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Return to Everyday Activity in the Community and Home: a feasibility study for a lifestyle intervention to sit less, move more, and be strong
Pilot and Feasibility Studies volume 5, Article number: 84 (2019)
Many interventions designed to meet physical activity guideline recommendations focus on a single component (e.g., walking), to the detriment of other elements of a healthy lifestyle, such as reducing prolonged sitting and doing balance and strength exercises (i.e., bundled multiple behaviors). Adopting these multiple health behaviors within daily life routines may facilitate uptake and support longer-term behavior change. We tested feasibility for a three-part lifestyle intervention to support older women to sit less, move more, and complete balance and strength exercises.
We used a convergent parallel mixed-methods, single-arm study design to test feasibility for a 6-week lifestyle intervention: Return to Everyday Activities in the Community and Home (REACH). We collected information at baseline, 3 and 6 weeks (final), and 6 months (follow-up) using questionnaires, semi-structured interviews, and performance-based measures. We describe three key elements: (1) implementation factors such as recruitment, retention, program delivery, and adherence; (2) participants’ acceptability and experience with the program; and (3) health outcomes, including participants’ global mobility, activity, and perceptions of their physical activity identity, and habit strength for (i) physical activity, (ii) breaking up sitting time, and (iii) balance and strength exercises.
We were able to recruit enough participants in the allotted time to conduct one cycle of the REACH group-based program. There were 10 community-dwelling women, median (p25, p75) age 61 (57.5, 71) years, who completed the study. The program was feasible to deliver, with high attendance (mean 5/6 sessions) and positive overall ratings (8/10). Participants rated session content and length high, and educational materials as highly acceptable and understandable. Although participants were active walkers at baseline, few were breaking up prolonged sitting or participating in any balance and strength exercises. At final and follow-up assessments, participants reported developing habits for all three health behaviors, without diminishing physical activity.
These results show acceptability of the program and its materials, and feasibility for bundling multiple health behaviors within the REACH program. It also provides confirmation to advance to testing feasibility of this three-part lifestyle intervention with older, less active, adults.
ClinicalTrials.gov Identifier, NCT02786394; May 18, 2016.
The effect of physical activity on chronic disease prevention throughout the lifespan is well documented  and is particularly important in later life, when almost half of the burden of disease in high-income countries is attributable to adults 60 years and older . Engaging in healthy behaviors, such as physical activity, is one of the simplest and most effective methods of preventing or managing chronic illness and reducing mortality risk [1, 3]. Despite the available evidence and guideline recommendations, at a population-level, few older adults participate in sufficient physical activity  and are thus considered “inactive” (i.e., do not meet physical activity guidelines) [5, 6].
Based on a systematic review, < 18% of older adults (across many countries) meet activity guidelines for moderate-to-vigorous physical activity (MVPA) collected via accelerometry . Furthermore, there are health risks associated with prolonged sedentary behavior (distinct from being inactive) [8, 9], and older adults spend the most time sedentary of all age groups [8, 10]. Guidelines recommend that older adults perform balance and strength exercises, key in preventing falls , but only 16% of older adults from a US population-level survey met strength training recommendations (at least twice a week), and this number is lower if the person has a mobility limitation . As a final point, based on US population-level data, few adults 65 years and over meet both MVPA and strength training recommendations . However, to support health and aging, it is important to address these three health behaviors concurrently: physical activity (move more), reduce sedentary behavior (sit less), and perform balance and strength exercises (be strong).
