Planning bridges the intention–behaviour gap: Age makes a difference and strategy use explains why

Objective: This study examines age-differential association patterns between intentions, planning and physical activity in young and middle-aged individuals. The effectiveness of planning to bridge the intention–behaviour gap is assumed to increase with advancing age. We explore the use of behaviour change strategies that include selection, optimisation and compensation (SOC) as underlying mechanisms for age differences. Methods: In N = 265 employees of a national railway company (aged 19–64 years), intentions, planning, SOC strategy use and physical activity were assessed at baseline (Time 1) and again 1 month later (Time 2). Hypotheses were tested in two different path models. Results: Age moderates the extent to which planning mediates the intention–behaviour relation due to an increasing strength of the planning–behaviour link. As a possible psychological mechanism for these age differences, we identified SOC strategy use as a mediator of the age by planning interaction effect on physical activity. Conclusion: These findings suggest differential mechanisms in behaviour regulation in young and middle-aged individuals.     

Closing the gap? Some questions for neurophenomenology

In his 1996 paper “Neurophenomenology: A methodological remedy for the hard problem,” Francisco Varela called for a union of Husserlian phenomenology and cognitive science. Varela's call hasn't gone unanswered, and recent years have seen the development of a small but growing literature intent on exploring the interface between phenomenology and cognitive science. But despite these developments, there is still some obscurity about what exactly neurophenomenology is. What are neurophenomenologists trying to do, and how are they trying to do it? To what extent is neurophenomenology a distinctive and unified research programme? In this paper I attempt to shed some light on these questions.     

Predicting parental sunscreen use: Disentangling the role of action planning in the intention–behavior relationship

Structural equation modeling was used to examine antecedents of parental sunscreen use (N = 436) in a longitudinal design. The influence of a volitional planning cognition was assessed in several path models, investigating potential mediation and moderation of the intention–behavior relationship. Premotivational and motivational variables accounted for 55.1% of the variance in intention to use sunscreen. Intention emerged as the most powerful predictor of behavior, followed by action planning and self-efficacy expectations, together explaining 35.4% of parental sunscreen use after five months. Strong support was found for both mediating and moderating influences of action planning on the intention–behavior relationship. Action planning also partially mediated the impact of self-efficacy on behavior. The results support theoretical considerations to add postintentional cognitions to current health behavior models. Although action planning is an important component in the transition from intention to behavior, the impact of intention and of other premotivational and motivational variables should not be overlooked when developing health educational interventions.     

Bridging the intention–behaviour gap: Planning,self-efficacy,and action control in the adoption and maintenance of physical exercise

Although some people may develop an intention to change their health behaviour, they might not take any action. This discrepancy has been labelled the “intention–behaviour gap.” Detailed action planning, perceived self-efficacy, and self-regulatory strategies (action control) may mediate between intentions and behaviour. This was examined in a longitudinal sample of 307 cardiac rehabilitation patients who were encouraged to adopt or maintain regular exercise. At the first time point, the predictors of intention and intention itself were assessed. Two months and four months later, the mediators and outcomes were measured. Results confirmed that all the three factors (planning, maintenance self-efficacy, and action control) served to mediate between earlier exercise intentions and later physical activity, each of them making a unique contribution. The results have implications for research on the “intention–behaviour gap,” and indicate that planning, maintenance self-efficacy and action control may be important volitional variables.     

