scholarly journals Habit Formation and Behavior Change

Author(s):  
Benjamin Gardner ◽  
Amanda L. Rebar

Many of the most pressing societal issues—e.g., health, illness, and associated costs; climate change—are rooted in behavior. Even small changes to everyday behaviors can bring considerable benefits. Many people successfully adopt new behaviors but fail to maintain them over time. This problem has inspired interest in habit. Within psychology, habitual behaviors are defined as actions triggered automatically when people encounter situations in which they have consistently done them in the past. Repeating behavior in the same context reinforces mental associations between the context and behavior. Habit is said to have formed when exposure to the context non-consciously activates the association, which in turn elicits an urge to act, influencing behavior with minimal conscious forethought. As an initially goal-directed behavior becomes habitual, control over behavior is transferred from a reasoned, reflective processing system, which elicits behavior relatively slowly based on conscious motivation, to an impulsive system, which elicits behavior rapidly and efficiently, based on learned context-behavior associations. Habitual behaviors thus become detached from conscious motivational processes. Spurred by development of self-report habit measures, studies have modeled the relationship between behavioral repetition and the strengthening of habit, showing that habit is characterized by initially rapid growth, which decelerates until a plateau is reached. Theories propose that habit has two effects on behavior in the associated context: habit will prompt frequent performance, and will override motivational tendencies in doing so, unless self-control is particularly strong in that moment. People may therefore continue to perform a habitual action even when they lack motivation. These characteristics have generated interest in the potential for habit to support long-term adoption of new behaviors. People often fail to maintain behavior changes because they lose motivation, but if people were to form habits for new behaviors, they should in theory continue to perform them despite losing motivation. This has prompted calls for interventions to move beyond merely promoting new behaviors, toward advocating context-dependent habitual performances. Some have also argued that habit formation may be fruitful for stopping unwanted behaviors, because new, “good” habits can be directly substituted for existing “bad” habits. Realistically, habit formation is not a viable standalone behavior change technique, as it requires that people first adopt a new behavior, which through repetition will become habitual. The promotion of context-dependent repetition should complement techniques that reinforce the motivation and action control required for behavioral initiation and maintenance prior to habit forming. Real-world behavior change interventions based on these principles have been found to be acceptable and appealing, and show promise for changing behavior, though few have used long-term follow-up periods. This entry highlights leading work in the application of habit formation to behavior change interventions, drawing on the most methodologically and conceptually rigorous empirical research available. Most of the development and application of habit theory to real-world social contexts has been undertaken in health and pro-environmental domains. This entry thus focuses most heavily on these domains, but the principles outlined are thought to be applicable across behaviors and settings.

2015 ◽  
Vol 27 (3) ◽  
pp. 93-109 ◽  
Author(s):  
Nicole Cooper ◽  
Steve Tompson ◽  
Matthew Brook O’Donnell ◽  
B. Falk Emily

Abstract. In this study, we combined approaches from media psychology and neuroscience to ask whether brain activity in response to online antismoking messages can predict smoking behavior change. In particular, we examined activity in subregions of the medial prefrontal cortex linked to self- and value-related processing, to test whether these neurocognitive processes play a role in message-consistent behavior change. We observed significant relationships between activity in both brain regions of interest and behavior change (such that higher activity predicted a larger reduction in smoking). Furthermore, activity in these brain regions predicted variance independent of traditional, theory-driven self-report metrics such as intention, self-efficacy, and risk perceptions. We propose that valuation is an additional cognitive process that should be investigated further as we search for a mechanistic explanation of the relationship between brain activity and media effects relevant to health behavior change.


2006 ◽  
Vol 12 (2) ◽  
pp. 224-235 ◽  
Author(s):  
STEVEN W. ANDERSON ◽  
JOSEPH BARRASH ◽  
ANTOINE BECHARA ◽  
DANIEL TRANEL

The behavioral syndrome resulting from damage to the ventromedial prefrontal (VM) region presents major challenges for clinical assessment and management, stemming from the absence of reliable neurologic or psychometric markers, coupled with often debilitating impairments of decision-making and behavior regulation. Damage to this region disrupts neural circuitry critical for emotion, which in turn may contribute to impairments in real-world competencies. Here we present findings from patients with focal lesions in the VM region acquired either in childhood or adulthood, and show that there is a relationship between emotional dysfunction and impairments in real-world behavioral competencies. Emotion was rated by participants' relatives on dimensions including frustration tolerance, lability, anxiety, and blunted affect. Real-world competencies were rated by the relatives on dimensions including judgment, planning, and initiation, and were evaluated by clinician ratings in areas including social, financial, and occupational function. VM damage resulted in severe disruption of emotion, and this emotional dysfunction accounted for a significant portion of impaired real-world competencies. The long-term impairments associated with childhood-onset lesions were at least as severe as those resulting from adult-onset damage. Greater focus on the contribution of emotional dysfunction to the real-world competencies of patients with damage in the VM region may sharpen their neuropsychological assessment and facilitate rehabilitation efforts. (JINS, 2006, 12, 224–235.)


