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West End Walkers 65+: A randomised controlled trial of a primary care-based walking intervention for older adults: Study rationale and design
© MacMillan et al; licensee BioMed Central Ltd. 2011
Received: 21 December 2010
Accepted: 19 February 2011
Published: 19 February 2011
In Scotland, older adults are a key target group for physical activity intervention due to the large proportion who are inactive. The health benefits of an active lifestyle are well established but more research is required on the most effective interventions to increase activity in older adults. The 'West End Walkers 65+' randomised controlled trial aims to examine the feasibility of delivering a pedometer-based walking intervention to adults aged ≥65 years through a primary care setting and to determine the efficacy of this pilot. The study rationale, protocol and recruitment process are discussed in this paper.
The intervention consisted of a 12-week pedometer-based graduated walking programme and physical activity consultations. Participants were randomised into an immediate intervention group (immediate group) or a 12-week waiting list control group (delayed group) who then received the intervention. For the pilot element of this study, the primary outcome measure was pedometer step counts. Secondary outcome measures of sedentary time and physical activity (time spent lying/sitting, standing or walking; activPAL™ monitor), mood (Positive and Negative Affect Schedule), functional ability (Perceived Motor-Efficacy Scale for Older Adults), quality of life (Short-Form (36) Health Survey version 2) and loneliness (UCLA Loneliness Scale) were assessed. Focus groups with participants and semi-structured interviews with the research team captured their experiences of the intervention. The feasibility component of this trial examined recruitment via primary care and retention of participants, appropriateness of the intervention for older adults and the delivery of the intervention by a practice nurse.
West End Walkers 65+ will determine the feasibility and pilot the efficacy of delivering a pedometer-based walking intervention through primary care to Scottish adults aged ≥65 years. The study will also examine the effect of the intervention on the well-being of participants and gain an insight into both participant and research team member experiences of the intervention.
Trial registration number
Physical activity has been referred to as a 'miracle cure' because of the potential health benefits that can accrue from being regularly active . The current physical activity recommendation for health improvement and maintenance for older adults is to achieve 30 minutes of moderate intensity physical activity on most days of the week . Throughout this paper the term 'older adult' will be used to refer to an individual aged ≥65 years. The proportion of adults meeting the physical activity guideline on at least five days of the week in Scotland declines with increasing age; 78% of men and 83% of women aged 65-74 years and 89% of men and 94% of women aged ≥75 years currently do not meet that recommendation . The Scottish physical activity strategy "let's make Scotland more active" has a target of 50% of adults meeting the physical activity recommendation by 2022 . Older adults are a key segment of the population for physical activity intervention if Scotland is to reach the 2022 target, because of the low proportion of older adults meeting the physical activity guideline  and an ageing population structure . In addition, older adults may have the most to gain from physical activity intervention as a consequence of physical [7–9] and cognitive [10, 11] functions deteriorating with age. Being regularly physically active has physiological (e.g. reduced risk of overall mortality, cardiovascular disease, obesity, Type 2 diabetes, osteoporosis and breast and colo-rectal cancer), psychological (e.g. reduced anxiety and depression risk and reduced risk or decreased rate of dementia and memory loss development), social (e.g. interaction) and overall well-being benefits (e.g. increased energy, vitality and improved mood and sleep pattern) [2, 12]. Regular physical activity has a number of benefits that are particularly important for older adults. It can: a) slow the age-related decline in functional capacity; b) improve mobility and independence thus making activities of daily living easier; c) slow age-related declines in cognition or even improve cognitive functioning; d) reduce the risk of falling; and e) benefit areas of mental health such as social interaction and overall well-being [2, 12–14].
Walking is an ideal mode of physical activity for older adults and has been described as 'the nearest activity to perfect exercise'  (p. 328) as it is a cheap and safe way of increasing physical activity participation with minimal adverse effects . For previously sedentary adults, walking can result in physiological health benefits including decreases in body weight, body mass index, percentage body fat and resting diastolic blood pressure  as well as psychological health benefits such as positive effects on mood . In a systematic review by Ogilvie et al.  of the evidence for successful walking interventions, the authors identified a lack of peer reviewed literature on how best to support older people. The authors also concluded that walking interventions tailored to the individual and delivered on a one-to-one, household or group basis are the most successful at encouraging increases in walking participation in those that are most sedentary and/or most motivated to change . The review found evidence that pedometers are effective tools to increase walking participation in adults but there is a need for research to examine who can benefit the most from pedometer-based walking programmes and which elements of the interventions are most important to their success. In addition, the review called for studies to be conducted outside of the USA and Australia where most of the current literature was generated and also to focus on longer term effects.
There is growing interest around the world in the health implications of sedentary behaviour (time spent sitting and lying), independent of physical activity levels. A number of recent policy documents have highlighted concern about the high levels of sedentary behaviours in the Scottish population [4, 19]. Recent evidence suggests a dose-response association between sitting times and mortality from all causes and cardiovascular disease, independent of leisure time physical activity . If an individual achieves the recommended amount of physical activity, his/her health may still be at risk if sedentary for many hours. Recent research from Australia suggests that those who spend more time in sedentary behaviour but are sufficiently active (at least 2.5 hrs of activity/week) and those who are insufficiently active but spend less time in sedentary behaviours have a similar risk of being overweight or obese . A study using the activPAL™ to assess activity patterns in 20 older Scottish adults (mean age 74.0 ± 5.3 years) found that on average 18 hours/day were spent in sedentary behaviours .