The role of emotion in bridging the intention–behaviour gap: The case of sports participation

ProblemPsychological models of sports participation frequently draw on the Theory of Planned Behaviour (TPB) in order to predict health-behaviour-related intentions. While these models commonly show high predictive power with respect to intention, they often fall short in the prediction of behaviour (the ‘intention–behaviour gap’). The present study contends that integrating emotional processes into TPB can substantially improve the model's predictive power over and above traditional cognitive predictors.MethodIn a longitudinal study structural equation modelling was employed to test a traditional model (based on TPB) and an extended model including emotion associated with the intention to exercise as a mediator variable. A community sample (N = 237) completed a questionnaire measuring the components of a traditional TPB model. Prior to each of 16 expected exercise sessions (over 8 weeks) intention to exercise and emotion associated with the intention were measured.ResultsResults confirmed a substantial increase of 17% in explained variance of exercise frequency and 20% in exercise duration for the extended model. Emotional appraisal of the intention to exercise thus appears to mediate the traditional intention–behaviour relationship, suggesting that emotionally based interventions aimed at increasing sports participation may be helpful.ConclusionIt is concluded that emotion variables should be added to traditional TPB models in order to predict health behaviour more fully.     

Does habit weaken the relationship between intention and behaviour? Revisiting the habit‐intention interaction hypothesis

Habitual behaviours are elicited when a familiar context activates cue‐behaviour associations that have been learned through previous performance. A core hypothesis within habit theory is that, by virtue of its automaticity, habit weakens the impact of intention on action, such that in facilitating conditions, action will be guided more by habit than momentary intentions. This has led to recommendations that habit formation be harnessed as a mechanism for sustaining desirable behaviour over time, when people would otherwise relapse due to loss of motivation. This article reviews theory and evidence around the hypothesized interaction between habit and intention as determinants of behaviour. We first qualify the hypothesis by clarifying that it pertains only to determinants of the instigation of action, rather than execution. Next, drawing on a systematic review of 52 behaviour‐prediction studies, we highlight mixed empirical support for the interaction. We argue that ostensibly inconsistent findings can be reconciled by recognizing the distinction between the direction and strength of intention, and identifying the “facilitating conditions” that may determine the relative influence of habit and intention on behaviour. Evidence demonstrates that when self‐control is diminished, people act habitually regardless of intention direction or strength. When people possess self‐control, habits can help people to act on favourable but weakened intentions, but intentions that oppose habitual tendencies can override habitual influence. This has important implications for behaviour change: even if habit has formed, a minimal level of favourable conscious motivation may be required to sustain behaviours over time. Social psychology might fruitfully move beyond asking whether habit moderates the intention‐behaviour relationship, and instead probe how and in which conditions habits and intentions interact.     

Temporal stability of behavioural intention as a moderator of intention–health behaviour relationships

Seven prospective studies of health behaviours containing eight prospective datasets testing the moderating role of intention stability on intention–behaviour and past behaviour–behaviour relationships were examined within the context of the Theory of Planned Behaviour. The measure of intention stability was based on lack of change in intentions between the two measurement time points. Across different behaviours, samples and time frames more stable intentions were associated with intentions at time 1 that were stronger predictors of behaviour at time 2. Intention stability did not consistently moderate the past behaviour–behaviour relationship. Across studies the frequency-weighted mean correlation between intentions and behaviour was substantially greater for stable (r ₊?=?0.60) compared to unstable (r ₊?=?0.27) intentions (Z _difference?=?6.65, p?<?0.001). The past behaviour–behaviour correlation was also stronger for stable (r ₊?=?0.50, p?<?0.001) compared to unstable (r₊ ?=?0.34, p?<?0.001) intentions (Z _difference?=?3.12, p?<?0.01). Perceived behavioural control was the variable most strongly related to stable intentions. Implications for understanding the role of health cognitions in the performance of health behaviour are discussed.     

Social-cognitive antecedents of hand washing: Action control bridges the planning–behaviour gap

Objectives. To examine motivational and volitional factors for hand washing in young adults, using the Health Action Process Approach (HAPA) as a theoretical framework.

Design. In a longitudinal design with two measurement points, six weeks apart, university students (N = 440) completed paper-based questionnaires.

Main outcome measures. Prior hand washing frequency, self-efficacy, outcome expectancies, intention and action planning were measured at baseline, and coping planning, action control and hand washing frequency were measured at follow-up.

