Do habits always override intentions? Pitting unhealthy snacking habits against snack-avoidance intentions

Association of temporal self-regulation theory and its constructs with eating behavior: A systematic review and meta-analysis

Temporal Self-Regulation theory (TST) aims to address the intention-behavior gap; however, its applicability to eating behavior remains insufficiently validated. The objective of this review was to assess whether the constructs of TST are associated with eating behavior. A comprehensive literature review was conducted in December 2024, utilizing the databases Web of Science, PsycINFO, CINAHL, and EMBASE. A total of 21 articles, encompassing 7913 participants, were identified. Meta-analyses were performed to examine the associations between the theoretical constructs and eating behaviors. The findings indicated that intention (ES(z) = 0.50, 95% CI: 0.33, 0.68, P < 0.001; pooled r = 0.46), behavioral prepotency (ES(z) = 0.68, 95% CI: 0.31, 1.05, P < 0.001; pooled r = 0.59), and self-regulation capacity (ES(z) = 0.37, 95% CI: 0.25, 0.49, P < 0.001; pooled r = 0.35) are significantly associated with healthy eating behaviors. For unhealthy eating behaviors, significant associations were demonstrated only with intention (ES(z) = 0.47, 95% CI: 0.01, 0.93, P = 0.04; pooled r = 0.44) and behavioral prepotency (ES(z) = 0.39, 95% CI: 0.25, 0.53, P < 0.001; pooled r = 0.37). These findings suggest that TST is applicable to eating behaviors. In particular, future interventions should be grounded in scientific theory, with a focus on optimizing intention, behavioral prepotency, and self-regulation capacity, while also considering the cultural context and individual needs of the target population. These efforts are essential for achieving global dietary health goals and will contribute significantly to preventing the occurrence of diet-related noncommunicable diseases.

Perseverative cognition and health behaviours: exploring the role of intentions and perceived behavioural control

OBJECTIVE

Worry and rumination (Perseverative Cognition, PC) have been associated with health behaviours, but the underlying mechanisms are unknown. Given the role of physiological experiences on perceived behavioural control (PBC) and emotion regulation on intention-health behaviour relationships, we tested whether: PC prospectively predicts poorer health behaviours; PC moderates the relationship(s) between intentions/PBC and health behaviour, as well as whether the relationship between PC and health behaviour is mediated by intentions and PBC.

METHODS AND MEASURES

In a prospective design, 650 participants (mean age = 38.21 years; 49% female) completed baseline measures of intentions, PBC and PC (worry and rumination) and 590 (mean age = 38.68 years; 50% female) completed follow-up (Time 2) measures of health behaviours (physical activity, sleep, sedentary activity, unhealthy snacking) 1-week later.

RESULTS

Worry and rumination (at T1) predicted poorer sleep quality. Worry, but not rumination, moderated PBC-physical activity frequency relations. Consistent with mediation, the indirect paths from both worry and rumination, through PBC, to sleep quality and total sleep time were significant.

CONCLUSION

PC is associated with poorer sleep quality and PBC can play a mediating role in such relationships. Future research should further consider the role that PBC plays in PC-health behaviour relations.

Psychosocial determinants of healthy sleep habits in adults with type 1 and type 2 diabetes

Background

Many adults with type 1 (T1D) and type 2 diabetes (T2D) have inadequate sleep increasing their risk of hyperglycemia and developing complications. The objective was to identify psychosocial determinants of healthy sleep habits (HSH) among adults with T1D and T2D.

Methods

The two HSH were: avoiding screen use in bed and having sleep regularity. Adults (≥18 years) with T1D and T2D were invited to complete an anonymous online survey. The questionnaires were based on the Reasoned Action Approach and formative qualitative research previously conducted in 56 adults with T1D and T2D. Habit was included as an additional variable for screen use in bed.

Results

In total, 320 adults with diabetes (T1D: 39%; T2D: 61%) completed the questionnaires (screen use in bed: 174; sleep timing: 146). Close to 75% of participants reported screen use in bed and close to 90% reported sleep timing variability in the last month. Perceived behavioral control (PBC) to avoid screen use in bed (β = -0.4486, p < 0.0001), habit of using screens in bed (β = 0.4002; p < 0.0001), and age (β = -0.0202; p = 0.0086) were determinants of screen use in bed, and this model explained 71% of the variance. PBC for sleep regularity (β = -0.2909; p = 0.0004) and being female (β = 0.5057; p = 0.0069) were determinants of sleep timing variability, and this model explained 28% of the variance. The most important beliefs associated with each HSH were identified to obtain information to design targeted interventions.