Psychosocial factors influence activity behaviors [14, 15], and despite the best plans, there is a known gap between physical activity intentions and behavior . Balance and strength exercises, for example, may be intimidating or perceived as unrealistic for many older adults . Interventions based on behavior change theory and techniques may mitigate some of the obstacles. The 2018 US physical activity guidelines note the effectiveness for individualized programs, based on behavior change theory and techniques, to increase the volume of physical activity in adults . Evidence suggests that it is feasible  and effective  to anchor new activities around existing lifestyle routines. For instance, completing small knee bends (target behavior) at the kitchen sink while doing the dishes (i.e., activity-based cue to action: doing the dishes is a reminder to complete the exercise) [14, 20]. Theory-based principles of habit formation  that guide lifestyle interventions can encourage older adults to engage in small incremental changes of physical activity to foster self-efficacy via mastery  and longer-term behavior change and/or maintenance . Emerging evidence highlights the health benefits of light physical activity [24,25,26], and this is supported by the recently updated US physical activity guidelines . Although more intense physical activity (MVPA) may yield better health benefits [1, 27], lower energy activities can serve as a foundation (or building block) to gradually enable higher intensity activity .
Challenges exist to adopt health behaviors in general, and in particular, when introducing multiple behaviors simultaneously. “Bundling” more than one health behavior as part of an intervention may have positive or negative consequences . For instance, completing one of the activities may be a gateway behavior to adopt all three activities [30,31,32,33]. Conversely, adding too many activities at once may be overwhelming , leading to the cessation of one or more activities. A laudable goal to enhance older adults’ overall health, and reduce the risk for injury (from falls, for example), is to develop and test interventions that support daily activity (e.g., walking, activities of daily living), but also target the reduction of prolonged sitting, and promote balance and strength exercises. To do this, it is important to understand the feasibility of introducing multiple health behaviors to maximize uptake and adherence.
Therefore, we aimed to extend our previous work with women at midlife or older [14, 35] and test feasibility for a three-part lifestyle intervention for older adults. In this development phase, we directed feasibility testing towards women later in life for several reasons. Based on population-level data, compared with older men, older women generally achieve less daily moderate physical activity  and are at more risk for falls  and low-trauma hip fractures (the most serious of low-trauma fractures) . Return to Everyday Activity in the Community and Home (REACH) includes activities shown to reduce falls  and improve older adults’ health outcomes , using health behavior change theory and behavior change techniques (BCTs) [14, 39]. Our objective was to investigate feasibility of REACH, and to explore selected health outcomes. Feasibility was based on participants’ acceptability and experience, program delivery, and their uptake and adherence to the program. We wanted to determine first in a younger, more active, group if we could deliver, and if participants could integrate, three “bundled” health behaviors simultaneously. In this way, we aimed to disentangle if the intervention was feasible to deliver and be adopted (implementation factors) before we tested its feasibility with less active older adults. This contextual knowledge is an essential component to refine the person-centered intervention prior to conducting a larger study.
We used a convergent parallel mixed-methods  single-arm study design to investigate feasibility for a three-part lifestyle program (increasing physical activity, reducing sedentary behavior, and completing balance and strength exercises). Knowledge of this information would support (or not) our decision to test delivery of a bundled behavioral intervention in a larger study. We examined feasibility based on elements of a published framework , using questionnaires, semi-structured interviews, and measurement of selected health outcomes at three times (baseline, 6 weeks, and 6 months) for (1) implementation research outcomes (program feasibility defined as recruitment and retention, and program delivery and adherence), (2) person-centered outcomes (program acceptability and experience), and (3) exploration of impact (report of health outcomes).
Participant recruitment and setting
We worked with our research institute to send approved recruitment posters to staff and sent emails to potential participants who provided consent to be contacted about future research opportunities. We based our sample size on, feasibility to recruit participants in the allocated time, the need to optimize group size (8–10 participants) for delivering the intervention, and our previous pilot work using mixed methods . We excluded participants who were unable to walk four city blocks and climb one flight of stairs or were receiving treatment for medical conditions that would prevent them from taking part in a physical activity program (e.g., high blood pressure, recent injurious fall or fracture). Participants completed the Physical Activity Readiness Questionnaire for Everyone (PAR-Q+)  with a registered exercise physiologist to ensure their capacity to participate. We conducted the program in Vancouver, British Columbia, and registered the study (ClinicalTrials.gov Identifier: NCT02786394; May 18, 2016; https://clinicaltrials.gov/ct2/show/NCT02786394?term=NCT02786394&rank=1). The study was approved by the university and hospital research ethics boards (H16–00670), and all participants signed a consent form prior to commencing the study.
