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Making health habitual: The psychology of 'habit-formation' and general practice

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Abstract

The Secretary of State recently proposed that the NHS: ‘... take every opportunity to prevent poor health and promote healthy living by making the most of healthcare professionals’ contact with individual patients.’ 1 Patients trust health professionals as a source of advice on ‘lifestyle’ (that is, behaviour) change, and brief opportunistic advice can be effective.2 However, many health professionals shy away from giving advice on modifying behaviour because they find traditional behaviour change strategies time-consuming to explain and difficult for the patient to implement.2 Furthermore, even when patients successfully initiate the recommended changes, the gains are often transient3 because few of the traditional behaviour change strategies have built-in mechanisms for maintenance. Brief advice is usually based on advising patients on what to change and why (for example, reducing saturated fat intake to reduce the risk of heart attack). Psychologically, such advice is designed to engage conscious deliberative motivational processes, which Kahneman terms ‘slow’ or ‘System 2’ processes.4 However, the effects are typically short-lived because motivation and attention wane. Brief advice on how to change, engaging automatic (‘System 1’) processes, may offer a valuable alternative with potential for long-term impact. Opportunistic health behaviour advice must be easy for health professionals to give and easy for patients to implement to fit into routine health care. We propose that simple advice on how to make healthy actions into habits — externally-triggered automatic responses to frequently encountered contexts — offers a useful option in the behaviour change toolkit. Advice for creating habits is easy for clinicians to deliver and easy for patients to implement: repeat a chosen behaviour in the same context, until it becomes automatic and effortless. While often used as a synonym for frequent or customary behaviour in everyday parlance, within psychology, ‘habits’ are defined as actions that …
Making health habitual: the psychology of ‘habit-formation’ and general practice
Benjamin Gardner*, Phillippa Lally*, Jane Wardle
All authors: Health Behaviour Research Centre, Department of Epidemiology and Public
Health, University College London, Gower Street, London, WC1E 6BT, UK.
Tel: 020 7679 1720; Fax: 020 7679 8354
Benjamin Gardner, Lecturer in Health Psychology (b.gardnersood@ucl.ac.uk)
Phillippa Lally, ESRC Postdoctoral Research Fellow (p.lally@ucl.ac.uk)
Jane Wardle, Professor of Clinical Psychology (j.wardle@ucl.ac.uk)
* Benjamin Gardner and Phillippa Lally made an equal contribution to this paper and are
ordered alphabetically.
Correspondence to Benjamin Gardner: b.gardnersood@ucl.ac.uk
Reference for citation:
Gardner, B., Lally, P., & Wardle, J. (2012) Making health habitual: the psychology of ‘habit-
formation’ and general practice. British Journal of General Practice, 62, 664-666.
Acknowledgement:
We thank Professor Wendy Wood for helpful comments on an earlier draft of this
manuscript.
Making health habitual
Abstract
Health professionals are being asked to ‘make every contact count’ by advising patients on
behaviour change. Yet, brief advice based on what and why to change behaviour typically
yields only short-term benefits. In this paper, we suggest that health professionals consider
giving advice on how to achieve long-term change, based on the psychology of habit-
formation. Habits are actions performed automatically with little forethought or effort, and
which persist over time. Habits form through repeated performance of an action in the same
setting. Brief advice on forming healthy habits is easy for clinicians to deliver, and easy for
patients to implement.
Making health habitual
The Secretary of State recently proposed that the NHS ‘take every opportunity to prevent
poor health and promote healthy living by making the most of healthcare professionals’
contact with individual patients’ 1. Patients trust health professionals as a source of advice on
‘lifestyle’ (i.e. behaviour) change, and brief opportunistic advice can be effective 2.
However, many health professionals shy away from giving advice on modifying behaviour
because they find traditional behaviour change strategies time-consuming to explain and
difficult for the patient to implement 2. Furthermore, even when patients successfully initiate
the recommended changes, the gains are often transient 3because few of the traditional
behaviour change strategies have built-in mechanisms for maintenance.