Conclusions

Few adults with diabetes have HSH. Screen use in bed was strongly influenced by habit and the results suggest that both HSH are not easy to adopt among adults with diabetes. Younger adults with diabetes should be prioritized for screen use in bed, while females with diabetes should be prioritized for sleep timing variability. Adults with diabetes should have access to behavior change interventions to encourage them to adopt HSH.

Use IT again? Dynamic roles of habit, intention and their interaction on continued system use by individuals in utilitarian, volitional contexts

This paper employs a longitudinal perspective to examine continued system use (CSU) by individuals in utilitarian, volitional contexts when alternative systems are present . We focus on two key behavioural antecedents of CSU - habit and continuance intention - and theorise how the relationships between CSU and these antecedents evolve over time. In addition, we hypothesise how the interaction effect of habit and intention on CSU evolves temporally. Our theorising differs from extant literature in two important respects: 1) In contrast to the widespread acceptance of the diminishing effect of continuance intention on CSU in the information systems (IS) literature, we hypothesise that in our context, its impact increases with time; and 2) In contrast to the negative moderation effect of habit on the relationship between intention and CSU proposed in the literature, we posit a positive interaction effect. We collect longitudinal survey data on the use of a higher education IS from students in a European university. Our results suggest that the impact of continuance intention on CSU as well as the interaction effect between habit and intention are increasing over time. We further introduce a methodological innovation - the permutation approach to conduct the multi-group analysis with repeated measures - to the literature.

Understanding the Willingness of Students to Use Bicycles for Sustainable Commuting in a University Setting: A Structural Equation Modelling Approach

The bicycle is a forgotten and neglected mode of transport even though it offers numerous individual, social, and environmental benefits over motorised transport. This research seeks to determine the factors influencing students to use bicycles for commuting and focuses on the strategies that encourage bicycling in a university setting. This study proposes the novel model framework by adopting Ajzen’s theory of planned behaviour. We modified the theory of planned behaviour by adding two new constructs, perceived barriers and habit. The respondents in this study are 422 students from Universiti Kebangsaan Malaysia in Selangor, Malaysia. The structural equation model in this study showed that the main attitudinal constructs, namely attitudes, subjective norms and perceived behavioural control, have a significant positive and direct influence on the students’ willingness to cycle. In addition, the perceived barriers have a profound negative and indirect impact on behaviour intention through attitude, perceived behavioural control and habit. The perceived barriers did not have a significant influence on the subjective norms. However, habit has a profound positive and direct effect on three main attitudinal constructs (attitude, subjective norms and perceived behavioural control). This element could indirectly influence the behaviour intention of cycling in a university setting. Finally, this study has identified the physical, educational and economic policies for promoting bicycle use on university setting. It also contributes beneficial information that authorities, policymakers, planners and researchers could use to formulate effective strategies for increasing bicycle use on university setting and promote green and sustainable university settings.

A Dual-Process Model Applied to Two Health-Promoting Nutrition Behaviours

We tested a dual process model incorporating constructs that reflect both performing the target behaviour (behaviour directed habit) and habits that run counter to the target behaviour (opposing behaviour habit) in accounting for variance in two health behaviours: eating the recommended serves of fruits and vegetables a day and restricting sugar-sweetened beverage consumption. A prospective correlational design with two waves of data collection separated by one week was adopted. Participants (N = 606) comprising middle school students (n = 266) and university students (n = 340) completed an initial survey comprising self-report measures of past behaviour, intention, and habit to perform the target behaviour and habits that run counter to the target behaviour. One week later, participants (N = 414) completed a self-reported measure of behaviour. Results revealed that behaviour directed habits predicted fruit and vegetable consumption in both samples, while opposing behaviour habits predicted restriction of sugar-sweetened beverages in the middle-school sample only, with a moderating effect also observed. Current findings indicate that habits specifying avoidance of the target behaviour did not predict future behaviour. However, the moderating effect observed provides preliminary evidence that strong habits to perform a behaviour may override habit to avoid the behaviour.

