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A scoping study of interventions to increase the uptake of physical activity (PA) amongst individuals with mild-to-moderate depression (MMD)

Abstract

Background

Depression is the largest contributor to disease burden globally. The evidence favouring physical activity as a treatment for mild-to-moderate depression is extensive and relatively uncontested. It is unclear, however, how to increase an uptake of physical activity amongst individuals experiencing mild-to-moderate depression. This leaves professionals with no guidance on how to help people experiencing mild-to-moderate depression to take up physical activity. The purpose of this study was to scope the evidence on interventions to increase the uptake of physical activity amongst individuals experiencing mild-to-moderate depression, and to develop a model of the mechanisms by which they are hypothesised to work.

Methods

A scoping study was designed to include a review of primary studies, grey literature and six consultation exercises; two with individuals with experience of depression, two pre-project consultations with physical activity, mental health and literature review experts, one with public health experts, and one with community engagement experts.

Results

Ten papers met the inclusion criteria and were included in the review. Consultation exercises provided insights into the mechanisms of an uptake of physical activity amongst individuals experiencing mild-to-moderate depression; evidence concerning those mechanisms is (a) fragmented in terms of design and purpose; (b) of varied quality; (c) rarely explicit about the mechanisms through which the interventions are thought to work. Physical, environmental and social factors that may represent mediating variables in the uptake of physical activity amongst people experiencing mild-to-moderate depression are largely absent from studies.

Conclusions

An explanatory model was developed. This represents mild-to-moderate depression as interfering with (a) the motivation to take part in physical activity and (b) the volition that it is required to take part in physical activity. Therefore, both motivational and volitional elements are important in any intervention to increase physical activity in people with mild-to-moderate depression. Furthermore, mild-to-moderate depression-specific factors need to be tackled in any physical activity initiative, via psychological treatments such as Cognitive Behavioural Therapy. We argue that the social and environmental contexts of interventions also need attention.

Peer Review reports

Background

Depression is the largest contributor to disease burden globally, with around 300 million people affected [1]. It is diagnosed by the presence of a range of symptoms that are not due to other conditions, including insomnia, fatigue, and loss of interest in activities which were once enjoyable (anhedonia) [2]. Depression can be episodic and vary in severity. The distinction between mild, moderate and severe depression is made largely on the number of symptoms; five or more usually termed severe or major depression, less than five, mild or moderate [3]. The episodic nature of the condition can make planning, anticipating and sustaining activities difficult for people. This is likely to be a major factor in shaping adherence as well as an uptake of physical activity (PA).

PA encompasses everyday activities (such as cycling or walking), work-related activities, housework, do-it-yourself or gardening, and recreational activities such as dancing, active games, organised sport and gym work [4].

The UK’s NICE guideline for depression [2] highlights the cost-effectiveness of a structured group exercise programme as an adjunct treatment for mild-to-moderate depression (MMD); it recommends that individuals with MMD engage in three sessions of 45–60 min of PA per week, over 10 to 14 weeks. A report for the National Service Framework for Mental Health also recommends PA as a treatment option for people with depression [5]; however, neither offers detailed guidelines for the implementation of the recommendation and there is little consensus in the literature.

The overarching goal of this scoping study was to systematically map the literature on the topic i.e. interventions to increase the uptake of physical activity amongst individuals with mild-to-moderate depression; identify key concepts; theories; sources of evidence and gaps in knowledge [6]. The study had five objectives: (1) to identify interventions which sought to increase the uptake of PA in people with MMD; (2) to identify the characteristics of these interventions, including modifications made for MMD; (3) to describe theories underpinning these modifications; (4) to identify barriers and enablers to the uptake of PA in people with MMD; and (5) to develop an initial conceptual framework in the form of a model setting out the mechanisms by which interventions can be hypothesised to work, drawing on findings from literature and consultation exercises with the key stakeholders.

Methods

Scoping study methodology [6, 7] was appropriate here as the study addressed an exploratory question in the public health field involving complex multi-factorial interventions with a scarcity of high-quality randomized controlled trial (RCT) evidence [7].

The study was undertaken between May 2016 and January 2017 and was based on the framework by Levac and colleagues [8] that systematises a process of undertaking a scoping study into six stages; these are used as headings below, we added a seventh stage, the development of a model.

Stage 1: Identifying the research question

Consultation was an ongoing process throughout the study [9]. Key stakeholders were approached at the outset and contributed to the establishment of the research question and overall purpose of the study (further information about the consultation can be found in the consultation section). The research question established in this way was:

What are the characteristics of the interventions that aim to increase the uptake of physical activity amongst individuals with mild-to-moderate depression?

To address this question the following objectives were developed:

  1. a)

    To gather data concerning interventions developed to increase an uptake of PA amongst individuals with MMD, with specific focus on the MMD-related modifications, the theories on which these modifications are based, and barriers and enablers to the uptake of PA amongst people experiencing MMD.

  2. b)

    To develop a model of how approaches to increase the uptake of PA amongst people with MMD can be hypothesised to work.

Stage 2 study eligibility for inclusion in the review

The PICOS framework was used to develop the search question and clarify exclusion/inclusion criteria [10]. The framework supports the construction of an effective combination of search terms through the categorisation of search terms into the concepts of Population, Intervention, Comparison, Outcomes and Study Design [11, 12]; such an approach also helps to ensure that the searches are comprehensive and reduces the risk of bias.

Population: Adults with MMD (main group or subgroup).

Intervention: Interventions developed to increase the uptake of PA in individuals with MMD (either as a main group or subgroup).

Comparator: People with MMD receiving treatment as usual or, as controls, individuals with no depression.

Outcome: Uptake of physical activity behaviour.

Study type: Studies reporting primary data and published in the English Language.

The positive effects of PA on alleviating depression symptoms were taken as uncontested [13,14,15,16], hence studies exploring this were excluded.

