Application of the Multi-Process Action Control Model to Predict Physical Activity During Late Adolescence

2021 ◽  
pp. 1-7
Author(s):  
Matthew Y.W. Kwan ◽  
Denver M.Y. Brown ◽  
Pallavi Dutta ◽  
Imran Haider ◽  
John Cairney ◽  
...  
Keyword(s):  
Physical Activity ◽  
School Board ◽  
Habit Formation ◽  
Late Adolescence ◽  
Action Control ◽  
Control Model ◽  
Southern Ontario ◽  
Reflective Process ◽  
Coping Planning ◽  
Explained Variance

The aim of this study was to apply the Multi-Process Action Control model to examine how the additions of regulatory and reflexive processes predict physical activity (PA) behaviors among adolescents. Our sample included 1,176 Grade 11 students (Mage = 15.85 ± 0.38) recruited from a large school board in Southern Ontario. Participants completed a questionnaire including measures of self-reported PA and PA cognitions derived from the Multi-Process Action Control model. Results found the reflective process explaining 16.5% of the variance in PA, with the additions of regulatory and reflexive processes significantly improving the explained variance by 5.1% and 8.2%, respectively. Final models revealed coping planning (estimate = 45.10, p = .047), identity (estimate = 55.82, p < .001), and habit (estimate = 64.07, p < .001) as significant predictors of PA. Findings reinforce the need for integrative models to better understand PA, with coping planning, habit formation, and development of an active identity to be salient targets for intervention during adolescence.

Factors for Habit Formation of Physical Activity

2017 ◽  
Vol 1 (2) ◽  
pp. 21-27
Author(s):  
Yoongu Lee ◽  
Yong-Jin Yoon ◽  
Sibak Sung
Keyword(s):  
Physical Activity ◽  
Habit Formation

scholarly journals Long-Term and Transfer Effects of an Action Control Intervention in Overweight Couples: A Randomized Controlled Trial Using Text Messages

2021 ◽  
Vol 12 ◽  
Author(s):  
Corina Berli ◽  
Urte Scholz
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Text Messaging ◽  
Vigorous Physical Activity ◽  
Action Control ◽  
Text Messages ◽  
Control Group ◽  
Transfer Effects ◽  
Control Intervention

Keeping a physically active lifestyle requires consistent self-regulatory effort such as action control (e.g., continuously monitoring and evaluating a behavior in terms of one’s goals). Involving the romantic partner in interventions might be particularly effective in the long run. The present study examined the long-term and transfer effects of an action control intervention in couples using text messaging for promoting target persons’ and partners’ physical activity, anthropometric measures and physical fitness 6 months post baseline. A total of 121 overweight and obese romantic couples, randomly allocated to an intervention (n = 60; information + action control text messages) or a control group (n = 61; information only) and to participating as target person or partner, completed baseline assessments (T1). 100 couples (82.6%) completed the 6-month follow-up (T3) assessment. Primary outcomes included self-reported moderate-to-vigorous physical activity (MVPA) and objective MVPA and MVPA adherence using triaxial accelerometers across a diary period of 14 days after T3. Secondary outcomes included BMI, waist-to-hip circumference and physical fitness (target persons only) using a submaximal aerobic cycle test. At T3, there were no significant between-group differences between target persons and partners with regard to their objective MVPA, self-reported MVPA, BMI, waist-hip ratio or physical fitness. No significant changes in outcomes were observed from T1 to T3; however, changes in BMI from T1 to T3 between target persons and partners in the intervention group were associated. Overall, the brief 14-days action control intervention was not effective in improving target person’s physical activity, body measures and physical fitness in the long-term. Moreover, no long-term benefits for partners emerged. While brief ecological momentary interventions might be a promising tool for short-term effects, future studies are needed to test features enhancing long-term effectiveness. Associations in romantic partners’ changes suggest that dyadic interventions can be a promising approach, as changes induced in one partner may then transfer over to the other (controlled-trials.com ISRCTN15705531).

scholarly journals Eveningness associates with lower physical activity from pre- to late adolescence

2020 ◽  
Vol 74 ◽  
pp. 189-198 ◽  
Author(s):  
Ilona Merikanto ◽  
Liisa Kuula ◽  
Jari Lahti ◽  
Katri Räikkönen ◽  
Anu-Katriina Pesonen
Keyword(s):  
Physical Activity ◽  
Late Adolescence ◽  
Lower Physical Activity

Exploring cues to sedentary behaviour as processes of physical activity action control

2008 ◽  
Vol 9 (2) ◽  
pp. 211-224 ◽  
Author(s):  
Ryan E. Rhodes ◽  
Chris M. Blanchard ◽  
Kai H. Bellows
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Action Control

scholarly journals Habit in the Physical Activity Domain: Integration With Intention Temporal Stability and Action Control

2010 ◽  
Vol 32 (1) ◽  
pp. 84-98 ◽  
Author(s):  
Ryan Rhodes ◽  
Gert-Jan de Bruijn ◽  
Deborah H. Matheson
Keyword(s):  
Physical Activity ◽  
Undergraduate Students ◽  
Temporal Stability ◽  
Action Control ◽  
Domain Integration ◽  
And Behavior ◽  
Additional Variance ◽  
Physical Activity Domain

The purpose of this study was to explore the role of habit in predicting physical activity with the theory of planned behavior (TPB). The study extended previous research by (a) including a measure of temporal intention stability in the regression equation, and (b) unpacking the intention × behavior × habit relationship. Participants were 153 undergraduate students who completed a habit measure and measures of the TPB at Time 1 followed by measures of intention and behavior 2 weeks later. Results using regression analysis demonstrated that habit explained 7% additional variance after accounting for the TPB and temporal stability of intention and its interaction with intention. Follow-up analyses showed considerable asymmetry in the three-way relationship between intention, behavior, and habit, where high habit participants were composed primarily of intenders (i.e., intended to be active >3 times/week at 30 min) who engaged in regular physical activity (70%, n = 28) and low habit participants were inactive nonintenders (i.e., did not intend to be active >3 times/week at 30 min and were subsequently not active; 69%, n = 25). The results support the notion that some properties of physical activity may have an automatic component and that habits may be important to physical activity action control.

Mediating Mechanisms in a Physical Activity Intervention: A Test of Habit Formation

2018 ◽  
Vol 40 (2) ◽  
pp. 101-110 ◽  
Author(s):  
Navin Kaushal ◽  
Ryan E. Rhodes ◽  
John T. Meldrum ◽  
John C. Spence
Keyword(s):  
Physical Activity ◽  
Habit Formation ◽  
Physical Activity Intervention ◽  
Mediating Mechanisms

scholarly journals Promoting action control and coping planning to improve hand hygiene

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Benjamín Reyes Fernández ◽  
Sonia Lippke ◽  
Nina Knoll ◽  
Emanuel Blanca Moya ◽  
Ralf Schwarzer
Keyword(s):  
Hand Hygiene ◽  
Action Control ◽  
Improve Hand Hygiene ◽  
Coping Planning ◽  
And Coping
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