Physical Activity and Physical Function

Dugan, Sheila A.; Gabriel, Kelley Pettee; Lange‐Maia, Brittney S.; Karvonen‐Gutierrez, Carrie

doi:10.1016/j.ogc.2018.07.009

Cited by 67 publications

(45 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Different solutions have been proposed in the literature, each of them focused on a specific population. Perhaps one of the most difficult populations is that of the elderly: in this case, the amount of movement is smaller and the activities are weaker in general (for instance, elderly people walk slowly, arm movement range is shorter) [13,41,40]. And most importantly, the impact and consequences of delayed assistance on the health of an elderly person after a fall are much more severe.…”

Section: Abstract Fall Detection • Smart Wearables • Applied Machine mentioning

confidence: 99%

“…Using publicly available data sets can help with this issue, but the main part of these includes simulated falls (that is, the participants fall down from a static standing-still position). Moreover, the differences between ADLs and falls decrease with age: the movements of the elderly are weaker and the falls are mainly due to fainting or loss of balance [13,41,40]. In many cases, the subject tries to grab a handrail or even a wall so as to avoid falling; this staggering may mask the drastic changes in acceleration that a normal fall shows.…”

Section: On-line Learning and Transfer Learning Fall Detectionmentioning

confidence: 99%

See 1 more Smart Citation

User-centered fall detection using supervised, on-line learning and transfer learning

et al. 2019

View full text Add to dashboard Cite

There is no need to explain the relevance of Fall Detection (FD) in the elderly population: the faster they receive help, the higher the probabilities of recovery. FD has been widely studied and a number of solutions have been proposed in the literature, including commercial products with well-known trademarks. Basically, the majority of the solutions include an event detection method followed by a feature extraction block as the inputs to a classifier that labels the sample as Fall or as Not Fall. Nevertheless, the proposals always rely on user feedback because of the relatively high percentage of false positives. This study proposes two supervised user-centered solutions for FD which are This research has been funded by the Spanish Ministry of Science and Innovation, under project MINECO-TIN2017-84804-R.

show abstract

Section: Abstract Fall Detection • Smart Wearables • Applied Machine mentioning

confidence: 99%

Section: On-line Learning and Transfer Learning Fall Detectionmentioning

confidence: 99%

User-centered fall detection using supervised, on-line learning and transfer learning

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Aging is associated with a decline in physical function (i.e., balance, flexibility, and muscle strength) and hormonal status (i.e., GH, DHEA-S, and estrogen) [34,41,42,43,44]. Previous studies have also reported that an exercise program improves physical function and prevents hormonal deficiency in elderly women [45,46].…”

Section: Discussionmentioning

confidence: 99%

The Effects of 12 Weeks of a Combined Exercise Program on Physical Function and Hormonal Status in Elderly Korean Women

Im¹,

Bang

Seo

2019

IJERPH

View full text Add to dashboard Cite

Aging causes a decline in physical function and hormonal balance. Exercise can improve these parameters. However, the beneficial effects of a combined exercise program (Korean dance and yoga) on physical function and hormonal status in elderly women remain unknown. This study aims to investigate the effects of a 12-week combined exercise program on balance, flexibility, muscle strength, and hormonal status in elderly Korean women. Twenty-five healthy elderly women were recruited and randomly divided into the control (CON) and exercise (EXE) groups. The EXE group underwent the combined exercise program (60 min/day and 3 times/week) for 12 weeks. The two groups did not differ in body weight, lean body mass, fat mass, body fat percentage, or body mass index at baseline or in the changes following the experimental conditions. A significant time × group interaction was detected for anterior and posterior dynamic balance, static balance, and growth hormone (GH). After the combined exercise program, anterior dynamic balance, posterior dynamic balance, static balance, flexibility, muscle strength, GH, dehydroepiandrosterone-sulfate, and estrogen significantly increased in the EXE group compared to the CON group. In conclusion, the combined exercise program contributed to improvements in overall health, including physical function and hormonal status, in elderly Korean women.

show abstract

“…Previous research has examined the relationship of social activity with physical and cognitive function (Glei et al, 2005;Bidzan et al, 2016;Frith and Loprinzi, 2017; Abbreviations: IADL, Instrumental activities of daily living; KLoSA, The Korean Longitudinal Study of Aging. Bidzan-Bluma and Lipowska, 2018;Dugan et al, 2018) and social activity may be a key factor mitigating physical and cognitive decline.…”

Section: Introductionmentioning

confidence: 99%

The Mediating Effect of Physical Function Decline on the Association Between Social Activity and Cognitive Function in Middle and Older Korean Adults: Analyzing Ten Years of Data Through Multivariate Latent Growth Modeling

Bae

2020

Front. Psychol.

View full text Add to dashboard Cite

PurposeThis study aimed to examine the long-term association between social activity, physical function decline and cognitive function, as well as verify the long-term mediating effect of physical function decline on the relationship between social activity and cognitive function.MethodsData from the Korean Longitudinal Study of Aging (KLoSA) that was collected over 10 years was analyzed. The sample included 10,240 adults aged 45–93 years (Mean age = 61.66 [SD = 11.061]). Multivariate latent growth modeling (LGM) was applied to verify the long-term effect of social activity and physical function on cognitive function.ResultsThe results revealed that social activity had a positive impact on cognitive function and negative impact on physical function decline after controlling for age and education level. Additionally, physical function decline negatively influenced cognitive function. Finally, social activity indirectly affected cognitive function through physical function decline.ConclusionThe contribution of this study was to test the long-term effect social activity on physical and cognitive function.

show abstract

Physical Activity and Physical Function

Cited by 67 publications

References 78 publications

User-centered fall detection using supervised, on-line learning and transfer learning

User-centered fall detection using supervised, on-line learning and transfer learning

The Effects of 12 Weeks of a Combined Exercise Program on Physical Function and Hormonal Status in Elderly Korean Women

The Mediating Effect of Physical Function Decline on the Association Between Social Activity and Cognitive Function in Middle and Older Korean Adults: Analyzing Ten Years of Data Through Multivariate Latent Growth Modeling

Contact Info

Product

Resources

About