What contributes to action plan enactment? Examining characteristics of physical activity plans

App-based meditation habits maintain reductions in depression symptoms among autistic adults

LAY ABSTRACT

Existing research has identified an increased risk of depression among autistic adults, which can negatively impact their adaptive functioning abilities and socioeconomic outcomes. Mobile app-based meditation is a feasible, accessible, and effective self-care solution for depression among neurotypical adults, but there is limited evidence for the long-term benefits of app-based meditation among autistic adults. Habits are a key behavioral strategy for maintaining behavior change, and anchoring is one effective habit formation intervention that has yet to be tested among autistic adults. This study demonstrates that it is both feasible and effective to integrate the anchoring habit formation strategy into an app-based meditation intervention for establishing meditation habits among autistic adults. In addition, the study shows that app-based meditation habits were successful at maintaining reductions in depressive symptoms over 6 months. These results demonstrate the power of anchoring-based habit formation interventions for establishing healthy habits among autistic adults, which offers a promising behavioral intervention technique for establishing other healthy habits among autistic adults. The study also shows that app-based meditation habits are an effective long-term self-care solution for managing depressive symptoms among autistic adults that should be used by mental health providers and policymakers. Future research should test this combined anchoring and app-based meditation intervention technique among larger samples of autistic adults and over longer durations to better understand the mechanisms underlying the success of this intervention.

The relationship of affective and bodily states with goals and plans to increase physical activity: An 8-day study in students

Planning is an important tool to translate intentions into physical activity (PA) behavior. Affective and bodily states are known to influence how much PA individuals perform, but their impact on to formulation of PA plans is not yet known. The aim of the current study is to explore the effect of within- and between-subject variations in affective and bodily states on the content of PA goals and plans. Over eight consecutive days, 362 students created action and coping plans to achieve their daily PA goals. They also reported their affective and bodily states. Generalized linear mixed effect models were used to analyze the associations between these states and the content of the goals and plans. The results showed that both between- and within-subject variations in affective and bodily states were associated with goals formulated in terms of minutes, the intensity and context of planned activities, and anticipated barriers, though more effects were found for within-subject differences. Affective and bodily states impact daily PA goals and plans, highlighting the dynamic nature of planning. Our findings can be a first step toward personalized suggestions for goals, action plans, and coping strategies that are based on individual affective and bodily states.

Quantity and specificity of action-plans as predictors of weight loss: analysis of data from the Norfolk Diabetes Prevention Study (NDPS)

OBJECTIVE

Investigate associations between quantity, content and specificity of action-plans and weight loss in a diabetes prevention study.

DESIGN

Prospective cohort study nested within a randomised controlled trial. Participants completed action-planning worksheets during intervention sessions.

MAIN OUTCOME MEASURES

Action-plans were coded in terms of: number of plans set, their content, and specificity. Multivariate regression analyses assessed associations with weight loss at four-months.

RESULTS

890 planning-worksheets from 106 participants were analysed. Participants wrote a mean of 2.12 (SD = 1.20) action-plans per worksheet, using a mean of 2.20 (SD = 0.68) specificity components per action-plan. Quantity of action-plans per worksheet decreased over time (r = -0.137, p < 0.001) and increased quantity was associated with reduced specificity [r = -.215, p < 0.001]. Walking (34.9% of action-plans) and reducing high fat/sugar snacks (26.1%) were the most commonly planned lifestyle actions. In multivariate modelling, increased quantity of action-plans was associated with greater weight loss (R2 = 0.135, Unstandardised Beta = 0.144, p = 0.002). Specificity was not significantly associated with weight-loss (p = 0.096).

CONCLUSION

Producing more action-plans was associated with greater weight loss. Further research should directly compare more versus less specific action-plans and explore ways to sustain engagement in action-planning. Our findings imply that participants should freely set numerous action-plans, rather than being encouraged to focus on specificity.

Supplemental data for this article is available online at https://doi.org/10.1080/08870446.2022.2055026 .

Building on Existing Classifications of Behavior Change Techniques to Classify Planned Coping Strategies: Physical Activity Diary Study

BACKGROUND

When trying to be more physically active, preparing for possible barriers by considering potential coping strategies increases the likelihood of plan enactment. Digital interventions can support this process by providing personalized recommendations for coping strategies, but this requires that possible coping strategies are identified and classified. Existing classification systems of behavior change, such as the compendium of self-enactable techniques, may be reused to classify coping strategies in the context of physical activity (PA) coping planning.

OBJECTIVE

This study investigated whether coping strategies created by a student population to overcome barriers to be physically active can be mapped onto the compendium of self-enactable techniques and which adaptations or additions to the frameworks are needed.

METHODS

In total, 359 Flemish university students created action and coping plans for PA for 8 consecutive days in 2020, resulting in 5252 coping plans. A codebook was developed iteratively using the compendium of self-enactable techniques as a starting point to code coping strategies. Additional codes were added to the codebook iteratively. Interrater reliability was calculated, and descriptive statistics were provided for the coping strategies.