REACH is a lifestyle intervention for active living developed from our previous work  and includes elements of the Lifestyle-Integrated Functional Exercise (LiFE) program  designed to encourage older adults to embed balance and strength exercises into everyday activities (rather than just completing a standard set of exercises). The REACH model was designed to address three health behaviors: increase levels of physical activity, reduce prolonged sitting time, and incorporate balance and strength exercises into daily life routines. The intervention also included components relevant in the lives of older adults, because recent literature highlights the importance of a full day approach  to being active. Therefore, we included such topics as sleep, stress reduction, and known barriers to being physically active, such as urinary incontinence and nocturia, which are also falls risk factors [44, 45]. Our long term goal is to test the acceptability and effectiveness of REACH in less active older adults with mobility limitations and/or at risk for falls. However, prior to this, we needed to confirm that we could deliver the three behaviors in a younger, more active older adult group. Table 1 is a detailed description of REACH using the Template for Intervention Description and Replication (TIDieR) Checklist .
As part of REACH development for future research (but separate from this feasibility study), we created an instructors’ manual and provided an instructor training course for 3 weeks in May 2016. The training sessions were delivered face-to-face in a group setting, and three exercise physiologists (average 17  years of experience working with older adults) completed the course. Each of the three sessions was 1–2 h in duration. We sought their overall impression of the program and the training sessions, for future studies.
We used theory to guide the REACH intervention, specifically, a dual-process approach incorporating conscious (i.e., motivational and volitional) processes and automatic processes (i.e., habit strength) . In this study, we investigated physical activity identity and habit strength for three health behaviors (being physically active, breaking up sitting time, completing balance and strength exercises). We chose these variables to explore participants’ perceptions of their health behaviors related to the intervention.
At baseline, participants completed the Life Assessment Tool (LAT)  to understand participants’ ability and as a starting point for activity prescription. REACH was delivered in a group setting with one instructor (registered exercise physiologist with 18 years of experience), with six sessions of approximately 1–2 h per week over 6 weeks (May 2016–June 2016). The exercise physiologist was a member of the intervention development team. Each session included a presentation of new information, participatory activities (e.g., think, pair, share), and one to two new balance and strength exercises, to ensure participants were able to observe and experience the optimal form for completing the exercise. Additionally, participants were encouraged to complete home practice activities each week and balance and strength exercises. Key topics in the REACH model include the importance of participating in light and leisure-time physical activity, reducing sedentary time, fracture prevention, habit formation (via BCTs such as goal setting; see Table 2), mindfulness, sleep, nocturia and urinary continence, and active transportation. These topics were chosen based on our previous work [14, 35], the importance of approaching physical activity from a 24-h perspective , and the overall goal of testing the program in a larger trial (with fall prevention as an outcome of interest). We also offered participants the opportunity to attend an additional (optional) once a week walking session. We had a change in protocol as participants opted to have only one session/week: that is, the REACH group session and walking program was changed to be delivered on the same day. At the last group session, participants could choose between writing a letter to themselves about their activity goals (and we mailed it 3 months later) or to have a reminder email (to maintain new habits) sent at 3 months after the final assessment at 6 weeks.
Two trained research assistants collected data either in-person, via telephone, or using a secure web application.
Implementation research outcomes
We recorded details related to participant recruitment, retention program delivery, and adherence to the intervention. We collected feedback questionnaires after each session on the rating of overall session, content clarity, session length, and participants’ confidence in the ability to use information and perform activities, etc. Participants also completed the Patient Education Materials Assessment Tool for Print Materials (PEMAT-P)  to evaluate the REACH Participant Manual. The PEMAT-P assesses educational materials based on understandability (content, word choice and style, use of numbers, organization, layout and design, and use of visual aids) and actionability (ease of acting based on the written material) .
