Skip to main content

Active Women over 50 online information and support to promote physical activity behaviour change: study protocol for a pilot trial

Abstract

Background

Physical activity has many physical and mental health benefits and can delay the development of disability in older age. However, uptake of this health behaviour is sub-optimal in women in their middle and older age. This trial aims to establish the acceptability and feasibility of the Active Women over 50 programme involving online information, telephone health coaching and email or SMS support to promote physical activity behaviour change among women aged 50 years and over.

Methods

Sixty community-dwelling women who are insufficiently active according to national guidelines, will be recruited and randomised to 1) receive the Active Women over 50 programme or 2) a wait-list control. Active Women over 50 is a 3-month physical activity programme guided by behaviour change science, providing access to a website, one telephone-delivered health coaching session from a physiotherapist and 8 email or 24 SMS messages. The primary outcome is the proportion of participants at 3 months post-randomisation who would recommend participation in the programme to another person like themselves. Secondary outcomes are feasibility measures: rates of recruitment, retention, completeness of outcome data and uptake of telephone support; and intervention impact measures: accelerometer-assessed average steps/day, proportion of participants meeting national guidelines on moderate to vigorous physical activity; and questionnaire-assessed quality of life, exercise perceptions, mood, physical functioning and self-reported physical activity. Intervention participants will also complete a follow-up survey to assess impressions of the intervention and adoption of strategies for physical activity participation. Data will be analysed descriptively to guide the design of a larger trial. Between-group differences in secondary outcomes will be used to estimate effect sizes for sample size calculations for a fully powered randomised controlled trial.

Discussion

This feasibility pilot trial of an efficient eHealth and health coaching intervention guided by user input and behaviour change theory, will inform future interventions to address low physical activity participation among an under-active group at risk of future disability.

Trial registration

ANZCTR, ACTRN12619000490178, registered 26 March 2019

Peer Review reports

Background

Physical inactivity is a significant but modifiable public health problem. Globally, it is associated with 5.3 million deaths [1] and has an economic cost of INT$67.5 billion per year [2]. Physical inactivity is as important a risk factor for developing chronic disease and disability as smoking and obesity [3].

There is compelling evidence of the benefits of physical activity for physical and mental health at all ages [3] and maintenance of independence in older age [4]. Regular physical activity can prevent or help manage some health conditions and has been reported to delay disability by up to 15 years in older women [4]. The national guidelines for physical activity recommend Australian adults to accumulate 150 to 300 min of moderate-intensity or 75 to 150 min of vigorous-intensity physical activity, or an equivalent combination of both moderate and vigorous activities each week, and to do muscle-strengthening activities on at least 2 days each week [5]. Achieving the national guidelines for physical activity in middle age has longevity benefits regardless of baseline physical activity [6].

Physical activity participation is sub-optimal in women in their middle age and very low in older women. Sixty-five per cent of women over the age of 55 years and 80% of women over the age of 75 years do not participate in sufficient regular physical activity to gain health benefits [7]. While some women become more physically active with retirement [8] this may be too late to prevent disability in older age. By 2023, Australian women will be retiring at an older age with access to the senior pension age increasing to 67 years [9]. Commencement of sufficient regular physical activity before retirement therefore needs to be a priority and maintained in the long term to promote independent and healthy ageing.

Barriers to physical activity participation for women are unique. The 2014 national survey showed that women have higher sedentary time and greater carer responsibilities than men [10, 11]. These barriers, coupled with the demands of paid work and low confidence for participating in physical activity in the absence of a previous habit, place women in their middle-age years particularly at risk of being insufficiently physically active to maintain good health. This population would benefit from a targeted and supported evidence-based approach to increase their physical activity in a way which is achievable and sustainable.

