Effect of peer-led adapted aquatics on functional fitness, self-efficacy, and postural stability among older adults

2022 ◽  
pp. 1-12
Author(s):  
Jihyun Lee ◽  
Adriane Cris Tomimbang ◽  
Jongil Lim
Keyword(s):  
Older Adults ◽  
Self Efficacy ◽  
Postural Stability ◽  
Functional Fitness

Aging and the Time Needed to Reacquire Postural Stability

2003 ◽  
Vol 11 (4) ◽  
pp. 459-469 ◽  
Author(s):  
Clare B. Johnson ◽  
Shannon L. Mihalko ◽  
Karl M. Newell
Keyword(s):  
Older Adults ◽  
Correlation Analysis ◽  
Self Efficacy ◽  
Postural Stability ◽  
Step Length ◽  
Force Platform ◽  
Daily Activities ◽  
Cohort Groups

The study reported had three purposes, namely, to analyze the effect of aging (cohort groups 20–29, 60–69, 70–79, and 80–89 years of age), step length, and self-efficacy on the time to reacquire stability after the execution of a step. The analysis of force-platform data showed that the time to reacquire a stable posture after taking a step increased with increments of age. Correlation analysis showed that older adults were less confident in their ability to complete daily activities without falling or losing balance and that participants with lower levels of balance-related efficacy required a longer time to reacquire stability. These findings provide evidence that aging imposes temporal limitations in the regaining of postural stability that are related to individuals’ perceptions of balance and falls efficacy.

scholarly journals Self-Monitoring of Balance Performance can Reduce the Rate of Falls Among Older Adults

2021 ◽  
Vol 3 ◽  
Author(s):  
Katharine E. Forth ◽  
Charles S. Layne ◽  
Stefan I. Madansingh
Keyword(s):  
Older Adults ◽  
Health Behaviors ◽  
Self Efficacy ◽  
Fall Risk ◽  
Postural Stability ◽  
Self Regulation ◽  
Risk Category ◽  
Balance Performance ◽  
Self Monitoring ◽  
Fall Rates

Background: 29% of older adults fall annually, resulting in the leading cause of accidental death. Fall prevention programs typically include exercise training and self-monitoring of physical activity has a positive effect on the self-efficacy and self-regulation of exercise behaviors. We assessed if self-monitoring of fall risk, without an intervention, impacts fall rates.Methods: Fifty-three older adults had open access to a balance measuring platform which allowed them to self-monitor their postural stability and fall risk using a simple 1-min standing balance test. 12-month retrospective fall history was collected and a monthly/bimonthly fall log captured prospective falls. Participants had access to self-monitoring for up to 2.2 years. Fall history and fall incidence rate ratios and their confidence intervals were compared between the periods of time with and without access to self-monitoring.Results: A 54% reduction in the number of people who fell and a 74% reduction in the number of falls was observed when participants were able to self-monitor their postural stability and fall risk, after normalizing for participation length. Further, 42.9% of individuals identified as having high fall risk at baseline shifted to a lower risk category at a median 34 days and voluntarily measured themselves for a longer period of time.Discussion: We attribute this reduction in falls to changes in health behaviors achieved through empowerment from improved self-efficacy and self-regulation. Providing older adults with the ability to self-monitor their postural stability and intuit their risk of falling appears to have modified their health behaviors to successfully reduce fall rates.

Improving Older Adults' Computer Attitudes and Self-Efficacy

2006 ◽  
Author(s):  
Luciana Lagana ◽  
Michelle Maciel ◽  
Maria Bratly ◽  
Judy Urquidi ◽  
Luciana Esposito
Keyword(s):  
Older Adults ◽  
Self Efficacy ◽  
Computer Attitudes

Self-Efficacy and Gender on Cognitive Performances in Older Adults

2007 ◽  
Author(s):  
Juliet Acolatse ◽  
Olga Rosito ◽  
Rowena G. Gomez
Keyword(s):  
Older Adults ◽  
Self Efficacy ◽  
And Gender

The Relationship Between Fear of Falling and Functional Fitness among Older Adults Living in Rest Home