Stage 3 identifying studies relevant to the research question

As a scoping study, two specific limitations were put on the search. The first was the decision to search only three databases, MEDLINE, PubMed, and PsycINFO (ProQuest). These databases were selected as their scope best fitted the remit of the review. The second was to search for papers published between January 2001 and January 2017. The start date of 2001 was selected in line with the publication of the National Quality Assurance Framework for exercise referral, intended to raise standards of exercise referral schemes, and consequently to increase physical activity levels in the population [17]. The search terms included: access/accessibility, active play, depression, depressive disorder, physical fitness, physical activity, exercise, exercise therapy, referral, self-referral, referred, health behaviour, health promotion, public health, physical environment, and social environment. These terms were developed by an experienced Information Scientist (DH), who also identified key and appropriate databases. She designed and ran the initial search strategy, from a small number of relevant articles identified in the consultation process. The initial search strategy was then reviewed and refined by other members of the team (KM and PA). The searches were re-run before the final analysis commenced.

The search for grey literature was informed by Frank’s et al. [18] process. Searches were performed on trial databases (e.g. www.isrctn.com, grey literature databases (e.g. www.opengrey.eu), websites of relevant key organisations, and an Internet search engine (Google Scholar). Citation searches were also undertaken.

Website searches of key organisations were conducted, including the National Institute for Health and Care Excellence (NICE), the UK’s Department of Health (DoH), the World Health Organisation (WHO), the King’s Fund, MIND, Mental Health Research UK, and the Mental Health Foundation. In addition, a number of organisations were contacted, including Local Authorities, the local ‘Improving Access to Psychological Therapies’ (IAPT) services; and the National Centre for Sport and Exercise Medicine (NCSEM).

Stage 4: Charting of information and data within the included studies

In line with the scoping review methodology, a formal quality assessment of the studies was not required [19]. Two data extraction tables were created that included: Table 1: details of the studies and participants: author and year, country, study type, setting, conditions, diagnosis methods, number of participants, age and sex; Table 2: details of the interventions: author and year, types of PA, intensity, duration of intervention, whether or not and, if so, how an intervention was modified for individuals with depression, motivational component, how PA was assessed, delivery mode and outcomes. We also extracted information about the theory on which the intervention was based (Table 3); and barriers and enablers to an uptake of PA amongst individuals with MMD.

Table 1 Study; Country Study type; Setting; Conditions; Diagnosis tool; Number of participants; Age; and Sex
Table 2 Study; Types of PA; Intensity of PA; Duration of intervention; Modified for depression?; Motivational component?; PA assessment; Delivery mode; and Outcome
Table 3 Conceptual frameworks of interventions which included a psychological component

Stage 5: Collating, summarising and reporting results of the review

An analytical descriptive method was used to chart the data and to extract contextual or process-oriented information from each study [8]. This stage also included a qualitative data analysis approach [20]. The qualitative analysis focused mainly on modifications of interventions made for people experiencing MMD, the theories on which these modifications were based, and the barriers and enablers. This stage included consideration of implications for future research, policy and practice.

Stage 6: Consultation

There were six consultation exercises: two meetings with the lay representatives/individuals with experience of depression; two pre-project consultations with physical activity and mental health and information specialists; one pre-project consultation with public health specialists; and one consultation meeting with community engagement experts. Twenty stakeholders participated in the study, including individuals with experience of depression (n = 6), mental health (n = 2) and public health practitioners (n = 2), and academic experts in the fields as follows: physical activity (n = 2), public health (n = 3), mental health (n = 2), literature review (n = 1), and community engagement (n = 2). Efforts were made to ensure relevant and multi-disciplinary representation of experts to cover the various aspects of such a multi-disciplinary intervention which an uptake of PA amongst individuals with depression represents.

Meetings included a combination of structured presentation from the research team of the key issues that were drawn out from the literature review and group discussions. The discussions were digitally recorded and were transcribed verbatim. The purpose of the consultation exercises was twofold: 1) to integrate stakeholders into the entire research process, including deciding on the scope of the study, interpreting the findings from the literature review, developing a model of an uptake of PA amongst individuals with MMD, and knowledge translation, and, 2) to consider the implications of the findings for future practice and research, including intervention development.

Data analysis

A thematic analysis of the data from consultation transcripts was undertaken [21]. Thematic analysis was chosen as it supports flexibility in the analysis of research data in a couple of ways, i.e. inductive and deductive [22, 23], while allowing the researchers to provide a thorough account of the data. The data were independently coded by two researchers (KM and PA). The analysis of data began with an initial framework inductively developed using the literature review-elicited themes and categories regarding the key factors, which may affect the uptake of PA amongst individuals experiencing MMD. The initial framework was then refined further through iteration as coding progressed. The inter-coder agreement ranged from 83% to 91%, with a mean score of 87%; any discrepancies in judgement were resolved through discussion. The final themes were discussed and agreed upon by the entire research team.

Results

Literature review

A PRISMA flowchart summarising the search and screening process of databases, including primary studies, trials and grey literature searches, is shown in Fig. 1.

Fig. 1
figure1

Prisma flow diagram

The database searches returned 416 papers (after the removal of duplicates) that were reviewed by title and abstract and which resulted in the retention of 114 papers. A full-text screening of the remaining papers resulted in the identification of 7 papers that met the eligibility criteria of the review [24,25,26,27,28,29,30]. Citation tracking using the included papers generated a further 3 papers [31,32,33], giving a total of 10. Papers which met the criteria for inclusion in the review are listed in Table 1 and Table 2.

  1. (1)

    Interventions that aim to increase the uptake of PA in people with MMD:

The interventions had been undertaken in a range of countries. Three papers reporting research from UK primary care were part of a larger assessment of the UK’s Physical Activity Referral Schemes (PARSs) [28, 29, 33].

Interventions targeted patients treated for depression [26,27,28,29,30, 32, 33], depression and anxiety disorders [24, 25]. Various instruments for screening, diagnosing and measuring the severity of depression were used in the studies.