Getting Young Drivers to Buckle Up: Exploring the Factors Influencing Seat Belt Use by Young Drivers in Malaysia

Many car drivers in Malaysia, especially young drivers, ignore the importance of wearing seat belts. This questionnaire study employed an extended version of the theory of planned behaviour (TPB) by including habit as a new construct to explain the factors influencing the behavioural intention and expectation of young Malaysian drivers to use seat belts. A total of 398 young drivers from the state of Selangor in Malaysia participated in this study. Analyses used a covariance-based structural equation modelling (CB-SEM) approach. The results showed that the variance, which indicates the intention of young Malaysian drivers to use seat belts (R2 = 0.76), is influenced by drivers’ habits and three basic constructs of the TPB (attitude, subjective norms, and perceived behavioural control). The basic TPB constructs have a direct and positive impact on the intention of young Malaysian drivers to use seat belts. Drivers’ habits have a positive and direct influence on their intention to use seat belts, and an indirect influence via the attitude and perceived behaviour control constructs. Drivers’ habits do not influence subjective norms. The authors recommend implementing effective measures to encourage Malaysian drivers to use seat belts and ensure sustainable traffic safety.

Relating goal-directed behaviour to grazing in persons with obesity with and without eating disorder features

BACKGROUND

Both obesity and eating disorders (ED) have been associated with reductions in purposeful, flexible goal-directed behaviour, and with an overreliance on more rigid habitual behaviour. It is currently unknown whether grazing, an eating style which is common in both conditions, is related to goal-directed behaviour. The current study therefore aimed to relate grazing to goal-directed behaviour in a group of participants with obesity with and without ED features, compared to a healthy-weight control group.

METHODS

Participants (N = 87; 67.8% women, mean age 28.57 years), of whom 19 had obesity and significant eating disorder features, 25 had obesity but without marked eating disorder features, and 43 were age- and sex-matched healthy-weight controls, completed two instrumental learning tasks assessing action-outcome contingency sensitivity and devaluation sensitivity, as well as demographic and eating disorder-related questionnaires. Gamma and Ordinary Least Squares regressions were performed to examine the effect of group and grazing on goal-directed behaviour.

RESULTS

Lower action-outcome contingency sensitivity was found in the group with obesity and with eating disorder features than in the group with obesity but without eating disorder features or in healthy controls. No group differences in devaluation sensitivity were found. A small but significant relationship was found between grazing severity and contingency sensitivity in the group with obesity and eating disorder features, such that increasing grazing severity was associated with less diminished contingency sensitivity.

CONCLUSIONS

There is some indication that in persons with obesity and eating disorder features instrumental behaviour is less flexible and adaptive; furthermore, within this group grazing may represent a goal-directed behaviour, despite unhelpful long-term implications of grazing.

Linking Grazing to Inhibition and Goal-Directed Behaviour in Obesity With and Without Eating Disorder Features

Recent models of obesity and eating behaviour have implicated both automatic responding to food-related cues and executive functioning in driving dietary choice. This study aimed to relate grazing severity to high weight with and without significant eating disorder features via the effects of inhibition and degree of goal-directed behaviour, in persons with obesity with and without significant eating disorder features compared to healthy controls. Forty-four participants with obesity (43.1% endorsing marked eating disorder features), and 43 healthy-weight age- and sex-matched participants (N = 87; 67.8% female, age = 28.57 (8.70; 18.18–58.34) years, BMI = 29.18 (7.80; 18.65–51.95) kg/m2) completed demographic and eating disorder-related questionnaires, a neuropsychological task of inhibition and an instrumental decision-making task. Bootstrapped serial mediation analyses were performed to examine the effect of group on grazing via goal-directed behaviour and inhibition. While significant differences existed between the groups in terms of inhibition, goal-directed behaviour and grazing severity, the effect of group on grazing severity was not found to be mediated by the degree of behavioural goal-directedness and inhibition. Therefore, :in persons with obesity with or without eating disorder symptoms, putative relationships between a reduced inhibitory profile and/or behaviour that is less flexible and goal-directed and eating behaviours such as grazing, remain unclear.

What influences the selection of contextual cues when starting a new routine behaviour? An exploratory study

BACKGROUND

Contextual cues play an important role in facilitating behaviour change. They not only support memory but may also help to make the new behaviour automatic through the formation of new routines. However, previous research shows that when people start a new behaviour, they tend to select cues that lack effectiveness for prompting behaviour. Therefore, it is important to understand what influences cue selection, as this can help to identify acceptable cues, which in turn could inform future behaviour change interventions to help people select cues that best fit their context and so ensure continued repetition.

METHODS

We conducted a qualitative study to investigate what cues people select, how, and what influences their decisions. We recruited 39 participants and asked them to take vitamin C tablets daily for 3 weeks and later interviewed them about their experience. Quantitative habit strength and memory measures were taken for descriptive purposes.