Health psychology uses a variety of tools and behaviour change techniques that can be made available to middle-aged women to support them to increase their levels of physical activity and to maintain these levels in the long term. A theoretical basis incorporating the self-determination theory (SDT) [12] and Behaviour Change Wheel and COM-B system model of behaviour [13] shed light on key factors necessary for the initiation and maintenance of physical activity [14]. SDT considers an individual’s motivation behind the choices they make by addressing competence, autonomy and psychological relatedness, and the COM-B system model of behaviour considers an individual’s capability, opportunity and motivation to achieve behaviour change. Key factors of SDT and COM-B include plentiful resources (psychological and physical), effective self-regulation, maintained motivation to be active, positive habits and positive environmental and social influences. Effective behaviour change interventions often include techniques that tap into these behavioural factors. For instance, resources in the form of health information and programme information provides an individual with physical capability and competence; goal setting, self-monitoring, action and coping planning support self-regulation and opportunities for behaviour change; relatable peer role models stimulate motivation; using habit formation techniques help to develop automaticity forming positive responses to contextual cues; and supporting development of positive habits, i.e. increasing physical activity and reducing sedentary behaviour [15,16,17].

Behavioural interventions can be delivered digitally, via web and smartphone, in order to increase scalability for population-level impact [18]. eHealth online interventions using web, email and SMS-based platforms have a number of advantages over face-to-face interventions, especially where they can be delivered to mobile phones: they have wide reach, comparatively low cost of implementation and delivery, and flexibility of intervention use at times and location convenient for the user [19, 20]. Mobile phone access to websites, video, email and short message service (SMS) provides a portable, everyday use context for receiving eHealth messages, promoting higher engagement and adherence [21, 22]. There is emerging evidence supporting the use of SMS to promote health behaviour [23], and including email reminders to prompt participants’ health behaviour change [24]. One disadvantage of online interventions is potential disengagement as people prefer the personalised nature of face-to-face interactions. To address this, effective interventions often include phone or video sessions with a health coach who guides the participants, provides social support and tailors behaviour change techniques to participants’ abilities and preferences, supporting participants’ autonomy, in line with SDT. A review of health coaching has shown a beneficial effect on physical activity [25], so including a skilled health coach with an online intervention is likely to increase engagement and consequently the effectiveness of the intervention. To date, there are limited programmes that flexibly support middle-aged women in becoming more active and staying active for life which can be implemented at scale. Online behavioural interventions augmented by health coaching provide a potential scalable solution to the current problem of inactivity among this age group.

This trial aims to establish the acceptability and feasibility of the Active Women over 50 programme, a 3-month programme comprising online information, telephone health coaching and follow-up email or SMS support to promote physical activity behaviour change among women aged 50 years and over.

Methods/design

Trial design

We will conduct a feasibility pilot study using a randomised controlled trial (RCT) with wait-list control. The CONsolidated Standards Of Reporting Trials (CONSORT) flow diagram is illustrated in Fig. 1. This trial has been designed according to the CONSORT statement [26] and will be reported according to the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) statement [27], and with reference to the Template for Intervention Description and Replication (TIDieR) checklist [28] in Table 1.

Fig. 1
figure 1

CONSORT flow diagram for the pilot and feasibility study Active Women over 50

Table 1 Intervention description using the Template for Intervention Description and Replication (TIDieR) checklist [28] for Active Women Over 50 study

Eligibility criteria

Women are eligible for inclusion in the trial if they are aged 50 years and over, and community-dwelling residents in New South Wales, Australia. Potential participants will be excluded if they have limited English language skills, do not have access to the internet, have a medical condition that precludes participation in regular physical activity or are already sufficiently active in accordance with Australian physical activity guidelines [5].

Recruitment

Participants will be recruited through advertising in newsletters and websites of community organisations, university and local health districts, via the study recruitment website, www.activewomenover50.org.au, word-of-mouth and social media. Participation is cost-free and no incentives are offered for participation. Potential participants will be screened for eligibility via an online survey. Recruitment commenced 3 May 2019, and at the time of submission of this manuscript, 66 participants had been recruited, 56 randomised and 0 participants had completed follow-up measures.

Randomisation

Following confirmation of eligibility and completion of informed written consent and the baseline measures, participants will be randomly allocated by a research assistant to the intervention or control group in equal numbers using computer-generated randomisation. Allocation will be determined using concealed allocation, via a randomisation schedule embedded in a secure web-based software platform, REDCap (Research Electronic Data Capture) [35, 36] hosted at The University of Sydney, Australia. A variable block randomisation schedule will be prepared from a computer-generated list of random numbers by a researcher not involved in participant recruitment.

