The moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults

This study aimed to assess the moderating effect of social support on the effectiveness of a web-based, computer-tailored physical activity intervention for older adults. In the Active for Life trial, 243 inactive adults aged 65+ years were randomised into: (1) tailoring + Fitbit (n = 78), (2) tailoring-only (n = 96) or (3) control (n = 69). For the current study, participants were categorised as having higher (n = 146) or lower (n = 97) social support based on the Duke Social Support Index (DSSI_10). Moderate-to-vigorous physical activity (MVPA) was measured through accelerometers at baseline and post-intervention. A linear mixed model analysis demonstrated that among participants with lower social support, the tailoring + Fitbit participants, but not the tailoring only participants increased their MVPA more than the control. Among participants with higher social support, no differences in MVPA changes were observed between groups. Web-based computer-tailored interventions with Fitbit integration may be more effective in older adults with lower levels of social support.

Physical activity, sedentary behaviour, and cognitive function among older adults: A bibliometric analysis from 2004 to 2024

Because of population ageing, there will be a vast increase in the prevalence of cognitive decline and dementia. Physical activity and sedentary behaviour have been identified as modifiable lifestyle behaviours associated with these cognitive conditions. Therefore, the aim of this bibliometric analysis is to reveal the knowledge structure of the field of physical activity, sedentary behaviour, and cognitive function among older adults from 2004 to 2024, and to predict emerging research trends. A total of 1290 publications were retrieved from the Web of Science Core Collection. CiteSpace and VOSviewer were applied to conduct performance analysis, science mapping, and enrichment. T. Liu-Ambrose was the most prolific author (39 publications), and the University of British Columbia was the most prolific institution (48 publications). The USA, China, and Canada were the three most productive countries with 392, 174, and 136 publications respectively. Two research trends revealed the knowledge structure of this field, including the shift from evaluating the effectiveness of interventions on cognitive function to evaluating the effectiveness of interventions on other health-related outcomes, as well as an expansion of research on the role of physical activity and sedentary behaviour in the context of healthy ageing. Sleep, sedentary behaviour, and virtual reality may be emerging research trends and may predict directions for future research. Collectively, this bibliometric analysis provides a one-step overview of the knowledge structure in this field for researchers and other stakeholders, as well as a reference for future research.

Engagement, acceptability, usability and satisfaction with Active for Life, a computer-tailored web-based physical activity intervention using Fitbits in older adults

BACKGROUND

Preliminary evidence suggests that web-based physical activity interventions with tailored advice and Fitbit integration are effective and may be well suited to older adults. Therefore, this study aimed to examine the engagement, acceptability, usability, and satisfaction with 'Active for Life,' a web-based physical activity intervention providing computer-tailored physical activity advice to older adults.

METHODS

Inactive older adults (n = 243) were randomly assigned into 3 groups: 1) tailoring + Fitbit, 2) tailoring only, or 3) a wait-list control. The tailoring + Fitbit group and the tailoring-only group received 6 modules of computer-tailored physical activity advice over 12 weeks. The advice was informed by objective Fitbit data in the tailoring + Fitbit group and self-reported physical activity in the tailoring-only group. This study examined the engagement, acceptability, usability, and satisfaction of Active for Life in intervention participants (tailoring + Fitbit n = 78, tailoring only n = 96). Wait-list participants were not included. Engagement (Module completion, time on site) were objectively recorded through the intervention website. Acceptability (7-point Likert scale), usability (System Usability Scale), and satisfaction (open-ended questions) were assessed using an online survey at post intervention. ANOVA and Chi square analyses were conducted to compare outcomes between intervention groups and content analysis was used to analyse program satisfaction.