Person-centered outcomes (program acceptability and experience)
We conducted in-person or telephone semi-structured interviews at four time points: baseline, midpoint, final, and 6 months after withdrawing the intervention. We requested the participants provide feedback on acceptability of the program and explored participants’ expectations and perceptions of the intervention.
Exploration of impact (report of health outcomes): questionnaires and performance-based measures
Participants completed self-report questionnaires at baseline, after the intervention (6 weeks), and 6 months after withdrawal of the program: Short Grit Scale  effort-subscale , Physical Activity Identity Scale [52, 53], and the Self-Report Behavioral Automaticity Index (SRBAI) . The Short Grit Scale is an eight-item questionnaire (with five response options) to assess an individual’s “grittiness” or passion and perseverance in long-term goal attainment . However, we only included the “effort” subscale, which included questions 2, 4, 7, and 8 . We included the Exercise (Physical Activity) Identity Scale, originally developed by Anderson and Cychosz  and adapted for older adults by Strachan and colleagues , because it may influence the relationship between intention and behavior (being active) . This scale includes nine items and asks participants to give a rating on a 7-point Likert scale (strongly disagree–strongly agree); the higher the score, the stronger the perception of identifying with physical activity. The SRBAI is a reliable four-item (and seven response options) subscale of the Self-Report Habit Index (SRHI). It assesses the level of automaticity for health behaviors (habit strength) . We used the SRBAI to measure habit strength for three behaviors on a 7-point Likert scale (strongly disagree–strongly agree) for (i) physical activity, (ii) breaking up prolonged sitting time, and (iii) balance and strength exercises. We also asked participants in the semi-structured interviews about their physical activity identity, habit strength, and level and types of and satisfaction with physical activity behavior. Participants wore a Fitbit monitor (Fitbit One or Fitbit Zip; Fitbit, San Francisco, CA), and we provided weekly activity tracking sheets for them to record their steps, active minutes, and sedentary time. For accelerometry variables, we calculated median daily values based on at least 4 days of wear time. Participants also completed a Timed Up and Go test (TUG)  (at their usual pace) at baseline and final assessment (6 weeks) to capture their global mobility.
Data analyses and interpretation
We provide basic descriptive information for participants, reported activity, session ratings, and other quantitative results, using means and standard deviations (SD), or medians and 25th, 75th percentiles, where appropriate. If physical activity variables were missing at the final assessment (week 6), we imputed values from week 5. This was a feasibility study; thus, we did not conduct any inferential statistical analyses, but provide boxplots to display the results (median, range, outliers) for physical activity identity and habit strength variables. We used IBM SPSS Statistics Version 25 (IBM Armonk, New York).
We recorded and transcribed interviews verbatim and coded them using NVivo Software (QSR International Pty Ltd., Doncaster, Victoria). We were guided by Thorne’s Interpretive Description . At each time point, two authors read interview transcripts multiple times and discussed initial emerging concepts. Two authors (NE, MCA) created an analysis plan after preliminary examination of the first time point interviews, and one author (NE) led the initial broad-based coding for all time points and kept a coding activity journal. We focused our interpretive description on the participants’ physical activity identity and behavior change perceptions over time. We used multiple forms of triangulation (data, investigator, and methods) to increase rigor in our analysis. We provide quotes to support findings and assigned pseudonyms to maintain participants’ anonymity.
The study ran from May–June 2016, with a follow-up assessment 6 months later. During the recruitment phase, 20 participants contacted us to receive more information about the study; however, nine participants declined to participate because either the timing or the venue was not convenient (Fig. 1). We enrolled 11 participants, but one participant withdrew (for personal reasons) after the second session. Ten healthy community-dwelling women between 55 and 77 years (median (p25, p75) 61 (57.5, 71)) completed the six REACH sessions and data collection at baseline, midpoint, and final (10/11 retention). Participants’ median body mass index (BMI) was 23.5 (21.4, 26.6). All participants completed high school, and nine had university education; seven women were employed, and three were retired. Generally, participants were very active, with 8343 (5308, 12,641) median steps/day at baseline. Their median TUG time was 9.1 (7.7, 9.8) s at baseline, well below the cut point for increased fall risk .
