Action planning and coping planning for long-term lifestyle change: theory and assessment

Aim The present study (PTDC/SAU-SAP/110799/2009) funded by the Portuguese Government (Fundação para a Ciência e Tecnologia – FCT) aimed to test the effectiveness of a behaviour based intervention combined with a cognitive based one, designed to increase physical activity levels in older adults at Primary Health Care Centres. Method A total of 108 participants aged over 65 years participated in the study. Participants were referred by their General Practitioner (GP) and randomized by gender and marital status at the moment they started the program (single vs. couple), and allocated into one of three conditions: goal intention, action planning, action planning and coping planning. All participants received a pedometer and a logbook and were asked to register their daily number of steps for a period of 24 weeks. Study follows a longitudinal design with five assessments over a 6-month after baseline. Results The test between subjects’ effects revealed an interaction between condition and participating in the study as single vs. couple. Older adults participating as singles walked more steps on average in the condition goal intention plus action planning and coping planning, whereas participants that entered in the study with their spouse, goal intention without any other planning intervention was the most effective intervention. Conclusion The 24-week physical activity program based on the recent developments of behavioural-cognitive framework, has proven useful increasing older adults daily walking behaviour.

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Applicability of action planning and coping planning to dental flossing among Norwegian adults: a confirmatory factor analysis approach

European Journal Of Oral Sciences ◽

10.1111/j.1600-0722.2008.00538.x ◽

2008 ◽

Vol 116 (3) ◽

pp. 250-259 ◽

Cited By ~ 7

Author(s):

Anne Nordrehaug Åstrøm

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Action Planning ◽

Analysis Approach ◽

Coping Planning ◽

Confirmatory Factor ◽

And Coping

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Spontaneous and experimentally induced action planning and coping planning for physical activity: A meta-analysis

Psychology of Sport and Exercise ◽

10.1016/j.psychsport.2012.10.004 ◽

2013 ◽

Vol 14 (2) ◽

pp. 228-248 ◽

Cited By ~ 108

Author(s):

Natasha Carraro ◽

Patrick Gaudreau

Keyword(s):

Physical Activity ◽

Meta Analysis ◽

Action Planning ◽

Coping Planning ◽

And Coping ◽

Experimentally Induced

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Corrigendum to “Spontaneous and experimentally induced action planning and coping planning for physical activity: A meta-analysis” [Psychol Sport Exerc 14 (2013) 228–248]

Psychology of Sport and Exercise ◽

10.1016/j.psychsport.2014.01.002 ◽

2014 ◽

Vol 15 (3) ◽

pp. 311-318

Author(s):

Natasha Carraro ◽

Patrick Gaudreau

Keyword(s):

Physical Activity ◽

Meta Analysis ◽

Action Planning ◽

Coping Planning ◽

And Coping ◽

Experimentally Induced

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Predicting Hand Washing and Sleep Hygiene Behaviors among College Students: Test of an Integrated Social-Cognition Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17041209 ◽

2020 ◽

Vol 17 (4) ◽

pp. 1209 ◽

Cited By ~ 6

Author(s):

Chun-Qing Zhang ◽

Rongyu Fang ◽

Ru Zhang ◽

Martin S. Hagger ◽

Kyra Hamilton

Keyword(s):

College Students ◽

Self Efficacy ◽

Behavioral Control ◽

Action Planning ◽

Sleep Hygiene ◽

Hand Washing ◽

Perceived Behavioral Control ◽

Direct Effects ◽

Coping Planning ◽

And Coping

Objective: Hand washing and sleep hygiene are two important health behaviors. The purpose of the current study was to identify the motivational and volitional antecedents of college students’ hand washing and sleep hygiene behaviors based on an integrated model of behavior that combined social-cognition constructs from the Theory of Planned Behavior (TPB) and Health Action Process Approach (HAPA). Methods: Using a prospective design, college students (N = 1106) completed a survey assessing the motivational constructs of action self-efficacy, attitudes, subjective norm, perceived behavioral control, intentions, and behaviors of hand washing and sleep hygiene at Time 1. Demographic variables were also collected. One month later, at Time 2, college students (N = 524) self-reported on their volitional factors of maintenance self-efficacy, action planning, coping planning, and behaviors of hand washing and sleep hygiene. A further 2 months later, at Time 3, college students (N = 297) were asked to self-report on their hand washing and sleep hygiene behaviors over the past month. Findings: Data were analyzed using variance-based structural equation modelling. Results showed significant direct effects of attitudes, subjective norm, and perceived behavioral control on intentions; significant direct effects of action self-efficacy on maintenance self-efficacy; and significant direct effects of maintenance self-efficacy on action planning and coping planning. Significant direct effects of intention on action planning (sleep hygiene only), and significant direct effects of intention, maintenance self-efficacy (hand washing only), action and coping planning on behavior were also observed. Action planning also moderated the intention–behavior relationship, but only for hand washing. There were also significant total indirect effects of action self-efficacy on behavior mediated by maintenance self-efficacy, action planning, and coping planning for both behaviors, and significant total indirect effects of subjective norm and perceived behavioral control on behavior mediated by intention for sleep hygiene. When past behavior was included in the integrated model predicting all the psychological variables and behavior, all of the structural relations were attenuated. Discussion: Current findings indicate that college students’ hand washing and sleep hygiene behaviors are a function of both motivational and volitional factors. Findings also indicate that the TPB and HAPA pathways might differ for the two health behaviors. Implications of the current findings for future health interventions aimed at improving college students’ hand washing and sleep hygiene are discussed.