Brief advice is usually based on advising patients on what and why to change (e.g.
reducing saturated fat intake to reduce the risk of heart attack). Psychologically, such advice
is designed to engage conscious deliberative motivational processes, which Kahneman terms
‘slow’ or ‘System 2’ processes 4. However, the effects are typically short-lived because
motivation and attention wane. Brief advice on how to change, engaging automatic (‘System
1’) processes, might offer a valuable alternative with potential for long-term impact.
Opportunistic health behaviour advice must be easy for health professionals to give
and easy for patients to implement to fit into routine health care. We propose that simple
advice on how to make healthy actions into habits externally-triggered automatic responses
to frequently encountered contexts offers a useful option in the behaviour change toolkit.
Advice for creating habits is easy for clinicians to deliver and easy for patients to implement:
repeat a chosen behaviour in the same context, until it becomes automatic and effortless.
Habit formation and health
While often used as a synonym for frequent or customary behaviour in everyday parlance,
within psychology, ‘habits’ are defined as actions that are triggered automatically in response
to contextual cues that have been associated with their performance5;6: for example,
automatically washing hands (action) after using the toilet (contextual cue), or putting on a
seatbelt (action) after getting into the car (contextual cue). Decades of psychological research
consistently show that mere repetition of a simple action in a consistent context leads,
through associative learning, to the action being activated upon subsequent exposure to those
contextual cues (i.e. habitually) 7-9. Once initiation of the action is ‘transferred’ to external
cues, dependence on conscious attention or motivational processes is reduced 10. Habits are
therefore likely to persist even after conscious motivation or interest dissipate 11. Habits are
also cognitively efficient, because the automation of common actions frees mental resources
for other tasks.
A growing literature demonstrates the relevance of habit-formation principles to
health 12;13. Participants in one study repeated a self-chosen health-promoting behaviour (e.g.
eat fruit, go for a walk) in response to a single, once-daily cue in their own environment (e.g.
after breakfast). Daily ratings of the subjective automaticity of the behaviour (i.e. habit
strength) showed an asymptotic increase, with an initial acceleration that slowed to a plateau
after an average of 66 days 9. Missing the occasional opportunity to perform the behaviour
did not seriously impair the habit formation process: automaticity gains soon resumed after
one missed performance9. Automaticity strength peaked more quickly for simple actions
(e.g. drinking water) than for more elaborate routines (e.g. doing 50 sit-ups).
Habit-formation advice, paired with a ‘small changes’ approach, has been tested as a
behaviour change strategy 14;15. In one study, volunteers wanting to lose weight were
randomised to a habit-based intervention, based on a brief leaflet listing ten simple diet and
activity behaviours and encouraging context-dependent repetition, or a no-treatment waiting
list control. After 8 weeks, the intervention group had lost 2kg compared with 0.4kg in the
control group. At 32 weeks, completers in the intervention group had lost an average of
3.8kg 14. Qualitative interview data indicated that automaticity had developed: behaviours
became ‘second nature’,‘worming their way into your brain’ so that participants ‘felt quite
strange’ if they did not do them 10. Actions that were initially difficult to stick to became
easier to maintain. A randomised controlled trial is underway to test the efficacy of this
intervention where delivered in a primary care setting to a larger sample, over a 24-month
follow-up period 16. Nonetheless, these early results indicate that habit-forming processes
transfer to the everyday environment, and suggest that habit-formation advice offers an
innovative technique for promoting long-term behaviour change 13.
Making healthy habits
We suggest that professionals could consider providing habit-formation advice as a way to
promote long-term behaviour change among patients. Habit-formation advice is ultimately
simple repeat an action consistently in the same context 12. The habit formation attempt
begins at the ‘initiation phase’, during which the new behaviour and the context in which it
will be done are selected. Automaticity develops in the subsequent ‘learning phase’, during
which the behaviour is repeated in the chosen context to strengthen the context-behaviour
association (here a simple ticksheet for self-monitoring performance may help; see Figure 1).
Habit-formation culminates in the ‘stability phase’, at which the habit has formed and its
strength has plateaued, so that it persists over time with minimal effort or deliberation.