Implementation research outcomes
We recruited the target number of participants in the allotted time and had excellent retention to the program (10/11 participants). At the 6-month follow-up assessment, one participant was lost to follow-up, and one declined to participate for personal reasons (8/10 retention at 6 months). We could not conduct an interview with one participant (unavailable) for the 6-month follow-up interview, but they provided data for all other measures (Fig. 1). Participants attended, on average, 5/6 sessions; this includes five make-up sessions delivered to three participants one-to-one either before or after the regularly scheduled group-based session. Participants did not regularly attend the walking sessions held on a different day; therefore, we combined the sessions and only offered one session/week. Following this, the research assistant did not take separate attendance for the walking component after the program modification. Based on the PEMAT-P evaluation, REACH participants rated the manuals 100% for actionability and 98% for understandability.
Participants’ overall ratings (content clarity and method/style of teaching) and confidence in the ability to use information and perform activities were consistently above 5 on a 7-point scale and improved over the 6 sessions. Participants rated their overall experience with the program 7.9/10 at the midpoint (3 weeks) and 8.1/10 at the final point (6 weeks). Results from the semi-structured interviews indicated that participants were initially unsure what to expect with the program, and assumed the intervention would be much more physically intensive. Initially saying, “I did not know what to expect” (Sarah). However, at midpoint, participants reported positive experiences with the program that were counter to their expectations, “I’m pleasantly surprised” (Carole), and “[The program is] quite different than what I anticipated, but in a good way. It’s been an education for me versus just a go and do something which is kind of what I expected” (Brie). Overall, participants expressed gratitude for the research team tailoring the program to the participants’ preferences.
Participants’ key take away messages from REACH included personal awareness of habit cues, the importance of reducing sedentary behavior, and the benefit of small increments of activity. They appreciated the simplicity of the activities and the small amount of time commitment, making it more manageable to gain health benefits. Many participants noticed new opportunities to be active and added activity throughout their day in ways that they did not think were important, or beneficial, before the REACH program. For example, walking up the escalator, standing up while folding laundry, and or standing on one foot while waiting in line at a store. They also appreciated learning about the importance of reducing sedentary time and improving balance and strength, as this was new information for some participants. “I tended to not care whether I got up from my desk at all for the whole day. And then just did my walk at night or something like that. I don’t do that anymore. I’m much more mindful of getting up, even if it’s just a little bit every hour” (Brie). They also discussed observing small declines in their balance in recent years, and how this triggered concern for some, and acted as motivation for others. Susan explained, “when you get old you don’t realize how your perceptions of things change…. and then some little thing will happen, and you start to realize how easy it would be to fall and hurt yourself, and so how important it is to get your strength and balance up”.
Despite the successes associated with the program, we noted two challenges. First, we planned to deliver two sessions per week: the group-based REACH session and one optional walking session (on a separate day). However, due to low attendance for the optional walking sessions (on a separate day), we consulted with participants, and the walking session was rescheduled after the REACH session (i.e., only one session/week). Second, to collect physical activity and sedentary behavior data, we provided Fitbits to some participants, or they used their own. As this was a feasibility study, we requested the participants submit written sheets with Fitbit generated data. However, there were some missing sheets, and only step count data were recorded and available for analysis.
Exploration of impact (report of health measures): questionnaires and performance-based measures
Figures 2 and 3 respectively are boxplots for physical activity identity and the habit strength (physical activity, breaking up sedentary behavior, and balance and strength) measures. We present data for the 10 participants who completed the study (6 weeks) and the eight participants who completed the study and returned 6 months later. In the boxplots, we note the variability in responses across measures and time; there was only one data point considered an outlier for sedentary behavior habit strength at 6 weeks (n = 10). However, the median values increased for physical activity identity and habit strength from baseline to 6 weeks. We provide a summary of the other measures across time points in Table 3.