The participants were predominantly middle-aged (45–65 years); however, one study recruited college-aged participants [25]. Across studies, there were differences in the samples involved; seven studies recruited primary care patients [24, 27,28,29, 31,32,33], one study involved individuals enrolled in a community, university, and VA healthcare system [26], one study recruited orthopaedic patients [30], and one colleague students [25].

Studies used a range of PA outcome measures. In four studies the outcome was self-reported PA [28,29,30, 33]. In six studies the reported outcome was objectively measured levels of PA such as pedometers [22,23,24,25]. In one study the authors measured changes in physical fitness and in muscle endurance [24].

The most common study type was an RCT [26,27,28, 31], or pilot RCT [24, 25, 32]; two papers reported quasi-experimental designs [30, 33].

The first six papers listed in the Tables 1 and 2 were delivered specifically to individuals with MMD or depression and anxiety [24,25,26,27, 31, 32]; the remaining four were delivered to a mixed group of which the proportion with MMD was small, between 4% [29] and 18.9% [28].

  1. (2)

    The characteristics of the interventions, including modifications made for individuals experiencing MMD:

Four of the interventions included an element that was specifically focused on depression or, more precisely, an element in which the aim was to overcome the motivational barriers created by depression; all four of these studies were in the depression specific group [24, 25, 31, 32]. Each of these studies was based on a different theoretical framework, these being one, or a combination of, a Motivational Interviewing (MI) approach [24], Self-Determination Theory (SDT) plus an MI element [32], Cognitive Behavioural Therapy (CBT) [26], Social Cognitive Theory (SCT) [25], Behavioural Activation (BA) [32] and the strength-energy model of self-control combined with Implementation Intention [30].

Only two of the depression-specific studies which included a motivational element [25, 26] measured its effect on mediating variables affecting PA behaviour change, such as self-efficacy. The remaining studies measured the effect of the intervention on PA behaviour only. The CBT-based intervention reported significant increases in the participants’ self-efficacy for increasing their PA levels at follow up (p<.0001), compared to the control group [26]. The other, SCT-based intervention, reported increases in perceived self-efficacy during the intervention, which, however, declined over a 10-week period [25].

In three of the four studies which included a depression specific motivational element, the PA component was unsupervised; in one, however, physical activities were taken under the supervision of an exercise practitioner [32]. Two of the depression specific group did not have such an element but rather delivered a generic intervention, designed for the general population, to a group with depression. In Suija’s et al. [27] study, the depressed individuals were offered a Nordic walking intervention. In Oeland and colleagues’ study [31], the participants were offered a structured and supervised physical group exercise programme. None of the four interventions that were not depression-specific had any depression-related motivational element even though people experiencing depression were a subgroup in the studies.

Three of the four non-depression specific studies were reporting the UK’s Physical Activity Referral Schemes (PARSs) [28, 29, 33]. The PARS studies included in the review incorporated a motivational component in their interventions, albeit not depression-specific. One of those studies [29] explored mediating variables, including: perceptions of autonomy support, the degree to which an individual feels competent, relatedness, and autonomy needs satisfaction, intention to be active, and motivational regulations for PA.

Various types of physical activity and exercise were used in the studies. None of the studies discussed the effect of intensity on uptake, although in at least one case it might be argued that the intervention’s intensity could affect it [31].

Out of the six interventions delivered specifically for individuals with depression, four were successful in increasing uptake of PA [24,25,26, 31] whereas two were unsuccessful [27, 32]. The four unmodified interventions were not successful.

  1. (3)

    Theories on which these modifications have been made:

Table 3 delineates the theories, which reflect modifications for individuals with MMD. Researchers rarely offered theoretical explanations for the mechanisms through which the interventions were hypothesised to work although in some cases it could be discerned.

  1. (4)

    Barriers and enablers to the uptake of PA in people with MMD:

The review revealed a number of barriers to the uptake of PA. There was evidence that interventions which were successful in increasing the uptake of PA to patients with other conditions, such as those following orthopaedic surgery, were far less successful where those patients also had depression [30]. Lack of sufficient training for healthcare professionals in encouraging sedentary and depressed individuals to become physically active emerged as an important barrier [27, 33]. Even if such training was offered, heavy workload [32], the service’s performance targets [28], or qualification requirements [28], would take the priority. Staff turnover and absences presented additional barriers to the delivery of an intervention [32].

Overall, engagement of practitioners in delivering the interventions proved difficult [32]. This lack of engagement could also be attributed to some practitioners’ scepticism about the role of PA as an adjunct treatment for depression [32]. It could also be associated with the individuals’ preference for psychological treatments [32]. Furthermore, healthcare-grounded interventions faced additional challenges such as lack of appropriate infrastructure. Working with individuals from ethnic minorities who do not speak English with sufficient fluency was reported as a barrier to their engagement [26].

A number of interventions, which employed a motivational component, reported poor treatment fidelity [28, 29, 32].

Individual-related barriers included difficulties in accessing services [33], financial constraints [33], lack of time [29, 33], the nature of the condition [32], and cold and wet weather [24].

Design elements of the interventions, such as the lack of measurable goals were also identified as barriers [29]. In one study the computer interface used to deliver the intervention was perceived as insufficiently engaging [25]. In another study the intervention booklets were reported to be potentially overwhelming for the patients and perceived as physically too heavy to be carried by the practitioners [32].

Enablers to the uptake of PA amongst individuals with MMD included: the calming effects of PA [24]; participants’ satisfaction with interventions components such as the use of a diary to monitor adherence and progress [32]; the use of pedometers [25]; the presence of a gym instructor [31], and increased confidence in using gym equipment and in exercising safely [29].

Walking was found to be the preferred form of PA amongst some study participants e.g. [24]; other favoured activities included exercising in the gym and gardening [32]. In general, group-based PA was preferred [31]. For a full list of barriers and enablers identified in the studies see Appendix 1 (Table 4).