RESULTS

Interrater reliability was moderate (Cohen κ=0.72) for the coded coping strategies. Existing self-enactable techniques covered 64.6% (3393/5252) of the coded coping strategies, and added coping strategies covered 28.52% (n=1498). The remaining coping strategies could not be coded as entries were too vague or contained no coping strategy. The added classes covered multiple ways of adapting the original action plan, managing one's time, ensuring the availability of required material, and doing the activity with someone else. When exploring the data further, we found that almost half (n=2371, 45.1%) of the coping strategies coded focused on contextual factors.

CONCLUSIONS

The study's objective was to categorize PA coping strategies. The compendium of self-enactable techniques addressed almost two-thirds (3393/5252, 64.6%) of these strategies, serving as valuable starting points for classification. In total, 9 additional strategies were integrated into the self-enactable techniques, which are largely absent in other existing classification systems. These new techniques can be seen as further refinements of "problem-solving" or "coping planning." Due to data constraints stemming from the COVID-19 pandemic and the study's focus on a healthy Flemish student population, it is anticipated that more coping strategies would apply under normal conditions, in the general population, and among clinical groups. Future research should expand to diverse populations and establish connections between coping strategies and PA barriers, with ontologies recommended for this purpose. This study is a first step in classifying the content of coping strategies for PA. We believe this is an important and necessary step toward digital health interventions that incorporate personalized suggestions for PA coping plans.

Specificity, frequency, and intent: Multiple characteristics of adolescents' suicide plan correlate with their history of suicidal behavior

BACKGROUND

Suicide plans (SP) can be a common precipitant to suicidal behavior (SB) during adolescence, and SPs can vary in how specific they are, how frequently they are thought about, and how strongly they are intended to be enacted. To date, we have limited understanding of how discrete SP characteristics (i.e., specificity, frequency, and intent to act) present among adolescents, and whether they relate to SB. In the current study, we investigated SP characteristics and their association with SB history among adolescents who had previously considered suicide.

METHODS

Participants were 142 community-based adolescents (14-19 years; M = 17.6, SD = 1.4) who reported a history of suicidal ideation. Adolescents provided responses pertaining to their SP history, SP characteristics, and SB history, via the Self-Injurious Thoughts and Behaviors Interview-Revised (SITBI-R).

RESULTS

Greater specificity, frequency, and intent were each associated with modestly increased odds of reporting an SB history. The associations between plan specificity and SB history, as well as between frequency of thinking about one's SP and SB history, were mediated by adolescents' intent to act on their SP.

CONCLUSIONS

It may not only be whether, but how, adolescents plan for suicide that relates to their tendency to engage in SB.

Combatting negative bias: a mental contrasting and implementation intentions online intervention to increase help-seeking among individuals with elevated depressive symptomatology

Background

There are many reasons why individuals with depression may not seek help. Among those with elevated depressive symptomatology, some previous interventions aimed at increasing help-seeking have unintentionally decreased help-seeking intentions. Beck's cognitive theory of depression posits that individuals with elevated depressive symptomatology process information differently from those without depression (i.e., increased cognitive errors, negative bias); potentially explaining the iatrogenic results of previous interventions. Mental contrasting and implementation intentions (MCII; a self-regulatory strategy) interventions have successfully influenced physical and mental health behaviors. However, MCII has not been used specifically for initiating help-seeking for depression. The goal of this research was to ascertain whether an online MCII intervention could increase actual help-seeking or the intention to seek help for depression.

Method

Two online randomized pre-post experiments were conducted to measure the primary outcome measures 2 weeks post-intervention (Study 1 collected Summer 2019: information-only control ["C"], help-seeking MCII intervention ["HS"], and comparison MCII intervention ["E"]; Study 2 collected Winter 2020: "C" and "HS"). At Time 1, adults recruited from MTurk had a minimum Beck Depression Inventory (BDI-II) score of 14 (mild depressive symptoms) and were not seeking professional help.

Results

Study 1 (N = 74) indicated that the intervention was feasible, provided preliminary support, and clarified intervention components for Study 2. Study 2 (N = 224) indicated that the HS group reported greater intentions to seek help and actual help-seeking than the C group. Proportionally, actual help-seeking was more likely among individuals who received the HS intervention and either did not perceive themselves as depressed at Time 2 or had BDI-II scores indicating that their depressive symptomatology decreased from Time 1.

Limitations

Participation was limited to US residents who self-reported data.

Discussion

These studies indicate that a brief online MCII intervention to encourage help-seeking is feasible and preliminarily successful. Future studies should consider using ecological momentary assessment measurements to establish the temporal precedence of intervention effects and whether MCII is effective for encouraging help-seeking among individuals prone to experiencing cognitive errors who may not be experiencing negative bias (e.g., bipolar disorder or anxiety). Clinicians may find this method successful in encouraging ongoing treatment engagement.

