Habits, Quick and Easy: Perceived Complexity Moderates the Associations of Contextual Stability and Rewards With Behavioral Automaticity

A Longitudinal Theory-Based Investigation of How Environmental Aesthetics Predicts Home-Based Exercise

INTRODUCTION

Environmental aesthetics is a recognized macro environmental correlate of physical activity participation. Extrapolating this effect, we hypothesize this variable to also function as a determinant of exercise participation in the microenvironment , such as the home. Specifically, we predict that the environmental aesthetics of the location of cardio and resistance training equipment will predict determinants of exercise participation within the integrated behavior change model.

METHODS

Adult owners of exercise equipment ( N = 231) completed measures on the environmental aesthetics of their cardio and resistance training equipment, exercise time, and constructs from the integrated behavior change model across three consecutive monthly surveys. Study hypotheses were tested using multilevel structural equation modeling with participants (level 2) nested within time (level 1).

RESULTS

The model revealed predictive effects of intention, habit, and planning on exercise participation over time. The findings indicated a total effect of autonomous motivation on intention and habit. In addition, environmental aesthetics of cardio and strength training equipment predicted autonomous motivation, along with habit and intention when accounting for indirect effects. Finally, planning moderated the intention-behavior relationship, indicating that participants who scored higher on planning were more likely to translate their intentions to behavior.

CONCLUSIONS

These findings provide informative notes for designing effective home-based exercise programs, which have increased in popularity over the past recent years. Specifically, experimental studies that provide exercise equipment should ensure that the location of the equipment is appealing to the participant to increase the likelihood equipment use and exercise engagement.

Diagnostic accuracy and clinical utility of the PHQ-2 and GAD-2: a comparison with long-format measures for depression and anxiety

Background

Anxiety and depression are highly prevalent and often comorbid mental disorders that are encompassed within the broad category of emotional disorders. The frequent comorbidity of anxiety and depression can pose challenges for accurate diagnosis and treatment which, in turn, highlights the need for reliable measurements that are simultaneously responsive to change and prevent non-response bias. Brief measures of anxiety and depression can potentially increase response rates due to their brevity and ease of administration. This study evaluates the psychometric characteristics, discriminative accuracy, and sensitivity to change of the Generalized Anxiety Disorder 2-item scale (GAD-2) and the Patient Health Questionnaire 2-item scale (PHQ-2) within a clinical population.

Method

The sample comprised treatment-seeking participants (n = 3,411), screened (n = 2,477) to receive an internet-based psychotherapeutic intervention (cognitive-behavioral, psychodynamic, or waitlist).

Results

Brief measures can effectively detect individuals who may be eligible for a diagnosis of depression and anxiety, not only prior to but also during and following the completion of psychological treatment. The discriminative ability of the GAD-2 was significantly greater during active treatment and at post-assessment compared with pre-treatment screening, although no such differences were found for the PHQ-2. Finally, endorsing the most severe response option on the GAD-2 and PHQ-2 was associated with a high probability of presenting with clinically relevant anxiety and depressive symptoms.

Conclusion

Brief measures of anxiety and depression are viable instruments to screen for and monitor anxiety and depressive symptoms.

Clinical trial registration

ClinicalTrials.gov, identifier NCT05016843.

How consumption and reward features affect desire for food, consumption intentions, and behaviour

Understanding the mechanisms that underlie desire and intentions may assist in the search for strategies to promote the selection and consumption of more sustainable and healthier products. Therefore, we conducted two experiments to examine how cognitive representations influence desire and intentions for various savoury dishes. In Experiment 1, 1000 participants were allocated to one of five conditions, listing either the typical, sensory, context, hedonic, or health features of 20 popular dishes to assess cognitive representations, before rating their present moment desire to consume each dish. Although there was no direct effect of condition on desire, there was a significant mediating effect of condition on desire through the proportion of consumption and reward features listed (i.e., sensory, context, and hedonic words). In Experiment 2, 892 participants were allocated to one of four conditions, listing either the typical, sensory, context, or health features for the same 20 dishes, before rating their intention to consume each dish over the next four weeks. At a 4-week follow-up, participants rated how often they had consumed each dish. Again, there was no direct effect of condition on intentions, although there was a significant mediating effect of condition on intentions through consumption and reward features. This suggests that mentally simulating a previous consumption experience increases intentions to consume the dish in mind. The results also showed a positive indirect effect of consumption and reward features on behaviour through an increase in intentions. Describing healthy and sustainable products in terms of the rewarding consumption experience may increase desire and intentions to consume them, improving the health of both people and the planet.