Previous research conducted by our group found a 12-week individualised pedometer-based graduated walking programme ('Walking for Well-being in the West'(WWW)), delivered with a series of physical activity consultations, significantly increased walking behaviour, improved mood and decreased self reported sitting time in Scottish adults aged 18-65 years [17, 23] over a 3 month period. The WWW intervention was based on the recommendations from Ogilvie and colleagues' review , consisting of a one-to-one, theory-driven, individualised programme. The consultation was based on established guidelines  and adapted for walking behaviour. Specific behaviour change techniques that were used included information provision on the link between walking and health, setting graded tasks (pedometer step counts), identifying barriers and ways to overcome them, prompting self-monitoring by use of the pedometer, identifying social support and relapse prevention. All of these techniques have been recognised as having evidence for behaviour change and are used as described by Abraham et al. . The methods of the present study will determine if the same intervention that was used in WWW could be used to increase walking behaviour in adults aged ≥65 years who do not currently meet the physical activity recommendations.
WWW was based in a community setting but delivered by a research team. Little is known regarding the feasibility of delivering such walking interventions by professionals (not researchers) through primary care. Therefore this study was based in a primary care setting, specifically in a general practice (family practice) and delivered by a practice nurse. Recruitment was via a general practice in this study for two main reasons. Firstly, it is a convenient location to reach older adults, as older adults attend their general practice regularly and more often than younger individuals. General practitioner (family physician) consultation rates in Scotland increase from the 45-54 year age group upwards . In Scotland, 97% of the population is registered with a general practitioner/health practitioner  and 84% of patients have visited their local general practice team at least once in 2008/2009 . Secondly, the 'let's make Scotland more active'  strategy recommended that all patients coming into contact with primary care professionals should be offered counselling for physical activity tailored to individual needs. Thus there is a need to determine practical strategies that such professionals could use. A general practice setting was selected to facilitate future implementation via primary care. This study will explore the use of a non-physician delivery model by employing a practice nurse as the intervention deliverer. Given time constraints on physicians, the use of non-physician delivery models has been recognised as a significant research area . Appropriately trained nurses have been shown to produce equally high quality care as primary care doctors and achieve equally as good health outcomes for patients .
In 2008 National Health Service (NHS) Health Scotland developed a resource ('Energising Lives' ) for primary care staff and other health professionals to 'provide guidance on how to offer routine advice and encouragement to patients around physical activity' (p. 5) by including information on the benefits of physical activity and the physical activity recommendations for health. Although there have been various types of engagement across primary care to increase physical activity participation, there is currently no consensus evidence as to what is the best approach to promoting physical activity via primary care settings. Previous physical activity intervention studies delivered via primary care were reviewed by the National Institute for Health and Clinical Excellence (NICE)  in 2006. Eleven studies were included in the review, with six studies reporting significant increases in physical activity. The interventions included brief verbal advice, referrals, and motivational interviews delivered by health promotion specialists or researchers. Two studies delivered brief verbal advice and significantly increased physical activity [31, 32]. There are limitations with the evidence from these studies. Specifically, both studies lacked a control condition, were based in New Zealand and Australia rather than the UK, used subjective measures of activity, and used a general practitioner/family physician to deliver the intervention (a model unlikely to be adopted in the UK due to constraints on general practitioner time). Of eight UK based studies conducted in primary care since the publication of the NICE guidelines which offered exercise/physical activity support [33–40], only one of these specifically targeted older adults (women aged ≥70 years) ) and four included an objective assessment of physical activity [36–39] (although one study used self-reported step counts as opposed to monitoring stored counts ). Four of the eight studies incorporated a pedometer into their intervention [33, 37–39]. The results suggested pedometer use can increase physical activity via primary care, and one study reported a 101% increase in step counts after 12 weeks . From these primary care-based studies it can be summarised that there is a paucity of research conducted in the UK looking at physical activity interventions that: a) target older adults; b) measure physical activity objectively to assess the efficacy of the interventions; c) have a graduated pedometer-based walking programme based on the current physical activity recommendations; and d) do not use highly trained members of primary care or researchers to recruit participants, deliver the intervention and perform follow-up appointments.
The West End Walkers study (WEW65+) has been designed as an exploratory trial, as described in phase II of the Medical Research Council's framework for the evaluation of complex interventions  and as a feasibility and pilot study, as described by the National Institute for Health Research Evaluation . A feasibility/pilot study not only tests (on a smaller level than a main study) the likely efficacy of the intervention (such as the anticipated effect size of the primary outcome) but also tests whether all elements of the planned study can be implemented in practice and work together . Such pilot work, when combined with a feasibility study, also tests intervention characteristics such as anticipated levels of recruitment, how easily the intervention can be implemented by the planned delivery team and whether the intervention is appropriate (e.g. in terms of time commitment, technological and skills demands, and accessibility) for the target population. The design and appropriateness of the intervention and the research protocol and how they impact on these issues (e.g. delivery, recruitment, uptake, retention, calibration, ease of data collection, implications of data for subsequent analysis) are vital for the success of both a pilot study and any subsequent full trial. To ensure that this pilot study took account of prior evidence and theory about behaviour change, implementation failures, and engagement in research, a logic model was developed of the initial protocol and this model was used along with key criteria from the RE-AIM framework , to strengthen our research plans. A separate paper has been written to describe this process (Blamey A, MacMillan F, Evans A, Fitzsimons C, Mutrie N: Using programme theory to strengthen research protocol and intervention design: A randomised controlled trial of a walking intervention for older adults (West End Walkers 65+), submitted). These steps were taken to strengthen the robustness of the pilot, to enhance the study protocol for a potential larger trial and enhance the generalisability of learning for general practice from both of these research stages.
To summarise, this study was designed to fill several research gaps in the literature. This study will explore the efficacy of a walking intervention (already shown to successfully increase walking in young to middle-aged adults ) in a randomised controlled trial with an older adult population in the UK and using an objective measurement of physical activity. The efficacy of the intervention on areas of health important to older adults will also be assessed using specific questionnaires shown to be valid and reliable measures in adult groups. The appropriateness of the physical activity recommendations and the walking intervention for older adults will also be explored. In addition this study will examine the feasibility of delivering the walking intervention in a primary care setting (general practice) to provide a practical solution to increasing physical activity levels of older adults, facilitating future implementation via this setting. The study will also look at the feasibility of delivering the walking intervention by a practice nurse (a more likely delivery mode in the UK than via general practitioners who have greater time constraints). Older adults were specifically targeted in this study due to the low proportion of Scottish older adults that currently meet the physical activity recommendations . Participants were recruited via a general practice as a means of accessing older adults, due to the high proportion of older adults that attend their general practice in Scotland .