RESULTS

At post-intervention (week 12), study attrition was 28% (22/78) in the Fitbit + tailoring group and 39% (37/96) in the tailoring-only group. Engagement and acceptability were good in both groups, however there were no group differences (module completions: tailoring + Fitbit: 4.72 ± 2.04, Tailoring-only: 4.23 ± 2.25 out of 6 modules, p = .14, time on site: tailoring + Fitbit: 103.46 ± 70.63, Tailoring-only: 96.90 ± 76.37 min in total, p = .56, and acceptability of the advice: tailoring + Fitbit: 5.62 ± 0.89, Tailoring-only: 5.75 ± 0.75 out of 7, p = .41). Intervention usability was modest but significantly higher in the tailoring + Fitbit group (tailoring + Fitbit: 64.55 ± 13.59, Tailoring-only: 57.04 ± 2.58 out of 100, p = .003). Participants reported that Active for Life helped motivate them, held them accountable, improved their awareness of how active they were and helped them to become more active. Conversely, many participants felt as though they would prefer personal contact, more detailed tailoring and more survey response options.

CONCLUSIONS

This study supports web-based physical activity interventions with computer-tailored advice and Fitbit integration as engaging and acceptable in older adults.

TRIAL REGISTRATION

Australian and New Zealand Clinical Trials Registry: ACTRN12618000646246. Registered April 23 2018, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374901.

O2-7 Leading the Way Together: A cluster randomised controlled trial of the 5R Shared Leadership Program in older adult walking groups

Background

With a rapidly ageing society, healthy ageing has become a key challenge for older adults. Engagement in physical activity, and particularly walking, is a key strategy that contributes to healthy ageing. The present study aimed to evaluate the efficacy of a group walking program for older adults that incorporates the 5R Shared Leadership Program (5RS), compared to a regular group walking program. By implementing a structure of shared leadership and strengthening peer leaders' identity leadership, 5RS has in other contexts been associated with greater performance and well-being.

Methods

Our cluster randomised controlled trial included 19 older adult walking groups (i.e., the clusters; N = 503; Mage = 69.23 years, SD = 6.68), which all participated in a 12-week structured group walking program. Nine of these walking groups (n = 304) were randomly assigned to the intervention condition and received additionally the 5RS program.

Results

Results revealed that 5RS was successful in strengthening the identity leadership qualities of the appointed peer leaders. Moreover, multilevel regressions showed that 5RS succeeded in increasing group cohesion and walking activity to a greater extent than a regular group walking program, while participants' group identification and well-being increased to a similar extent in both conditions. Furthermore, structural equation modelling revealed that group identification mediated the impact of peer leaders' identity leadership on group cohesion and well-being (but not walking activity).

Conclusion

We can conclude that by harnessing the capacity of the group and its peer leaders, 5RS constitutes a promising intervention to engage older adults in physical activity.

S05-3 How do participants evaluate peer-led walking groups of older adults? Implementation issues related to the ‘Lekker Actief'-project in Flanders

Community-based walking groups constitute a promising avenue to increase both the levels of physical activity and the social connectedness of older adults. In addition, while peer-led walking groups seem to be as effective as professional-led programs, they are more cost-effective and socially integrative. In collaboration with a Flemish socio-cultural organization for older adults (i.e., OKRA), we designed the health-promoting program “Lekker Actief” (i.e., “Tastily active”).

This program included an individualized walking scheme for 10 weeks adapted to older adults' fitness level. In addition, in each local meeting point a formal peer leader (i.e., a volunteering older adult who was responsible to implement the guidelines) organized a weekly group walk. Our study involved 19 participating meeting points, counting 504 older adults in total (Mage = 69.2 years) who signed up for the program. In 9 meeting points, peer leadership was distributed among several older adults to create a structure of shared leadership, while in the other 10 meetings points, leadership was assigned to the formal peer leader only.

This presentation will focus on how this (shared) peer leadership was implemented and evaluated. We will draw conclusions to inspire future interventions and policies targeting peer leadership in walking groups for older adults.

S05 Active ageing from theory to practice: success stories from Belgium, Finland, Germany and the Netherlands

Introduction

Research increases our understanding on the efficacy of exercise and physical activity on older adults' health and well-being. However, the scientific output is relevant in experimental or clinical settings only and cannot be easily implemented in real-life setting. Consequently, the public health impact of the research output fails to be scaled-up for audiences and target groups at large. We therefore need more evidence on theory-to-practice approaches, in which physical activity interventions pay more attention to practical implementation.