Initiation requires the patient to be sufficiently motivated to begin a habit-formation
attempt, but many patients would like to eat healthier diets or take more exercise, for
example, if doing so were easy. Patients must choose an appropriate context in which to
perform the action. The ‘context’ can be any cue, e.g. an event (‘when I get to work’) or a
time of day (‘after breakfast’), that is sufficiently salient in daily life that it is encountered
and detected frequently and consistently. A cue located within an existing daily routine (e.g.
‘when I go on my lunch break’) provides a convenient and stable starting point 10.
Keeping going during the learning phase is crucial. The idea of repeating a single
specific action (e.g. eating a banana) in a consistent context (e.g. with cereal at breakfast) is
very different from typical advice given to people trying to take up new healthy behaviours,
which often emphasises variation in behaviours and settings to maintain interest (e.g. trying
different fruits with or between different meals). Variation may stave off boredom, but is
effortful and depends on maintaining motivation, and is incompatible with development of
automaticity 6.
Patients should choose the target behaviour themselves: progress towards a self-
determined behavioural goal supports patients’ sense of autonomy and sustains interest 17,
and there is evidence that a behaviour change selected on the basis of its personal value,
rather than to satisfy external demands such as physicians’ recommendations, is an easier
habit target 18. Patients need to select a new behaviour (e.g. eat an apple) rather than give up
an existing behaviour (e.g. do not eat fried snacks) because it is not possible to form a habit
for not doing something. The automaticity of habit means that breaking existing habits
requires different and altogether more effortful strategies than making new habits 12.
Patients should be encouraged to aim for small and manageable behaviour changes,
because failure can be discouraging. A sedentary person, for example, would be more
appropriately advised to walk one or two stops more before getting on the bus than to walk
the entire route at least for their first habit goal. Small changes can benefit health: slight
adjustments to dietary intake can aid long-term weight management 19, and small amounts of
light physical activity are more beneficial than none 20. Moreover, simpler actions become
habitual more quickly 9. Additionally, behaviour change achievements, however small, can
increase self-efficacy, which can in turn stimulate pursuit of further changes 21. Forming one
‘small’ healthy habit may thereby increase self-confidence for working towards other health-
promoting habits.
Unrealistic expectations of the duration of the habit formation process can lead the
patient to give up during the learning phase. Some patients may have heard that habits take
21 days to form. This myth appears to have originated from anecdotal evidence of patients
who had received plastic surgery treatment and typically adjusted psychologically to their
new appearance within 21 days 22. More relevant research found that automaticity plateaued
on average around 66 days after the first daily performance 9, although there was
considerable variation across participants and behaviours. It may therefore be helpful to tell
patients to expect habit formation (based on daily repetition) to take around 10 weeks. Our
experience is that people are reassured to learn that doing the behaviour gets progressively
easier; so they only have to maintain their motivation until the habit forms. Working
effortfully on a new behaviour for two to three months may be an attractive offer if it has a
chance of making the behaviour become ‘second nature’.
Conclusion
Psychological theory and evidence around habit-formation generates recommendations for
simple and sustainable behaviour change advice. We acknowledge that health professionals
do not always find it appropriate to offer lifestyle counselling to patients: some patients can
become annoyed when advised to change their behaviour, and this reaction can threaten
patients’ trust in and satisfaction with the doctor-patient relationship2. However, in settings
where professionals feel able to offer behaviour advice, we suggest that they consider
providing guidance on habit-formation. Habit-formation advice can be delivered briefly, it is
simple for the patient to implement, and it has realistic potential for long-term impact. It
offers health professionals a useful tool for incorporating evidence-based health promotion
into encounters with patients. A sample tool for health professionals to use with patients to
encourage habit formation is provided in Figure 1.
References
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Figure 1: A tool for patients
Make a new healthy habit
1. Decide on a goal that you would like to achieve for your health
2. Choose a simple action that will get you towards your goal which you can do on a
daily basis
3. Plan when and where you will do your chosen action. Be consistent: choose a time
and place that you encounter every day of the week.
4. Every time you encounter that time and place, do the action.
5. It will get easier with time, and within 10 weeks you should find you are doing it
automatically without even having to think about it.
