scholarly journals Age-related changes in emotional behavior: Evidence from a 13-year longitudinal study of long-term married couples.

Emotion ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 149-163 ◽  
Author(s):  
Alice Verstaen ◽  
Claudia M. Haase ◽  
Sandy J. Lwi ◽  
Robert W. Levenson

1994 ◽  
Vol 29 (5) ◽  
pp. 531-541 ◽  
Author(s):  
Anders Wikby ◽  
Boo Johansson ◽  
Frederick Ferguson ◽  
Jadwiga Olsson


2008 ◽  
Vol 22 (S1) ◽  
Author(s):  
Ian R Lanza ◽  
Daniel K Short ◽  
Kevin R Short ◽  
Yan W Asmann ◽  
Sreekumar Raghavakaimal ◽  
...  


Author(s):  
Rene Franco-Elizondo ◽  
Sukanya Pranathiageswaran ◽  
M. Safwan Badr ◽  
Susmita Chowdhuri


2018 ◽  
Vol 125 (5) ◽  
pp. 1468-1474 ◽  
Author(s):  
Yoshihiro Fukumoto ◽  
Yosuke Yamada ◽  
Tome Ikezoe ◽  
Yuya Watanabe ◽  
Masashi Taniguchi ◽  
...  

Ultrasonic echo intensity (EI), an easy-to-use measure of intramuscular fat and fibrous tissues, is known to increase with aging. However, age-related changes in EI have not been examined in a longitudinal design. The objective of this study was to investigate 4-yr longitudinal changes in the EI of the quadriceps femoris in older adults, based on difference in physical activity (PA). This study included 131 community-dwelling older adults with a mean age of 72.9 ± 5.2 yr. Subcutaneous fat thickness (FT), muscle thickness (MT), and EI of the quadriceps femoris were measured by ultrasound. Isometric knee extensor strength was also measured. PA was assessed using a questionnaire at baseline, and participants were classified into the high or low PA groups. In 4 yr, a significant decrease in FT, MT, and strength was observed in both groups ( P < 0.05), whereas a significant decrease in EI was observed only in the high PA group ( P < 0.05). Multiple linear regression analyses revealed that the difference in PA was a significant predictor of 4-yr changes in MT (β = 0.189, P = 0.031) and EI (β = −3.145, P = 0.045) but not in the body mass index, FT, or strength adjusted for potential confounders. The present findings suggest that greater PA has a positive effect on longitudinal changes in the MT and EI of the quadriceps femoris in older adults. In addition, greater PA may contribute to a future decrease in EI, and an increase in EI may not occur in 4 yr, even in older adults with lesser PA. NEW & NOTEWORTHY Our results suggest that greater physical activity (PA) may mitigate future changes in muscle thickness and echo intensity (EI). A decrease in EI over 4 yr was observed in older adults with greater PA, and an increase in EI was not observed, even in older adults with smaller PA. Several cross-sectional studies demonstrated an increase in EI with aging. Additionally, the results of our longitudinal study suggest that an age-related increase in EI may be moderated after the old-age period.





2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Tracy L Mitzner ◽  
Jon A Sanford ◽  
Wendy A Rogers

Abstract There is a critical need to develop supports for older adults who have a wide range of abilities, including those aging with long-term impairments. Without appropriate support, many individuals will be functioning below optimal levels and will face participation barriers. Technology holds great promise to provide individualized support for a wide range of abilities and for a variety of domains. To ensure technology interventions are designed well and meet research-documented user requirements, we need more specific, actionable models to provide guidance for those developing and designing interventions. In this paper, we present the TechSAge Aging and Disability Model to bridge models from the aging and disability literatures and to disambiguate the population of individuals aging into disability from those aging with disability (i.e., pre-existing impairments). We also present the TechSAge Technology Intervention Model to support aging with pre-existing impairments, which provides direction and touch points for technology interventions. These models reflect the complex and dynamic interaction between age-related changes and an individual’s prior capabilities and limitations. We describe the need for these models with respect to filling a gap in the disability and aging literature by highlighting the importance of differentiating between age-related changes and long-term impairments when designing interventions. We also show the need for quantitative and qualitative data to refine the models given complexities of the current state of the literature and survey data. The TechSAge Technology Intervention Model can be used to drive and inform technology redesign and development.



1993 ◽  
Vol 69 (1-2) ◽  
pp. 109-117 ◽  
Author(s):  
Lawrence W. Updyke ◽  
Kimberley S. Cocke ◽  
Daniel Wierda


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