Intervention group

The intervention is described by the TIDiER checklist (in Table 1). Intervention components and choice of behaviour change techniques were informed and underpinned through integration of the Behaviour Change Wheel and COM-B system model of behaviour [13], SDT [12] and user input from a convenience sample of women in the target population. Examples of intervention functions and behaviour change techniques (BCTs) used in the Active Women over 50 intervention are shown in Table 2. The Active Women over 50 intervention was developed following our previous trial [38] investigating an information and support intervention with a 3-month follow-up period to enhance physical activity in university and health service-employed women over 50 years of age. The feedback from participants indicated a need for more support (manuscript under preparation). The intervention group will receive access to the Active Women over 50 website plus one telephone consultation with a research physiotherapist trained in health coaching, plus either 8 email or 24 SMS follow-up motivational messages over a 3 month period.

Table 2 Examples from the Active Women over 50 intervention coded within the COM-B domains, intervention functions and behaviour change techniques (BCTs)

Intervention participants will receive access to the Active Women over 50 website (Fig. 2) via a web address and will be asked not to share the website to avoid study contamination. The website will deliver content via three main webpages namely, “Why be Active?”, “How to be Active” and “Be Inspired”. The “Why be active?” webpage will emphasise the importance of becoming active from middle age for maintenance of health and physical function and prevention of falls in older age. The Active Women over 50 website content will include evidence-based information about the impact of even small increases in physical activity on health and longevity. The “How to be active” webpage will include practical suggestions on becoming more active and guidance on the setting of SMART (Specific, Measurable, Achievable, Realistic and Time-related) goals and self-assessment of barriers to physical activity participation and solution generation as key behaviour change techniques. The website will link to external sources of support/information, such as the NSW Ministry of Health-funded Get Healthy free health coaching service [39] and the Active and Healthy online directory [30] of physical activity opportunities. The website will also provide suggestions of resources and internet applications supporting behaviour change and habit formation, and other links for information about physical activity for different health conditions and services available. The “Be inspired” webpage will include inspirational video case studies of “success stories” of four “real-life” women aged over 50 who have managed to increase their physical activity levels in the face of mobility, health or practical difficulties and the benefits that they have experienced. To stimulate motivation and provide an interactive element to the website, there will also be the opportunity for participants to share their own ideas and inspirational stories via the website. Frequency of use of the Active Women over 50 website will be at the discretion of the participant.

Fig. 2
figure 2

Intervention screenshot examples—main subpages. Note: main subpages of the website intervention include (a) Why be Active, capability and motivation; (b) How to be Active, opportunities and skills; (c) Be inspired, coping role models; (d) information about the programme; and (e) contact details for enquiries

Participants will receive one telephone health coaching consultation, which will occur within 2 weeks of randomisation. The consultation session will facilitate goal setting and physical activity behaviour change, using evidence-based theoretically informed behaviour change principles. Health coaching will be provided by a tertiary-trained physiotherapist with additional training in motivational interviewing and behavioural intervention techniques, and experience in delivering telephone-based health coaching in the context of research studies.

Participants will receive either 8 email messages or 24 SMS messages depending on their preference. The messages will be similar in content and aim to support physical activity using behaviour change techniques, informed by the COM-B system model of behaviour [13] and SDT [12]. Behaviour change techniques will include providing practical tips, addressing barriers, providing motivation by social modelling and reminders of the benefits of physical activity, assisting with action planning, problem-solving and time management. These messages will also contain a link back to the Active Women over 50 website.

Control group

Participants randomised to the control group will be waitlisted to receive access to the Active Women over 50 full programme after the 3-month follow-up data collection period.

Outcomes

Primary outcomes

The primary outcome will be participant acceptability of the intervention and study methods. A global measure will assess whether participants would recommend participation in the study to someone else like themselves. Participants will be asked to select “yes” or “no/unsure” to the question “Would you recommend the Active Women over 50 study to another person such as yourself?” at 3 months post-randomisation.