6. Congratulations, you’ve made a healthy habit!
My goal (e.g. ‘to eat more fruit and vegetables’)
___________________________________________________________________________
My plan (e.g. ‘after I have lunch at home I will have a piece of fruit’)
(When and where) ___________________________ I will ___________________________
Some people find it helpful to keep a record while they are forming a new habit. This daily
tick-sheet can be used until your new habit becomes automatic. You can rate how automatic
it feels at the end of each week, to watch it getting easier.
Week
1Week
2Week
3Week
4Week
5Week
6Week
7Week
8Week
9Week
10
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Done on 5 days
or more?
How automatic
does it feel?
Rate from
1 (not at all) to
10 (completely)
... Berdasarkan penelitian yang dilakukan oleh Laily P et.al (2010) dalam Gardner B, et.al (2012) mendapatkan hasil bahwa timbulnya rasa kebiasaan untuk berperilaku seseorang untuk melakukan kegiatan muncul rata-rata setalah hari ke-66 setelah dilakukannya kegiatan tersebut. Penelitian ini sejalan dengan penelitian Gardner B, et.al (2012) yang menyatakan bahwa perilaku kebiasaan baru akan terbentuk jika hal tersebut terus dilakukan setiap hari. ...
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This systematic review evaluates the impact of dedicated mobile applications on habit formation. The review adheres to PRISMA guidelines, focusing on randomized controlled trials (RCTs) published between 2010 and 2024, in English and Russian, that assess the effectiveness of mobile apps specifically designed to support habit formation. Three studies met the inclusion criteria, each using different app-based interventions aimed at fostering habits such as sleep hygiene and walking. Key findings indicate varied effectiveness: one study showed significant improvements in habit strength, while another found no difference between groups, and a third demonstrated the importance of event-based cues in promoting habit formation. The review highlights the gap in robust evidence on the role of mobile apps in habit formation, with recommendations for further research to assess the long-term impact and explore other habit categories. Despite promising trends, current evidence remains limited and inconsistent, requiring further high-quality trials.
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Objective The population of ethnically diverse older adults (OAs) is increasing in the UK; this group faces complex health challenges that are exacerbated by language difficulties, socioeconomic status and acculturation experiences. Moreover, this diverse group is the least active and sedentary subgroup within the wider population, which raises a major concern for their health and highlights the need for effective behaviour change interventions to motivate this group to be less sedentary. Therefore, this study aims to explore the acceptability of a 12-week intervention to reduce sedentary behaviour (SB) for ethnically diverse sedentary OAs. Design The study employed a qualitative approach to assess the acceptability of the 12-week single-arm intervention for reducing SB. Setting The study participants were recruited on a rolling basis from January to May 2024. The recruitment process was conducted through social community organisations and local religious groups in Swansea that provided leisure, sports and recreational activities for ethnically diverse OAs. Participants The target population for this study was ethnically diverse OAs aged ≥65 years (including women and men) among (n=20) OAs using in-depth interviews. Intervention The intervention consisted of a 40–60 minute personalised one-to-one in-person health coaching session, a wearable activity tracker to remind participants to take breaks from prolonged sitting time, a pamphlet and weekly reminder messages via a mobile phone. Primary outcome To assess the acceptability of the intervention. Results Reflexive thematic analysis was performed using a deductive approach by integrating four predetermined MRC framework themes. Four overarching themes were included in our analysis: (1) acceptability, (2) usability, (3) functionality and (4) recruitment and retention. OAs were satisfied with the intervention and found it effective and acceptable. The multicomponent intervention provided users with strategies to achieve the goal of reducing their sitting time and provided them with opportunities to be active and independent. In addition, there were personal (eg, health) and social (eg, family) factors that influenced their decision to participate in the intervention. Conclusion The findings of this study support the acceptability of the intervention with an ethnically diverse group of OAs. Initial evidence also suggests that the intervention has the potential to increase activity and minimise sitting time in ethnically diverse OAs and therefore will inform a future effectiveness trial. The inclusion of an ethnically diverse population in this study has helped us to understand the needs and challenges of these groups to identify how to design culturally sensitive interventions that are tailored according to their needs. These insights will be incorporated into the planned effectiveness trial.