The Relationship Between How Participants Articulate Their Goals and Accomplishments and Weight Loss Outcomes: Secondary Analysis of a Pilot of a Web-Based Weight Loss Intervention

BACKGROUND

In behavioral weight loss interventions, participants are asked to set weekly goals to support long-term habits that lead to weight loss. Although participants are asked to set and accomplish weekly goals, we do not know how often they do this and whether doing so is associated with weight loss. Web-based weight loss interventions allow for the analysis of participant engagement data, including how participants articulate their goals and accomplishments.

OBJECTIVE

Using engagement data from a web-based weight loss intervention, we examined whether participants articulating their goals and accomplishments in measurable and repeating terms were associated with greater weight loss.

METHODS

Adults with overweight or obesity received a 12-week Facebook-delivered weight loss intervention based on the Diabetes Prevention Program Lifestyle Intervention. Participants replied to conversation threads that queried about their goals and accomplishments. Two independent coders classified participants' posts that articulated goals or accomplishments as measurable or repeating. Crude and age-adjusted linear regression models were used to examine the relationship between the frequency of post type and percent weight loss.

RESULTS

Participants (N=53; n=48, 91% female; n=48, 91% non-Hispanic White) were on average 46.2 (SD 10.5) years old with a mean BMI of 32.4 (SD 4.8) kg/m2. Over 12 weeks, participants shared a median of 4 (IQR 1-8) posts that reported goals and 10 (IQR 4-24) posts that reported accomplishments. Most participants shared ≥1 post with a goal (n=43, 81%) and ≥1 post with an accomplishment (n=47, 89%). Each post reporting a goal was associated with 0.2% greater weight loss (95% CI -0.3% to 0.0%). Sharing ≥1 post with a repeating goal was associated with an average of 2.2% greater weight loss (95% CI -3.9% to -0.4%). Each post with a repeating goal was associated with an average of 0.5% greater weight loss (95% CI -1.0% to 0.0%). Sharing ≥1 post with measurable and repeating goals was associated with an average of 1.9% greater weight loss (95% CI -3.7% to -0.2%). Sharing each post with an accomplishment was associated with an average of 0.1% greater weight loss (95% CI -0.1% to 0.0%). Every post with an accomplishment that was repeating was associated with an average of 0.2% greater weight loss (95% CI -0.3% to 0.0%). Sharing other types of goals and accomplishments was not associated with weight loss.

CONCLUSIONS

In a web-based weight loss intervention, stating goals in repeating or both measurable and repeating terms was associated with greater weight loss, but simply stating them in measurable terms was not. For accomplishments, only those articulated in repeating terms were associated with greater weight loss. Posts about one-time goals and accomplishments represent an opportunity to encourage planning for future behaviors. Future research should examine if stating goals and accomplishments in repeating terms signals habit formation.

Automaticity mediates the association between action planning and physical activity, especially when autonomous motivation is high

OBJECTIVES

Action planning promotes physical activity (PA). However, mechanisms underlying this association are poorly understood, as are the variables that moderate this link remain unexplored. To fill these gaps, we investigated whether automaticity mediated the association between action planning and PA, and whether autonomous motivation moderated this mediation.

METHODS AND MEASURES

PA was measured by accelerometry over seven days among a sample of 124 adults. Action planning, automaticity, and autonomous motivation were assessed by questionnaires.

RESULTS

Structural equation models revealed that automaticity mediated the association between action planning and PA (total effect, β = .29, p < .001) - action planning was associated with automaticity (a path, β = .47, p < .001), which in turn related to PA (b path, β = .33, p = .003). Autonomous motivation moderated the a path (β = .16, p = .035) - action planning was more strongly associated with automaticity when autonomous motivation was high (+1 standard-deviation [SD]) (unstandardized b = 0.77, p < .001) versus low (-1 SD) (b = 0.35, p = .023).

CONCLUSION

These findings not only support that action planning favors an automatic behavioral regulation, but also highlight that a high autonomous motivation toward PA may reinforce this mechanism.

The effect of forming implementation intentions on alcohol consumption: A systematic review and meta-analysis

ISSUES

Meta-analysis was used to estimate the effect of forming implementation intentions (i.e., if-then plans) on weekly alcohol consumption and heavy episodic drinking (HED). Sample type, mode of delivery, intervention format and timeframe were tested as moderator variables.

APPROACH

Cochrane, EThOS, Google Scholar, PsychArticles, PubMed and Web of Science were searched for relevant publications to 31 March 2021. Random-effects meta-analysis was used to estimate the effect size difference (d) between individuals forming versus not forming implementation intentions on weekly consumption and HED.

KEY FINDINGS

Sixteen studies were included in meta-analyses. The effect size difference for forming implementation intentions on weekly alcohol consumption was d₊  = -0.14 confidence interval (CI) [-0.24; -0.03]. Moderator analyses highlighted stronger effects for: (i) community (d₊  = -0.38, CI [-0.58; -0.18]) versus university (d₊  = -0.04, CI [-0.13; 0.05]) samples; (ii) paper (d₊  = -0.26, CI [-0.43; -0.09]) versus online (d₊  = -0.04, CI [-0.14; 0.06]) mode of delivery; and (iii) volitional help sheet (d₊  = -0.34, CI [-0.60; -0.07]) versus implementation intention format (d₊  = -0.07, CI [-0.16; 0.02]). In addition, effects diminished over time (B = 0.02, SE = 0.01, CI [0.03; 0.01]). Forming implementation intentions had a null effect on HED, d₊  = -0.01 CI [-0.10; 0.08].