Results. A theory-based structural equation model was specified. In line with the HAPA, the motivational factors of self-efficacy and outcome expectancies predicted intention, whereas the volitional factors of planning and action control mediated between intention and changes in hand washing frequency. Action control was confirmed as the most proximal factor on hand washing behaviour, thus representing a bridge of the planning–behaviour gap.

Conclusions. Both motivational and volitional processes are important to consider in the improvement of hand hygiene practices. Moreover, the statistically significant effects for planning and action control illustrate the importance of these key self-regulatory factors in the prediction of hand hygiene. The current study highlights the importance of adopting models that account for motivational and volitional factors to better understand hand washing behaviour.     

Which behaviours? Identifying the most common and burdensome behaviour changes in amyotrophic lateral sclerosis

Behaviour change is increasingly recognised as a common feature of amyotrophic lateral sclerosis (ALS), and may be similar to that seen in frontotemporal dementia (FTD). The behaviours most disturbed in ALS, and those that relate most significantly to caregiver burden, however, have not been well established. Forty ALS participants and their caregivers, and 27 age- and gender-matched healthy controls and their relatives, participated in this study. ALS participants were assessed on a disease rating scale, and caregivers and control informants completed the revised version of the Cambridge Behaviour Inventory and a measure of burden. ALS caregivers reported significantly more disturbance than healthy control informants on the functional domains of everyday skills, self-care, and sleep, and in the behavioural domains of mood and motivation. There were no differences between groups in frequency of memory and orientation difficulties, or behaviours characteristic of FTD, such as changes to eating habits or stereotypic and motor behaviour, indicating that the behavioural profile in ALS may differ from FTD. In the ALS group, the domains with the strongest relationship to caregiver burden were everyday skills, motivation and memory, likely because poor motivation, memory dysfunction and difficulties completing activities of daily living require more carer support via direct supervision, prompting or hands on care. Services to support ALS patients and caregivers need to provide targeted interventions for those functional and behavioural changes which are most burdensome in the disease.     

A qualitative analysis of the vaccine intention–behaviour relationship: parents’ descriptions of their intentions,decision-making behaviour and planning processes towards HPV vaccination

Objective: The objective of this study is to identify factors influencing the vaccine intention–behaviour relationship. Design: A total of 445 parents who received a brief intervention to promote HPV vaccination were categorized based on their intentions post-intervention (yes/unsure/eventually/never) and subsequent adolescents’ vaccine status (yes/no). Fifty-one of these parents participated in qualitative interviews. Main Outcome Measures: Parents described their intentions, decision-making and planning processes towards vaccination. Framework analysis was used to analyse the data. Results: Parents in the ‘Yes/Yes’ category were knowledgeable about HPV/vaccine, described strong, stable intentions, considered themselves the primary decision-makers about vaccination and said they vaccinated immediately. ‘Yes/No’ parents described strong intentions and thought their adolescent was vaccinated OR described hesitant intentions, seeking advice/agreement from others and noting barriers to vaccination without solutions. ‘Unsure/Yes’ parents described their intentions as strengthening with information from credible sources and identified strategies for overcoming barriers. ‘Unsure/No’ and ‘Eventually/No’ parents had misinformation/negative beliefs regarding vaccination, described being ambivalent or non-supportive of vaccination and cited barriers to vaccination. ‘Never/No’ parents held negative beliefs about vaccination, described strong, stable intentions to NOT vaccinate, deferring the decision to others, and reported no planning towards vaccination. Conclusions: Intention characteristics and planning processes could moderate the vaccine intention–behaviour relationship, potentially serving as targets for future vaccine strategies.     

Factors influencing car use for commuting and the intention to reduce it: A question of self-interest or morality?