Consultation

The results of the literature review were discussed with the stakeholder groups. Much focus was given to the barriers to PA that feature strongly for those with MMD. Here we found it useful to distinguish motivation from volition.

Motivation and volition

Gollwitzer makes a distinction between goal intention and implementation intention and explains that adopting behaviour has at least two distinct phases [34, 35]. Goal intention is the initial phase and is also termed motivational; during this phase the individual weighs up the costs and benefits of the proposed action. The second implementation phase is termed volitional; during this phase the individual develops the strategies and plans to implement the proposed action. Those suffering from depression demonstrate changes in executive brain functions [36], which impair their motivational and volitional capacities [37, 38].

Those with milder and moderate forms of depression are likely to suffer from volitional deficits [39]; they are likely to develop intentions, e.g. to engage in various activities, but are likely to show deficits in their planning abilities and execution [39]. Even where those with MMD are convinced that PA is worthwhile for them, they may not feel it is a possibility. This might be because they have an enhanced sense of the barriers, what might be called the “yes-but” problem, or it might be because their condition inhibits their ability to create a plan of action of the time required to start PA.

Because hopelessness escalates with severity of depression, those with more severe forms of depression are likely to show more motivational deficits; they are unlikely to develop new intentions [39,40,41]. Expectations that the behaviour will result in a desired outcome (outcome expectations), and the belief that one can perform the behaviour (self-efficacy), are therefore likely to be low amongst those suffering from depression, making them less likely to develop intentions to set and achieve health behaviour goals [38]. The findings from our consultation exercise revealed similar results.

Motivation

Motivation to act may be intrinsic, led by internally rewarding ends-in-themselves, or extrinsic, led by external rewards [42,43,44,45], or a means-to-an-end. Intrinsic motivation is associated with individuals’ tendencies to be interested in and engage with the world, and to develop their skills and knowledge even in the absence of external rewards [46].

Whether an action is seen as worthwhile is largely a product of the individual’s perception of risks and benefits, be they intrinsic or extrinsic. Stakeholders felt that MMD can distort this perception, making the risks greater, the benefits smaller. This led to the general point, repeated throughout the discussion, that interventions which work to increase PA in the general population were unlikely to work unless they included elements addressing MMD itself. For example, the person with MMD might acknowledge that PA is worthwhile for most people but not them, for example because they cannot imagine themselves as anything other than depressed.

Moving on to points that apply in relation to PA for all people, there was a discussion of the reasons that people might find PA worthwhile; in some cases it might be the sociability of the activity, the possibility of finding networks, whilst others might prefer lone activity. And clearly, there would be preferences in terms of types of activity. In terms of sociability, attractiveness and enjoying an external environment, walking emerged as a favoured type of PA. Unlike other treatments for MMD, PA is well-suited for offering intrinsic as well as extrinsic motivation, as the discussion in the group showed. This might lie behind its effectiveness as a treatment and can be used to advantage in developing PA as a treatment and in order to encourage its uptake. PA itself can become motivating. Here an interesting question was whether non-physical activity rather than PA, such as social meetings with peers, would have less success in improving MMD.

Affordability and accessibility were thought to be an issue for people in deprived communities such that interventions might improve the health of the financially better off more than the financially worse off; a problem sometimes termed intervention-generated inequality. Indeed, city-level approaches to increasing PA levels tend to be more effective amongst those who are already active or have showed an interest in being active. Encouraging the uptake of PA amongst sedentary individuals, particularly in deprived areas, is always a challenge to Public Health [47].

Participants suggested that MMD often came in cycles and that initiatives would be unlikely to succeed when people were at their lowest point in the cycle; as such, initial failures to encourage PA should not prevent further attempts. Again, this also suggested the importance of treating MMD using other treatment methods alongside the PA.

Volition

Participants felt that MMD could interfere with volition such that even if they were persuaded that taking up PA was worthwhile, their ability to execute the plan to do so could be impaired. Barriers here would be largely internal, emphasising again the need to treat MMD within the PA program. In addition, the promotion of small amounts of activity, such as three-minute walks, might be more effective; or the promotion of activity through indirect means, such as short but frequent health appointments.

Discussion

This scoping review had five objectives, four of which have now been addressed. The fifth aim was to develop an initial conceptual model of how interventions might work in increasing an uptake of PA amongst those with MMD. Given the limited evidence found in the review, the model should be viewed as of the ‘how-possibly’ rather than ‘how-actually’ type [48]; in other words, a model of how the various interventions might work rather than how they are known to work.

Stage 7: The development of a conceptual model

The findings from this scoping study illustrate that both motivational and volitional deficits as well as social and environmental factors may impede an uptake of PA amongst those with depression. One way of modelling this uses Coleman’s model (or “Coleman’s Boat”) as a framework (please see Fig. 2 below); this explicitly takes account of the social context in social change (such as behaviour change), as well as paying attention to the specific nature of the individual [49,50,51].

Fig. 2
figure2

Coleman’s boat

Coleman’s purpose with the model was to show how social change occurs at micro and macro level, where micro level is usually taken to be that of the social individual or agent, and macro level, that of groups such as institutions. Hence, Node A represents a social fact at macro level; node B represents a fact at micro level concerning the “desires, goals, values, preferences, motives, emotions, habits […], routines, scripts, heuristics, cognitive schema, and identities […] of the individual agent” ([50] p.6). Nodes C and D represent the micro and macro levels (respectively) after the change has occurred. The lines between A and B (line 1) and C and D (line 3) represent the link between the macro and micro level; this is usually two way with, for example, the macro structures affecting how individuals at the micro level think and decide and vice versa. Line 2 represents the change at micro level, typically the behaviour of individuals; line 4 represents the change at macro level, for example, as one structure is either reinforced or modified. Change at the macro level is usually or always mediated via individual behaviour, hence line 4 is a dotted rather than unbroken line.