IMPLICATIONS

Forming implementation intentions reduces weekly consumption but has no effect on HED.

CONCLUSION

This review identifies boundary conditions on the effectiveness of implementation intentions to reduce alcohol consumption. Future research should focus on increasing the effectiveness of online-delivered interventions and integrating implementation intention and motivational interventions.

Uptake of planning as a self-regulation strategy: Adolescents' reasons for (not) planning physical activity in an intervention trial

OBJECTIVES

Planning is an effective self-regulation strategy. However, little is known why some people take up planning and some do not. Such understanding would help interventions to promote planning. We investigated how adolescents explain their (non) use of planning for physical activity after an intervention.

METHODS

Qualitative content analysis was employed to investigate follow-up interviews (a purposeful sampling; n = 19 low-to-moderately active, vocational school students) of Let's Move It trial participants twice post-intervention: 6-8 weeks and 14 months post-baseline. In the intervention, planning was one of the key techniques used to promote PA.

RESULTS

We identified seven categories linked to reasons for (not) using planning. Most were related to feelings anticipated to result from planning. Action- and identity-related concerns were also raised. The reasons for planning were that the plan (1) helps to clarify what to do and to get things done, (2) strengthens the feeling of autonomy, (3) promotes a sense of progress, ability and control over one's PA. The reasons for not planning were that (having) a plan may (1) feel forced and like an unpleasant duty, (2) take away life's spontaneity and freedom, (3) result in anticipated annoyance and bad mood if one fails to enact the plan, or (4) be an effective strategy for others but not for the interviewee.

CONCLUSIONS

Planning may not only link to behavioural control but also the sense of autonomy, and thus subsequent motivation. We suggest various strategies to promote planning, including challenging non-planner identity and harnessing social dimension of planning.

One SMS a day keeps the stress away? A just-in-time planning intervention to reduce occupational stress among apprentices

BACKGROUND

Occupational stress is one of the main sources of stress in apprentices with physical and psychological health consequences. Just-in-time planning interventions (JITPIs) are one opportunity to deliver intervention components at the right times and locations to optimally support apprentices in stressful situations. The aim of this study was to test the proximal effect of a mobile phone-delivered JITPI to reduce occupational stress in 386 apprentices within a planning intervention.

METHODS

An AB/BA crossover design in which participants were randomly allocated to (A) the planning intervention or (B) the assessment only condition was implemented.

RESULTS

The analyses of the study "ready4life", multilevel modeling, revealed no significant effect of the planning intervention on occupational stress reduction.

CONCLUSIONS

Possible reasons for the missing effect might be the low stress level of participants or the type of the intervention delivery. Since apprenticeships in Switzerland differ considerably, future studies should enable more adapted interventions for the apprentices and consider individual circumstances of stress. Further, the intervention should focus on apprentices with high occupational stress levels or a high-risk of stress. Studies should investigate exactly when and why a person needs support regarding her/his occupational stress. Therefore, objective measurements of stress could be helpful.

Study protocol for the description and evaluation of the "Habit Coach" - a longitudinal multicenter mHealth intervention for healthy habit formation in health care professionals

BACKGROUND

The adoption of a healthy lifestyle plays a crucial role for the health and well-being of health care professionals. Previous e- and mHealth interventions relied on deliberative psychological processes (e.g., intention, planning) to target lifestyle changes, while revealing mixed efficacy. The additional potential of non-deliberative, automatic processes (i.e., habits) for behavior change has been understudied in interventions so far. The Habit Coach mHealth intervention combines deliberative and non-deliberative processes to support health care professionals in forming healthy physical activity, nutrition and mindfulness habits in daily life. The aim of this paper is to outline the study protocol including a detailed description of the mHealth intervention, evaluation plan, and study design. The purpose of this trial is to understand healthy habit formation in health care professionals over time.

METHODS

A one-arm, multicenter mHealth intervention study will be conducted. Behavioral and psychosocial predictors will be collected via within-app questionnaires across a 100-day period at baseline, post, as well as at weekly assessments. To understand habit formation across time, linear mixed models will be used.

DISCUSSION

This trial aims to unravel the role of motivational and volitional determinants for healthy habit formation across multiple health behaviors in health care professionals embedded in a mHealth intervention.

TRIAL REGISTRATION

This trial is registered in the German Clinical Trials Register, DRKS-ID DRKS00027156. Date of registration 17 November 2021.

