Health-related lifestyle and dropout from a web-based physical activity intervention trial in older adults: A latent profile analysis.

2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  
2016 ◽  
Vol 93 ◽  
pp. 57-63 ◽  
Author(s):  
Michael Todd ◽  
Marc A. Adams ◽  
Jonathan Kurka ◽  
Terry L. Conway ◽  
Kelli L. Cain ◽  
...  

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


2011 ◽  
Vol 20 (4) ◽  
pp. 367-373 ◽  
Author(s):  
C. K. John Wang ◽  
Stuart J. H. Biddle ◽  
Woon Chia Liu ◽  
B. S. Coral Lim

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).


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S930-S930
Author(s):  
Elizabeth Teas ◽  
Jay Kimiecik ◽  
Rose Marie Ward ◽  
Kyle Timmerman

Abstract Heart disease is prevalent among older adults. The aim of this study was to a) identify different health behavioral motivation profiles among older adults; and b) investigate if these profiles differed in physical activity and cardiometabolic risk factors. Data on 79 participants (mean age = 68.76 years) was collected. Participants’ degree of intrinsic/extrinsic motivation for diet and exercise was assessed using intuitive eating and self-determination scales. Cardiometabolic risk factors included inflammation and blood lipids. Latent profile analysis was used to identify the optimal number of groups and one-way ANOVAs assessed group differences on the variables of interest. Three profiles were found to best represent the data. The most self-determined, or most intrinsically motivated, group comprised the highest number of participants. In line with Self-Determination Theory, this group demonstrated the highest levels of objective and self-reported physical activity as well as the lowest inflammation and most optimal cholesterol measures. The group with the lowest intuitive eating and high identified exercise regulation scores exhibited the worst outcomes among the three groups. The results suggest that among older adults, different types and levels of motivation for diet and exercise can coexist and interact, and these differences produce varying health outcomes. If supported by future work, these findings can inform practitioners in developing more specific and tailored interventions relevant to older adults based on their motivational profile.


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

2020 ◽  
Vol 273 ◽  
pp. 223-230
Author(s):  
Alvaro Sicilia ◽  
Manuel Alcaraz-Ibáñez ◽  
João Guilherme Cren Chiminazzo ◽  
Paula Teixeira Fernandes

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