Temporal Characteristics of Habitual Physical Activity Periods Among Older Adults

2009 ◽  
Vol 6 (5) ◽  
pp. 644-650 ◽  
Author(s):  
Thorlene Egerton ◽  
Sandra G. Brauer
Keyword(s):  
Physical Activity ◽  
Older People ◽  
Care Facility ◽  
The Elderly ◽  
Aged Care ◽  
Activity Period ◽  
Activity Levels ◽  
Activity Data ◽  
Temporal Characteristics ◽  
At Home

Background:While physical activity is advocated for the elderly, little is known about the patterns of habitual activity of older people, particularly those in aged care. This study employed a novel approach to analyzing activity data to compare the temporal characteristics of daily activity between 15 older people living at home with 16 living in an aged care facility.Methods:The time spent standing and walking, and the number and duration of upright activity periods (greater than 1 minute) were monitored for 72 hr continuously.Results:Despite variation in all measures across the participants, those living in aged care spent significantly less time upright per day (2.3 hr vs. 7.2 hr), standing (1.6 hr vs. 5 hr), and walking (0.7 hr vs. 2.2 hr) than those living at home. Participants in both groups had a similar number of activity periods; however, the median activity period duration was less for those living in aged care (4 min vs. 8 min).Conclusions:Activity levels of both groups were low compared with recommendations. In particular, aged care residents were rarely upright for 30 min continuously, supporting the need for services to promote physical activity of older people particularly those living in aged care facilities.

scholarly journals Evaluation of selected forms of physical activity of older people - pilot study

2012 ◽  
Vol 26 (2) ◽  
pp. 23-28
Author(s):  
Anna Ogonowska-Słodownik
Keyword(s):  
Physical Activity ◽  
Older People ◽  
Tai Chi ◽  
Subjective Evaluation ◽  
The Elderly ◽  
Borg Scale ◽  
Nordic Walking ◽  
Measurement Tools ◽  
The University ◽  
Work Done

Abstract Introduction: Regular physical activity can prevent sharp decline in the level of physical fitness of older people [1]. Both the quantity and quality of physical activity are important [2]. The aim of this study was to evaluate selected forms of physical activity of older people in terms of intensity of effort. Material and methods: In the study participated 10 women at the age of 73.6 ± 6.5 years, from the Third Age University at the University of Physical Education in Warsaw. The study included four forms: gymnastics, Nordic walking, dancing and Tai Chi. The study used IDEEA device (Intelligent Device for Energy Expenditure and Activity) and a pulse recorder (Polar). In addition, each of the woman immediately after class evaluated its intensity with the 20 points Borg Scale. Results: The results indicate a large diversity of physical activity in terms of work done, energy consumption, heart rate. Nordic Walking classes were most intense (2.8 kJ/min, 3.5 kcal/min, 101.5 beats/min) and Tai Chi was least intense (0.5 kJ/min, 1.6 kcal/min , 65 beats/ min). Subjective evaluation of intensity (Borg Scale) of the trainings confirms the values obtained by the objective methods - quite heavy (14 points) in Nordic Walking and very light (10 points) in Tai Chi. Conclusions: There is a need for a reliable analysis of proposed forms for the elderly in Poland. Using multiple measurement tools will help to increase the objectivity of the evaluation and defining their impact on the capabilities of older people. A comprehensive assessment can be used in programming physical activity for older people.

scholarly journals Physical activity types and risk of dementia in community-dwelling older people: the Three-City cohort.

2020 ◽  
Author(s):  
Caroline Dupré ◽  
Bienvenue Bongue ◽  
Catherine Helmer ◽  
Jean François Dartigues ◽  
David Hupin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older People ◽  
Sport Activity ◽  
Apoe Genotype ◽  
Community Dwelling ◽  
Activity Level ◽  
Activity Levels ◽  
Dementia Risk ◽  
Sport Activities ◽  
Activity Types

Abstract Background Physical activity may decrease the risk of dementia; however, previous cohort studies seldom investigated the different types of physical activity and household activities. Our objective was to analyze the links between two physical activity types and dementia in older people. Methods The study used data from the prospective observational Three-city cohort and included 1550 community-dwelling individuals aged 72 to 87 without dementia at baseline. Physical activity was assessed with the Voorrips questionnaire. Two sub-scores were calculated to assess household/transportation activities and leisure/sport activities. Restricted cubic spline and proportional hazard Cox models were used to estimate the non-linear exposure-response curve for the dementia risk and the appropriate activity level thresholds. Models were adjusted for possible confounders, including socio-demographic variables, comorbidities, depressive symptoms and APOE genotype. Results The median age was 80 years, and 63.6% of participants were women. After a median follow-up of 4.6 years, dementia was diagnosed in 117 participants (7.6%). An inverse J-shaped association was found between household/transportation physical activity sub-score and dementia risk, which means that the risk is lowest for the moderately high values and then re-increases slightly for the highest values. The results remained significant when this sub-score was categorized in three classes (low, moderate, and high), with hazard ratios (95% confidence interval) of 0.55 (0.35-0.87) and 0.62 (0.38-1.01) for moderate and high activity levels, respectively. No significant effect was found for leisure/sport activities. Conclusions The 5-year risk of dementia was significantly and negatively associated with the household/transportation activity level, but not with the leisure and sport activity sub-score. This highlights the importance of considering all physical activity types in 72 years or older people.