Aim

The aim of this symposium is to describe successful examples on active ageing from research-to-practice. Examples are from 4 countries where different approaches are being used to improve adoption, implementation and maintenance physical activity among older people. Relevant scientific frameworks like RE-AIM and implementation science are utilized.

Leading the way together: a cluster randomised controlled trial of the 5R Shared Leadership Program in older adult walking groups

BACKGROUND

With a rapidly ageing society, healthy ageing has become a key challenge. Engagement in physical activity, and particularly walking, is a key strategy that contributes to healthy ageing amongst older adults. The purpose of the present study was to evaluate the efficacy of a group walking program for older adults that incorporates the 5R Shared Leadership Program (5R^S). By implementing a structure of shared leadership and strengthening peer leaders' identity leadership, 5R^S aims to cultivate a shared social identity amongst participants, which has in other contexts been associated with greater performance and well-being.

METHODS

A cluster randomised controlled trial was conducted to test the efficacy of the 5R^S group walking program on group identification, group cohesion, walking activity, and well-being, compared to a regular group walking program for older adults. Nineteen older adult walking groups (i.e., the clusters; N = 503; M_age = 69.23 years, SD = 6.68) all participated in a 12-week structured group walking program. Nine walking groups (n = 304) were randomly assigned to the intervention in which participants received the 5R^S program in addition to regular group walking.

RESULTS

5R^S was successful in strengthening the identity leadership qualities of the appointed peer leaders. Multilevel regressions showed that 5R^S succeeded in increasing group cohesion and walking activity to a greater extent than a regular group walking program, while participants' group identification and well-being increased to a similar extent in both conditions. Furthermore, structural equation modelling revealed that group identification mediated the impact of peer leaders' identity leadership on group cohesion and well-being (but not walking activity).

CONCLUSION

By harnessing the capacity of the group and its peer leaders, the 5R^S program offers a promising intervention to engage older adults in physical activity.

TRIAL REGISTRATION

The study was retrospectively registered as clinical trial on 9 September 2021 ( NCT05038423 ).

The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial

BACKGROUND

Physical activity is an integral part of healthy aging; yet, most adults aged ≥65 years are not sufficiently active. Preliminary evidence suggests that web-based interventions with computer-tailored advice and Fitbit activity trackers may be well suited for older adults.

OBJECTIVE

The aim of this study was to examine the effectiveness of Active for Life, a 12-week web-based physical activity intervention with 6 web-based modules of computer-tailored advice to increase physical activity in older Australians.

METHODS

Participants were recruited both through the web and offline and were randomly assigned to 1 of 3 trial arms: tailoring+Fitbit, tailoring only, or a wait-list control. The computer-tailored advice was based on either participants' Fitbit data (tailoring+Fitbit participants) or self-reported physical activity (tailoring-only participants). The main outcome was change in wrist-worn accelerometer (ActiGraph GT9X)-measured moderate to vigorous physical activity (MVPA) from baseline to after the intervention (week 12). The secondary outcomes were change in self-reported physical activity measured by means of the Active Australia Survey at the midintervention point (6 weeks), after the intervention (week 12), and at follow-up (week 24). Participants had a face-to-face meeting at baseline for a demonstration of the intervention and at baseline and week 12 to return the accelerometers. Generalized linear mixed model analyses were conducted with a γ distribution and log link to compare MVPA and self-reported physical activity changes over time within each trial arm and between each of the trial arms.

RESULTS

A total of 243 participants were randomly assigned to tailoring+Fitbit (n=78, 32.1%), tailoring only (n=96, 39.5%), and wait-list control (n=69, 28.4%). Attrition was 28.8% (70/243) at 6 weeks, 31.7% (77/243) at 12 weeks, and 35.4% (86/243) at 24 weeks. No significant overall time by group interaction was observed for MVPA (P=.05). There were no significant within-group changes for MVPA over time in the tailoring+Fitbit group (+3%, 95% CI -24% to 40%) or the tailoring-only group (-4%, 95% CI -24% to 30%); however, a significant decline was seen in the control group (-35%, 95% CI -52% to -11%). The tailoring+Fitbit group participants increased their MVPA 59% (95% CI 6%-138%) more than those in the control group. A significant time by group interaction was observed for self-reported physical activity (P=.02). All groups increased their self-reported physical activity from baseline to week 6, week 12, and week 24, and this increase was greater in the tailoring+Fitbit group than in the control group at 6 weeks (+61%, 95% CI 11%-133%).