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
H Tuna ◽  
Ö Bozan ◽  
B Gürpınar ◽  
N İlçin
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Fall Risk ◽  
Fear Of Falling ◽  
Dynamic Balance ◽  
Upper Body ◽  
Functional Fitness ◽  
Fall Risk Factors ◽  
Rest Home ◽  
History Of

Objective: This study aimed to report the fear of falling and assess its associations with several fall-related characteristics and functional fitness parameters among older adults living in the rest home. Methods: Seventy-eight older adults aged between 65-94 years were included in the study. History of falling and the number of risk factors for falling were recorded. Fear of falling was evaluated with The Falls Efficacy ScaleInternational. Functional fitness was assessed with Senior Fitness Test, including tests for the functional measurement of strength, flexibility, aerobic endurance and dynamic balance. Result: The mean age of participants was 78.46±7.16 years. There were correlations exist between fear of falling and number of fall risk factors, dynamic balance, upper body flexibility and aerobic endurance (p<0.05). Multiple linear regression analysis showed that the parameters with the highest determinants of fear of falling were the dynamic balance and history of falling (p<0.05). Conclusions: In our study, history of falling, number of fall risk factors, flexibility for the upper body, aerobic endurance and dynamic balance were parameters related to fear of falling among older adults, but the most influential factors in fear of falling were dynamic balance and history of falling.

scholarly journals Older Adults’ Adherence to Technology-Based Intervention: The Role of Messaging and Individual Differences

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 555-555
Author(s):  
Walter Boot ◽  
Nelson Roque ◽  
Erin Harrell ◽  
Neil Charness
Keyword(s):  
Older Adults ◽  
Individual Differences ◽  
Health Behaviors ◽  
Individual Difference ◽  
Cognitive Training ◽  
Self Efficacy ◽  
Message Framing ◽  
Training Intervention ◽  
Home Technology

Abstract Adherence to health behaviors is often poor, including adherence to at-home technology-based interventions. This study (N=120) explored adherence to a cognitive training intervention delivered via computer tablet, assessed adherence over a 4.5 month period, explored how individual difference factors shaped adherence, and tested the efficacy of message framing manipulations (positive vs. negative framing) in boosting adherence. Individual difference factors predicted adherence, including variations in self-efficacy and belief in the efficacy of cognitive training. Overall message framing had little impact. However, during the final portion of the study in which participants were asked to play as much or as little as they wanted instead of following a schedule, participants who received positively framed messages engaged with the intervention more. Implications for predicting and boosting adherence to home delivered technology-based interventions will be discussed.

scholarly journals Promoting Problem Solving About Health Management: A Mixed-Methods Pilot Evaluation of a Digital Health Intervention for Older Adults With Pre-Frailty and Frailty

2021 ◽  
Vol 7 ◽  
pp. 233372142098568
Author(s):  
Annie T. Chen ◽  
Frances Chu ◽  
Andrew K. Teng ◽  
Soojeong Han ◽  
Shih-Yin Lin ◽  
...  
Keyword(s):  
Older Adults ◽  
Mixed Methods ◽  
Health Literacy ◽  
Problem Solving ◽  
Self Efficacy ◽  
Health Management ◽  
Digital Health ◽  
Post Intervention ◽  
Problem Solving Skills ◽  
Health Related

Background: There is a need for interventions to promote health management of older adults with pre-frailty and frailty. Technology poses promising solutions, but questions exist about effective delivery. Objectives: We present the results of a mixed-methods pilot evaluation of Virtual Online Communities for Older Adults (VOCALE), an 8-week intervention conducted in the northwestern United States, in which participants shared health-related experiences and applied problem solving skills in a Facebook group. Methods: We performed a mixed-methods process evaluation, integrating quantitative and qualitative data, to characterize the intervention and its effects. We focus on four areas: health-related measures (health literacy and self-efficacy), participation, problem solving skills enacted, and subjective feedback. Results: Eight older adults with pre-frailty and frailty (age = 82.7 ± 6.6 years) completed the study. There was an upward trend in health literacy and health self-efficacy post-intervention. Participants posted at least two times per week. Content analysis of 210 posts showed participants were able to apply the problem solving skills taught, and exit interviews showed participants’ increased awareness of the need to manage health, and enjoyment in learning about others. Conclusion: This mixed-methods evaluation provides insight into feasibility and design considerations for online interventions to promote health management among vulnerable older adults.

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