scholarly journals A framework to foster analysis skill for self-directed activities in data-rich environment

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yuanyuan Yang ◽  
Rwitajit Majumdar ◽  
Huiyong Li ◽  
Gökhan Akçapinar ◽  
Brendan Flanagan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Undergraduate Students ◽  
Skill Acquisition ◽  
Learning System ◽  
Activity Levels ◽  
Learning Context ◽  
Context Analysis ◽  
Activity Data ◽  
Actual Usage ◽  
Goal System

AbstractSelf-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an appropriate plan can be set or not. This research presents a framework designed to foster students’ analysis skill in self-directed activities, which aims (1) to build a technology-enabled learning system allowing students to practice analyzing data from their own daily contexts, (2) to propose an approach to model student’s analysis skill acquisition level and process, and (3) to provide automated support and feedback for analysis skill development tasks. The analysis module based on the proposed framework was implemented in the GOAL system which synchronized data from learners’ physical and reading activities. A study was conducted with 51 undergraduate students to find reliable indicators for the model to then measure students’ analysis skills. By further analyzing students’ actual usage of the GOAL system, we found the actual activity levels and their preferences regarding analysis varied for the chosen contexts (learning and physical activity). The different context preference groups were almost equal, highlighting the utility of a system that integrates data from multiple contexts. Such a system can potentially respond to students’ individual preferences to execute and acquire self-direction skill.

scholarly journals Mindsets Predict Physical Activity and Relate to Chosen Management Strategies in Individuals with Knee Osteoarthritis

2021 ◽  
Author(s):  
Melissa A. Boswell ◽  
Kris M. Evans ◽  
Sean R. Zion ◽  
Danielle Z. Boles ◽  
Jennifer L. Hicks ◽  
...  
Keyword(s):  
Physical Activity ◽  
Knee Osteoarthritis ◽  
Online Survey ◽  
Management Strategies ◽  
The Elderly ◽  
Activity Level ◽  
Activity Levels ◽  
Group A ◽  
Test Retest Reliability ◽  
The Relationship

Objectives. We compared mindsets about physical activity among those with and without knee osteoarthritis and investigated if these mindsets relate to physical activity level and symptom management. Methods. Participants with (n=150) and without (n=152) knee osteoarthritis completed an online survey at study enrollment (T1). Participants with knee osteoarthritis repeated the survey three weeks later (T2; n=62). The mindset questionnaire, scored from 1-4, assessed the extent to which individuals associate the process of exercising with less appeal-focused qualities (e.g., boring, painful, isolating, and depriving) vs. appeal-focused (e.g., fun, pleasurable, social, and indulgent) versus. Using linear regression, we examined the relationship between mindset and having knee osteoarthritis, and, in the subgroup of participants with knee osteoarthritis, the relationship between mindset at T1 and physical activity (via the Physical Activity Scale for the Elderly) at T2. We also compared mindsets between those who use medication for management and those who use exercise. Results. A less appeal-focused mindset regarding physical activity was marginally associated with having knee osteoarthritis (β=-0.125, P=0.096). Within the knee osteoarthritis group, a more appeal-focused mindset predicted higher future physical activity (β=20.68, P=0.039), controlling for current physical activity, demographics, and health. Individuals that used exercise with or without pain medication or injections had more appeal-focused process mindsets than those who used medication or injections without exercise (P<0.001). Further, the process mindset inventory demonstrated strong internal consistency (α=0.92 at T1 for n=150 and α=0.92 at T2 for n=62) and test-retest reliability (ICC>0.841, P<0.001) within the knee osteoarthritis population. Conclusion. In individuals with knee osteoarthritis, mindsets predict future physical activity levels and relate to an individual's management strategy. Mindsets are a reliable and malleable construct and may be a valuable target for increasing physical activity and improving adherence to rehabilitation strategies involving exercise among individuals with knee osteoarthritis.