RESULTS

Cue selection was primarily influenced by a desire to minimise effort, e.g. keeping related objects at hand or in a visible place; prior experience with similar behaviours (regardless of whether the cues used in the past were reliable or not); and beliefs about effective approaches. In addition, we found that suboptimal remembering strategies involved reliance on a single cue and loosely defined plans that do not specify cues. Moreover, for many participants, identifying optimal cues required trial and error, as people were rarely able to anticipate in advance what approach would work best for them.

CONCLUSIONS

Future behaviour change interventions that rely on routine behaviours might fruitfully include the provision of educational information regarding what approaches are suboptimal (single factors, vaguely defined plans) and what is most likely to work (combining multiple clearly defined cues). They should also assess people's existing beliefs about how to best remember specific behaviours as such beliefs can either enhance or inhibit the cues they select. Finally, interventions should account for the fact that early failures to remember are part of the process of developing a reliable remembering strategy and to be expected.

How we are misinterpreting physical activity intention - behavior relations and what to do about it

Background

Studies of the physical activity intention-behavior gap, and factors that may moderate the gap (e.g., habit, perceived behavioral control), can inform physical activity promotion efforts. Yet, these studies typically apply linear modeling procedures, and so conclusions rely on linearity and homoscedasticity assumptions, which may not hold.

Methods

We modelled and plotted physical activity intention-behavior associations and the moderation effects of habit using simulated data based on (a) normal distributions with no shared variance, (b) correlated parameters with normal distribution, and (c) realistically correlated and non-normally distributed parameters.

Results

In the uncorrelated and correlated normal distribution datasets, no violations were unmet, and the moderation effects applied across the entire data range. However, because in the realistic dataset, few people who engaged in physical activity behavior had low intention scores, the intention-behavior association was non-linear, resulting in inflated linear moderation estimations of habit. This finding was replicated when tested with intention-behavior moderation of perceived behavioral control.

Conclusions

Comparisons of the three scenarios illustrated how an identical correlation coefficient may mask different types of intention-behavior association and moderation effects. These findings highlight the risk of misinterpreting tests of the intention-behavior gap and its moderators for physical activity due to unfounded statistical assumptions. The previously well-documented moderating effects of habit, whereby the impact of intention on behavior weakens as habit strength increases, may be based on statistical byproducts of unmet model assumptions.

The PREVIEW Study

Abstract. Individuals at risk of Type 2 Diabetes are advised to change health habits. This study investigated how the PREMIT behavior modification intervention and its association with socio-economic variables influenced weight maintenance and habit strength in the PREVIEW study. Overweight adults with pre-diabetes were enrolled ( n = 2,224) in a multi-center RCT including a 2-month weight-loss phase and a 34-month weight-maintenance phase for those who lost ≥ 8% body weight. Initial stages of the PREMIT covered the end of weight-loss and the beginning of weight-maintenance phase (18 weeks). Cross-sectional and longitudinal data were explored. Frequent PREMIT sessions attendance, being female, and lower habit strength for poor diet were associated with lower weight re-gain. Being older and not in employment were associated with lower habit strength for physical inactivity. The PREMIT appeared to support weight loss maintenance. Younger participants, males, and those in employment appeared to struggle more with inactivity habit change and weight maintenance.

Trait Self-Control, Social Cognition Constructs, and Intentions: Correlational Evidence for Mediation and Moderation Effects in Diverse Health Behaviours

BACKGROUND

We examined effects of trait self-control, constructs from social cognition theories, and intentions on health behaviours. Trait self-control was expected to predict health behaviour indirectly through theory constructs and intentions. Trait self-control was also predicted to moderate the intention-behaviour relationship.

METHODS

Proposed effects were tested in six datasets for ten health-related behaviours from studies adopting prospective designs. Participants (N = 3,249) completed measures of constructs from social cognition theories and self-control at an initial time point and self-reported their behaviour at follow-up.

RESULTS

Results revealed indirect effects of self-control on behaviour through social cognition constructs and intentions for eight behaviours: eating fruit and vegetables, avoiding fast food, dietary restrictions, binge drinking, physical activity, walking, out-of-school physical activity, and pre-drinking. Self-control moderated the intention-behaviour relationship in four behaviours: dietary restriction, and alcohol-related behaviours.

CONCLUSIONS

Mediation effects suggest that individuals with high self-control are more likely to hold beliefs and intentions to participate in future health behaviour, and more likely to act. Moderation effects indicate that individuals with high self-control are more likely to enact healthy intentions and inhibit unhealthy intentions, but findings were restricted to few behaviours. Training self-control and managing contingencies that derail goal-directed action may be effective intervention strategies.