This paper provides details of the rationale and study design (including information on the outcome measures assessed and recruitment process). The WEW65+ study aims to examine the delivery of a pedometer-based graduated walking programme in combination with physical activity consultations, through a primary care setting (general practice), to older Scottish adults who are currently not meeting the physical activity recommendations. The feasibility issues are: recruitment of participants into the study (who is targeted versus who is actually recruited) and delivery of the intervention via a primary care setting (general practice); delivery of the intervention by a practice nurse; practicality of administering the outcome measures; and whether the intervention is acceptable and enjoyable for an older adult population in a real-life setting. Determining the efficacy of the intervention in an older adult population (≥65 years) is also a pilot element of this study as the intervention has previously been shown to successfully increase walking participation in adults aged 18-65 years  but has not been tested in older adults. For the pilot component of this study, efficacy of the intervention will be evaluated by looking at the effect of the intervention on step counts (primary outcome), activity patterns and sedentary behaviour, mood, quality of life, perceived motor-efficacy and loneliness (secondary outcomes). Another pilot element of this study will be to assess if all components of the study can be implemented simultaneously and work together to have an effect on physical activity before planning a full trial.
The main research questions are:-
Is the recruitment and retention strategy successful?
Is the intervention acceptable, appropriate, accessible and useable for this group?
What is the efficacy of the intervention on outcome measures?
Are the outcome measures acceptable for this group?
All procedures were approved by the NHS Greater Glasgow and Clyde and University of Strathclyde Ethics Committees and were carried out in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants.
For the pilot element of this study, sample size was estimated based on the primary outcome measure, pedometer steps/day. Based on findings from previous work conducted by this research team a conservative estimate of the potential effect in this study was a mean increase of 2,000 steps/day . From prior research [44, 45], a conservative estimate of the standard deviation for steps/day in older adults is 3,000 steps. This corresponds to an effect size of D = .67 . Additionally, pedometer counts from older adults have been shown to be highly reliable , thus a high correlation between baseline and post-intervention data can be expected. Using the Power and Precision software, sample size for a Repeated Measures ANOVA was calculated for D = .67, α = .05, an inter-trial correlation of r = .60, and a desired power of β = .80. This yielded a sample size of 16 participants per group. Assuming a 30% loss in follow-up, a sample size of 46 (23 per group) was agreed as the target.
Recruitment commenced in August 2009. Medical records were screened for contraindications to physical activity  by a general practitioner. Computer random sequence generation was used to determine the order of screening. Recruitment was via letter sent from a general practitioner. Individuals were asked to indicate on a reply slip whether they would be interested in taking part. Positive responders indicated their preferred method of contact (email, post or telephone). A researcher contacted those wishing to take part to assess current physical activity participation and to schedule the first appointment. An open-ended question for negative responders to provide a reason why they did not want to take part was included in the recruitment letter. Reminder letters were sent out at least two weeks after initial study invitations to individuals that did not respond to the initial recruitment letter. Negative responders who did not give a reason for declining participation in their first reply were sent a further letter asking for help in trying to understand why the study did not appeal to them to assist the research team with future study recruitment.
Description of the stages of change in relation to meeting the current physical activity recommendations
Description of individual in terms of physical activity participation
Not regularly physically active and do not intend to be in the next 6 months
Not regularly physically active but are thinking about becoming more active in the next 6 months
Do some physical activity but do not participate in regular physical activity
Regularly active but for less than 6 months
Regularly active for over 6 months
Description of the behaviour change techniques targeted in the consultations
Behaviour change technique
How the technique was used in the consultation
Motivation for taking part
Discussion of why participant interested in the project
Information on the link between walking and health
Reflection on role of physical activity for health and well being
Self reflection on pros and cons of increasing walking
Weighing up pros and cons of increasing walking
Graded walking goals set tailored to each individuals baseline pedometer readings
Using the pedometer
Using the pedometer to monitor progress towards goals
Identifying and overcoming barriers
Recognising barriers and inviting participant to consider ways to overcome
For immediate intervention group only at consultation two: discussion of avoiding lapses, recognising situations which make walking difficult, thinking of alternatives.
Details of the 12-week pedometer based graduated walking programme
To increase the individual's average daily step count by 1500 steps above their baseline value on at least 3 days of the week
To increase the individual's average daily step count by 1500 steps above their baseline value on at least 5 days of the week
To increase the individual's average daily step count by 3000 steps above their baseline value on at least 3 days of the week
To increase the individual's average daily step count by 3000 steps above their baseline value on at least 5 days of the week
To maintain their walking level aiming for the week 7 goal
A local walking group was set up and led by a trained walk leader to help participants increase walking participation by providing peer support and a social support network. Feedback from participants in the WWW trial suggested the provision of a local walking group would have enhanced the study . Paths for All (http://www.pathsforall.org.uk), a national charity which promotes walking for health, assisted in the establishment (including the training of walk leaders by completion of a one day course) and sustainability of the walking group. An attendance record was kept to determine how many participants used the group and how often.