Secondary outcomes

Secondary outcomes will measure the feasibility of the study methods and intervention and the impact of the intervention. Feasibility will be evaluated with process indicators at 3 months post-randomisation using study records to measure the 1) rates of recruitment assessed by the proportion of people screened who met the inclusion criteria and proportion of eligible people who agreed to participate in the study; 2) representation of sociodemographic characteristics of participants screened and consenting to participate in the study; 3) retention of participants assessed by the number of participants who withdraw consent or participation; 4) mode by which people heard about the study; 5) completeness of outcome data assessed by accelerometer and survey questionnaire outcome data; 6) uptake of telephone health coaching consultation with the research physiotherapist, assessed by the proportion of intervention participants who make an appointment with the research physiotherapist health coach; 7) uptake of the Active Women over 50 website resource, assessed by the proportion of intervention participants who used the website, the website content that was accessed and the intensity of website usage, measured by Google Analytics; and 8) engagement with the email messages, assessed by the proportion of intervention participants who open the automated email messages sent by secure email marketing website Vision6 [40]. Records will be kept when different aspects of the intervention are offered, delivered and received by each participant.

Intervention impact will be measured via a questionnaire and Actigraph GT3X+ accelerometer, as detailed below, at 3 months post-randomisation assessing 1) the average number of steps taken per day (accelerometer measured), 2) the proportion of participants taking part in at least 150 min of moderate-intensity physical activity per week or at least 75 min of vigorous-intensity physical activity per week (as recommended by the Australian Physical Activity Guidelines) [5] (accelerometer measured), 3) exercise perceptions as measured by the Exercise Benefits and Barriers Scale [41], 4) mood as measured with the positive and negative subscales of the Positive and Negative Affect Schedule [42], 5) self-reported physical activity as measured by the International Physical Activity Questionnaire [43], 6) physical functioning as measured by the function component of the Late Life Function and Disability Instrument [44], and 7) health-related quality of life as measured by the EQ-5D-5 L survey [45].

Data collection procedure

Both the questionnaire-based measures and accelerometer-measured physical activity will be completed at baseline and repeated at 3 months post-randomisation. Data will be assessed or extracted by a research assistant blinded to group allocation. Questionnaires will take approximately 30 min to complete and will be accessed via an online survey link (REDCap [36]) or sent in hardcopy by post, as preferred by the participant.

The intervention group will complete an additional questionnaire at 3 months post-randomisation to assess their impressions of the intervention, perceived benefits and barriers, adverse events, usage of goal setting and their physical activity plans following the intervention. The questionnaire will ask both open- and closed-ended questions, for example “Did you set yourself a physical activity-based goal during the study?” and “What, if anything, helped you to achieve your goals?” An email or phone call will be sent to any participants with incomplete outcome measures to improve data completeness and participant retention.

Objectively measured physical activity

Actigraph GT3X+ is able to accurately estimate how physically active a person is throughout the day by measuring 3D body accelerations and is a valid instrument that has been extensively researched in the physical activity and public health field [46]. Participants will wear the Actigraph (GT3X+) for 7 consecutive days during waking hours (except during water-based activities or bathing). The accelerometer will be posted to participants with instructions for usage, along with an activity calendar to complete over the 7-day period and a pre-paid envelope for returning the device to the research team. Activity counts will be collected at a sampling frequency of 30 Hz and reintegrated to 60-s epochs for data analysis. Accelerometer data will be manually checked against participant activity calendars to verify wear time, and erroneous data will be excluded prior to analysis.

Data management

To ensure participant confidentiality, the final dataset will contain re-identifiable information only. All study data will be entered onto a password-protected database and maintained on a firewall-protected local network server at The University of Sydney. Paper files will be stored in a locked filing cabinet in the Chief Investigator’s office. The database and paper files will only be accessed by study staff. All publications associated with the results of the study will involve de-identified data, so participant confidentiality will be maintained.