Realistic effort action plans (REAP) for exercise among underactive and inactive university students: A randomized trial

Objective: The efficacy of effort appraisal exercise action plans was tested among underactive and inactive university students (N = 221). Methods: Students were randomized across three conditions (information, action planning, or realistic effort action planning (REAP)) and participated in psychoeducational small-group sessions. Students returned after a three-week pedometer tracking period and at two and six months to assess self-reported exercise. Results: Greater three-week step averages were observed for the action planning and REAP conditions compared to the information condition. The information condition showed small-sized exercise increases at two and six months (d = .26, d = .35, ps < .05); the action planning condition showed a small-sized increase at six months (d = . 36, p < 05); and the REAP condition showed medium-sized increases at two and six months (d = .40, d = . 46, ps < .05). Conclusions: The findings provide initial evidence showing exercise action plans for college students might be improved with explicit appraisals of prior effort and persistence.

Plan pursuit in the context of daily fruit and vegetable consumption: The importance of cue detection and the execution of the planned behaviour for overall behaviour change

OBJECTIVES

In action planning interventions, individuals specify and link cues with behavioural responses to implement behaviour change. To date, not much is known about how and how much the detection of the planned cue (entering and identifying the planned situation) and the execution of the planned behaviour (behavioural response exactly as planned) contribute to overall behavioural changes (changes in target behaviour) achieved by individuals. Using data from an intervention on daily fruit and vegetable (FV) action planning, this study aimed to test whether individuals' cue detection and execution of the planned behaviour are positively related to overall FV intake.

DESIGN

Secondary data analyses examined diary data of the intervention condition of a randomized controlled trial. Ninety participants (80% female, aged 19-63 years) formed one FV plan and completed a 13-days post-intervention self-report diary assessing daily FV consumption and situational characteristics of each consumed FV serving. Based on these self-reports and participants' FV plan, day-to-day cue detection and the execution of the planned behaviour were coded.

METHODS

With two-level models, cue detection and the execution of the planned behaviour were examined as between- and within-person predictors of daily FV intake.

RESULTS

Higher between-person execution of the planned behaviour (+1.68 daily servings), higher-than-usual within-person cue detection (+0.46 daily servings), and higher-than-usual within-person execution of the planned behaviour (+0.29 daily servings) were associated with more overall FV intake.

CONCLUSIONS

Detecting planned cues (within-person) and executing the planned behaviour (between- and within-person) are important for overall FV intake.

What makes implementation intentions (in)effective for physical activity among older adults?

OBJECTIVES

For most populations, implementation intentions (IIs) facilitate physical activity (PA). However, for older adults, previous studies found mixed evidence for the effectiveness of this behaviour change technique. To examine which characteristics of IIs predict successful enactment, the content of older participants' IIs formed within a self-regulatory intervention to prompt PA was analysed.

DESIGN

A sample of N = 126 German speaking adults aged 64 and older formed up to six IIs for PA and reported their enactment 5 weeks later.

METHODS

Controlling for age and sex, multilevel models tested associations between characteristics of IIs (e.g., chronological rank of II, hetero- and homogeneity, specificity, presence of certain cues) and enactment.

RESULTS

Significantly related to enactment were: the chronological rank of an II (first IIs superior to last IIs), greater heterogeneity in activities, greater specificity of when-cues, and greater use of pre-existing routines.

CONCLUSIONS

Participants were more likely to enact their IIs 5 weeks later if they planned different (heterogeneous) activities, created IIs with more specific when-cues (e.g., on Monday at 9 am), and in particular a routine (e.g., after breakfast). They also enacted the first three IIs (chronological rank of II) more often than the last three IIs. Future experimental studies should test whether providing instructions to create IIs based on the above significant characteristics lead to more effective health behaviour change among older adults.

A Smartphone App to Support Sedentary Behavior Change by Visualizing Personal Mobility Patterns and Action Planning (SedVis): Development and Pilot Study

BACKGROUND

Prolonged sedentary behavior is related to a number of risk factors for chronic diseases. Given the high prevalence of sedentary behavior in daily life, simple yet practical solutions for behavior change are needed to avoid detrimental health effects.

OBJECTIVE

The mobile app SedVis was developed based on the health action process approach. The app provides personal mobility pattern visualization (for both physical activity and sedentary behavior) and action planning for sedentary behavior change. The primary aim of the study is to investigate the effect of mobility pattern visualization on users' action planning for changing their sedentary behavior. The secondary aim is to evaluate user engagement with the visualization and user experience of the app.

METHODS

A 3-week user study was conducted with 16 participants who had the motivation to reduce their sedentary behavior. Participants were allocated to either an active control group (n=8) or an intervention group (n=8). In the 1-week baseline period, none of the participants had access to the functions in the app. In the following 2-week intervention period, only the intervention group was given access to the visualizations, whereas both groups were asked to make action plans every day and reduce their sedentary behavior. Participants' sedentary behavior was estimated based on the sensor data of their smartphones, and their action plans and interaction with the app were also recorded by the app. Participants' intention to change their sedentary behavior and user experience of the app were assessed using questionnaires.