In Which Situations Do We Eat? A Diary Study on Eating Situations and Situational Stability

Eating situations are crucial for understanding and changing eating behavior. While research on individual situational dimensions exists, little is known about eating situations as a whole. This study aimed to fill this gap by identifying eating situations as combinations of multiple situational dimensions and describing how stable individuals eat in those situations. In a five-day online diary study, 230 participants reported a total of 2461 meals and described the corresponding eating situation using predefined situational dimensions. Divisive hierarchical cluster analyses were conducted separately for breakfast, lunch, and dinner, resulting in unique cluster solutions that characterized the most common eating situations. The most common breakfast situations were characterized by a combination of the dimensions social, affect, and hunger. The most common lunch and dinner situations were characterized by varying combinations of the dimensions social, affect, and activity. Based on the identified situations, a situational stability index was developed to describe how stable individuals eat in the same situations. The findings suggest high interindividual differences in situational stability, which were associated with socio-demographic characteristics like age or employment. This study enhances our understanding of the situational aspects of eating behavior while offering tools to describe eating situations and situational stability.

Ramifications of behavioural complexity for habit conceptualisation, promotion, and measurement

Behavioural theories, predictions, and interventions should be relevant to complex, real-world health behaviours and conditions. Habit theory and habit formation interventions show promise for predicting and promoting, respectively, longer-term behaviour change and maintenance than has been attained with theories and interventions focused only on deliberative behavioural factors. However, the concept of habit has largely been treated as uniform across different types of behaviours. In this conceptual review, we contend that the definitional aspects of habit differ at a conceptual level for simple versus more complex behaviours, with ramifications for prediction, promotion, and measurement of habits. Specifically, habits are defined as direct context-response associations learned through repeatedly rewarded responding - but what is meant by 'response' and 'reward' depends upon the complexity of the behaviour. We review literature that suggests (1) responses in complex habits have separable and substitutable components (vs a single and static, unitary component) and (2) rewards for complex habits are necessarily continued and intrinsic (vs temporary and extrinsic, respectively). We discuss some empirical and theoretical questions raised by these issues around behavioural complexity and habit. Lastly, we outline the ramifications of these issues for habit measurement (habit strength and habit formation) via self-report and objective measures.

The Situated Assessment Method (SAM2): Establishing individual differences in habitual behavior

From the perspectives of grounded, situated, and embodied cognition, we have developed a new approach for assessing individual differences. Because this approach is grounded in two dimensions of situatedness-situational experience and the Situated Action Cycle-we refer to it as the Situated Assessment Method (SAM2). Rather than abstracting over situations during assessment of a construct (as in traditional assessment instruments), SAM2 assesses a construct in situations where it occurs, simultaneously measuring factors from the Situated Action Cycle known to influence it. To demonstrate this framework, we developed the SAM2 Habitual Behavior Instrument (SAM2 HBI). Across three studies with a total of 442 participants, the SAM2 HBI produced a robust and replicable pattern of results at both the group and individual levels. Trait-level measures of habitual behavior exhibited large reliable individual differences in the regularity of performing positive versus negative habits. Situational assessments established large effects of situations and large situation by individual interactions. Several sources of evidence demonstrated construct and content validity for SAM2 measures of habitual behavior. At both the group and individual levels, these measures were associated with factors from the Situated Action Cycle known to influence habitual behavior in the literature (consistency, automaticity, immediate reward, long-term reward). Regressions explained approximately 65% of the variance at the group level and a median of approximately 75% at the individual level. SAM2 measures further exhibited well-established interactions with personality measures for self-control and neuroticism. Cognitive-affective processes from the Situated Action Cycle explained nearly all the variance in these interactions. Finally, a composite measure of habitualness established habitual behaviors at both the group and individual levels. Additionally, a composite measure of reward was positively related to the composite measure of habitualness, increasing with self-control and decreasing with neuroticism.

