scholarly journals Role of physical activity, physical fitness, and chronic health conditions on the physical independence of community-dwelling older adults over a 5-year period

2016 ◽  
Vol 65 ◽  
pp. 45-53 ◽  
Author(s):  
Catarina Pereira ◽  
Fátima Baptista ◽  
Ana Cruz-Ferreira
2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kristy L. Smith ◽  
Kelly Carr ◽  
Alexandra Wiseman ◽  
Kelly Calhoun ◽  
Nancy H. McNevin ◽  
...  

The identification of barriers to physical activity and exercise has been used for many decades to explain exercise behavior in older adults. Typically health concerns are the number one barrier to participation. Data from CCHS-HA dataset(N=20,875)were used to generate a sample of Canadians, 60+ years, who did not identify a health condition limitation, illness, or injury as a barrier to participation in physical activity(n=4,900)making this dataset unique in terms of the study of barriers to participation. While the vast majority of older adults participated in physical activity, 9.4% did not. The relationships between nonparticipation, barriers, self-reported health status, and chronic health conditions were determined using binary logistic regression. The main findings suggest that traditional barriers and self-reported health status are not responsible for nonparticipation. Nonparticipation was best predicted by chronic health conditions suggesting a disconnect between self-reported health status and underlying health conditions. The data are clear in suggesting that barriers are not the limiting factor and physical activity programming must be focused on meeting the health needs of our aging population.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yoshita Paliwal ◽  
Patricia W. Slattum ◽  
Scott M. Ratliff

Falls are an important health concern among older adults due to age-related changes in the body. Having a medical history of chronic health condition may pose even higher risk of falling. Only few studies have assessed a number of chronic health conditions as risk factor for falls over a large nationally representative sample of US older adults. In this study, Behavioral Risk Factor Surveillance System (BRFSS) 2014 participants aged 65 years and older (n = 159,336) were evaluated. It was found that 29.7% (n=44,550) of the sample experienced at least one fall and 16.3% (n=20,444) experienced more than one fall in the past 12 months. According to the study findings, having a medical history of stroke, CKD, arthritis, depression, and diabetes independently predict the risk of first-time falling as well as the risk of recurrent falling in older adult population while controlling for other factors. On the other hand, having a medical history of the heart attack, angina, asthma, and COPD did not predict the risk of first-time falling, but did predict the risk of recurrent falling after experiencing the first fall in this population.


2010 ◽  
Vol 34 (2) ◽  
pp. 98-114 ◽  
Author(s):  
Elizabeth L. Harrison ◽  
Koren L. Fisher ◽  
Joshua A. Lawson ◽  
Karen E. Chad ◽  
M. Suzanne Sheppard ◽  
...  

Author(s):  
Johannes William Vergouw ◽  
Hanneke Smits-Pelser ◽  
Marijke C. Kars ◽  
Thijs van Houwelingen ◽  
Harmieke van Os-Medendorp ◽  
...  

Abstract Background: The strain on health care services is increasing due to an ageing population and the increasing prevalence of chronic health conditions. eHealth could contribute to optimise effective and efficient care to older adults with one or more chronic health conditions in the general practice. Aim: The aim of this study was to identify the needs, barriers and facilitators amongst community-dwelling older adults (60+) suffering from one or more chronic health conditions, in using online eHealth applications to support general practice services. Methods: A qualitative study, using semi-structured followed by think-aloud interviews, was conducted in the Netherlands. The semi-structured interviews, supported by an interview guide were conducted and analysed thematically. The think-aloud method was used to collect data about the cognitive process while the participant was completing a task within online eHealth applications. Verbal analysis according to the Chi approach was conducted to analyse the think-aloud interviews. Findings: A total of n = 19 older adults with a mean age of 73 years participated. The ability to have immediate contact with the GP on important health issues was identified as an important need. Identified barriers were non-familiarity with the online eHealth applications and a mismatch of user health needs. The low computer experience resulted in non-familiarity with the online eHealth applications. Faltering applications resulted in participants refusing to participate in the use of online eHealth applications. Convenience, efficiency and the instant availability of eHealth via applications were identified as important facilitators. Conclusion: To improve the use and acceptability of eHealth applications amongst older adults in the general practice, the applications should be tailored to meet individual needs. More attention should be given to improving the user-friendliness of these applications and to the promotion of the benefits such as facilitating older adults independent living for longer.


2021 ◽  
Vol 18 (S1) ◽  
pp. S53-S63
Author(s):  
John D. Omura ◽  
Eric T. Hyde ◽  
Giuseppina Imperatore ◽  
Fleetwood Loustalot ◽  
Louise Murphy ◽  
...  

Background: Physical activity is central to the management and control of many chronic health conditions. The authors examined trends during the past 2 decades in the prevalence of US adults with and without select chronic health conditions who met the minimal aerobic physical activity guideline. Methods: The 1998–2018 National Health Interview Survey data were analyzed. Prevalence of meeting the minimal aerobic physical activity guideline among adults with and without 6 chronic health conditions was estimated across 3-year intervals. Linear and higher-order trends were assessed overall and by age group. Results: During the past 2 decades, prevalence of meeting the aerobic guideline increased among adults with diabetes, hypertension, coronary heart disease, stroke, cancer, and arthritis. However, the absolute increase in prevalence was lower among adults with hypertension, coronary heart disease, and arthritis compared to counterparts without each condition, respectively. Prevalence was persistently lower among those with most chronic health conditions, except cancer, and among older adults compared to their counterparts. Conclusions: Although rising trends in physical activity levels among adults with chronic health conditions are encouraging for improving chronic disease management, current prevalence remains low, particularly among older adults. Increasing physical activity should remain a priority for chronic disease management and control.


2019 ◽  
Vol 46 (1) ◽  
pp. 14-20 ◽  
Author(s):  
CLÓVIS ALEXANDRINO-SILVA ◽  
SALMA ROSE RIBEIZ ◽  
MARIA BEATRIZ FRIGERIO ◽  
LUCAS BASSOLLI ◽  
TÂNIA FERRAZ ALVES ◽  
...  

2015 ◽  
pp. 1-8
Author(s):  
C. SIORDIA

Background: Assessing mobility through readily available and affordable protocols may help advance public health by providing early detection and implementing intervention therapies aimed at mitigating the progression from physiological vitality to disability at older ages. Until now, little attention has been given to how self-reported mobility (SRM) and gait speed can be combined in a categorization scheme. Objectives: The specific aim of this report is to introduce the Ambulation Speed-Endurance (ASE) Typology to the literature—a classification system that intersects SRM and gait speed to create a multi-dimensional measure of ambulation. Design: Cross-sectional. Setting: Community-dwelling older adults in the United States. Participants: Evidence is provided from the National Health and Aging Trends Study (NHATS) that community-dwelling older adults (n=5,403) may be found in each of the ASE Typologies. The discussion is complimented by investigating the cross-sectional predictors of a “Discrepancy Score” (measure of gap between speed and endurance) amongst those with gait speeds < 0.99 m/sec (n=4,521). Results: Multivariable linear regression results indicate level of severity in speed-endurance discrepancy is higher amongst: non-Latino-Blacks (β=0.48); Latinos (β=0.42); older ages; and lower educated. Models also show that severity in speed-endurance discrepancy is lower amongst: females (β=-0.38); those with higher body mass index; with more chronic health conditions; and poorer self-rated health. Conclusion: Research should continue to investigate how to optimize SRM.


2005 ◽  
Author(s):  
Bruce Reeder ◽  
Karen Chad ◽  
Liz Harrison ◽  
Nigel Ashworth ◽  
Suzanne Sheppard ◽  
...  

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