Predictors of Physical Activity Levels in Community-Dwelling Older Adults: A Multivariate Approach Based on a Socio-Ecological Framework

2018 ◽  
Vol 26 (1) ◽  
pp. 114-120 ◽  
Author(s):  
Koren L. Fisher ◽  
Elizabeth L. Harrison ◽  
Brenda G. Bruner ◽  
Joshua A. Lawson ◽  
Bruce A. Reeder ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Environmental Factors ◽  
The Elderly ◽  
Home Care Services ◽  
Community Dwelling ◽  
Nursing Home Care ◽  
Activity Levels ◽  
Inverse Association ◽  
Cross Sectional

The purpose of this study was to explore cross-sectional relationships between self-reported physical activity (PA) and personal, social, and environmental factors in community-dwelling adults aged 50 years and older. Accounting for clustering by neighborhood, generalized estimating equations were used to examine associations between selected correlates and the Physical Activity Scale for the Elderly (PASE) score while adjusting for confounders. Data for 601 participants were analyzed: 79% female, 37% married, mean age 76.8 (± 8.7) years, mean PASE score 112.6 (± 64.8). Age, living in seniors’ housing, using nursing/home care services, receiving encouragement to be active, and having benches available in the neighborhood were inversely associated with PASE. Self-efficacy, SF-12 score, PA barriers, social support, and the presence of trails showed positive associations. Several personal, social, and environmental factors associated with PA were identified. The inverse association between PA and living in seniors’ housing units should be considered when developing PA programs for older adults.

Relationship Between Physical Activity and the Availability of Exercise Facilities in an Urban Elderly Population: Cross-sectional Results from China

2020 ◽  
Author(s):  
Houlei Wang ◽  
Zhu ying Wang ◽  
Douye Kang ◽  
xuhui Zhang ◽  
Zhi-jian WU
Keyword(s):  
Physical Activity ◽  
Compliance Rate ◽  
Buffer Zone ◽  
The Elderly ◽  
Sports Facilities ◽  
Activity Levels ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Physical Activity Levels ◽  
Nanjing City

Abstract BACKGROUND: Sports facilities have great potential in promoting physical activity. Few studies have explored this relationship in the elderly. Therefore, this study explored the relationship between the community availability of sports facilities and physical activity levels in the elderly. METHODS: Overall, 569 elderly individuals (56.9% female) were randomly selected from 32 communities in Nanjing City. Participants were given accelerometers to wear for 4 consecutive days. A global positioning system and ActiGraph GT3+ device ware used to track, measure duration, and determine spatial details of outdoor activities. It was used to measure the availability of sports facilities within a 500-m buffer zone around the residence of the elderly. Sociodemographic variables and community types were included as covariates. RESULTS: Elderly individuals having 6–7 sports facilities in their buffer zone spent 9.19 minutes (95% confidence interval: 0.05–18.33) longer exercising than did individuals without facilities. Sex, age, and community type significantly influenced the duration of physical activity. After controlling for confounding factors, the physical activity standard reaching rate of the elderly with access to 6–7 sports facilities was 118% higher than that of elderly individuals without access. Further, the compliance rate of the elderly aged 60–65 years and the marginal community was relatively higher. The availability of sports facilities was associated with the probability of achieving the recommended amount of physical activity and moderate to high outdoor physical activity levels of the elderly. CONCLUSIONS: We show that the promotion of physical activity and the improvement of health status are based on facility availability, which in turn affects the physical activity levels of the elderly.

scholarly journals Do physical activity levels differ by number of children at home in women aged 25–44 in the general population?

2019 ◽  
Vol 15 ◽  
pp. 174550651987118 ◽  
Author(s):  
Laura P Abell ◽  
Kelly A Tanase ◽  
Madison L Gilmore ◽  
Anna E Winnicki ◽  
Victor L Holmes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Activity Level ◽  
Activity Levels ◽  
Related Factors ◽  
Number Of Children ◽  
Physical Activity Levels ◽  
At Home

Objectives: While physical activity is important for health, many women do not meet recommended levels, particularly mothers. The purpose of this study was to assess whether physical activity levels differ by number of children at home in women aged 25–44 in the general US population. Methods: This cross-sectional analysis used 2017 Behavioral Risk Factor Surveillance System data for females aged 25–44 (N = 6266) from California, Colorado, New York, Texas, and Utah. Ordered logistic regression analysis assessed the relationship between physical activity levels and number of children at home while controlling for state and demographic, socioeconomic, and health-related factors. Results: About half of participants reported “inactive” or “insufficiently active” physical activity levels and about two-thirds reported having one or more children at home. The results of adjusted analysis indicated that physical activity level was significantly related to having one child (adjusted odds ratio = 0.75, 95% confidence interval = 0.63, 0.89), two children (adjusted odds ratio = 0.79; 95% confidence interval = 0.67, 0.93), and three or more children (adjusted odds ratio = 0.80, 95% confidence interval = 0.67, 0.94) at home. Conclusion: Overall, physical activity levels were significantly related to presence of children at home for women aged 25–44, but increasing number of children at home did not impact effect size. For women aged 25–44 in a primary care setting, a moderate prevalence of inactive or insufficiently active physical activity may be expected. Providers should address physical activity with all patients in this target population during well-visits, but particularly for women with children at home; educate patients about the health benefits of regular physical activity; and provide resources that will help them integrate physical activity into their daily lifestyles.