2021 ◽  
Vol 13 (21) ◽  
pp. 11991
Author(s):  
Jan Dirk Fijnheer ◽  
Herre van Oostendorp ◽  
Geert-Jan Giezeman ◽  
Remco C. Veltkamp

This paper presents the results of a game study, comparing Powersaver Game including a competition feature versus the same game excluding a competition feature with respect to energy conservation in the household. In a pretest–posttest design, we tested whether change in attitude, knowledge and behavior with respect to energy conservation in the household was different for participants playing Powersaver Game with or without competition. All energy conservation activities that the application provides (e.g., washing clothes at low temperatures) take place in the real world and feedback is based on real-time energy consumption. This so-called reality-enhanced game approach aims to optimize the transfer between the game world and the real world. Household energy consumption changed significantly and positively in the long term due to competition. A significant difference of 8% in energy consumption between both conditions after the intervention was detected. Besides energy conservation, no further differences were detected between conditions. The chain of events, that an increase in knowledge leads to attitude change, which in turn results in behavior change in the long term is confirmed by means of a path analysis. We conclude that Powersaver Game is effective in the transfer of energy conservation knowledge, which leads to energy saving behavior in the long term while competition additionally contributes to more change in behavior.


2016 ◽  
pp. 1-30
Author(s):  
Shalin Hai-Jew

Vengeance. Payback. Retribution. Just deserts. Evening up the score. Punishment. If there is an ever-replicating and recurring Internet meme, it is one of revenge. Intimate photos are shared online post-relationship and end up picked up by for-profit pornographic websites. Privy information is leaked into private (narrow-cast) or semi-public or public spaces (broadcast) with massive amplifications of messages into the public sphere. Violent attacks and beat-downs are videotaped and shared on video sharing sites. Flash or cyber mobs are brought together to clean-out stores and to exact vengeance on particular businesses. Information and Communication Technology (ICT), with its nexus of pseudo-anonymity, fast dissemination of information, long-term persistence of data, and mass reach, provides multiple affordances for the exacting of vengeance. The popular culture of anonymous hacktivism and cyber-vigilantism further contribute to the sense of the Internet as an ungoverned and extralegal place. Finally, a general imprudence has meant the easy activation of Internet mobs and individuals to harm-causing rumor-sharing and behavior against others—sparked by doubtful claims or loose storytelling. ICT has enabled the spillover of real-world antipathies and dark emotions into virtual spaces, which then slosh back into the real world. This chapter examines the research in the area of vengeance and how such very human impetuses manifest online. Further, this chapter examines the design features of various ICT platforms and socio-technical spaces that may support vengeance-based communications and actions and proposes ways to mitigate some of these dark affordances.


2021 ◽  
Author(s):  
Benjamin T Kaveladze ◽  
Sean D Young ◽  
Stephen M Schueller

UNSTRUCTURED Digital health behavior change interventions (DHBCIs) are popular and widely-accessible tools for helping people to pursue behavior change goals. However, their effectiveness tends to be low in real-world settings. Drawing from Nassim Nicholas Taleb’s concept of antifragility, we introduce antifragile behavior change, a strategy that leverages user-specific characteristics to make the behavior change process more efficient. Next, we propose two principles for designing DHBCIs to support antifragile behavior change: first, DHBCIs should provide personalized guidance that accounts for user-specific circumstances and goals; second, DHBCIs should prioritize user agency by refraining from using nudges that might manipulate user decision-making. We hope this paper will encourage researchers and product developers to reconsider DHBCI design through the lens of antifragility. Future work can examine if DHBCIs that are consistent with our principles of designing for antifragile behavior change lead to better mental health outcomes than other DHBCIs.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
M. Kebbe ◽  
A. Farmer ◽  
M. P. Dyson ◽  
S. D. Scott ◽  
T. L. F. McHugh ◽  
...  