There were two groups in the study; an immediate intervention group (immediate group) and a 12-week waiting list group (delayed group). The design of the study was a 12-week randomised controlled trial with a 12-week follow up for the intervention group. The immediate group received the intervention when they were entered into the study. The delayed group acted as a control group and were instructed to continue with their normal physical activity behaviour for the first 12 weeks of the study before receiving the same intervention as the immediate group.
i) Physical activity
Daily physical activity was assessed using step counts measured by a sealed pedometer (NL-1000, New Lifestyles Inc, Lee's Summit, Missouri, USA). The NL-1000 records step count and minutes in moderate-to-vigorous intensity activity for the previous 7 days. Participants were instructed to wear the pedometer at all times apart from when washing and sleeping. The NL-1000 threshold for moderate-to-vigorous intensity was set at Level 3, corresponding to walking activity above 2.9 METs .
ii) Activity patterns
The activPAL monitor (PAL technologies Ltd, Glasgow, Scotland) was used to assess activity in more detail. The activPAL is a small (5 × 3.5 × 0.7 cm), light (20 g) unit which is attached to the anterior surface of the thigh, approximately midway between the inguinal crease and the proximal border of the patella. The monitor measures many variables including total time and percentage of time spent seated/lying, standing and walking, the duration of these events, number of steps per day and during each walking period and the cadence of walking periods. A detailed breakdown of the patterns of daily activity is given by the activPAL as events and periods of time spent in particular postures are time stamped. Data were recorded in 15-second epochs. The activPAL has a battery life of around 9 days and was worn continuously during this period (providing 8 full days of data). The monitor has previously been validated for use with an older population .
Physical activity and patterns of physical activity were measured at baseline, between 11 and 12 weeks and between 23 and 24 weeks in both groups over a period of 7-12 days (figure 1). At baseline pedometers were sealed using tape for both groups and at 11 weeks for the delayed group so that participants were not aware of their step counts. After the initial consultation (visit 2 for the immediate group and visit 4 for the delayed group) participants were given an unsealed pedometer. Pedometer and activPAL data collected between visits 1 and 2 gave a baseline reading of physical activity participation for both groups. Between visits 3 and 4 for the immediate group and between visits 5 and 6 for the delayed group, pedometer and activPAL data gave a measure of physical activity participation 12 weeks after the initial consultation. When physical activity was assessed between visits 5 and 6 for the immediate group this gave a measure of participation 12 weeks after the second consultation (i.e. 24 weeks after the initial consultation). Physical activity behaviour was also assessed subjectively using the Stage of Change question  at baseline and again at 24 weeks in both groups.
To determine the efficacy of physical activity interventions for older adults it is important to assess the effects of interventions on the specific areas of health that are important to older adults (e.g. functional capacity, well-being and social interaction). These areas were assessed using the following self-report questionnaires: the Positive and Negative Affect Schedule (PANAS) to assess mood ; the Short-Form (36) Health Survey version 2 (SF-36v2) questionnaire which measures quality of life ; the Perceived Motor-Efficacy Scale for Older Adults (PMES-OA) to assess functional ability ; and the UCLA Loneliness Scale (version 3)  as a measure of emotional and social loneliness. Questionnaires were completed by both groups at visits 1, 4 and 6. In addition to these questionnaires, at visit 1 participants completed a demographic questionnaire.
iii) Qualitative study
To gain an insight into participants' experiences of the walking intervention, two focus groups were conducted; one with the immediate group, the other with the delayed group (on completion of the 12-week programme). Focus groups are an established method for accessing personal experiences and for facilitating more in-depth understandings of participants' views . All focus groups were facilitated by two members of the research team. Each group consisted of seven to nine participants and lasted for approximately an hour. Questions posed examined both positive and negative experiences. Specifically, the focus group schedule explored perceived benefits of increased walking, views on the pedometer, the physical activity consultation and on-going support, problems encountered, future recommendations and reflections on participation. Focus groups were audio-recorded, transcribed verbatim and thematically analysed (see below). These data, when combined with demographic and efficacy data, will provide insight into the mediators and moderators of change in walking behaviour. In addition, semi-structured interviews were conducted with key members of the research team, in order to explore their experiences of implementing the intervention. The interview schedule covered key questions about the feasibility of implementing the intervention into current care and other settings (including acceptability of intervention training to current general practice staff) and ways of improving the intervention for future delivery. The qualitative evaluation of the intervention supplements the experimental phase by providing context-rich, in-depth information on participants' experiences and provides an insight into the underlying processes that determine the feasibility of the intervention, for instance, what worked, what did not work, the perceived impact and why and how the intervention could be improved for future delivery.
Visits were conducted either at a general practice in the West End of Glasgow or in the Glasgow Clinical Research Facility at the Western Infirmary, Glasgow (http://www.glasgowcrf.org.uk). Focus groups were conducted in a university building or a suitable community venue.
Quantitative data were entered into a Microsoft Excel (Microsoft Corp., Redmond, WA, USA) database and stored on a secure network drive. All questionnaire data were double-entered and checked by a member of the research team. Qualitative data were audio-recorded, transcribed verbatim and anonymised. Hard copies of questionnaire data and the focus group and interview transcripts were kept in a secure filing cabinet.
Data collection was completed in December 2010. Inferences about the effect of the intervention will be drawn from comparisons between groups in outcome measurements at baseline and at 12 weeks. Follow-up data at 24 weeks will be used in the immediate group to assess whether any benefits are maintained; in the delayed group follow-up data will provide a secondary assessment of the impact of the intervention. Data will be analysed on an intention to treat basis, that is according to the randomisation rather than whether or not the intervention was received or completed. In the first instance, missing data will not be imputed, though the sensitivity of the main findings will be assessed under alternative assumptions regarding missing values (such as last observation carried forward). Similarly, outlying values (e.g. very low step counts) will not be excluded from initial analyses, though analyses will be repeated following the exclusion of outcome values that fall outside plausible ranges. Qualitative data will be thematically analysed, which involves coding participants' speech into categories that summarise and systemise the content of the data . NVivo 8 software (QSR International, Melbourne, Australia) will be used to aid coding and data retrieval.