scholarly journals Clinical Perspective on Internet of Things Applications for Care of the Elderly

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1925
Author(s):  
Soe Ye Yint Tun ◽  
Samaneh Madanian ◽  
Dave Parry
Keyword(s):  
Internet Of Things ◽  
Older People ◽  
Clinical Utility ◽  
Elderly Care ◽  
The Elderly ◽  
Aged Care ◽  
Information Technology Professionals ◽  
Future Research ◽  
Iot Applications ◽  
Iot Devices

The elderly population is increasing globally, putting more pressure on aged care and public health systems. To address this issue and help increase the independence of older people, different digital technologies, including the Internet of things (IoT), can play an important role. Although there has been an increase in the number of studies in this field, most of them concentrate on IoT applications in elderly care from a technology perspective, with very little contribution from the clinical side. Therefore, this paper aims to investigate and identify the available IoT applications and their clinical utility for common diseases in elderly people. The results of this study could be useful for information technology professionals in developing and understanding the clinical requirements for IoT applications in healthcare for older people. Clinicians will also be informed about the clinical possibilities of using IoT devices in this area. Based on our findings, future research should focus on enhancing the clinical utility of current IoT applications in different settings and on developing new applications to support practitioners and older people.

Effect of interventions using physical activity trackers on physical activity in people aged 60 years and over: a systematic review and meta-analysis

2019 ◽  
Vol 54 (20) ◽  
pp. 1188-1194 ◽  
Author(s):  
Juliana S Oliveira ◽  
Cathie Sherrington ◽  
Elizabeth R Y Zheng ◽  
Marcia Rodrigues Franco ◽  
Anne Tiedemann
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Physical Activity ◽  
Systematic Review ◽  
Older People ◽  
Activity Levels ◽  
Activity Tracker ◽  
Activity Trackers ◽  
The Impact

BackgroundOlder people are at high risk of physical inactivity. Activity trackers can facilitate physical activity. We aimed to investigate the effect of interventions using activity trackers on physical activity, mobility, quality of life and mental health among people aged 60+ years.MethodsFor this systematic review, we searched eight databases, including MEDLINE, Embase and CENTRAL from inception to April 2018. Randomised controlled trials of interventions that used activity trackers to promote physical activity among people aged 60+ years were included in the analyses. The study protocol was registered with PROSPERO, number CRD42017065250.ResultsWe identified 23 eligible trials. Interventions using activity trackers had a moderate effect on physical activity (23 studies; standardised mean difference (SMD)=0.55; 95% CI 0.40 to 0.70; I2=86%) and increased steps/day by 1558 (95% CI 1099 to 2018 steps/day; I2=92%) compared with usual care, no intervention and wait-list control. Longer duration activity tracker-based interventions were more effective than short duration interventions (18 studies, SMD=0.70; 95% CI 0.47 to 0.93 vs 5 studies, SMD=0.14; 95% CI −0.26 to 0.54, p for comparison=0.02). Interventions that used activity trackers improved mobility (three studies; SMD=0.61; 95% CI 0.31 to 0.90; I2=10%), but not quality of life (nine studies; SMD=0.09; 95% CI −0.07 to 0.25; I2=45%). Only one trial included mental health outcomes and it reported similar effects of the activity tracker intervention compared with control.ConclusionsInterventions using activity trackers improve physical activity levels and mobility among older people compared with control. However, the impact of activity tracker interventions on quality of life, and mental health is unknown.

Impact of a five-month detraining period on the functional fitness and physical activity levels on active older people

2020 ◽  
Vol 91 ◽  
pp. 104191
Author(s):  
Daniel Martínez-Aldao ◽  
José Carlos Diz ◽  
Silvia Varela ◽  
Miguel Adriano Sánchez-Lastra ◽  
Carlos Ayán
Keyword(s):  
Physical Activity ◽  
Older People ◽  
Activity Levels ◽  
Functional Fitness ◽  
Physical Activity Levels
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