Analysis of outcomes

Feasibility outcomes will be analysed descriptively to guide the design of a larger trial. Accelerometer data will be analysed using ActiLife 6 software with time spent in different activity intensity levels calculated using the Troiano 2008 cut-points [47]. Acceptable wear time will be defined as at least 4 days with 10 h or more per day of valid wear time. Periods of 90 min or more of consecutive zeros (indicating non-use) will be considered as non-wear time.

Odds ratios will be calculated to assess the acceptability and feasibility of the study on the dichotomously scored primary outcome (the likelihood a participant would recommend participation in the study to someone else such as themselves) to assess the effect of group allocation on the dichotomously scored secondary outcome (proportion of people achieving physical activity in accordance with national guidelines) [5], adjusting for baseline scores. The study methods will be considered feasible if at least 80% of all participants complete follow-up measurements, or 80% of intervention participants access the intervention website or participate in the telephone health coaching session. Intervention versus control group differences in secondary outcomes, analysed with general linear models adjusting for baseline scores, will estimate effect sizes for sample size calculations for a larger trial and will provide an indication of likely intervention effect. This will be the progression criteria for proceeding to a fully powered randomised controlled trial.

A p value of < 0.05 will be considered statistically significant. Analyses will be pre-planned, conducted while masked to group allocation and will use an intention-to-treat approach. Analyses will be conducted using the Stata 14 software package.

Sample size justification

There will be 60 community-dwelling females aged 50 years and over recruited for the pilot trial [48], allocated in equal numbers to the intervention and control groups. This sample size will provide feasibility data and estimates for sample size calculations for planning a future fully powered trial [49].

Ethics and dissemination

The trial protocol has been approved by the Human Research Ethics Committee at The University of Sydney, Australia (approval number 2019/075). The trial was prospectively registered (ACTRN12619000490178, 26 March 2019). Results will be disseminated via peer-reviewed journal articles and international conferences, and a lay summary will be made available to all participants at the completion of the study.

Discussion

Active ageing is at the core of this highly innovative project that targets women aged 50 years and older. To our knowledge, there currently exists no other programme that specifically targets physical activity information, resources and support in a way that is relevant to the needs of women aged 50 years and over who are insufficiently physically active.

This innovative programme takes a tailored and supported approach to the provision of physical activity information and follow-up support through health coaching and email or SMS messaging and has the potential to substantially increase physical activity participation in women people aged 50 years and over. End user input has been used to design the website to provide relevance and familiarity to the target audience in the delivery of information, resources, inspirational stories and suggestions. Participants are regularly referred to the website via email or SMS messaging and provided with health coaching to further tailor and support their uptake of regular physical activity.

The Active Women over 50 programme also allows for the targeting of key messages to a broad range of women aged 50 years and over from different geographical areas and sociodemographic backgrounds. If found to be feasible and acceptable in this pilot RCT and effective in a future planned, rigorously conducted RCT, the Active Women over 50 programme has the potential to be easily scalable and implemented widely to significantly impact the lives of many people.

Availability of data and materials

Available on request from the corresponding author

Abbreviations

BCT:

Behaviour change technique

CONSORT:

CONsolidated Standards Of Reporting Trials

RCT:

Randomised controlled trial

REDCap:

Research Electronic Data Capture

SDT:

Self-determination theory

SMS:

Short message service, text messaging

SPIRIT:

Standard Protocol Items: Recommendations for Interventional Trials

TIDieR:

Template for Intervention Description and Replication

References

  1. Joy EL, Blair SN, McBride P, Sallis R. Physical activity counselling in sports medicine: a call to action. Br J Sports Med. 2012; bjsports-2012-091620.

  2. Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. The Lancet. 2016;388(10051):1311–24.

    Article  Google Scholar 

  3. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–29.

    Article  Google Scholar 

  4. Peeters G, Dobson AJ, Deeg DJ, Brown WJ. A life-course perspective on physical functioning in women. Bull World Health Organ. 2013;91:661–70.

    Article  Google Scholar 

  5. Australia's physical activity and sedentary behaviour guidelines: Australian Government Department of Health; 2014 [6 August 2019]. Available from: https://www1.health.gov.au/internet/main/publishing.nsf/Content/health-pubhlth-strateg-phys-act-guidelines#npa1864.

