scholarly journals WEB-BASED PHYSICAL ACTIVITY INTERVENTION IN MIDDLE-AGED AND OLDER ADULT VETERANS WITH COPD

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S430-S430
Author(s):  
Stephanie A Robinson ◽  
Stephanie A Robinson ◽  
Deanna L Mori ◽  
Caroline R Richardson ◽  
Marilyn L Moy

Abstract Physical activity (PA) is recommended in all patients with chronic obstructive pulmonary disease (COPD). Technology-based interventions can deliver effective, scalable behavior-change techniques; though feasibility and acceptability among older adults is not established. Veterans with COPD (N=112, aged 49-89 years, median=68) were randomized to a 12-week web-based and pedometer intervention or a pedometer alone (control). Across groups, there was no significant difference between middle-aged (<68 years) and older (≥68 years) adults in percentage of pedometer wear-days over the study period (83.6% vs. 89.9%). In the intervention, there were no significant differences between middle-aged and older adults in total number of website logons (15.04 vs. 16.31), or proportion who reported they recommended the intervention (96.4% vs. 96.7%), found it easy to use (93.1% vs. 90.0%), and would continue to walk (93.1% vs. 89.7%). We conclude that a web-based PA intervention with a pedometer is feasible and acceptable in an older COPD population.

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033305 ◽  
Author(s):  
Stephanie Alley ◽  
Jannique GZ van Uffelen ◽  
Stephanie Schoeppe ◽  
Lynne Parkinson ◽  
Susan Hunt ◽  
...  

IntroductionPhysical activity is an integral part of healthy ageing, yet the majority of older adults 65+ years are not sufficiently active. Web-based physical activity interventions hold much promise to reach older adults. Preliminary evidence suggests that web-based interventions with tailored advice and Fitbits may be well suited for older adults.Methods and analysisThis study aims to test the effectiveness of ‘Active for Life’, a 12-week computer-tailored web-based physical activity intervention using Fitbits for older adults. We will recruit 300 participants who will be randomly assigned to one of three trial arms: (1) web-based physical activity intervention with tailored advice only, (2) web-based physical activity intervention with tailored advice and Fitbit or (3) a wait-list control. The primary outcome, objective moderate to vigorous physical activity (MVPA) and secondary outcomes of objective sedentary behaviour, objective sleep, quality of life, social support, physical function and satisfaction with life will be assessed at baseline and week 12. The secondary outcomes of self-reported physical activity, sitting time and sleep will be assessed at baseline, week 6, 12 and 24. Website usability and participant satisfaction will be assessed at week 12 and website usage and intervention fidelity will be assessed from week 1 to 24. Intention-to-treat linear mixed model analyses will be used to test for group (tailoring only, tailoring +Fitbit, control) differences on changes in the main outcome, MVPA and secondary outcomes. Generalised linear models will be used to compare intervention groups (tailoring only, tailoring +Fitbit) on website usability, participant satisfaction, website usage and intervention fidelity.Ethics and disseminationThe study has received ethics approval from the Central Queensland University Human Research Ethics Committee (H16/12-321). Study outcomes will be disseminated through peer-reviewed publications and academic conferences and used to inform improvements and dissemination of a tailored, web-based physical activity intervention for adults 65+ years.Trial registration numberAustralian and New Zealand Clinical Trials Registry Number: ACTRN12618000646246


2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  

2021 ◽  
Author(s):  
Claudia Pischke ◽  
Claudia Voelcker-Rehage ◽  
Tiara Ratz ◽  
Manuela Peters ◽  
Christoph Buck ◽  
...  