Car use for commuting contributes to various environmental and traffic problems, such as pollution and congestion. Policies aimed at reducing commuter car use will be more effective when they target important determinants of car use and willingness to reduce it. This study examined whether variables reflecting self-interest (from the theory of planned behavior [Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). Berlin: Springer]) and variables reflecting moral considerations (from the norm-activation model [Schwartz, S. H. (1977). Normative influences on altruism. In L. Berkowitz (Ed.). Advances in experimental social psychology (Vol. 10, pp. 221–279). New York: Academic Press]) were able to explain self-reported car use for commuting and intentions to reduce it in a sample of Canadian office workers. Car use for commuting was mostly explained by variables related to individual outcomes (perceived behavioral control and attitudes) whereas the intention to reduce car use was mostly explained by variables related to morality (personal norms). The study also found that perceived behavioral control moderated the relation between personal norms and behavioral intentions: stronger personal norms were associated with stronger behavioral intentions, but only when perceived behavioral control was low. Some issues evoked by these results are discussed.     

‘I feel better when…’: An analysis of the memory-experience gap for peoples’ estimates of the relationship between health behaviours and experiences

Objective: People often overestimate how strongly behaviours and experiences are related. This memory-experience gap might have important implications for health care settings, which often require people to estimate associations, such as “my mood is better when I exercise”. This study examines how subjective correlation estimates between health behaviours and experiences relate to calculated correlations from online reports and whether subjective estimates are associated with engagement in actual health behaviour.

Design: Seven-month online study on physical activity, sleep, affect and stress, with 61 online assessments.

Main Outcome Measures: University students (N = 168) retrospectively estimated correlations between physical activity, sleep, positive affect and stress over the seven-month study period.

Results: Correlations between experiences and behaviours (online data) were small (r = ?.12–.14), estimated correlations moderate (r = ?.35–.24). Correspondence between calculated and estimated correlations was low. Importantly, estimated correlations of physical activity with stress, positive affect and sleep were associated with actual engagement in physical activity.

Conclusion: Estimation accuracy of relations between health behaviours and experiences is low. However, association estimates could be an important predictor of actual health behaviours. This study identifies and quantifies estimation inaccuracies in health behaviours and points towards potential systematic biases in health settings, which might seriously impair intervention efficacy.     

Question–behaviour effect: A randomised controlled trial of asking intention in the interrogative or declarative form

Objective: This study investigated the question–behaviour effect of measuring intention in the interrogative or declarative form combined or not with a measure of moral norm.

Design: A sample of 762 participants was randomised according to a 2?×?2 factorial design.

Main outcome measures: Cognitions were assessed at the baseline, and physical activity behaviour was self-reported three weeks later. Results: At baseline, there were no significant differences on the studied variables. An ANOVA showed a significant interaction effect between the two experimental conditions (p?=?0.04). Post-hoc contrast analyses showed that the interrogative intention-only condition significantly differed from the declarative intention-only (d?=?0.21, p?=?0.03) and interrogative intention?+?moral norm (d?=?0.22, p?=?0.03) conditions.

Conclusion: Results suggest that self-posed questions about a future action increases the likelihood of doing it when these questions are not accompanied by measures of moral norm. This provides support for using introspective self-talk to favour the adoption of behaviour.     

Are microsaccades responsible for the gap effect?

Extinguishing a fixation point shortly before, or concurrently with, the onset of a peripheral visual target reduces the latency of saccades to that target. Saslow (1967) hypothesized that thisgap effect might occur because fixation point offsets reduce the incidence of corrective microsaccades with an associated saccadic refractory period. In the present study, a robust gap effect was obtained. However, using a Purkinje image eyetracker with 1 arcmin of resolution, we found that fixation point offsets had no effect on the occurrence of microsaccades and that the occurrence of microsaccades had no impact on the magnitude of the gap effect. Microsaccades therefore do not appear to play any part in the production of the gap effect.     