Abstract Background Adolescents and providers can benefit from practical tools targeting lifestyle modification for obesity prevention and management. We created Conversation Cards for Adolescents© (CCAs), a patient-centered communication and behavior change tool for adolescents and providers to use in clinical practice. The purpose of our study is to (i) assess the feasibility of CCAs in a real-world, practice setting to inform full-scale trial procedures, (ii) assess user experiences of CCAs, and (iii) determine the preliminary effect of CCAs on changing behavioral and affective-cognitive outcomes among adolescents. Methods Starting in early 2019, this prospective study is a nested mixed-methods, theory-driven, and pragmatic pilot randomized controlled trial with a goal to enroll 50 adolescents (13–17 years old) and 9 physicians practicing at the Northeast Community Health Centre in Edmonton, Alberta, Canada. Adolescents will collaboratively set one S.M.A.R.T. (specific, measurable, attainable, realistic, timely) goal with their physician to implement over a 3-week period; however, only those randomized to the experimental group will use CCAs to inform their goal. Outcome assessments at baseline and follow-up (3 weeks post-baseline) will include behavioral, affective-cognitive, and process-related outcomes. Discussion In examining the feasibility, user experiences, and preliminary effect of CCAs, our study will add contributions to the obesity literature on lifestyle modifications among adolescents in a real-world, practice setting as well as inform the scalability of our approach for a full-scale effectiveness randomized controlled trial on behavior change. Trial registration ClinicalTrials.gov Identifier: NCT03821896.


2020 ◽  
Author(s):  
Rikke Aune Asbjørnsen ◽  
Jobke Wentzel ◽  
Mirjam Lien Smedsrød ◽  
Jøran Hjelmesæth ◽  
Matthew M Clark ◽  
...  

BACKGROUND An increasing number of eHealth interventions aim to support healthy behaviors that facilitate weight loss. However, there is limited evidence of the effectiveness of the interventions and little focus on weight loss maintenance. Knowledge about end user values and needs is essential to create meaningful and effective eHealth interventions, and to identify persuasive system design (PSD) principles and behavior change techniques (BCTs) that may contribute to the behavior change required for successful long-term weight loss maintenance. OBJECTIVE This study aimed to provide insight into the design of eHealth interventions supporting behavior change for long-term weight maintenance. The study sought to identify the values and needs of people with obesity aiming to maintain weight after weight loss, and to identify PSD principles, BCTs, and design requirements that potentially enable an eHealth intervention to meet end user values and needs. METHODS This study presents the concept of integrating PSD principles and BCTs into the design process of eHealth interventions to meet user values and needs. In this study, individual interviews and focus groups were conducted with people with obesity (n=23) and other key stakeholders (n=27) to explore end user values and needs related to weight loss maintenance. Design thinking methods were applied during the focus group sessions to identify design elements and to explore how eHealth solutions can support the needs to achieve sustainable weight loss maintenance. The PSD model and behavior change taxonomy by Michie were used to identify PSD principles and BCT clusters to meet end user values and needs. RESULTS A total of 8 key end user values were identified, reflecting user needs for weight loss maintenance support: <i>self-management</i>, <i>personalized care</i>, <i>autonomy</i>, <i>feel supported</i>, <i>positive self-image</i>, <i>motivation</i>, <i>happiness</i>, and <i>health</i>. <i>Goals and planning</i>, <i>feedback and monitoring</i>, <i>repetition and substitution</i>, <i>shaping knowledge</i>, <i>social support</i>, <i>identity</i>, and <i>self-belief</i> were some of the BCT clusters identified to address these concepts, together with PSD principles such as <i>personalization</i>, <i>tailoring</i>, <i>self-monitoring</i>, <i>praise</i>, and <i>suggestions</i>. CONCLUSIONS The process of translating end user values and needs into design elements or features of eHealth technologies is an important part of the design process. To our knowledge, this is the first study to explore how PSD principles and BCTs can be integrated when designing eHealth self-management interventions for long-term weight loss maintenance. End users and other key stakeholders highlighted important factors to be considered in the design of eHealth interventions supporting sustained behavior change. The PSD principles and BCTs identified provide insights and suggestions about design elements and features to include for supporting weight loss maintenance. The findings indicate that a combination of BCTs and PSD principles may be needed in evidence-based eHealth interventions to stimulate motivation and adherence to support healthy behaviors and sustained weight loss maintenance. CLINICALTRIAL ClinicalTrials.gov NCT04537988; https://clinicaltrials.gov/ct2/show/NCT04537988


2019 ◽  
Author(s):  
Rikke Aune Asbjørnsen ◽  
Mirjam Lien Smedsrød ◽  
Lise Solberg Nes ◽  
Jobke Wentzel ◽  
Cecilie Varsi ◽  
...  