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Background/Objectives: Metabolic syndrome (MetS) is a prevalent health condition characterized by central obesity, insulin resistance, hypertension, and dyslipidemia, increasing the risk of cardiovascular disease and type 2 diabetes. Lifestyle interventions, particularly plant-based nutrition and exercise, are essential for managing MetS. While both strategies are well-documented independently, their synergistic effects remain less explored. This narrative review integrates findings from both domains to evaluate their combined impact on metabolic syndrome. The review examines the individual and combined impacts of plant-based nutrition and exercise on MetS-related metabolic dysfunction. Methods: A comprehensive review of 114 peer-reviewed studies was conducted to assess the role of plant-based diets and structured physical activity in improving insulin sensitivity, lipid profiles, inflammation, and weight management. Studies investigating the mechanisms through which dietary components and exercise modalities influence metabolic health were analyzed, along with behavioral and psychological factors affecting long-term adherence. Results: Plant-based diets, particularly those high in fiber, polyphenols, and healthy fats, improve glucose metabolism, reduce inflammation, and enhance cardiovascular health. Exercise complements these benefits by increasing insulin sensitivity, promoting fat oxidation, and improving lipid metabolism. When combined, plant-based nutrition and exercise provide superior metabolic outcomes, including greater reductions in visceral adiposity, improved endothelial function, and enhanced glycemic control. Conclusions: Plant-based nutrition and structured exercise are effective strategies for managing MetS. Their synergistic effects highlight the importance of integrated lifestyle interventions for long-term metabolic health.
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Objective: This study examined whether matching implementation intentions to people's regulatory orientation affects the effectiveness of changing unhealthy snacking habits. Design: Participants' regulatory orientation was either measured (as a chronic trait) or manipulated (as a situational state), and participants were randomly assigned to implementation intention conditions to eat more healthy snacks or avoid eating unhealthy ones. Main outcome measures: A self-reported online food diary of healthy and unhealthy snacks over a 2-day period. Results: Participants with weak unhealthy snacking habits consumed more healthy snacks when forming any type of implementation intentions (regardless of match or mismatch with their regulatory orientation), while participants with strong unhealthy snacking habits consumed more healthy snacks only when forming implementation intentions that matched their regulatory orientations. Conclusion: RESULTS suggest that implementation intentions that match regulatory orientation heighten motivation intensity and put snacking under intentional control for people with strong unhealthy snacking habits.
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Health-compromising behaviors such as physical inactivity and poor dietary habits are difficult to change. Most social-cognitive theories assume that an individual's intention to change is the best direct predictor of actual change. But people often do not behave in accordance with their intentions. This discrepancy between intention and behavior is due to several reasons. For example, unforeseen barriers could emerge, or people might give in to temptations. Therefore, intention needs to be supplemented by other, more proximal factors that might compromise or facilitate the translation of intentions into action. Some of these postintentional factors have been identified, such as perceived self-efficacy and strategic planning. They help to bridge the intention-behavior gap. The Health Action Process Approach (HAPA) suggests a distinction between (a) preintentional motivation processes that lead to a behavioral intention, and (b) postintentional volition processes that lead to the actual health behavior. In this article, seven studies are reported that examine the role of volitional mediators in the initiation and adherence to five health behaviors: physical exercise, breast self-examination, seat belt use, dietary behaviors, and dental flossing. The general aim is to examine the applicability of the HAPA and its universality by replicating it across different health behaviors, based on various measures, time spans, and samples from different countries.
