Amelie U. Wiedemann

Disentangling the relation between intentions, planning, and behaviour: A moderated mediation analysis

Action planning is assumed to mediate between intentions and health behaviours. Moreover, intentions are assumed to moderate the planning-behaviour relation, because people with high intentions are more likely to enact their plans. The present studies extend these suppositions by integrating both assumptions to a novel and parsimonious model of moderated mediation: the mediation effect is hypothesised to be stronger in individuals who report higher intention levels. In two longitudinal studies on physical activity (N = 124) and interdental hygiene (N = 209), intentions and action planning were assessed at baseline, and behaviour was measured four (Study 1), and respectively, three (Study 2) months later. The moderated mediation hypothesis was tested with continuously measured intentions using regression analyses with non-parametric bootstrapping. Results from both studies suggest that levels of intentions moderate the mediation process: The strength of the mediated effect increased along with levels of intentions. Planning mediates the intention-behaviour relation, if individuals hold sufficient levels of intentions. Implications for theory advancement and intervention development are discussed.

Self-efficacy Moderates the Mediation of Intentions Into Behavior via Plans

OBJECTIVE To examine the putative moderating role of self-efficacy in the intention-planning-behavior relationship. METHODS In N=812 individuals, intentions (independent variable) were assessed at baseline, whereas action plans (mediator), self-efficacy (moderator), and physical activity (dependent variable) were measured again 4 weeks later. We examined a moderated-mediation model. RESULTS Self-efficacy moderates the mediation process: the strength of the mediated effect increased along with levels of self-efficacy. The results remain valid after accounting for baseline physical activity. CONCLUSIONS For plans to mediate the intention-behavior relation, people must hold sufficiently high levels of self-efficacy. If they lack self-efficacy, planning may be in vain.

Changes in intentions, planning, and self-efficacy predict changes in behaviors: An application of latent true change modeling

Can latent true changes in intention, planning, and self-efficacy account for latent change in two health behaviors (physical activity as well as fruit and vegetable intake)? Baseline data on predictors and behaviors and corresponding follow-up data four weeks later were collected from 853 participants. Interindividual differences in change and change—change associations were analyzed using structural equation modeling. For both behaviors, similar prediction patterns were found: changes in intention and self-efficacy predicted changes in planning, which in turn corresponded to changes in behavior. This evidence confirms that change predicts change, which is an inherent precondition in behavior change theories.

Predicting transitions from preintentional, intentional and actional stages of change

Stage theories of health behavior change assume that individuals pass through qualitatively different stages on their way to the adoption of health behaviors. Three common stages (preintention, intention and action) can be defined by stage transitions included in current stage theories and supported by evidence. The present study examines whether transitions between these stages can be predicted by social cognition variables derived from prevailing health behavior theories. At two points in time, the motivation for interdental hygiene behaviors and oral self-care was assessed in 288 participants recruited in dental practices. Stage progression and regression over time were analyzed using discriminant function analysis. Progression from preintention to intention was predicted by action planning, whereas coping planning and self-efficacy predicted transitions from intention. Regression from action was predicted by self-efficacy. Results support the distinction of three common stages. Findings are discussed in terms of their contribution to health behavior theory.

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.

Prediction of stage transitions in fruit and vegetable intake

Stage theories propose that individuals pass through different stages on their way toward behavior change. The present study examines stage-specific prediction patterns of social-cognitive variables (risk perception, outcome expectancies, perceived self-efficacy, action planning and social support) regarding transitions between the three stages of the Health Action Process Approach (HAPA; preintention, intention and action stage). In an online study (n = 494) on fruit and vegetable intake, social-cognitive variables and stages were assessed at baseline and stage transitions 4 weeks later. Transitions between the preintention, intention and action stage were predicted by social-cognitive variables using binary and multinomial logistic regression analyses. Stage-specific prediction patterns emerged for stage progression and stage regression. Outcome expectancies predicted progression from the preintention stage, whereas social support predicted progression to the action stage. Low levels of planning were associated with relapse to the preintention and the intention stage. Self-efficacy emerged as a universal predictor of stage transitions. Findings support not only the usefulness of the stage construct for describing health behavior change but also the validity of the HAPA variables as predictors of stage transitions. Stage-matched interventions targeting the variables identified as stage-specific predictors might support stage progression toward the goal behavior.