This paper describes the WEW65+ study rationale and design, including details of the intervention, the outcome measures and recruitment process. WEW65+ will provide information on the delivery of a walking intervention through a primary care setting specifically via a general practice (feasibility element of the study) as well as the efficacy of the intervention in men and women aged ≥65 years (pilot element of the study). The study will address several evidence gaps: a) exploration of the efficacy of an intervention to increase walking participation using an objective measure of physical activity in a randomised controlled trial with an older adult population in the UK; b) determination of the achievability of the physical activity recommendation for older adults; c) examination of the feasibility of recruiting older adults via a general practice; and d) assessment of the delivery of the walking intervention in a primary care setting (general practice) by a practice nurse.
Findings from this study will determine if the intervention is efficacious and feasible and thus if it should then be tested in a larger trial of effectiveness, in real-world conditions (based on current guidance on evaluation of complex interventions ). The framework objectives for phase II pilot and feasibility studies are as follows: to have confidence that the intervention can be delivered as planned; to be able to make 'safe assumptions about effect sizes and variability;' and to be confident of recruitment and retention rates. The Consolidated Standards for Reporting Trials (CONSORT), guidelines were designed to improve the design and reporting of randomised controlled trials . By following these guidelines the process of putting research into practice can be enhanced . Principles from the CONSORT guidelines were used to strengthen the design of this study.
Objective measures of physical activity
In this study the intervention is centred round the current physical activity recommendation for older adults and will inform whether this recommendation is achievable. Physical activity participation is measured using more than one objective measure in this study which will allow the comparison of step counts and other physical activity output (e.g., step rate and walking intensity) from the devices and provides a back-up should one device fail or work incorrectly. In addition to measuring physical activity, the activPAL measures sedentary time and these data will help to determine whether a recommendation for older adults on sedentary behaviour is required, and whether a walking intervention has a supplementary effect on sedentary behaviour.
The collection of well-being and functional ability data (mood, quality of life, perceived motor-efficacy and loneliness) are strengths of this study as these areas of health are extremely important in older people [2, 12]. Well-being data will also help facilitate cost-effectiveness analysis of the intervention in the future.
Mixed methods approach and lessons from previous research
This study combines quantitative and qualitative elements in order to address the research questions as comprehensively as possible.
The research team for this project consisted of 13 members from various disciplinary backgrounds (including physical activity researchers, psychologists, a sociologist, a measurement specialist, a general practitioner and a statistician). Steering group meetings were held monthly to drive the development of the study.
Several challenges should be considered when designing an intervention to be delivered via a general practice setting for older adults.
Delivering a walking intervention via a general practice
The study was based entirely in primary care (including recruitment, intervention delivery and follow-up). It was recognised that time scheduling in general practices is tight and thus we attempted to make the intervention not too time intensive. The duration of each study visit is between 5 and 60 minutes (see Figure 1 for visit time length). In this study there were 6 study visits in total. However three study visits (visits 1, 3 and 5) were for the measurement of physical activity. These visits would not be required if the walking intervention was to be implemented in general practices without the research components included in the WEW65+ study.
Targeting older adults
The trial recruited both men and women aged ≥65 years. Population data for Scotland highlight the alarmingly high proportion of older men and women that are inactive. Also, population data show that walking declines steadily with age in both men and women and that this decline is more marked and occurs earlier in men . Thus efforts are required to encourage both older men and women to increase their walking levels by developing interventions that target and are acceptable for both genders.
Screening for participation in physical activity
Little is known about how best to screen for physical activity participation and who is able to do this. In this study the general practitioner was the only team member granted full ethical access to medical records and who could therefore complete screening for eligibility into the study. An outcome of this study will be the development of a list of physical activity contraindications that are specific to an older adult population which can be used to aid physical activity screening in the future and could be used by other primary care staff, removing the requirement of a general practitioner for eligibility screening.
Screening out those who are already active
Defining who is 'already active' and 'insufficiently active' and the cut-off points for these using both objective and subjective measures of physical activity is a major challenge in physical activity intervention research. In an attempt to ensure that insufficiently active individuals were included in this study and already active individuals were excluded from participation the protocol had two physical activity level screening phases (verbal/written screening with a researcher and objective screening based on pedometer step counts). It is possible that during the initial screening phase individuals will over or under report physical activity. Objective physical activity readings can be affected by 'reactivity'  (when an individual changes their normal physical activity pattern because they are aware that their activity levels are being assessed) or wear compliance (e.g. forgetting to wear the activity monitor or not wearing it in the correct position). The use of self-report measures of physical activity, reactivity and wear compliance could adversely affect recruitment into the study. Individuals who are already regularly active may be incorrectly recruited (if for example they under-report the amount of activity they do or forget to wear the pedometer for all waking hours). Conversely, reactivity can lead to relatively inactive individuals incorrectly being excluded from study participation (if they walk more than usual during the monitoring period).
Participants were recruited via a single general practice thus the feasibility findings may have limited generalisability.
Physiological health and cost-effectiveness outcomes
Another limitation of this study is the lack of physiological health outcomes due to funding constraints. However, the health benefits of walking are already well-documented, whereas research is lacking in the area of determining how best to support people to walk regularly. A cost-effectiveness analysis will not be conducted in this study but the gathering of well-being data will aid such analysis in the future.
As mentioned earlier the CONSORT guidelines were used to guide the design of this study . This study did not have a control group over the full study period as it was viewed as unethical to withhold the walking intervention and consequently the possible health benefits that could occur from increasing physical activity participation. Thus we opted for a 'delayed' group rather than a true control group for the entire length of the study.
The feasibility elements of WEW65+ will inform research in the area of physical activity intervention delivery through a primary care setting via a general practice. The pilot component of this study examines efficacy of a walking intervention (already shown to be effective in younger adults ) in an older adult population in Glasgow, by measuring pedometer step counts as well as secondary measures including well-being. Useful information as to why individuals did not wish to participate in this study and the reasons for exclusion from the study during the screening process will aid the design of future physical activity interventions in older adults.