RESULTS

The data were analyzed using both traditional null hypothesis significance testing (NHST) and Bayesian statistics. The results suggested that the visualizations in SedVis had no effect on the participants' action planning according to both the NHST and Bayesian statistics. The intervention involving visualizations and action planning in SedVis had a positive effect on reducing participants' sedentary hours, with weak evidence according to Bayesian statistics (Bayes factor, BF₊₀=1.92; median 0.52; 95% CI 0.04-1.25), whereas no change in sedentary time was more likely in the active control condition (BF₊₀=0.28; median 0.18; 95% CI 0.01-0.64). Furthermore, Bayesian analysis weakly suggested that the more frequently the users checked the app, the more likely they were to reduce their sedentary behavior (BF_-0=1.49; r=-0.50).

CONCLUSIONS

Using a smartphone app to collect data on users' mobility patterns and provide real-time feedback using visualizations may be a promising method to induce changes in sedentary behavior and may be more effective than action planning alone. Replications with larger samples are needed to confirm these findings.

Habit formation following routine-based versus time-based cue planning: A randomized controlled trial

OBJECTIVES

Habit formation has been identified as one of the key determinants of behaviour change. To initiate habit formation, self-regulation interventions can support individuals to form a cue-behaviour plan and to repeatedly enact the plan in the same context. This randomized controlled trial aimed to model habit formation of an everyday nutrition behaviour and examined whether habit formation and plan enactment differ when individuals plan to enact their behaviour in response to a routine-based versus time-based cue.

DESIGN

Following a baseline assessment, N = 192 adults (aged 18-77 years) were randomly assigned to a routine-based cue or a time-based cue planning intervention, in which they selected an everyday nutrition behaviour and linked it to a daily routine or a time cue.

METHODS

Participants responded to daily questionnaires over 84 days assessing plan enactment and the behaviour's automaticity (as an indicator of habit formation). Multilevel models with days nested in participants were fitted.

RESULTS

As indicated by asymptotic curves, it took a median of 59 days for participants who successfully formed habits to reach peak automaticity. Group-level analyses revealed that both routine-based and time-based cue planning led to increases in automaticity and plan enactment, but no between-condition differences were found. Repeated plan enactment was a key predictor for automaticity.

CONCLUSIONS

Linking one's nutrition behaviour to a daily routine or a specific time was similarly effective for habit formation. Interventions should encourage persons to repeatedly carry out their planned behaviour in response to the planned cue to facilitate habit formation.

Behavior change in diabetes practitioners: An intervention using motivation, action planning and prompts

OBJECTIVES

It is important for health professionals to have behavior change skills to empower people to manage long-term-conditions. Theoretically derived, competency-based training can be particularly effective where it considers reflective and automatic routes to behavior change. The aim of this study was to develop, deliver and evaluate a motivational, action and prompting behavior change skills intervention for diabetes health practitioners in Scotland, UK.

METHODS

This was a longitudinal intervention study. A 2-day intervention was delivered to 99 health professionals. Participants set behavioral goals to change practice, completing action and coping plans post-training. Motivation and plan quality were evaluated in relation to goal achievement at 6-week follow-up.

RESULTS

Post-training, practitioners could develop high quality work-related action and coping plans, which they were motivated to enact. Although under half responded at follow-up, most reported successful goal achievement. There was no difference in plan quality for goal achievers, non-achievers and non-responders. Barriers and facilitators of behavior change included institutional, service-user and individual factors.

CONCLUSIONS

The intervention successfully used planning to implement participants' behaviour change goals.

PRACTICE IMPLICATIONS

Planning interventions are helpful to support clinicians to change their practice to help people self-manage diabetes care but may not fit demands of day-to-day clinical practice.

Acceptability and feasibility of the mHealth intervention 'MyDayPlan' to increase physical activity in a general adult population

Background

Electronic health (eHealth) and mobile health (mHealth) interventions have the potential to tackle the worldwide problem of physical inactivity. However, they often suffer from large attrition rates. Consequently, feasibility and acceptability of interventions have become important matters in the creation of e- and mHealth interventions. The aim of this study was to evaluate participants’ opinions regarding acceptability and feasibility of a self-regulation, app-based intervention called ‘MyDayPlan’. ‘MyDayPlan’ provides an innovative daily cycle providing several self-regulation techniques throughout the day that guide users towards an active lifestyle via various self-regulation techniques.

Methods

Semi-structured interviews were conducted with 20 adults after using the app for 2 weeks. A directed content analysis was performed using NVivo Software.

Results

‘MyDayPlan’ was well-received and seems to be feasible and acceptable with inactive adults. The straightforward lay out and ease of use of the app were appreciated. Furthermore, the incorporation of the techniques ‘action planning’, and ‘prompting review of behavioral goals’ was positively evaluated. However, the users gave some recommendations: implementation of activity trackers to self-monitor physical activity could be of added value. Furthermore, increasing intuitiveness by minimizing text input and providing more preprogrammed options could further increase the ease of use. Finally, users indicated that they would benefit from more guidance during the “coping planning” component (barrier identification/problem solving), for example by receiving more tailored examples.

Conclusions

Based on these findings, adaptations will be made to the ‘MyDayPlan’ app before evaluating its effectiveness. Furthermore, involving potential end users and evaluating acceptability and feasibility during the development of an e- and mHealth intervention is key. Also, creating interventions with a large ease of use and straightforward layout that provides tailored support during action and coping planning is key.