For our purposes, then, node A can be conceptualised as the population with MMD and their social situation including an intervention delivered by, for example, those diagnosed with the condition by their general practitioners. At node B, those with MMD are conceptualised as individuals having inter alia impaired ability to engage in PA over and above those individuals in the general population. The intervention that is delivered aims to reduce or overcome this deficit. If the intervention is successful, then changes occur at micro and macro level (lines 2 and 4) resulting in individuals motivated to do PA (node C) and, more widely, an increase in PA in the population with MMD (node D). In the light of the wider insights of the scoping review, the individual level (B) MMD would be conceptualised as individuals with motivational and volitional deficits to overcome, such as the weakened ability to plan action. Furthermore, the macro-micro level relationship between nodes A and B would include the effect they might have on each other; for example, an individual who becomes motivated to take up PA may live in a cultural environment (macro level fact), where some or even most of such activity is not seen as culturally acceptable. Hence, motivational-based interventions might be least successful in the communities where it is most needed, particularly economically deprived communities where levels of MMD are higher [52, 53].

At the micro level, one implication is that it would be worthwhile to combine interventions to increase an uptake of PA amongst those with depression with psychological treatments for MMD such that the approaches complement each other; an example might be a course of CBT, combined with a series of exercise classes or a walking group. One study that employed one of these approaches (CBT) was successful in both increasing uptake of PA and alleviating depression symptoms [26].

Volitionally, interventions may also be able to increase PA in those with MMD through indirect means; for example, frequent short therapy sessions (micro level) may be better than long infrequent sessions because they require more physical activity from the patient [54]. Furthermore, a 2013 Cochrane Review identified that more frequent sessions have a larger effect on mood [54].

Individuals’ intentions to be active can also be enhanced or impeded by the social context of interventions. The findings from our consultation exercises highlighted the importance of social relations in the formation of intention to be active. This finding is consistent with previous studies on PA attrition rates [55], indicating that, amongst other factors, social support from family and families’ attitudes towards PA had a significant effect on participation in PA. Amongst reviewed studies, some commentaries emphasised the importance of the social environment for PA [56]. Only one study, however, attempted to evaluate the effects of significant others’ support on individuals’ willingness to take up exercise on prescription. In our model, the social context’s effect on PA uptake represents a macro-level fact affecting a micro-level change (the individual’s ability to uptake PA).

The social context and its effect on volitional deficits may have been a factor in a study that was apparently focusing only on motivational deficit [31]. This was where a group instructor would help overcome volitional deficits, by instructing and supervising gym sessions. Other studies also report that the characteristics of group-based physical activity, such as bonding between group members, can evoke a sense of obligation and unwillingness to let others down by not showing for the PA [57].

Whilst supervised PA can overcome volitional issues there is a problem of dependence. In a study exploring adherence to PA post-supervised interventions for individuals with first-episode psychosis (FEP), adherence to unsupervised exercise was low [58]. It might be that supervised PA programmes lead to a certain level of dependency on exercise professionals for support. Also, low adherence to exercise post-intervention might result from interventions which fail to increase self-efficacy sufficient for physical activity maintenance (PAM). This highlights the importance of peer-group support or volunteers’ engagement in intervention to increase PA levels to ensure their long-term sustainability.

Nodes A and B on the model draw attention to the physical as well as the social environment. The findings from our consultation exercises and empirical evidence from behavioural economics highlight the importance of the environment in the choices we make (so-called nudge theory) [59]. For example, the results from our study confirm the importance of geographical proximity of sport facilities or parks for both the uptake and maintenance of PA [60, 61]. Although as Walking for Health [57] illustrates, the physical proximity of physical activity location may become less of an issue once the relationships between PA group members are established.

Our study participants indicated the importance of cost and convenience in facilitating an uptake of PA. This finding is similar to findings from previous studies, indicating that unaffordable facilities are the key barrier to PA amongst ethnic minority groups [62], and difficulties in engaging individuals in PA who live in deprived areas [63]. Issues such as unavailable childcare, personal safety and cultural inappropriateness of activities, were identified in previous studies as barriers to PA [62].

This model, then, would encourage the development of interventions which take in the motivational and volitional picture of action, combined with a complex view of the relationship between micro and macro environments. Individuals will vary widely, both in the balance of their own motivational and volitional attitudes to PA and in such matters as their socio-cultural environment. An individualised plan might work best [37] but if not possible, at least an awareness of the need to cover a variety of factors should help practitioners to develop more effective interventions.

Point D is the successful uptake of PA in a group of people with MMD exposed to the intervention at AB. It is not simply the addition of numbers of individuals at point C, those who have decided, or are inclined, to take up PA. This is because of feedback loops both here and at other points in the model. For example, the stability of the individuals’ intentional states regarding PA may be undermined by the macro environment through, say, physical or social barriers. Alternatively, the feedback may be positive as when the sociability of the activity is an important part of its appeal. Another positive feedback may rest in the type of PA; a combination of resistance and mixed training were found to be more effective than aerobic exercise [42]. This suggests the importance of selecting the most appropriate types of PA for those with MMD. Our study identifies walking and for some, gym-based activities and gardening as preferable forms of PA.

Coleman’s model: Coleman’s model can be, and has been here, used to represent a mechanism of change. Broadly, it shows how the intervention can be represented as micro and macro facts and/or factors that change the structure of individuals’ motivation and volition, as well as physical and social environments, causing behaviour change which can be maintained to the level of a social change. It is intended to be a simple picture, bringing out the chief shortfalls of current interventions. The model might be used in tandem with the health psychology model, Health Action Process Model (HAPA), as the latter includes constructs, such as self-efficacy, which will be of use in constructing and evaluating complex interventions [37, 38]. In this study we used exclusively the Coleman model since it is strong in enabling the picturing of the various ways or mechanisms by which an intervention can work or not. Furthermore, it allows us to take into account the social and environmental factors which may affect an uptake of physical activity.