Semi-structured interviews: physical activity identity
At each interview, we asked participants if they self-identified themselves as a physically active person. Many struggled to answer this question directly and often provided an explanation or justification for their response. For example, Susan responded, “I don’t see myself as being as physically active as I would like to be.” Similarly, Carole said, “I don’t see myself as physically active… But I am active. I mean, I walk to work and stuff. So …Other people’s terms, yes. In mine, no.” Many also recalled being active in the past, but not anymore, Patricia said, “I used to be very physical when I was younger but, you know, when you start getting problems you stop doing things.” Six months after withdrawing the intervention, 5/7 participants answered positively about perceiving themselves as physically active, some explaining, “yes, you know, relative to my age,” and one explaining “yes, more than before.”
Data from the semi-structured interviews highlighted that participants endorsed the concept of linking new behaviors with routine-based cues (i.e., habit formation). They shared personal strategies that helped them change or develop new health behaviors. Participants spoke of looking for opportunities to walk more as an alternative mode of transport or adding in walks, even if only 10 min in duration. One participant mentioned she brought sneakers to work, “...so that if there’s any opportunity I can walk, I have comfortable shoes” (Sarah). Many mentioned performing the balance and strength exercises in their regular routines in situations where they had to wait. Beth explained, “when I’m waiting for something to scan or photocopy or, you know, I’m going to talk to someone, sometimes I do the toe thing (a balance activity).” Some found it easier to develop cue associations in the workplace while others did at home. Patricia found home routines, such as “watching some TV, during the break and doing the exercises then [or] …brushing teeth or…standing there waiting for the water to boil for tea or… getting things done in [the] kitchen,” were valuable opportunities to link with balance and strength exercises. Six months after withdrawing the intervention, 5/7 participants believed their involvement in REACH helped them change or develop new health behaviors or habits, and 6/7 participants reported regularly breaking up their sedentary time.
Six of the seven (86%) who participated in the follow-up interviews reported participating in physical activity programs (either self-directed or group-based regular activity) since the REACH program. At the 6-month follow-up interview, we asked participants about their satisfaction with their level of physical activity. Although many of the participants believed that they had changed their health behaviors, and would identify as physically active, they were generally not very satisfied with their current level of physical activity. Many believed they should increase their activity levels and frequency. Only two participants were satisfied with their level of physical activity, although one of these participants mentioned she wanted to incorporate more balance activities.
This study highlights feasibility for delivering an intervention with “bundled” health behaviors to facilitate an increase in everyday activity (including walking), reduction in sedentary behavior, and adoption of balance and strength exercises. Participants’ overall impression of the REACH program was very positive. Session content and length were rated high, and educational materials were highly acceptable and understandable. Although participants were active walkers at baseline, few were breaking up prolonged sitting or participating in any balance and strength exercises—nor were they aware of the importance of these health behaviors. However, at final and follow-up assessments, participants reported developing habits for all three health behaviors, without diminishing their physical activity. That is, participants maintained their high level of daily step count at 6 weeks, even with the addition of two new behaviors. An interesting finding emerged from the data. Within the semi-structured interviews, many participants stated they did not perceive themselves as “active” or were satisfied with their activity levels, despite high levels of physical activity behavior (daily step count). Overall, our findings support feasibility to deliver the program as intended, participants reported acceptability of REACH program and materials, and reported adopting and maintaining habits for the three target activities.
Participants’ reported developing habits for breaking up prolonged sitting and engaging in balance and strength while their physical activity behavior remained high (median ~ 8000 steps/day) from baseline to final. With the addition of the two new behaviors, participants’ activity was more aligned with recommended guidelines for health . Adopting these three “bundled” behaviors throughout the day is important (and thus the reason for their inclusion in public health messages); however, it is also easy to let one or more activities drop off over time. It is not surprising that walking is the most popular form of exercise for older adults , but especially with aging, it is essential to incorporate all three activities into daily life routines. It is important for adults, and particularly older adults, to routinely engage in balance and strength exercises . It is an essential component of the physical activity guidelines but frequently is in the shadow of MVPA when discussing who is sufficiently active. The most recent Cochrane Review of fall prevention and exercise by Sherrington and colleagues reported there was high-certainty evidence for balance and functional exercises to reduce the rate and number of people who fall, and moderate-certainty evidence for a combined program (balance and functional exercises plus resistance training) for the same outcomes. However, the review stated there was not enough evidence that walking alone reduced fall-related outcomes for this population . There is a possible increased risk for falls with higher volumes of physical activity (outdoor walking) , and reducing prolonged sedentary behavior is an important goal especially as recent evidence showed sitting > 8 h/day was associated with an increased risk of falls .