What makes a good action plan? Characteristics and enactment of fruit and vegetable plans

BACKGROUND

One promising intervention strategy to increase fruit and vegetable (FV) consumption is action planning. However, conditions of successful plan enactment, i.e., the translation of plans into action, have rarely been studied. Therefore, the relationship between plan characteristics and plan enactment is being examined.

METHODS

Secondary analyses of an existing data set were conducted, based on a larger behavioral intervention study with a baseline assessment as well as a 2-weeks and a 4-weeks follow-up. After baseline assessment, participants completed action plan calendars for the following seven days and subsequently reported on each plan's enactment. Two independent raters coded 1732 morning, noon/afternoon, and evening plans by n = 92 individuals regarding the level of specificity (unspecific vs. specific) and type of planned behavior (fruit vs. vegetable intake). To predict plan enactment, multilevel logistic regression analyses were conducted.

FINDINGS

Overall specificity of plans was unrelated to plan enactment, but interacted with time of day in predicting plan enactment. Only in the morning, specific plans were more likely being enacted than unspecific plans. Overall, plan enactment decreased during the day and throughout the seven days of the plan calendar. Furthermore, fruit plans were more likely being enacted than vegetable plans.

DISCUSSION

Specific morning plans were found most beneficial for the enactment of FV plans. Here, possible underlying mechanisms such as stable morning routines should be further investigated. Moreover, the nutritional choice appeared to make a difference for plan enactment: Increasing one's fruit consumption may be easier than integrating more vegetables into one's daily diet.

Adherence to daily dietary and activity goals set within a Māori and Pacific weight loss competition

BACKGROUND

New Zealand Pacific and Māori populations measure disproportionately high on the international body mass index (BMI). Information is needed on what behavioural weight loss goals to recommend and how to attract and retain them in interventions. Our team weight loss competition trial for participants with a BMI ≥30 used cash prizes to incentivise completion of nine daily behaviour goals. This paper evaluates the theoretical merit of and adherence to these goals.

METHODS

A qualitative component evaluation methodology was used. Trial data on team activity, demographics and anthropometric outcome data were extracted to determine frequency of daily goal completion by teams throughout the competition and to describe participant characteristics. T-tests were used to compare completion rates of the challenges, challenge completion by day of week and between weekdays and weekends. To examine adherence to the daily challenge activity over 24 weeks the total amount of completed challenges adjusted for number of active teams was plotted by week. A Body Shape Index (ABSI) was used to determine individual anthropometric change from baseline to 8, 16 and 24 weeks. Program documents were analysed to identify barriers to adherence and retention of participants.

RESULTS

Of 19 teams (N = 130) who began only five teams performed daily goals across the whole 24 weeks. Adherence was highest during the first 8 weeks. No difference in performance between goals was found suggesting they were equally viable, though tasks worth less points were performed more frequently. Goal completion was higher on weekdays. The behaviour goals appeared to have theoretical merit in that more members of high performing teams experienced a positive change in their ABSI.

CONCLUSIONS

Incentives offer a promising strategy for encouraging retention in weight loss interventions. This study suggests that participants in a competition will perform incentivised tasks. The findings however, are limited by missing data and high drop out of individuals and whole teams. Further research is needed on how to increase retention.

The Impact of Autonomy-Framed and Control-Framed Implementation Intentions on Snacking Behaviour: The Moderating Effect of Eating Self-Efficacy

BACKGROUND

Autonomy-supportive implementation intention exercises have been shown to facilitate goal-directed behaviour (Koestner et al., ). The current study explored whether eating self-efficacy moderated the impact of autonomy-framed versus control-framed implementation intentions to reduce high-calorie snack intake.

METHODS

The study employed a randomised prospective design, involving two waves of data collection conducted in 2016. At Time 1, UK participants (N = 300) completed an online questionnaire which asked them to report their snacking behaviour over the previous 7 days. Participants were subsequently asked to form either an autonomy-framed implementation intention or a control-framed implementation intention. Seven days later, participants reported their consumption of high-calorie snacks and completed a measure of eating self-efficacy.

RESULTS

Hierarchical multiple regression analysis revealed that eating self-efficacy moderated the effects of implementation intention framing. Autonomy-framed implementation intentions had a greater impact on the avoidance of snacking for high eating self-efficacy participants than did control-framed implementation intentions. In contrast, for low eating self-efficacy participants, control-framed implementation intentions had more impact than did autonomy-framed implementation intentions.

CONCLUSIONS

The results suggest that if implementation intentions to promote healthy diet are to be effective, the role of eating self-efficacy should be considered, and the design of interventions adapted accordingly.

Self-Control, Plan Quality, and Digital Delivery of Action Planning for Condom and Contraceptive Pill Use of 14-24-Year-Olds: Findings from a Clinic-Based Online Pilot Randomised Controlled Trial

BACKGROUND

Inconsistent use of the contraceptive pill and condoms contributes significantly to poor sexual health outcomes for young people. There is evidence that action planning interventions may improve pill and condom use, but this approach is not systematically used in sexual healthcare. This study is the first to assess acceptability and feasibility of evaluating a digital intervention to support action plan formation for three sexual health behaviours with clinic attendees. It also considered the role of trait self-control and whether the intervention supported production of quality plans.