Project funding was received from the Chief Scientist Office of the Scottish government (reference number: CZH/4/457). Dr Macdonald and Karen Black were funded by the Scottish Primary Care Research Network and NHS Research and Development. We wish to thank Buckingham Terrace Medical Practice and the Clinical Research Facility in the Western Infirmary for providing rooms for study appointments. We would also like to acknowledge Avril Blamey for reviewing early drafts of this manuscript and Adam Evans for his role as research assistant in the early stages of the project.
- Department of Health: On the state of public health: Annual report of the Chief Medical Officer 2009. 2010, Department of Health: LondonGoogle Scholar
- Nelson ME, Rejeski WJ, Blair SN, Duncan PW, Judge JO, King AC, Macera CA, Castaneda-Sceppa C: Physical activity and public health in older adults. Recommendation from the American College of Sports Medicine and the American Heart Association. Circulation. 2007, 116 (9): 1094-1105. 10.1161/CIRCULATIONAHA.107.185650.View ArticlePubMedGoogle Scholar
- Executive Scottish: The Scottish Health Survey 2009. 2010, Crown Copyright: EdinburghGoogle Scholar
- Executive Scottish: let's make Scotland more active: A strategy for physical activity. 2003, Crown Copyright: EdinburghGoogle Scholar
- NHS Health Scotland: Five year review of 'Let's Make Scotland More Active' - A strategy for physical activity. 2009, NHS Health Scotland: EdinburghGoogle Scholar
- The Futures Project: Trend analysis papers. [http://www.scotland.gov.uk/Publications/2006/05/22134120/0]
- Strawbridge WJ, Kaplan GA, Camacho T, Cohen RD: The dynamics of disability and functional change in an elderly cohort: Results from the Alameda county study. Journal of the American Geriatrics Society. 1992, 40 (8): 799-806.View ArticlePubMedGoogle Scholar
- Sonn U: Longitudinal studies of dependence in daily life activities among elderly persons. Scandinavian Journal of Rehabilitation Medicine Supplement. 1996, 34: 1-35.PubMedGoogle Scholar
- Bennett KM: A longitudinal study of wellbeing in widowed women. International Journal of Geriatric Psychiatry. 1997, 12 (1): 61-66. 10.1002/(SICI)1099-1166(199701)12:1<61::AID-GPS465>3.0.CO;2-U.View ArticlePubMedGoogle Scholar
- Luo L, Craik FI: Aging and memory: A cognitive approach. Canadian Journal of Psychiatry. 2008, 53 (6): 346-353.PubMedGoogle Scholar
- Anstey KJ, Low L-F: Normal cognitive changes in aging. Australian Family Physician. 2004, 33 (10): 783-787.PubMedGoogle Scholar
- Department of Health: At least five a week: Evidence on the impact of physical activity and its relationship to health. A report from the Chief Medical Officer. 2004, London, 128-128Google Scholar
- NHS Health Scotland: Energising lives: A guide to promoting physical activity in primary care. 2008, NHS Health Scotland: EdinburghGoogle Scholar
- O'Donovan G, Blazevich AJ, Boreham C, Cooper AR, Crank H, Ekelund U, Fox KR, Gately P, Giles-Corti B, Gill JMR, et al: The ABC of physical activity for health: A consensus statement from the British Association of Sport and Exercise Sciences. Journal of Sports Sciences. 2010, 28 (6): 573-591.View ArticlePubMedGoogle Scholar
- Morris JN, Hardman AE: Walking to health. Sports Medicine. 1997, 23 (5): 306-333. 10.2165/00007256-199723050-00004.View ArticlePubMedGoogle Scholar
- Murphy MH, Nevill AM, Murtagh EM, Holder RL: The effect of walking on fitness, fatness and resting blood pressure: A meta-analysis of randomised, controlled trials. Preventive Medicine. 2007, 44 (5): 377-385. 10.1016/j.ypmed.2006.12.008.View ArticlePubMedGoogle Scholar
- Baker G, Gray S, Wright A, Fitzsimons C, Nimmo M, Lowry R, Mutrie N, the Scottish Physical Activity Research Collaboration: The effect of a pedometer-based community walking intervention "Walking for Wellbeing in the West" on physical activity levels and health outcomes: A 12-week randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity. 2008, 5 (5): 44-49.View ArticlePubMedPubMed CentralGoogle Scholar
- Ogilvie D, Foster CE, Rothnie H, Cavill N, Hamilton V, Fitzsimons CF, Mutrie N, on behalf of Scottish Physical Activity Research Collaboration: Interventions to promote walking: Systematic review. British Medical Journal. 2007, 334 (7605): 1204-1207. 10.1136/bmj.39198.722720.BE.View ArticlePubMedPubMed CentralGoogle Scholar
- Scottish Executive: Improving health in Scotland - The challenge. 2003, Crown CopyrightGoogle Scholar
- Katzmarzyk PT, Church TS, Craig CL, Bouchard C: Sitting time and mortality from all causes, cardiovascular disease, and cancer. Medicine & Science in Sports & Exercise. 2009, 41 (5): 998-1005.View ArticleGoogle Scholar
- Sugiyama T, Healy G, Dunstan D, Salmon J, Owen N: Joint associations of multiple leisure-time sedentary behaviours and physical activity with obesity in Australian adults. International Journal of Behavioral Nutrition and Physical Activity. 2008, 5: 35-10.1186/1479-5868-5-35.View ArticlePubMedPubMed CentralGoogle Scholar
- Grant PM, Granat MH, Thow MK, Maclaren WM: Analyzing free-living physical activity of older adults in different environments using body-worn activity monitors. Journal of Aging and Physical Activity. 2010, 18 (2): 171-184.PubMedGoogle Scholar
