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Modelling Longitudinal Directional Associations Between Self-regulation, Physical Activity, and Habit: Results from a Cross-lagged Panel Model.

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Title: Modelling Longitudinal Directional Associations Between Self-regulation, Physical Activity, and Habit: Results from a Cross-lagged Panel Model.
Authors: Monge-Rojas, Rafael, Godinho, Cristina Albuquerque, Reyes Fernández, Benjamín
Source: International Journal of Behavioral Medicine. Aug2021, Vol. 28 Issue 4, p466-478. 13p. 2 Diagrams, 3 Charts.
Subjects: Thought & thinking, Self-management (Psychology), Mathematical models, Cross-sectional method, Habit, Physical activity, Health behavior, Theory, Factor analysis, Statistical correlation, Longitudinal method, High school students
Abstract: Background: The directionality of associations between self-regulatory variables, behavior, and automaticity is seldomly tested. In this study, we aimed to examine a volitional, self-regulatory sequence of variables proposed in the Health Action Process Approach framework (intention → action plans → action control → behavior) and its relationship with the construct of automaticity of the physical activity habit. Methods: Longitudinal data was collected from high school students (N = 203, Mage = 15.39 (SD = 1.43), 52% women) at three measurement points. First, a confirmatory factor analysis measurement model was used to examine the study variables across measurement points. Next, a cross-lagged panel model was used to test directionality between variables. Results: After adequate fit of the measurement model was confirmed, a mechanism integrating self-regulation with behavior and automaticity was examined. The hypothesized directionality between variables was verified overall by cross-lagged analysis. However, for the intention-action plan association, the inverse relationship was found: plans were associated with subsequent intentions, but intentions did not predict plans. Moreover, automaticity was not associated with subsequent physical activity behavior. Conclusions: In general, our findings supported the hypothesized longitudinal direction of the associations, confirming that self-regulation may lead to behavior performance and automaticity. Unexpected findings and implications for intervention and future research are discussed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Modelling Longitudinal Directional Associations Between Self-regulation, Physical Activity, and Habit: Results from a Cross-lagged Panel Model.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Behavioral+Medicine%22">International Journal of Behavioral Medicine</searchLink>. Aug2021, Vol. 28 Issue 4, p466-478. 13p. 2 Diagrams, 3 Charts.
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  Data: Background: The directionality of associations between self-regulatory variables, behavior, and automaticity is seldomly tested. In this study, we aimed to examine a volitional, self-regulatory sequence of variables proposed in the Health Action Process Approach framework (intention → action plans → action control → behavior) and its relationship with the construct of automaticity of the physical activity habit. Methods: Longitudinal data was collected from high school students (N = 203, Mage = 15.39 (SD = 1.43), 52% women) at three measurement points. First, a confirmatory factor analysis measurement model was used to examine the study variables across measurement points. Next, a cross-lagged panel model was used to test directionality between variables. Results: After adequate fit of the measurement model was confirmed, a mechanism integrating self-regulation with behavior and automaticity was examined. The hypothesized directionality between variables was verified overall by cross-lagged analysis. However, for the intention-action plan association, the inverse relationship was found: plans were associated with subsequent intentions, but intentions did not predict plans. Moreover, automaticity was not associated with subsequent physical activity behavior. Conclusions: In general, our findings supported the hypothesized longitudinal direction of the associations, confirming that self-regulation may lead to behavior performance and automaticity. Unexpected findings and implications for intervention and future research are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s12529-020-09936-y
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      – SubjectFull: Habit
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      – TitleFull: Modelling Longitudinal Directional Associations Between Self-regulation, Physical Activity, and Habit: Results from a Cross-lagged Panel Model.
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              Text: Aug2021
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              Y: 2021
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