METHODS

Eighty-eight integrated sexual health clinic attendees aged 14-24 years (M = 20.27 years) were recruited to a pilot randomised controlled trial (RCT). Of these, 67 also completed three-month follow-up. Measures included self-reported contraceptive or condom "mishaps", theory of planned behaviour variables, and a measure of self-control.

RESULTS

Descriptive analyses supported study acceptability and feasibility. The intervention supported pill and condom users to produce quality plans, though potential improvements were identified. Bivariate correlations suggested that high levels of trait self-control may negatively influence plan quality. Data suggest that the intervention may reduce pill or condom "mishaps".

CONCLUSIONS

A future full RCT is likely feasible and brief digital action planning interventions may usefully be incorporated within sexual healthcare.

Self-management education for rehabilitation inpatients: A cluster-randomized controlled trial

OBJECTIVE

To evaluate generic self-management modules (SelMa) as an adjunct to disease-specific educational programs during inpatient medical rehabilitation.

METHODS

A bi-center cluster-randomized controlled trial with 698 patients with coronary artery disease, metabolic syndrome, or inflammatory bowel disease was conducted. We compared two versions of SelMa, a group with 3 h or a lecture with 1 h, respectively, in addition to disease-related patient education, to usual care (only disease-related education). SelMa aims at providing skills that may help implementing health behavior. The primary outcomes were goal setting and behavior planning at discharge and goal attainment and health behavior at 6- and 12-months follow-up. Secondary outcomes included motivation, knowledge and self-management competences.

RESULTS

At discharge, SelMa group, but not SelMa lecture, proved superior to usual care regarding goal setting (p = 0.007, d = 0.26), but not behavior planning (p = 0.37, d = 0.09). Significant effects were also observed on several secondary outcomes. At later follow-up, however, no effects on primary outcomes emerged. Participants' satisfaction was higher in the group than the lecture format.

CONCLUSIONS

These short modules did not succeed in improving self-management skills in the long-term.

PRACTICE IMPLICATIONS

A self-management group may foster self-management skills in short term. Interventions should be developed to increase sustainability of effects.

Implicit attitudes and the improvement of exercise capacity during pulmonary rehabilitation

The aim of this study was to examine the role of explicit and implicit attitudes in the improvement of exercise capacity during a 5-week pulmonary rehabilitation (PR). A total of 105 patients performed walking tests at baseline and at the end of PR. Change between performances was computed at the end of PR, and Minimal-Clinically-Important-Difference (MCID) were used to categorize patients as responders (i.e. change above MCID, N = 54) or non-responders (i.e. change below MCID, N = 51). At baseline, implicit attitudes were measured through a physical activity versus sedentary behavior Implicit Association Test; explicit attitudes toward physical activity and sedentary behavior were measured by questionnaires. Only implicit attitudes significantly differed between the two groups (p = .015), responders displaying implicit attitudes significantly more in favor of physical activity (M = .91, SD = .54) than non-responders (M = .60, SD = .71) at baseline. Measuring implicit attitudes in PR could help to accurately estimate patients' motivation, and design more individualized rehabilitation programs.

Which characteristics of planning matter? Individual and dyadic physical activity plans and their effects on plan enactment

OBJECTIVE

Past research supports individual planning as an effective intervention strategy to increase physical activity in individuals. A similar strategy, dyadic planning, adds a planning partner who supports an individual's planning processes. Whether the two planning formats differ in terms of participants' entered plan content and whether and how different content characteristics are linked to plan enactment remains unknown. By investigating the content of generated plans, this study aimed at distinguishing plan characteristics of the two planning formats and examining their role as predictors of later plan enactment.

METHODS

Secondary analyses of a three-arm RCT with German couples (data collection between 2013 and 2015). Couples were assigned to an individual (IPC, n = 114) or dyadic planning condition (DPC, n = 111) and formulated up to 5 physical activity plans for a target person. Couples assigned to a control condition were not included as they did not generate plans. The following characteristics were distinguished and coded for each plan: number of planned opportunities, presence of a planned routine, planned cue- or activity-related specificity, activity-related intensity, and chronological plan rank. One week before (T0) and two weeks following (T2) the intervention (T1), increase vs. no increase of the planned activity was coded as a dichotomous plan enactment variable. Multilevel logistic regressions were fit.

RESULTS

Plan enactment was higher in dyadic than in individual planners. Findings indicated that routines (e.g., after work) were positively related to plan enactment, whereas a high specificity of when-cues (e.g., Friday at 6.30 p.m.) showed a negative relationship. None of the examined plan characteristics could explain differences in enactment between IPC and DPC.

CONCLUSIONS

Linking health behaviours to other behavioural routines seems beneficial for subsequent plan enactment. Dyadic planning was linked with higher enactment rates than individual planning. However, as mechanisms underlying this effect remain unclear, they should be investigated further.