Strengths and limitations: The validity of this study was achieved by: i) providing the details of the study process, including study selection, data extraction and data analysis; ii) ensuring that exclusion and inclusion criteria were applied independently by two researchers; and iii) involving the involvement of individuals with experience of depressionthroughout the study. One limitation of the review is that the quality of intervention design and evaluation was not formally assessed. This is appropriate for the objectives of a scoping review. Having established the extent and potential value of the included literature it would now be beneficial to further assess the quality of included studies within a formal systematic review process.

Implications for policy and practice: This study builds upon the developing body of knowledge in relation to an uptake of PA and MMD. Although the review could not settle the question of which approaches and interventions are effective in increasing an uptake of PA amongst individuals experiencing MMD, it has enabled the development of an explanatory model that can inform practice, policy and research. For practice and policy, this is mainly through highlighting the need to consider a broad range of mechanisms through which interventions work or fail to work in increasing an uptake of PA in those with MMD and whether different approaches may be effective for different subgroups of individuals with MMD.

Research implications: The model presented is of a how-possibly type, a framework of a hypothetical mechanism by which interventions would lead to changes in behaviour regarding uptake of PA. Researchers, particularly those of realist bent, would test this model looking at, for example, how the intervention at macro level is perceived at micro level, and whether the hoped-for changes in motivation and volition are actually seen. The need to look at volition is a clear implication of the model. In this way, the model would be developed from “as-if” to “as-actually”, that is, as shown by evidence.

This model could be developed for different contexts, such as environmental, social or ethnic groups. It was noticeable that the studies reviewed had little focus on socio-demographic factors and other sub-categories; these were collected inconsistently. Two studies listed sub-categories which were collected, without providing further details; seven studies reported the sub-categories to describe the baseline characteristics of participants. However, only two studies explored how the sub-categories could have affected the results [26, 30]. In one study those who continued to participate in the intervention were younger than those who dropped out [30]. In the other study those who provided follow-up data at 12 months had higher incomes [26]. [See Appendix 2 - Table 5 - Modifiers of Change]. As such, the proposed modified research would evaluate programs across a wider range of outcomes than whether they succeeded in increasing an uptake of PA, instead taking in such matters as how they worked, through what mechanisms, and for whom – this is, of course, a broadly realist approach, which would seem appropriate in this complex area. One suggestion from the consultation group of those with the condition is noteworthy for both future research and practice; this is the cyclical nature of the condition. This adds to the complexity, of course, but it also provides opportunity if this cycle is included in considering not just what type of interventions are effective and with whom, but also when. This is something which to our knowledge has not been noted in previous studies.

Conclusions

Given the strength of evidence favouring PA as a treatment for MMD, the need for equally strong evidence for delivering this treatment is urgently needed by practitioners and commissioners. At present, there is a shortfall in evidence. This study suggests, however, that attendance to the volitional as well as motivational deficits in MMD would be worthwhile in any programmes to increase PA in that population. Similarly, the environmental and social contexts of interventions also need attention.

References

  1. 1.

    World Health Organization. Depression and other common mental disorders. 2017.

    Google Scholar 

  2. 2.

    NICE. Depression in adults: recognition and management: CG90 [Internet]. London; 2009. Available from: http://www.nice.org.uk/guidance/CG90. Accessed 14 Mar 2018.

  3. 3.

    World Health Organization. The ICD-10 Classification of Mental and Behavioural Disorders: “Blue Book” (Clinical descriptions and diagnostic guidelines).

  4. 4.

    Department of Health. Start Active, Stay Active. London; 2011.

  5. 5.

    Department of Health. National Service Framework for Mental Health. London; 1999.

  6. 6.

    Grimshaw J. A guide to knowledge synthesis [Internet]. Canadian Institutes of Health Research. [cited 2017 Apr 26]. Available from: http://www.cihr-irsc.gc.ca/e/41382.html

  7. 7.

    Bragge P, Clavisi O, Turner T, Tavender E, Collie A, Gruen RL. The global evidence mapping initiative: scoping research in broad topic areas. BMC Med Res Methodol. 2011;11(1):92.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5:69.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Arksey H, Scoping Studies O’ML. Towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

    Article  Google Scholar 

  10. 10.

    Ashton LM, Hutchesson MJ, Rollo ME, Morgan PJ, Collins CE. A scoping review of risk behaviour interventions in young men. BMC Public Health [Internet]. 2014;14(1):957–80.

  11. 11.

    Helmer D, Savoie I, Green C, Kazanijan A. Evidence-based practice: extending the search to find material for the systematic review. Bull Med Libr Assoc. 2001;89(4):346–52.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Dissemination CR and. Systematic reviews: CRD’s guidance for undertaking reviews in health care [Internet]. York; 2009. Available from: http://www.york.ac.uk/inst/crd/pdf/Systematic_Reviews.pdf. Accessed 14 Mar 2018.

  13. 13.

    Schuch FB, Vancampfort D, Richards J, Rosenbaum S, Ward PB, Stubbs B. Exercise as a treatment for depression: a meta-analysis adjusting for publication bias. J Psychiatr Res [Internet]. 2016;77:42–51.

    Article  Google Scholar 

  14. 14.

    Conn VS. Depressive symptom outcomes of physical activity interventions: meta-analysis findings. Ann Behav Med. 2010;39(2):128–38.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Orrow G, Kinmonth A-L, Sanderson S, Sutton S. Effectiveness of physical activity promotion based in primary care: systematic review and meta-analysis of randomised controlled trials. BMJ. 2012;344(mar26 1):e1389.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Mammen G, Faulkner G. Physical activity and the prevention of depression: a systematic review of prospective studies. Am J Prev Med [Internet]. 2013;45(5):649–57.

    Article  Google Scholar 

  17. 17.

    Department of Health. Exercise Referral Systems : A national quality assurance framework. Primary Care. London: Department of Health; 2001.

  18. 18.

    Franks H, Hardiker NR, McGrath M, McQuarrie C. Public health interventions and behaviour change: reviewing the grey literature. Public Health. 2012 Jan;126(1):12–7.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J [Internet]. 2009;26(2):91–108.