BACKGROUND Maintaining weight after weight loss is a major health challenge, and eHealth (electronic health) solutions may be a way to meet this challenge. Application of behavior change techniques (BCTs) and persuasive system design (PSD) principles in eHealth development may contribute to the design of technologies that positively influence behavior and motivation to support the sustainable health behavior change needed. OBJECTIVE This review aimed to identify BCTs and PSD principles applied in eHealth interventions to support weight loss and weight loss maintenance, as well as techniques and principles applied to stimulate motivation and adherence for long-term weight loss maintenance. METHODS A systematic literature search was conducted in PsycINFO, Ovid MEDLINE (including PubMed), EMBASE, Scopus, Web of Science, and AMED, from January 1, 2007 to June 30, 2018. Arksey and O’Malley’s scoping review methodology was applied. Publications on eHealth interventions were included if focusing on weight loss or weight loss maintenance, in combination with motivation or adherence and behavior change. RESULTS The search identified 317 publications, of which 45 met the inclusion criteria. Of the 45 publications, 11 (24%) focused on weight loss maintenance, and 34 (76%) focused on weight loss. Mobile phones were the most frequently used technology (28/45, 62%). Frequently used wearables were activity trackers (14/45, 31%), as well as other monitoring technologies such as wireless or digital scales (8/45, 18%). All included publications were anchored in behavior change theories. Feedback and monitoring and goals and planning were core behavior change technique clusters applied in the majority of included publications. Social support and associations through prompts and cues to support and maintain new habits were more frequently used in weight loss maintenance than weight loss interventions. In both types of interventions, frequently applied persuasive principles were self-monitoring, goal setting, and feedback. Tailoring, reminders, personalization, and rewards were additional principles frequently applied in weight loss maintenance interventions. Results did not reveal an ideal combination of techniques or principles to stimulate motivation, adherence, and weight loss maintenance. However, the most frequently mentioned individual techniques and principles applied to stimulate motivation were, personalization, simulation, praise, and feedback, whereas associations were frequently mentioned to stimulate adherence. eHealth interventions that found significant effects for weight loss maintenance all applied self-monitoring, feedback, goal setting, and shaping knowledge, combined with a human social support component to support healthy behaviors. CONCLUSIONS To our knowledge, this is the first review examining key BCTs and PSD principles applied in weight loss maintenance interventions compared with those of weight loss interventions. This review identified several techniques and principles applied to stimulate motivation and adherence. Future research should aim to examine which eHealth design combinations can be the most effective in support of long-term behavior change and weight loss maintenance.


2018 ◽  
Vol 4 ◽  
pp. 205520761878579 ◽  
Author(s):  
Emily E Dunn ◽  
Heather L Gainforth ◽  
Jennifer E Robertson-Wilson

Objective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior have yet to be assessed for BCTs. Thus, the purpose of the present study was to review apps designed to decrease sedentary time and determine the presence of BCTs. Methods Systematic searches of the iTunes App and Google Play stores were completed using keyword searches. Two reviewers independently coded free ( n = 36) and paid ( n = 14) app descriptions using a taxonomy of 93 BCTs (December 2016–January 2017). A subsample ( n = 4) of free apps were trialed for one week by the reviewers and coded for the presence of BCTs (February 2017). Results In the free and paid app descriptions, only 10 of 93 BCTs were present with a mean of 2.42 BCTs (range 0–6) per app. The BCTs coded most frequently were “prompts/cues” ( n = 43), “information about health consequences” ( n = 31), and “self-monitoring of behavior” ( n = 17). For the four free apps that were trialed, three additional BCTs were coded that were not coded in the descriptions: “graded tasks,” “focus on past successes,” and “behavior substitution.” Conclusions These sedentary behavior apps have fewer BCTs compared with physical activity apps and traditional (i.e., non-app) physical activity and healthy eating interventions. The present study sheds light on the behavior change potential of sedentary behavior apps and provides practical insight about coding for BCTs in apps.


2017 ◽  
Author(s):  
Camille E Short ◽  
Ann DeSmet ◽  
Catherine Woods ◽  
Susan L Williams ◽  
Carol Maher ◽  
...  

UNSTRUCTURED Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way. The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research. To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors. A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures. Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research. Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement. The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged.


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