CONCLUSIONS

A computer-tailored physical activity intervention with Fitbit integration resulted in improved MVPA outcomes in comparison with a control group in older adults.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12618000646246; https://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12618000646246.

Physical Activity Levels of Breast Cancer Patients Before Diagnosis Compared to a Reference Population: A Cross-Sectional Comparative Study

PURPOSE

We hypothesize that prediagnosis physical activity (PA) levels of breast cancer patients are below those of a reference population without breast cancer. Therefore, the aim of the present study was to compare prediagnosis PA levels (including total-, occupational-, sport- and household activity levels) of breast cancer patients with activity levels of a reference population.

METHODS

Female patients with primary breast cancer (n = 265) filled in the Flemish Physical Activity Computerized Questionnaire (FPACQ) the day before surgery recalling the year before diagnosis. PA levels were expressed as Metabolic Equivalent Task (MET) values. Smooth reference curves of PA levels were estimated in a representative sample of 3466 women without breast cancer with the LMS method, which allowed comparison of prediagnosis PA data of the breast cancer sample with this reference.

RESULTS

Compared to women without breast cancer, total PA levels were significantly lower in the year prior to breast cancer diagnosis over all age groups (Mean ± SD z-scores (95% CI) = -1.51 ± 1.86 (-1.74 to -1.29)). More specifically, household PA levels of breast cancer patients were significantly lower between ages 40-60, while occupational PA levels were significantly higher in this age group. No differences were found between sports PA levels.

CONCLUSIONS

Patients with breast cancer show significantly lower total PA levels during the year prior to surgery compared to a reference population. Especially household activity levels are lower in patients between ages 40 and 60. Given this, a return to prediagnosis PA levels may not be sufficient for protection from disease in the future.

Can a framed intervention motivate older adults in assisted living facilities to exercise?

Background

The majority of institutionalized older adults do not exercise, despite the many health benefits. The current study investigated whether a framed intervention can motivate older adults in assisted living facilities (ALFs) to perform functional resistance exercises. It was hypothesized that repeated framing of these exercises from a prevention perspective (e.g., to avoid health deterioration) would nurture the development of controlled motivation to exercise. By contrast, repeated framing of the exercises from a promotion perspective (e.g., to improve health) was expected to lead to higher exercise frequencies over time and to foster the development of autonomous motivation. Autonomous motivation was hypothesized to predict higher exercise frequencies over time.

Methods

A total of 111 residents, aged 65+ years (M = 81.4 y; SD = 6.4 y) participated in the study. These participants received a printed three-week individual program with a standard session of eight functional resistance exercises. Four weekly sessions were recommended. Participants were semi-randomized into three framing conditions: neutral (i.e., control), prevention or promotion. They received condition-specific written and spoken messages about the exercises at the beginning of the intervention. The spoken messages were repeated at the end of each week. Participants kept a checklist with their weekly exercise frequency and at corresponding points in time, they completed a questionnaire about their levels of autonomous and controlled motivation to exercise.

Results

Across conditions and time points, the exercise frequencies and the levels of autonomous motivation were generally high, whereas the levels of controlled motivation were generally low. Contrary to the expectations, there were no significant framing effects. However, higher levels of autonomous motivation predicted higher exercise frequencies. During the final exercise week, this was especially the case for intrinsic regulation (i.e., for the sake of the activity).

Conclusions

This study indicates that older adults who live in ALFs can be motivated to perform functional resistance exercises. Given the importance of intrinsic regulation, we advise to create an exercise atmosphere that allows for immediate, positive experiences and in which the basic psychological needs for autonomy, competence and relatedness are satisfied.

Trial registration

ClinicalTrialsID NCT02780037 (23 February 2016).

One day you'll wake up and won't have to go to work: The impact of changes in time use on mental health following retirement

Background

Retirement is a life transition involving an obligatory change in how people use their time. Because there are strong associations between use of time and health, different changes in time use following retirement may have different impacts on mental health.

