personalized intervention programs in future prospective studies.

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