  6. Mok A, Khaw K-T, Luben R, Wareham N, Brage S. Physical activity trajectories and mortality: population based cohort study. BMJ. 2019;365:l2323.

    Article  Google Scholar 

  7. Australia's Health 2012: The thirteenth biennial health report of the Australian Institute of Health and Welfare: Australian Institute of Health and Welfare; 2012 [6 August 2019]. Available from: https://www.aihw.gov.au/reports/australias-health/australias-health-2012/contents/table-of-contents.

  8. Bjornsdottir G, Arnadottir SA, Halldorsdottir S. Facilitators of and barriers to physical activity in retirement communities: experiences of older women in urban areas. Phys Ther. 2012;92(4):551–62.

    Article  Google Scholar 

  9. Age Pension: Australian Government Department of Human Services; [15 August 2019]. Available from: https://www.humanservices.gov.au/individuals/services/centrelink/age-pension/who-can-get-it.

  10. National health survey: First results, 2014–15. ABS Cat No 43640 55001). 2015: Australian Bureau of Statistics; 2015 [6 August 2019]. Available from: https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/4364.0.55.0012014-15?OpenDocument.

  11. Temple J, Dow B, Baird M. Special working arrangements to allow for care responsibilities in Australia: availability, usage and barriers. Australian Population Studies. 2019;3(1):13–29.

    Article  Google Scholar 

  12. Ryan RM, Deci EL. Self-determination theory: basic psychological needs in motivation, development, and wellness: Guilford Publications; 2017.

    Google Scholar 

  13. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42.

    Article  Google Scholar 

  14. Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev. 2016;10(3):277–96.

    Article  Google Scholar 

  15. Gardner B, Smith L, Lorencatto F, Hamer M, Biddle SJ. How to reduce sitting time? A review of behaviour change strategies used in sedentary behaviour reduction interventions among adults. Health Psychol Rev. 2016;10(1):89–112.

    Article  Google Scholar 

  16. Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychology. 2009;28(6):690.

    Article  Google Scholar 

  17. French DP, Olander EK, Chisholm A, Mc SJ. Which behaviour change techniques are most effective at increasing older adults’ self-efficacy and physical activity behaviour? A systematic review. Annals Behav Med. 2014;48(2):225–34.

    Article  Google Scholar 

  18. Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Preventive Med. 2010;51(3-4):214–21.

    Article  Google Scholar 

  19. Lustria MLA, Cortese J, Noar SM, Glueckauf RL. Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Educ Couns. 2009;74(2):156–73.

    Article  Google Scholar 

  20. Neville LM, O'Hara B, Milat A. Computer-tailored physical activity behavior change interventions targeting adults: a systematic review. Int J Behav Nutr Phys Act. 2009;6(1):30.

    Article  Google Scholar 

  21. Stephens J, Allen J. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs. 2013;28(4):320.

    Article  Google Scholar 

  22. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362.

    Article  Google Scholar 

  23. Orr JA, King RJ. Mobile phone SMS messages can enhance healthy behaviour: a meta-analysis of randomised controlled trials. Health Psychol Rev. 2015;9(4):397–416.

    Article  Google Scholar 

  24. Neff R, Fry J. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009;11(2):e16.

    Article  Google Scholar 

  25. Oliveira JS, Sherrington C, Amorim AB, Dario AB, Tiedemann A. What is the effect of health coaching on physical activity participation in people aged 60 years and over? A systematic review of randomised controlled trials. Br J Sports Med. 2017;51(19):1425–32.

    Article  Google Scholar 

  26. Schulz KF, Altman DG, Moher D. CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8:18.

    Article  Google Scholar 

  27. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200–7.

    Article  Google Scholar 

  28. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. Bmj. 2014;348:g1687.

    Article  Google Scholar 

  29. Norton KI, Norton L. Pre-exercise screening: guide to the Australian adult pre-exercise screening system: Exercise and Sports Science Australia Australia; 2011.