- Fitzsimons C, Baker G, Wright A, Nimmo M, Ward Thompson C, Lowry R, Millington C, Shaw R, Fenwick E, Ogilvie D, et al: The 'Walking for Wellbeing in the West' randomised controlled trial of a pedometer-based walking programme in combination with physical activity consultation with 12 month follow-up: Rationale and study design. BMC Public Health. 2008, 8: 259-10.1186/1471-2458-8-259.View ArticlePubMedPubMed CentralGoogle Scholar
- Kirk A, Barnett J, Mutrie N: Physical activity consultation for people with Type 2 diabetes: Evidence and guidelines. Diabetic Medicine. 2007, 24 (8): 809-816. 10.1111/j.1464-5491.2007.02190.x.View ArticlePubMedGoogle Scholar
- Abraham C, Michie S: A taxonomy of behavior change techniques used in interventions. Health Psychology. 2008, 27 (3): 379-387. 10.1037/0278-6126.96.36.1999.View ArticlePubMedGoogle Scholar
- Wood R, Bain MRS: The health and well-being of older people in Scotland: Insights from national data. 2001, Edinburgh: Information & Statistics DivisionGoogle Scholar
- Information & Statistics Division: General practice - Practice team information. 2010, [http://www.isdscotland.org/isd/1044.html]Google Scholar
- Eakin EG, Glasgow RE, Riley KM: Review of primary care-based physical activity intervention studies: Effectiveness and implications for practice and future research. Journal of Family Practice. 2000, 49 (2): 158-168.PubMedGoogle Scholar
- Laurant M, Reeves D, Hermens R, Braspenning J, Grol R, Sibbald B: Substitution of doctors by nurses in primary care. Cochrane Database of Systematic Reviews. 2004, CD001271-4Google Scholar
- National Institute for Health and Clinical Excellence: Four commonly used methods to increase physical activity: Brief interventions in primary care, exercise referral schemes, pedometers and community-based exercise programmes for walking and cycling. 2006, London: National Institute for Health and Clinical ExcellenceGoogle Scholar
- Swinburn BA, Walter LG, Arrol B, Tilyard MW, Russell DG: The green prescription study: A randomized controlled trial of written exercise advice in general practice. American Journal of Public Health. 1998, 88 (2): 288-291. 10.2105/AJPH.88.2.288.View ArticlePubMedPubMed CentralGoogle Scholar
- Bull FC, Jamrozik K: Advice on exercise from a family physician can help sedentary patients to become active. American Journal of Preventive Medicine. 1998, 15 (2): 85-94. 10.1016/S0749-3797(98)00040-3.View ArticlePubMedGoogle Scholar
- Nanchahal K, Townsend J, Letley L, Haslam D, Wellings K, Haines A: Weight-management interventions in primary care: A pilot randomised controlled trial. British Journal of General Practice. 2009, 59 (562): e157-166. 10.3399/bjgp09X420617.View ArticlePubMedPubMed CentralGoogle Scholar
- Hardcastle S, Taylor A, Bailey M, Castle R: A randomised controlled trial on the effectiveness of a primary health care based counselling intervention on physical activity, diet and CHD risk factors. Patient Education and Counseling. 2008, 70 (1): 31-39. 10.1016/j.pec.2007.09.014.View ArticlePubMedGoogle Scholar
- Greaves CJ, Middlebrooke A, O'Loughlin L, Holland S, Piper J, Steele A, Gale T, Hammerton F, Daly M: Motivational interviewing for modifying diabetes risk: A randomised controlled trial. British Journal of General Practice. 2008, 58 (553): 535-540. 10.3399/bjgp08X319648.View ArticlePubMedPubMed CentralGoogle Scholar
- Kinmonth AL, Wareham NJ, Hardeman W, Sutton S, Prevost AT, Fanshawe T, Williams KM, Ekelund U, Spiegelhalter D, Griffin SJ: Efficacy of a theory-based behavioural intervention to increase physical activity in an at-risk group in primary care (ProActive UK): A randomised trial. Lancet. 2008, 371 (9606): 41-48. 10.1016/S0140-6736(08)60070-7.View ArticlePubMedGoogle Scholar
- McKay J, Wright A, Lowry R, Steele K, Ryde G, Mutrie N: Walking on prescription: The utility of a pedometer pack for increasing physical activity in primary care. Patient Education Counseling. 2009, 76 (1): 71-76. 10.1016/j.pec.2008.11.004.View ArticlePubMedGoogle Scholar
- Yates T, Davies M, Gorely T, Bull F, Khunti K: Effectiveness of a pragmatic education program designed to promote walking activity in individuals with impaired glucose tolerance: A randomized controlled trial. Diabetes Care. 2009, 32 (8): 1404-1410. 10.2337/dc09-0130.View ArticlePubMedPubMed CentralGoogle Scholar
- Sugden JA, Sniehotta FF, Donnan PT, Boyle P, Johnston DW, McMurdo ME: The feasibility of using pedometers and brief advice to increase activity in sedentary older women - A pilot study. BMC Health Services Research. 2008, 8: 169-View ArticlePubMedPubMed CentralGoogle Scholar
- Bull FC, Milton KE: A process evaluation of a "physical activity pathway" in the primary care setting. BMC Public Health. 10: 463-10.1186/1471-2458-10-463.Google Scholar
- Craig P, Dieppe P, Macintyre S, Mitchie S, Nazareth I, Petticrew M: Developing and evaluating complex interventions: The new Medical Research Council guidance. British Medical Journal. 2008, 337: 979-983. 10.1136/bmj.a1655.View ArticleGoogle Scholar
- National Institute for Health Research Evaluation, Trials and Studies Coordinating Centre: Glossary. [http://www.netscc.ac.uk/glossary/]