Developing habit-based health behaviour change interventions: twenty-one questions to guide future research

OBJECTIVE

Habitual behaviours are triggered automatically, with little conscious forethought. Theory suggests that making healthy behaviours habitual, and breaking the habits that underpin many ingrained unhealthy behaviours, promotes long-term behaviour change. This has prompted interest in incorporating habit formation and disruption strategies into behaviour change interventions. Yet, notable research gaps limit understanding of how to harness habit to change real-world behaviours.

METHODS

Discussions among health psychology researchers and practitioners, at the 2019 European Health Psychology Society 'Synergy Expert Meeting', generated pertinent questions to guide further research into habit and health behaviour.

RESULTS

In line with the four topics discussed at the meeting, 21 questions were identified, concerning: how habit manifests in health behaviour (3 questions); how to form healthy habits (5 questions); how to break unhealthy habits (4 questions); and how to develop and evaluate habit-based behaviour change interventions (9 questions).

CONCLUSIONS

While our questions transcend research contexts, accumulating knowledge across studies of specific health behaviours, settings, and populations will build a broader understanding of habit change principles and how they may be embedded into interventions. We encourage researchers and practitioners to prioritise these questions, to further theory and evidence around how to create long-lasting health behaviour change.

Can a simple plan change a complex behavior? Implementation intentions in the context of water drinking

Underhydration has significant adverse physical and mental health effects, yet many people drink too little water. Implementation intentions have been found to effectively promote many health behaviors, but little is known about the processes underlying their effects in naturalistic settings, and whether they could improve water drinking. This mixed-methods study assessed the impact and potential underlying processes of using implementation intentions to increase self-reported water intake over a five-day follow-up. Ninety-five participants (Mage = 39, SD = 12) received an educational quiz to increase their water drinking motivation before being randomly assigned to the control or intervention group. Participants also completed a qualitative survey that assessed the processes underlying their attempts to increase water intake. Quantitative results suggested that most participants increased their average daily water intake regardless of group. Qualitative results indicated that implementation intention participants struggled with remembering and the perceived effort of preparation and drinking behaviors, which reduced the effect of planning on behavior. This study provides essential theoretical and methodological considerations for researchers studying implementation intentions, as the effects and mechanisms of implementation intentions in real-life situations may be more complex than previously assumed. For example, the results suggest that implementation intentions did not automatize remembering and performing the behavior in ways the current literature theorizes. Other kinds of interventions may be needed to improve the complex daily-life behaviour of water drinking.

The art of forming habits: applying habit theory in changing physical activity behaviour

Background

Habits are obtained as a consequence of cue-contingent behavioural repetition. Context cues stimulate strong habits without an individual contemplating that action has been initiated. Because of its health-enhancing effects, making physical activity a part of one’s life is essential. This study examined the associations of physical activity (PA) behaviours with PA habits and the role of autonomous motivation in developing PA habits.

Methods

This study used a cross-sectional design. A structured questionnaire was implemented through emails to 226 university students, where PA levels, habits and autonomous motivation were self-reported.

Results

Binary logistic regression identified age groups, gender and participants who were trying to lose weight as the significant predictors in meeting physical activity guidelines. Path analysis showed that moderate-intensity physical activity (β = 0.045, CI = 0.069–0.248) and strength training exercises (β = 0.133, CI = 0.148–0.674) were significantly associated with PA habits (p < 0.01). Autonomous motivation was directly associated with PA habits (β = 0.062, CI = [0.295–0.541], p < 0.01) and was also significantly related to moderate-intensity physical activity (β = 0.243, CI = [0.078–0.266], p < 0.01) and strength training exercises (β = 0.202, CI = [0.033–0.594], p < 0.05).

Conclusions

The emphasis on experiment-based logic and interest in habit formation in the research community is extensive. As the college years offer an excellent opportunity to establish healthy behavioural interventions, encouraging students in regular PA and exhibiting an autonomous motivation towards PA may be necessary.