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Background: Primary care is the first port of call for advice about weight control. There is hence a need for simple, effective interventions that can be delivered without specialist skills. We have developed such an intervention; the 10 Top Tips (10TT). This intervention was effective with respect to weight loss in a volunteer population, but has yet to be tested in primary care. The aim of this trial is therefore to test the effectiveness of the 10TT intervention in primary care, incorporating clinical outcomes and health economic analyses. Methods/design: The trial is a two-arm, individually-randomised, controlled trial in obese (BMI ≥ 30) adults (n = 520) in primary care, comparing weight loss in patients receiving the 10TT intervention with weight loss in a control group of patients receiving usual care. The intervention is based on habit formation theory, using written materials to take people through a set of simple weight control behaviours with strategies to make them habitual; an approach that could make it more successful than others in establishing long-term behaviour change. Patients will be recruited from 14 General Practices across England. Randomisation will be through telephoning a central randomisation service using a computer-generated list of random numbers. Patients are followed up at 3, 6, 12, 18 and 24 months. The primary outcome is weight loss at 3 months, with assessment by a health professional who is blind to group allocation. Other follow-ups will be un-blinded. We will examine whether weight loss is maintained up to 24 months. We will also assess changes in the automaticity of the 10TT target behaviours and improvement in clinical markers for potential co-morbidities. Finally, we will undertake a full economic evaluation to establish cost-effectiveness in the NHS context. Discussion: If proven to be effective when delivered through primary care, 10TT could make a highly cost-effective contribution to improvements in population health. Trial registration: ISRCTN16347068.
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What are the psychological mechanisms that trigger habits in daily life? Two studies reveal that strong habits are influenced by context cues associated with past performance (e.g., locations) but are relatively unaffected by current goals. Specifically, performance contexts—but not goals—automatically triggered strongly habitual behaviors in memory (Experiment 1) and triggered overt habit performance (Experiment 2). Nonetheless, habits sometimes appear to be linked to goals because people self-perceive their habits to be guided by goals. Furthermore, habits of moderate strength are automatically influenced by goals, yielding a curvilinear, U-shaped relation between habit strength and actual goal influence. Thus, research that taps self-perceptions or moderately strong habits may find habits to be linked to goals.Highlights► Habits are automatically brought to mind by perception of performance environments. ► When a habit is brought to mind, people tend to act on it. ► Habit activation and performance are not readily influenced by people's goals. ► People believe, however, that their habits are strongly motivated by goals. ► Habits of moderate strength also are guided by goals.
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Habit formation is thought to aid maintenance of physical activity, but little research is available into determinants of habit strength aside from repeated performance. Previous work has shown that intrinsically motivated physical activity, underpinned by inherent satisfaction derived from activity, is more likely to be sustained. We explored whether this might reflect a tendency for self-determined activity to become more strongly habitual. A sample of 192 adults aged 18-30 completed measures of motivational regulation, intention, behaviour, and habit strength. Results showed that self-determined regulation interacted with past behaviour in predicting habit strength: prior action was more predictive of habit strength among more autonomously motivated participants. There was an unexpected direct effect of self-determined regulation on habit strength, independently of past behaviour. Findings offer possible directions for future habit formation work.
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Early studies of intuitive judgment and decision making conducted with the late Amos Tversky are reviewed in the context of two related concepts: an analysis of accessibil-ity, the ease with which thoughts come to mind; a distinc-tion between effortless intuition and deliberate reasoning. Intuitive thoughts, like percepts, are highly accessible. De-terminants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the charac-teristic biases that result from the substitution of nonexten-sional for extensional attributes. Variations in the accessi-bility of rules explain the occasional corrections of intuitive judgments. The study of biases is compatible with a view of intuitive thinking and decision making as generally skilled and successful.
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Habits are automatic behavioural responses to environmental cues, thought to develop through repetition of behaviour in consistent contexts. When habit is strong, deliberate intentions have been shown to have a reduced influence on behaviour. The habit concept may provide a mechanism for establishing new behaviours, and so healthy habit formation is a desired outcome for many interventions. Habits also however represent a potential challenge for changing ingrained unhealthy behaviours, which may be resistant to motivational shifts. This review aims to provide intervention developers with tools to help establish target behaviours as habits based on theoretical and empirical insights. We discuss evidence-based techniques for forming new healthy habits and breaking existing unhealthy habits. To promote habit-formation we focus on strategies to initiate a new behaviour, support context-dependent repetition of this behaviour, and facilitate the development of automaticity. We discuss techniques for disrupting existing unwanted habits, which relate to restructuring the personal environment and enabling alternative responses to situational cues.