  30. Active and Healthy website: NSW Ministry of Health; 2017 [6 August 2019]. Available from: https://www.activeandhealthy.nsw.gov.au/.

  31. parkrun: parkrun Australia; 2011 [6 August 2019]. Available from: https://www.parkrun.com.au/.

  32. Wellness Coaching Australia [15 August 2019]. Available from: https://www.wellnesscoachingaustralia.com.au/.

  33. Health Change Australia [15 August 2019]. Available from: http://www.healthchange.com/.

  34. Medicoach [15 August 2019]. Available from: http://medicoach.com.au/.

  35. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208.

  36. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.

    Article  Google Scholar 

  37. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W. The behaviour change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behaviour change interventions. Ann Behav Med. 2013;46.

  38. Wallbank G, Sherrington C, Canning CG, Hassett L, Shepherd R, Richards B, et al. Active women over 50: study protocol for RCT of a low-dose information and support program to promote physical activity behaviour change. BMC public health. 2019;19(1):1225.

    Article  Google Scholar 

  39. Get Healthy Information and Coaching Service: NSW Ministry of Health; 2019 [6 August 2019]. Available from: https://www.gethealthynsw.com.au/.

  40. Vision6 Email marketing: Vision6; [2 April 2019]. Available from: https://www.vision6.com.au/.

  41. Sechrist KR, Walker SN, Pender NJ. Development and psychometric evaluation of the exercise benefits/barriers scale. Res Nurs Health. 1987;10(6):357–65.

    Article  CAS  Google Scholar 

  42. Watson D, Clark L. The PANAS-X: manual for the positive and negative affect schedule-expanded form. Retrieved March. 1994;6:2009.

    Google Scholar 

  43. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.

    Article  Google Scholar 

  44. Haley SM, Jette AM, Coster WJ, Kooyoomjian JT, Levenson S, Heeren T, et al. Late life function and disability instrument: II. Development and evaluation of the function component. J Gerontol A Biol Sci Med Sci. 2002;57(4):M217–M22.

    Article  Google Scholar 

  45. Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5 L). Qual Life Res. 2011;20(10):1727–36.

    Article  CAS  Google Scholar 

  46. Pedersen ES, Danquah IH, Petersen CB, Tolstrup JS. Intra-individual variability in day-to-day and month-to-month measurements of physical activity and sedentary behaviour at work and in leisure-time among Danish adults. BMC Public Health. 2016;16(1):1222.

    Article  CAS  Google Scholar 

  47. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181–8.

    Article  Google Scholar 

  48. Johanson GA, Brooks GP. Initial scale development: sample size for pilot studies. Educational and Psychological Measurement. 2010;70(3):394-400.

  49. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. Journal of evaluation in clinical practice. 2004;10(2):307–12.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable

Funding

This trial is externally funded by a Charles Perkins Centre Active Ageing Research Node seed grant, The University of Sydney. The study protocol has undergone peer review by the funding body. LH, CS and AT are supported by research fellowships from the National Health and Medical Research Council of Australia. The funders played no role in the study design and will not have any role during its execution, analyses, interpretation of the data or decision to submit results.

Author information

Authors and Affiliations

Authors

Contributions

AT, CS, GW, and LH conceived of the study. GW, AT, and CS initiated the study design and implementation methods. GW will be the study manager. GW, AT, and CS will conduct the primary analyses. All authors contributed to the refinement of the study protocol and approved the final manuscript.

Corresponding author

Correspondence to Geraldine Wallbank.

Ethics declarations

Ethics approval and consent to participate

The trial protocol has been approved by the Human Research Ethics Committee at The University of Sydney, Australia (approval number 2019/075, 8 March 2019). Written informed consent will be obtained from study participants.

Consent for publication

Not applicable

Competing interests

The authors declare they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wallbank, G., Sherrington, C., Hassett, L. et al. Active Women over 50 online information and support to promote physical activity behaviour change: study protocol for a pilot trial. Pilot Feasibility Stud 6, 91 (2020). https://doi.org/10.1186/s40814-020-00627-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40814-020-00627-9

Keywords