We observed an unexpected finding in this study. Participants were active walkers (median > 8000 steps/day), and their Physical Activity Identity Scale scores were within the range of “exerciser” (40.6 to 45.6) . Yet, in the semi-structured interviews, several women commented that even though they knew they were active, they were not satisfied with their activity levels. We do not know the reason for the discordant findings between data from interviews and questionnaire, but it opens up several areas for future investigation. First, it is possible that just because someone identifies with physical activity, does not always equate with satisfaction with current physical activity levels. Second, there is evidence from younger women that there may be difficulties identifying physical activity intensity . That is, women were engaging in vigorous activity, but perceived it as moderate exercise . Thus, our participants may have experienced a similar misperception of their exercise level. However, as neither the questionnaires nor the interview questions introduced a distinct definition of physical activity, it remains unclear to which type and intensity of physical activity participants referenced when answering the items and questions. Finally, physical activities of lower intensity levels (e.g., reducing sitting and balance, and strength exercises) may not necessarily contribute to perceptions of activity. However, this finding identifies an area to explore in our future studies.
We acknowledge several limitations with this study. For example, we recognize the limited generalizability due to the small sample size. Additionally, the participants were relatively active and may not represent women for this age group. Our measures were limited primarily to self-report data, and we did not collect extensive physical function tests, as we did not expect a significant change in the short time period. Future studies should include other psychosocial measures in addition to identity and habit strength which are key to the dual-process model, such as action planning and intention and outcome expectancies. Many of these concepts were taught in the intervention; however, we did not examine them in the current study.
Overall, we were able to recruit enough participants in the allocated time and had a high retention of participants to the 6-week intervention and at 6 months follow-up. Participants described positive experiences with the REACH intervention, materials, and delivery. They stated the intervention was simple and manageable and reported high confidence in their ability to use the information and perform the new activities. Participants reported developing habits for all three activities (sitting less, moving more, and performing balance and strength exercises), without diminishing their overall physical activity. Collectively, these findings guide the next phase of testing the feasibility of this intervention in an older, less active, population, and suggest future areas of investigation into the psychosocial factors that support adoption and maintenance of positive health behaviors.
Availability of data and materials
The datasets used and/or analyzed during the current study are not available.
Behavior change techniques
Life Assessment Tool
Lifestyle-Integrated Functional Exercise
Moderate-to-vigorous physical activity
Physical Activity Readiness Questionnaire for Everyone
Patient Educational Materials Assessment-Paper
Return to Everyday Activity in the Community and Home
Self-Report Behavioral Automaticity Index
Self-Report Habit Index
Template for Intervention Description and Replication
Timed Up and Go test
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We gratefully acknowledge the support from the Centre for Hip Health and Mobility. Professor Ashe gratefully acknowledges the support of the Canada Research Chairs Program.
Ethics approval and consent to participate
We obtained ethical approval from the UBC Behavioral Research Ethics Board, and all participants provided informed consent to participate in the study.
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The authors declare that they have no competing interests.
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Ashe, M.C., Edwards, N.Y., Taylor, A. et al. Return to Everyday Activity in the Community and Home: a feasibility study for a lifestyle intervention to sit less, move more, and be strong. Pilot Feasibility Stud 5, 84 (2019) doi:10.1186/s40814-019-0467-9
- Balance and strength
- Dual-process theory of behavior change
- Habit strength
- Physical activity identity