    Article  Google Scholar 

  20. 20.

    Hsieh H, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2016;15(9):1277–88.

    Article  Google Scholar 

  21. 21.

    Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.

    Article  Google Scholar 

  22. 22.

    Frith H, Gleeson K. Clothing and embodiment: men managing body image and appearance. Psychol Men Masculinity. 2004;5(1):40.

    Article  Google Scholar 

  23. 23.

    Hayes N. Doing qualitative analysis in psychology. Abingdon: Psychology Press/ Taylor and Francis; 1997.

    Google Scholar 

  24. 24.

    Forsyth A, Deane FP, Williams P. A lifestyle intervention for primary care patients with depression and anxiety: a randomised controlled trial. Psychiatry Res. 2015 Jan;230(2):537–44.

    Article  PubMed  Google Scholar 

  25. 25.

    Mailey EL, Wojcicki TR, Motl RW, Hu L, Strauser DR, Collins KD, McAuley E. Internet-delivered physical activity intervention for college students with mental health disorders: a randomized pilot trial. Psychol Health Med. 2010;15(6):646–59.

    Article  PubMed  Google Scholar 

  26. 26.

    Piette JD, Richardson C, Himle J, Duffy S, Torres T, et al. A randomized trial of telephone counseling plus walking for depressed diabetes patients. Med Care. 2011;49(7):641–8.

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Suija K, Pechter U, Kalda R, Tähepõld H, Maaroos J, Maaroos H-I. Physical activity of depressed patients and their motivation to exercise: Nordic walking in family practice. Int J Rehabil Res. 2009;32(2):132–8.

    Article  PubMed  Google Scholar 

  28. 28.

    Duda JL, Williams GC, Ntoumanis N, Daley A, Eves FF, Mutrie N, et al. Effects of a standard provision versus an autonomy supportive exercise referral programme on physical activity, quality of life and well-being indicators: a cluster randomised controlled trial. Int J Behav Nutr Phys Act. 2014 Jan;11:10.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Littlecott HJ, Moore GF, Moore L, Murphy S. Psychosocial mediators of change in physical activity in the welsh national exercise referral scheme: secondary analysis of a randomised controlled trial. Int J Behav Nutr Phys Act. 2014 Jan;11:109.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Pomp S, Fleig L, Schwarzer R, Lippke S. Effects of a self-regulation intervention on exercise are moderated by depressive symptoms: a quasi-experimental study. Int J Clin. Health Psychol. 2013;13(1):1–8.

    Google Scholar 

  31. 31.

    Oeland A-M, Laessoe U, Olesen AV, Munk-Jørgensen P. Impact of exercise on patients with depression and anxiety. Nord J Psychiatry. 2010;64(3):210–7.

    Article  PubMed  Google Scholar 

  32. 32.

    Pentecost C, Farrand P, Greaves CJ, Taylor RS, Warren FC, Hillsdon M, et al. Combining behavioural activation with physical activity promotion for adults with depression: findings of a parallel-group pilot randomised controlled trial (BAcPAc). Trials. 2015;16:367.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Crone D, Johnston LH, Gidlow C, Henley C, DVB J. Uptake and participation in physical activity referral schemes in the UK: an investigation of patients referred with mental health problems Diane. Issues Ment Health Nurs. 2008;29(10):1088–97.

    Article  PubMed  Google Scholar 

  34. 34.

    Heckhausen H. Motivation and action. New York: Springer; 1991.

    Google Scholar 

  35. 35.

    Gollwitzer PM. Goal achievement: the role of intentions. Eur Rev Soc Psychol. 1993;4:141–85.

    Article  Google Scholar 

  36. 36.

    Hall P, Fong G. Temporal self-regulation theory: a model for individual health behavior. Health Psychol Rev. 2007;1:6–52.

    Article  Google Scholar 

  37. 37.

    Krämer LV, Helmes AW, Seelig H, Fuchs R, Bengel J. Correlates of reduced exercise behaviour in depression: the role of motivational and volitional deficits. Psychol Health [Internet]. 2014;29(10):1206–25.

    Article  PubMed  Google Scholar 

  38. 38.

    Krämer LV, Helmes AW, Bengel J. Understanding activity limitations in depression: integrating the concepts of motivation and volition from health psychology into clinical psychology. Eur Psychol. 2014;19(4):278–88.

    Article  Google Scholar 

  39. 39.

    Nitschke J, Mackiewicz K. Prefrontal and anterior cingulate contributions to volition in depression. In: Sebanz N, Prinz W, editors. Disorders of volition. Cambridge: MIT Press; 2006. p. 251–74.

    Google Scholar 

  40. 40.

    Baumeister H, Parker G. Meta-review of depressive subtyping models. J Affect Disord. 2012;139:126–40.

    Article  Google Scholar 

  41. 41.

    Beck A. Depression: causes and treatment. Philadelphia: University of Pennsylvania Press; 1972.

    Google Scholar 

  42. 42.

    Fortier MS, Duda JL, Guerin E, Teixeira PJ. Promoting physical activity: development and testing of self-determination theory-based interventions.(review). Int J Behav Nutr Phys Act. 2012;9:20.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Carron AV, Hausenblas HA, Mack D. Social influence and exercise: a meta-analysis. J Sport Exerc Psychol. 1996;18:1–16.

    Article  Google Scholar 

  44. 44.

    Rahman RJ, Thogersen-Ntoumani C, Thatcher J, Doust J. Changes in need satisfaction and motivation orientation as predictors of psychological and behavioural outcomes in exercise referral. Psychol Health [Internet]. 2011;26(11):1521–39.

    Article  Google Scholar 

  45. 45.

    Ryan R, Deci E. Self-determination theory and the facilitation of intrinsic motivation. Am Psychol [Internet]. 2000;55(1):68–78.

    CAS  Article  Google Scholar 

  46. 46.

    Ryan R, Deci E. Self-determination theory: basic psychological needs in motivation development and wellness. New York: Guilford Press; 2017.