Methods

105 participants were followed from 6 months before retirement to 12 months after retirement. At each time-point, use of time was quantified using a validated computerised 24-hour recall. Depression, anxiety and stress were assessed using the Depression, Anxiety and Stress Scales (DASS21), well-being with the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS), life satisfaction with the Australian Unity Personal Well-being Index (AUPWI), and self-esteem with the Rosenberg Self-Esteem Scale. Time-use data were analysed using compositional data analysis, which treats the 24-h day as a holistic “activity composition” rather than as individual activity domains. Time flow analytics were used to map patterns of change in time use from pre-retirement to post-retirement. Regression analysis was used to determine whether changes in the activity composition were significantly associated with changes in mental health. Compositional isotemporal substitution models were used to illustrate dose-response relationships between changes in time use and conditional changes in mental health for individual activity domains, such as sleep, screen time and physical activity.

Results

Following retirement, time no longer spent in work flowed mainly to household chores, sleep, screen time and quiet time (e.g. reading). Mental health improved overall. Changes in the activity composition were significantly related to conditional changes in DASS21 total score, depression, stress, and self-esteem, but not to anxiety, well-being or life satisfaction. Replacing work time with physical activity or sleep was associated with positive changes in mental health. Effect sizes for 60-minute substitutions ranged from –0.15 to +0.31.

Conclusion

Following retirement, replacing work with physical activity, and to a lesser extent sleep, is associated with better mental health.

Everybody's working for the weekend: changes in enjoyment of everyday activities across the retirement threshold

BACKGROUND

the aim of this study was to explore the associations between use of time and momentary hedonic affect ('enjoyment') in adults in the peri-retirement period.

METHODS

a total of 124 adults [61 males, 63 females; age 62 (4) years] completed a computerised use-of-time recall on 4 days at each of four time points (3-6 months pre-, 3, 6 and 12 months post-retirement), as well as surveys regarding self-reported health, well-being, sleep quality and loneliness. They reported how much they enjoyed each activity on a 0-10 scale. An individual Enjoyment Index was calculated as the time-weighted average of each participant's enjoyment ratings. Time-weighted enjoyment ratings were also calculated for nine mutually exclusive and exhaustive activity domains (Sleep, Chores, Work, Social, Screen Time, Self-care, Quiet Time, Transport, Physical Activity) and sub-domains.

RESULTS

the mean (±SD) Enjoyment Index was 7.43 ± 0.61, and was significantly and positively associated with well-being (P = 0.003 to P < 0.0001) and sleep quality (P = 0.03 to P < 0.0001), and negatively associated with loneliness (P = 0.003 to P < 0.0001). Mean Enjoyment Index values increased significantly (P < 0.0001) from pre-retirement (7.19 ± 0.82) to post-retirement (7.46 ± 0.89, 7.42 ± 0.91 and 7.49 ± 0.89 at 3, 6 and 12 months post-retirement). There were significant differences in enjoyment across domains, with Physical Activity (7.86 ± 1.11) and Social (7.66 ± 0.85) being the most enjoyable, and Work (7.10 ± 0.89) and Chores (7.09 ± 0.85) the least enjoyable.

CONCLUSION

enjoyment of everyday activities increased after retirement and remained elevated for at least 12 months. Work appears to constitute a relative hedonic deficit.

How Do Older Adults Respond to Active Australia Physical Activity Questions? Lessons from Cognitive Interviews

The aim of this study was to examine older adults' understanding and interpretation of a validated questionnaire for physical activity surveillance, the Active Australia Survey (AAS). To address this aim, cognitive interviewing techniques were used during face-to-face semi-structured interviews with 44 adults aged 65-89 years. Qualitative data analysis revealed that participants were confused with questionnaire phrasing, misunderstood the scope of activities to include in answers, and misunderstood the time frame of activities to report. They also struggled to accurately estimate the frequency and duration of their activities. Our findings suggest that AAS questions may be interpreted differently by older adults than intended by survey developers. Findings also suggest that older adults use a range of methods for calculating PA frequency and duration. The issues revealed in this study may be useful for adapting AAS for use in older community-dwelling adults.