- Glasgow RE, Vogt TM, Boles SM: Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health. 1999, 89 (9): 1322-1327. 10.2105/AJPH.89.9.1322.View ArticlePubMedPubMed CentralGoogle Scholar
- Rowe D, Kemble C, Robinson T, Mahar M: Daily walking in older adults: Day-to-day variability and criterion-referenced validity of total daily step counts. Journal of Physical Activity and Health. 2007, 4 (4): 434-336.PubMedGoogle Scholar
- Stel VS, Smit JH, Pluijm SMF, Visser M, Deeg DJH, Lips P: Comparison of the LASA Physical Activity Questionnaire with a 7-day diary and pedometer. Journal of Clinical Epidemiology. 2004, 57 (3): 252-258. 10.1016/j.jclinepi.2003.07.008.View ArticlePubMedGoogle Scholar
- Cohen J: Statistical power analysis for the social sciences. 1988, New York: Routledge Academic, 2Google Scholar
- Greig CA, Young A, Skelton DA, Pippet E, Butler FM, Mahmud SM: Exercise studies with elderly volunteers. Age and Ageing. 1994, 23 (3): 185-189. 10.1093/ageing/23.3.185.View ArticlePubMedGoogle Scholar
- Marcus BH, Simkin LR: The Transtheoretical Model: Applications to exercise behaviour. Medicine and Science in Sports and Exercise. 1994, 26 (11): 1400-1404.View ArticlePubMedGoogle Scholar
- Glasziou P, Chalmers I, Altman DD, Bastian H, Boutron I, Brice A, Jamtvedt G, Farmer A, Ghersi D, Groves T, et al: Taking healthcare interventions from trial to practice. British Medical Journal. 2010, 341: c3852-10.1136/bmj.c3852.View ArticlePubMedGoogle Scholar
- Kirk A, Mutrie N, MacIntyre P, Fisher M: Effects of a 12-month physical activity counselling intervention on glycaemic control and on the status of cardiovascular risk factors in people with Type 2 diabetes. Diabetologia. 2004, 47 (5): 821-832. 10.1007/s00125-004-1396-5.View ArticlePubMedGoogle Scholar
- Hughes A, Mutrie N, et al: Exercise consultation improves exercise adherence in phase IV cardiac rehabilitation. Journal of Cardiopulmonary Rehabilitation. 2002, 22 (6): 421-425. 10.1097/00008483-200211000-00007.View ArticlePubMedGoogle Scholar
- Beets MW, Agiovlasitis S, Fahs CA, Ranadive SM, Fernhall B: Adjusting step count recommendations for anthropometric variations in leg length. Journal of Science and Medicine in Sport. 2010, 13 (5): 509-512. 10.1016/j.jsams.2009.11.002.View ArticlePubMedGoogle Scholar
- Rowe D, Welk G, Heil D, Kemble C, Calabro M, Camenisch K, Mahar M: Stride rate guidelines for moderate intensity walking. Medicine and Science in Sport and Exercise. 2010, electronic version available ahead of print at, [http://journals.lww.com/acsm-msse/Abstract/publishahead/Stride_Rate_Recommendations_for_Moderate_Intensity.99166.aspx]Google Scholar
- Tudor-Locke C, Sisson SB, Collova T, Lee SM, Swan PD: Pedometer-determined step count guidelines for classifying walking intensity in a young ostensibly healthy population. Canadian Journal of Applied Physiology. 2005, 30 (6): 666-676.View ArticlePubMedGoogle Scholar
- McClain JJ, Sisson SB, Washington TL, Tracy L, Craig CL, Tudor-Locke C: Comparison of Kenz Lifecorder EX and ActiGraph accelerometers in 10-yr-old children. Medicine and Science in Sports and Exercise. 2007, 39 (4): 630-638. 10.1249/mss.0b013e3180313056.View ArticlePubMedGoogle Scholar
- Grant PM, Dall PM, Mitchell SL, Granat MH: Activity-monitor accuracy in measuring step number and cadence in community-dwelling older adults. Journal of Aging and Physical Activity. 2008, 16 (2): 201-214.PubMedGoogle Scholar
- Watson D, Clark LA, Tellegen A: Development and validation of brief measures of positive and negative affect: The PANAS Scales. Journal of Personality and Social Psychology. 1988, 54 (6): 1063-1070. 10.1037/0022-35188.8.131.523.View ArticlePubMedGoogle Scholar
- Jenkinson C, Stewart-Brown S, Petersen S, Paice C: Assessment of the SF-36 version 2 in the United Kingdom. Journal of Epidemiology & Community Health. 1999, 53 (1): 46-50.View ArticleGoogle Scholar
- Potter LM, Grealy MA, O'Connor RC: Healthy ageing, perceived motor-efficacy, and performance on cognitively demanding action tasks. British Journal of Psychology. 2009, 100 (Pt 1): 49-70. 10.1348/000712608X304478.View ArticlePubMedGoogle Scholar
- Russell DW: UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. Journal of Personality Assessment. 1996, 66 (1): 20-40. 10.1207/s15327752jpa6601_2.View ArticlePubMedGoogle Scholar
- Kitzinger J: Introducing focus groups in qualitative research. British Medical Journal. 1995, 311 (7000): 299-302.View ArticlePubMedPubMed CentralGoogle Scholar
- Braun V, Clarke V: Using thematic analysis in psychology. Qualitative research in psychology. 2006, 3 (2): 77-101. 10.1191/1478088706qp063oa.View ArticleGoogle Scholar
- Schulz KF, Altman DG, Moher D: CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. British Medical Journal. 2010, 340: c332-10.1136/bmj.c332.View ArticlePubMedPubMed CentralGoogle Scholar
- Welk GJ, Corbin CB, Dale D: Measurement issues in the assessment of physical activity in children. Research Quarterly for Exercise and Sport. 2000, 71 (Suppl 2): S59-S73.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/11/120/prepub
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