    Google Scholar 

  47. 47.

    Barrett EM, Hussey J, Darker CD. Location and deprivation are important influencers of physical activity in primary care populations. Public Health [Internet]. 2016;136:80–6.

    CAS  Article  Google Scholar 

  48. 48.

    Craver C, James T. Mechanisms in science [Internet]. Stanford Encyclopedia of Philosophy. 2015 [cited 2017 Mar 15]. Available from: https://plato.stanford.edu/entries/science-mechanisms/

  49. 49.

    Coleman J. Foundations of social theory. Cambridge: Belknap, Harvard University Press; 1990.

    Google Scholar 

  50. 50.

    Ylikoski P. Thinking with the Coleman boat. Linkoping; 2016. (IAS Working Paper). Report No.: 1.

  51. 51.

    Hedstrom P, Ylikoski P. Causal mechanisms in the social sciences. Annu Rev Sociol. 2010;36:49–67.

    Article  Google Scholar 

  52. 52.

    Everson-Hock ES, Green MA, Goyder EC, Copeland RJ, Till SH, Heller B, et al. Reducing the impact of physical inactivity: Evidence to support the case for targeting people with chronic mental and physical conditions. J Public Health (Bangkok) [Internet]. 2015;37(2):1–9.

  53. 53.

    Robertson R, Robertson A, Jepson R, Maxwell M. Walking for depression or depressive symptoms: a systematic review and meta-analysis. Ment Health Phys Act. 2012;5(1):66–75.

    Article  Google Scholar 

  54. 54.

    Cooney G, Dawn K, Greig C, Lawlor D, RImer J, Waugh F, et al. Exercise for depression. Cochrane Libr. 2013;9:1–156.

  55. 55.

    Nettleton S, Green J. Thinking about changing mobility practices: how a social practice approach can help. Sociol Heal Ilness. 2014;36(2):239–51.

    Article  Google Scholar 

  56. 56.

    Crone D, Smith A, Gough B. 'I feel totally at one, totally alive and totally happy': a psycho-social explanation of the physical activity and mental health relationship. Health Educ Res. 2005;20(5)600–11.

  57. 57.

    Grant G, Machaczek K, Pollard N, Allmark P. Walking, sustainability and health: findings from a study of a walking for health group. Health Soc Care Community. 2017;25(3):1218–26.

    Article  PubMed  Google Scholar 

  58. 58.

    Firth J, Carney R, French P, Elliott R, Cotter J, Yung AR. Long-term maintenance and effects of exercise in early psychosis. Early Interv Psychiatry. 2016:1–8. https://doi.org/10.1111/eip.12365.

  59. 59.

    Thaler R, Sunstein C. Nudge: improving decisions about health, wealth and happiness. Harmondsworth: Penguin; 2009.

    Google Scholar 

  60. 60.

    Dishman RK, Sallis JF, Orenstein DR. The determinants of physical activity and exercise. Public Health Rep. 1984;100(2):158–71.

    Google Scholar 

  61. 61.

    Oldridge NB, Donner AP, Buck CW, Jones NL, Andrew GM, Parker JO, et al. Predictors of dropout from cardiac exercise rehabilitation. Am J Cardiol. 1983;51(1):70–4.

    CAS  Article  PubMed  Google Scholar 

  62. 62.

    Seefeldt V, Malina RM, Clark MA. Factors affecting levels of physical activity in adults. Sport Med. 2002;32(2):143–68.

    Article  Google Scholar 

  63. 63.

    Farrell L, Hollingsworth B, Propper C, Shields MA. The socioeconomic gradient in physical inactivity in England. C Work Pap Ser. 2013;13(311):1–33.

    Google Scholar 

  64. 64.

    Forsyth A, Deane FP, Williams P. Dietitians and Exercise Psychologists in Primary Care: Lifestyle Interventions for Patients with Depression and/or Anxiety. J Allied Health. 2009;38(2)e63–e68

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Acknowledgements

The authors thank the study participants for sharing their experiences and perceptions of a PA uptake amongst individuals with MMD. The consents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the UK Department of Health and the National Institute for Health Research.

Funding

We received funding from the National Institute for Health Research (Research Design Services Yorkshire and the Humber, RDS YH, Public Involvement in Grant Applications Funding Award), for running consultation exercises with individuals with experience of depression; two of whom co-author this publication. The RDS YH panel reviewed the application and provided feedback on the study design and collection of data.

Availability of data and materials

The datasets generated and analysed during the current study are not publicly available due confidentiality agreements with the participants.

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Contributions

The Methods section of the paper sets out seven stages: the authors’ involvement was as follows: KM, Stages 1–7; PA, 1–7; EG, 1,2,4,7; GG1 1,2,7; TR 1,2,6; AB 1,2, 6; DH 3,4 NP 1,2 SD 1–6; KC 1,2; GG2 1,2. KM and PA took the lead in writing the manuscript. All authors provided critical feedback and helped shape the evidence synthesis, research, analysis and manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Katarzyna Karolina Machaczek.

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Ethics approval and consent to participate

Ethical approval was granted by the Sheffield Hallam University Ethics Committee for the use of data from consultation exercises for research purposes. Written informed consent was obtained from participants for the use of evidence from the consultation exercises.

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Not applicable.

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The authors declare that they have no competing interests.

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Appendices

Appendix 1

Table 4 Barriers and enablers to implementation of the intervention (the system and organisational level) and to the uptake of PA (individual-related levels)

Appendix 2

Table 5 Modifiers of change

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Machaczek, K.K., Allmark, P., Goyder, E. et al. A scoping study of interventions to increase the uptake of physical activity (PA) amongst individuals with mild-to-moderate depression (MMD). BMC Public Health 18, 392 (2018). https://doi.org/10.1186/s12889-018-5270-7

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Keywords

  • Physical Activity
  • Consultation Exercise
  • Exercise Referral Schemes
  • Scoping Review
  • National Quality Assurance Framework