The role of environmental cues in sugar-sweetened beverage consumption using a temporal self-regulation theory framework

Sugar-sweetened beverage consumption is related to adverse health outcomes such as obesity and Type 2 diabetes. The present research further examined the utility of the temporal self-regulation theory in predicting sugar-sweetened beverage consumption. In addition, the research aimed to identify salient cues that trigger intake. Two-hundred and eighty-seven participants were recruited using convenience sampling in US and Australian populations. Hierarchical multiple regression analyses were used, and the final model accounted for 27.1% of the variance in consumption, providing partial support for the temporal self-regulation theory (ƒ² = 0.37). Intention accounted for a significant 7.0% of variance (R² = 0.07, p < .001), behavioural prepotency variables (past behaviour, habit, and cues) together combined for an additional 15.1% of variance (R² = 0.15, p < .001), but neither measure of self-regulatory capacity (trait self-control, inhibition) was a significant predictor. No cues emerged as unique predictors, however the findings suggest that consumption may be influenced by a combination of cues across different situations. Behavioural prepotency moderated the intention-behaviour relationship such that as behavioural prepotency increased, the greater the influence intention had on behaviour. Further support for the role of both intention and automatic processes in sugar-sweetened beverage consumption was garnered, but more research is needed to identify when specific cues influence consumption most.

You Are What You Repeatedly Do: Links Between Personality and Habit

Several socio-cognitive theories of personality describe habit development as an integral process of personality development. Yet, no empirical research has rigorously examined linkages between personality traits and habits. In the present study, participants (N=459) reported perceived automaticity, intrinsic rewards, and extrinsic rewards for several of 25 total behaviors; they also self-reported two important traits: conscientiousness and neuroticism. Conditional multilevel mediation analyses were used to assess the effect of each conscientiousness and neuroticism on automaticity through intrinsic and extrinsic rewards for each behavior. Across behaviors, conscientiousness was negatively associated with behavioral automaticity, and neuroticism positively predicted it. Specifically, conscientiousness appeared to protect against automaticity for health risk behaviors but did not promote automaticity for behaviors performed frequently by those high in conscientiousness; conversely, neuroticism positively predicted automaticity even for behaviors not performed more frequently by those high on the trait. Perceived intrinsic and extrinsic rewards mediated the link between traits and automaticity for some behaviors (e.g., sugary drink consumption), but these effects were not consistent across all behaviors. These findings offer some of the first empirical insights into the links between personality and habits.

Attitudes, Habits, and Behavior Change

Efforts to guide peoples' behavior toward environmental sustainability, good health, or new products have emphasized informational and attitude change strategies. There is evidence that changing attitudes leads to changes in behavior, yet this approach takes insufficient account of the nature and operation of habits, which form boundary conditions for attitude-directed interventions. Integration of research on attitudes and habits might enable investigators to identify when and how behavior change strategies will be most effective. How might attitudinally driven behavior change be consolidated into lasting habits? How do habits protect the individual against the vicissitudes of attitudes and temptations and promote goal achievement? How might attitudinal approaches aiming to change habits be improved by capitalizing on habit discontinuities and strategic planning? When and how might changing or creating habit architecture shape habits directly? A systematic approach to these questions might help move behavior change efforts from attitude change strategies to habit change strategies. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

A Mobile Phone App for the Generation and Characterization of Motor Habits

Habits are a powerful route to efficiency; the ability to constantly shift between goal-directed and habitual strategies, as well as integrate them into behavioral output, is key to optimal performance in everyday life. When such ability is impaired, it may lead to loss of control and to compulsive behavior. Habits have successfully been induced and investigated in rats using methods such as overtraining stimulus-response associations and outcome devaluation, respectively. However, such methods have ineffectively measured habits in humans because (1) human habits usually involve more complex sequences of actions than in rats and (2) of pragmatic impediments posed by the extensive time (weeks or even months), it may take for routine habits to develop. We present here a novel behavioral paradigm-a mobile-phone app methodology-for inducing and measuring habits in humans during their everyday schedule and environment. It assumes that practice is key to achieve automaticity and proficiency and that the use of a hierarchical sequence of actions is the best strategy for capturing the cognitive mechanisms involved in habit formation (including "chunking") and consolidation. The task is a gamified self-instructed and self-paced app on a mobile phone that enables subjects to learn and practice two sequences of finger movements, composed of chords and single presses. It involves a step-wise learning procedure in which subjects begin responding to a visual and auditory cued sequence by generating responses on the screen using four fingers. Such cues progressively disappear throughout 1 month of training, enabling the subject ultimately to master the motor skill involved. We present preliminary data for the acquisition of motor sequence learning in 29 healthy individuals, each trained over a month period. We demonstrate an asymptotic improvement in performance, as well as its automatic nature. We also report how people integrate the task into their daily routine, the development of motor precision throughout training, and the effect of intermittent reinforcement and reward extinction in habit preservation. The findings help to validate this "real world" app for measuring human habits.