Does habit strength moderate the intention–behaviour relationship in the Theory of Planned Behaviour? The case of fruit consumption

The present study examined if habit strength moderated the influence of intention on fruit consumption in a Dutch adult sample (N?=?521, 46.3% males, mean age?=?34.50, SD?=?10.87), using the theoretical relations of the Theory of Planned Behaviour (TPB). TPB variables and habit strength were assessed at baseline. Fruit consumption was assessed with a validated questionnaire five weeks later. Three groups were created: low habit strength (n?=?180), medium habit strength (n?=?185) and high habit strength (n?=?156). Confirmatory factor analyses and multi-group path analyses were performed using AMOS 4.0. A good fit was obtained for the overall measurement model and the structural models. Multi-group path analyses showed that intention was a significant predictor of fruit consumption in the low habit (β?=?0.36, p?<?0.001) and medium habit group (β?=?0.30, p?<?0.001), but a non-significant predictor in the high habit group (β?=?0.05, p?=?0.596). Implications for information-based and motivation-based interventions are discussed.     

Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours

The majority of research surrounding the intervention of risky driving behaviours has operated on the notion that offending behaviour is intentional, leading to a defined theoretical approach on deterrence. This study aimed to investigate the motivations, regulatory behaviours and resisting beliefs that contribute to the occurrence of risky driving behaviours, from the perspective that some behaviour may be unintentional and habitual by nature. An online sample of Australian drivers (N = 46) were recruited to complete a qualitative phone interview regarding their perceptions of risky driving behaviours. Thematic analysis revealed that firstly, speeding and the use of technology while driving (i.e., distraction) were the most commonly reported risky driving habits. Speeding in particular appeared to be both habitual and unintentional, whereas phone use while driving was attributable to addiction, impulses and attitudes. Factors such as drivers’ mentality, the automaticity of the behaviour, and social norms were perceived to make habitual behaviours more difficult to change, whilst personal experiences with legal and physical consequences were perceived to increase risk perceptions and promote behavioural change. Participants also reported using cognitive reframing strategies and behaviours to increase and maintain awareness of the behaviours. Overall, this study has highlighted the resistant and multi-dimensional nature of risky driving habits, as well as the situational factors that preclude them. Based on the findings, future research may benefit by focusing efforts to understanding how habituality fits in the broader deterrence literature, and how such behaviours can be best intervened.     

An empirical test of five prominent explanations for the black–white academic performance gap

The viability of five prominent explanations for the black–white performance gap (“academic engagement,” “cultural capital,” “social capital,” “school quality” and “biased treatment”) is examined using NELS data and a LISREL model that adjusts for clustering of students within schools. Empirical models have typically assessed these factors individually—a practice that probably fosters overestimation of their explanatory power. School quality and biased treatment emerge as the primary explanations for black–white high school test performance differentials. Access to better-quality schools and receipt of more stimulating interpersonal “signals” from gatekeepers ensue from racial (and socioeconomic) privilege. Enhanced test performance in turn ensues from these resources. In essence, the explanations for the racial gap that place more emphasis on what black and white students “bring to” high school (i.e., specific levels of engagement, cultural and social capital), seem less consequential to performance differentials than “what happens to” them when they get there (i.e., quality of education provided, and race-contingent treatment received).     

Maternal conceptions of the parenting role and mother–child collaborative behaviours in at-risk context

This study investigated to what extent mothers' conceptions of the parenting role drive mother–child collaborative behaviour as well as expert ratings on maternal practices. It also investigated whether there is any direct link between mother and child behaviours and expert ratings. Self-report measures for maternal conceptions and observed mother–child behaviours in the shopping task were obtained from a sample of 75 at-risk mothers with a child 8 to 12 years old. Social workers reported on mothers' negligent, coercive and resilient practices. Structural equation models showed that high power conception had a negative influence on mother and child's collaborative efforts, whereas reciprocity and parental support conceptions had a positive influence. Reciprocity, low power and parental support schemas consistently predicted experts' view on maternal practices. However, only mother's passivity predicted negatively expert ratings on resilient practice, indicating that expert views were mostly derived from mothers' reflections on their parenting role. Results suggested ways for improving experts' assessment of parental capacities and the use of intervention programmes to promote mothers' positive conceptions and actions.