BACKGROUND Despite the crucial role of regular physical activity (PA) for preventing chronic non-communicable diseases, fewer than half of older adults in Germany engage in the recommended levels of endurance training. OBJECTIVE The aim of this study was to compare acceptance and effectiveness of two interventions (web- vs. print-based) for PA promotion among initially inactive community-dwelling older adults aged 60 years and above in a nine-month randomized trial with a cross-over design. METHODS Participants were recruited offline and randomized to one of the following interventions for self-monitoring PA: (a) a print-based intervention (PRINT n=113), (b) a web-based intervention (WEB, n=129). Thirty percent (n=38) of those in group (b) received a PA tracker in addition to WEB (WEB+, (c)). After randomization, participants and researchers were not blinded. Participants’ intervention preferences at baseline were assessed retrospectively. All intervention groups were offered ten weekly face-to-face group sessions led by trained assistants. Afterwards, participants could choose to stay in their group or cross over to one of the other groups and group sessions were continued monthly for another six months. Three-dimensional accelerometers to assess PA and sedentary behavior (SB) at baseline (T0), three-month (T1) and nine-month follow-ups (T2) were employed. Adherence to PA recommendations, attendance of group sessions, and acceptance of the interventions were assessed via self-administered paper-based questionnaires. Linear mixed models were used to calculate differences in moderate-to-vigorous PA (MVPA) and SB between time points and intervention groups. RESULTS One-hundred and ninety-five participants completed T1. Only n=1 changed from WEB to PRINT and n=15 moved from PRINT to WEB (WEB-WEB: n=103, PRINT-PRINT: n=76) when offered to cross over at T1. One-hundred and sixty participants completed T2. MVPA in min per day increased between baseline and T1, but these within-group changes in time disappeared after adjusting for covariates. MVPA decreased by 9 min per day between baseline and T2 (βtime = -9.37, 95% CI: [-18.58; -0.16]), regardless of intervention group (WEB vs. PRINT: βgroup*time = -3.76, 95% CI: [-13.33; 5.82], WEB+ vs. PRINT: βgroup*time = 1.40, 95% CI: [-11.04; 13.83]). Nineteen percent of the participants met PA recommendations at T0, 20% at T1, and 20% at T2. For SB, there were no significant group differences and group-by-time interactions, neither at T1 nor at T2. Intervention acceptance was generally high. Use of intervention material was high to moderate at T1 (e.g., the PA diary was used by over 65% at least once a week) and decreased by T2 (40-50% in PRINT and in WEB used the PA diary at least once a week, and 58% in WEB+). CONCLUSIONS Despite high levels of acceptance of web- and print-based interventions for PA promotion and little movement between groups at T1, when given the choice, participation was not associated with increases in PA or decreases in SB over time. CLINICALTRIAL German Clinical Trials Register DRKS00016073 (Date of registration 10–01-2019).


Author(s):  
Denise Peels ◽  
Catherine Bolman ◽  
Rianne Henrica Johanna Golsteijn ◽  
Hein de Vries ◽  
Aart Mudde ◽  
...  

2016 ◽  
Vol 5 (1) ◽  
pp. 39-49 ◽  
Author(s):  
L.R. Brawley ◽  
P.K. Flora ◽  
S.R. Locke ◽  
M.S.H. Gierc

In this paper, we argue that the social influence of the group is a supportive medium for older adult thriving. To promote the physical well-being aspect of thriving, we discuss groups as one means of offering social support. We present a specific model of physical activity intervention (i.e., group-mediated cognitive behavioral intervention) that uses deliberately-formed interactive groups to help motivate older adults to engage in and sustain physical activity. Our article includes four sections that concern the GMCB intervention model. The first serves as background as to why groups can be powerful behavior change agents and describes the basic model of group motivated intervention. The second section provides a generic description of the intervention structure and how the GMCB intervention is conducted. The third section presents a meta-analytic summary of results of older adult GMCB physical activity interventions across three levels of outcomes: adherence to physical activity, functional and physiological, and social cognitive. The fourth section concludes with commentary about the translational perspective for the GMCB in the future.


JMIR Aging ◽  
10.2196/19527 ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. e19527
Author(s):  
Stephanie A Robinson ◽  
Emily S Wan ◽  
Stephanie L Shimada ◽  
Caroline R Richardson ◽  
Marilyn L Moy

Background Chronic obstructive pulmonary disease (COPD) is prevalent among older adults. Promoting physical activity and increasing exercise capacity are recommended for all individuals with COPD. Pulmonary rehabilitation is the standard of care to improve exercise capacity, although there are barriers that hinder accessibility. Technology has the potential to overcome some of these barriers, but it is unclear how aging adults with a chronic disease like COPD perceive technology-based platforms to support their disease self-management. Objective Guided by the unified theory of acceptance and use of technology, the current retrospective secondary analysis explores if age moderates multiple factors that influence an individual with COPD’s openness toward an internet-mediated, pedometer-based physical activity intervention. Methods As part of an efficacy study, participants with COPD (N=59) were randomly assigned to use an internet-mediated, pedometer-based physical activity intervention for 12 weeks. At completion, they were asked about their experience with the intervention using a survey, including their performance expectancy and effort expectancy, facilitating conditions (ie, internet use frequency and ability), and use of the intervention technology. Logistic regression and general linear modeling examined the associations between age and these factors. Results Participants ranged in age from 49 to 89 years (mean 68.66, SD 8.93). Disease severity was measured by forced expiratory volume in the first second percent predicted (mean 60.01, SD 20.86). Nearly all participants (54/59) believed the intervention was useful. Regarding effort expectancy, increasing age was associated with reporting that it was easy to find the time to engage in the intervention. Regarding facilitating conditions, approximately half of the participants believed the automated step count goals were too high (23/59) and many did not feel comfortable reaching their goals (22/59). The probability of these perceptions increased with age, even after accounting for disease severity. Age was not associated with other facilitating conditions or use of the technology. Conclusions Age does not influence performance expectancy or use of technology with an internet-mediated, pedometer-based physical activity intervention. Age is associated with certain expectations of effort and facilitating conditions. Consideration of age of the user is needed when personalizing step count goals and time needed to log in to the website. Trial Registration ClinicalTrials.gov NCT01772082; https://clinicaltrials.gov/ct2/show/NCT01772082


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