Differential effects of planning and self-efficacy on fruit and vegetable consumption

To change dietary behaviors, people must be motivated to do so. But intentions often do not translate into behavior. Strategic planning (as a mediator) is expected to move people from intention to action. However, individuals who lack perceived self-efficacy might fail to apply their plans when encountering challenging situations. Thus, self-efficacy might operate as a moderator variable when it comes to studying the mediator effects of planning on behaviors. This study examines the interactive role of planning and self-efficacy in the context of dietary changes. A longitudinal sample of 411 employees was surveyed twice in terms of their fruit and vegetable consumption over a 4-week interval. Intentions, planning, and fruit and vegetable consumption were specified as a mediator chain with self-efficacy as a moderator at two stages of the putative change process. Baseline behavior served as a covariate in the model. Intentions were translated into dietary behavior by planning. Self-efficacy moderated this mediation at the second stage, reflected by a planning x self-efficacy interaction on fruit and vegetable consumption. The strength of the mediated effect increased along with levels of self-efficacy. Individuals with very low self-efficacy did not benefit from planning. If a person lacks self-efficacy, planning does not seem to translate intentions into fruit and vegetable consumption.

Effects of a short behavioural intervention for dental flossing: randomized‐controlled trial on planning when, where and how

AIM Regular dental flossing has been widely recommended to prevent periodontal diseases. Nevertheless, compliance is below a desirable level. This study evaluates the effects of a brief behavioural intervention on dental flossing and determines whether the effects of such an intervention are stronger in a specific subgroup of individuals (those intending to floss regularly=implemental mindset). MATERIALS AND METHOD Behavioural intervention (planning when, where and how to floss) trial was conducting with 194 participants assigned to an intervention or a control group by a random time schedule; the primary outcome was validated self-report of flossing behaviour. Follow-up data were collected 2 and 8 weeks post-intervention. RESULTS Individuals receiving the planning intervention significantly outperformed those in the control condition at both the 2- and the 8-week follow-up (4.24 times flossing/week versus 3.9 at 2 weeks; 4.02 versus 2.98 at 8 weeks). Intervention effects were stronger in individuals in the implemental mindset. Dropout rates were higher for participants who received the planning intervention but were not in the implemental mindset. CONCLUSION Planning interventions are an economic and effective way to change oral self-care behaviour, and are more effective in individuals in an implemental mindset.

Translating intentions into nutrition behaviors via planning requires self-efficacy: evidence from Thailand and Germany.

A first step towards the improvement of daily dietary behaviors is forming an intention to change ones nutrition. However, an intention by itself is not sufficient for successful action. Rather, to translate intentions into behavior, careful planning is recommended. Thus, planning constitutes a mediator between the intention and the behavior. However, if a person lacks self-efficacy, this mediation might fail. Previous research in Costa Rica and South Korea has identified perceived self-efficacy as a moderator of the intention-planning-behavior relationship. To examine further the moderator role of self-efficacy, two additional studies were designed in Thailand and Germany. Study 1 surveyed 1718 Thai university students in terms of a low-fat diet; Study 2 surveyed 1140 German internet users in terms of their fruit and vegetable consumption at two measurement points in time, 6 months apart. Intentions served as predictor, planning as mediator, self-efficacy as moderator, and behaviors as outcomes. First, intentions were translated into nutrition behaviors by planning. Second, self-efficacy moderated this mediation in both studies: The strength of the mediated effect increased along with levels of self-efficacy, even when accounting for baseline behaviors. For planning to mediate the intention-behavior relation, people must not harbor self-doubts. If they lack self-efficacy, intentions are not well translated into nutrition behavior through planning.

Cross-behavior associations and multiple health behavior change: A longitudinal study on physical activity and fruit and vegetable intake

This study aimed to examine the interrelation of physical activity and fruit and vegetable intake. The influence of stage congruence between physical activity and fruit and vegetable intake on multiple behavior change was also investigated. Health behaviors, social-cognitions, and stages of change were assessed in 2693 adults at two points in time. Physical activity and fruit and vegetable intake were assessed 4 weeks after the baseline. Social-cognitions, stages as well as stage transitions across behavior domains were positively interrelated. Stage congruence was not related to changes in physical activity and fruit and vegetable intake. Physical activity and nutrition appear to facilitate rather than hinder each other. Having intentions to change both behaviors simultaneously does not seem to overburden individuals.