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The role of planning in increasing exercise frequency and exercise habit development

10.31234/osf.io/9uq74 ◽

2020 ◽

Author(s):

Alexander Gant

Keyword(s):

Experimental Study ◽

Action Planning ◽

Exercise Behavior ◽

Exercise Frequency ◽

Exercise Habits ◽

Exercise Habit ◽

Coping Planning ◽

And Coping

A proposed experimental study investigating the role of action planning and coping planning in increasing the frequency of exercise behavior and the development of exercise habit. Exercise habits can take several weeks to develop, so the study is longitudinal and uses a between and within ANCOVA design.

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Quality of life of coronary artery disease patients after the implementation of planning strategies for medication adherence

Revista Latino-Americana de Enfermagem ◽

10.1590/0104-1169.0144.2519 ◽

2015 ◽

Vol 23 (1) ◽

pp. 11-19 ◽

Cited By ~ 1

Author(s):

Laura Bacelar de Araujo Lourenço ◽

Roberta Cunha Matheus Rodrigues ◽

Thaís Moreira São-João ◽

Maria Cecilia Gallani ◽

Marilia Estevam Cornélio

Keyword(s):

Quality Of Life ◽

Coronary Artery Disease ◽

Coronary Artery ◽

Medication Adherence ◽

Action Planning ◽

Coping Planning ◽

Planning Strategies ◽

Artery Disease ◽

And Coping

OBJECTIVE: to compare the general and specific health-related quality of life (HRQoL) between the Intervention (IG) and Control (CG) groups of coronary artery disease patients after the implementation of Action Planning and Coping Planning strategies for medication adherence and to verify the relationship between adherence and HRQoL.METHOD: this was a controlled and randomized study.RESULTS: the sample (n=115) was randomized into two groups, IG (n=59) and CG (n=56). Measures of medication adherence and general and specific HRQoL were obtained in the baseline and after two months of monitoring.CONCLUSION: the findings showed that the combination of intervention strategies - Action Planning and Coping Planning for medication adherence did not affect the HRQoL of coronary artery disease patients in outpatient monitoring.

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Effectiveness of the mHealth intervention ‘MyDayPlan’ to increase physical activity: an aggregated single case approach

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01163-2 ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

L. Degroote ◽

A. De Paepe ◽

I. De Bourdeaudhuij ◽

D. Van Dyck ◽

G. Crombez

Keyword(s):

Physical Activity ◽

Single Case ◽

Adult Population ◽

Self Regulation ◽

Action Planning ◽

Intervention Phase ◽

Mhealth Intervention ◽

Coping Planning ◽

Carry Over ◽

And Coping

Abstract Background e- and mHealth interventions using self-regulation techniques like action and coping planning have the potential to tackle the worldwide problem of physical inactivity. However, they often use one-week self-regulation cycles, providing support toward an active lifestyle on a weekly basis. This may be too long to anticipate on certain contextual factors that may fluctuate from day to day and may influence physical activity. Consequently, the formulated action and coping plans often lack specificity and instrumentality, which may decrease effectiveness of the intervention. The aim of this study was to evaluate effectiveness of a self-regulation, app-based intervention called ‘MyDayPlan’. “MyDayPlan’ provides an innovative daily cycle in which users are guided towards more physical activity via self-regulation techniques such as goal setting, action planning, coping planning and self-monitoring of behaviour. Methods An ABAB single-case design was conducted in 35 inactive adults between 18 and 58 years (M = 40 years). The A phases (A1 and A2) were the control phases in which the ‘MyDayPlan’ intervention was not provided. The B phases (B1 and B2) were the intervention phases in which ‘MyDayPlan’ was used on a daily basis. The length of the four phases varied within and between the participants. Each phase lasted a minimum of 5 days and the total study lasted 32 days for each participant. Participants wore a Fitbit activity tracker during waking hours to assess number of daily steps as an outcome. Single cases were aggregated and data were analysed using multilevel models to test intervention effects and possible carry-over effects. Results Results showed an average intervention effect with a significant increase in number of daily steps from the control to intervention phases for each AB combination. From A1 to B1, an increase of 1424 steps (95% CI [775.42, 2072.32], t (1082) = 4.31,p < .001), and from A2 to B2, an increase of 1181 steps (95% CI [392.98, 1968.16], t (1082) = 2.94, p = .003) were found. Furthermore, the number of daily steps decreased significantly (1134 steps) when going from the first intervention phase (B1) to the second control phase (A2) (95% CI [− 1755.60, − 512.38], t (1082) = − 3.58, p < .001). We found no evidence for a difference in trend between the two control (95% CI [− 114.59, 197.99], t (1078) = .52, p = .60) and intervention phases (95% CI [− 128.79,284.22], t (1078) = .74, p = .46). This reveals, in contrast to what was hypothesized, no evidence for a carry-over effect after removing the ‘MyDayPlan’ app after the first intervention phase (B1). Conclusion This study adds evidence that the self-regulation mHealth intervention, ‘MyDayPlan’ has the capacity to positively influence physical activity levels in an inactive adult population. Furthermore, this study provides evidence for the potential of interventions adopting a daily self-regulation cycle in general.

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