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Temporal self-regulation theory: a neurobiologically informed model for physical activity behavior.

Hall PA, Fong GT - Front Hum Neurosci (2015)

Bottom Line: Most importantly, the TST model proposes positive feedback loops linking executive function (EF) and the performance of physical activity behavior.Specifically, those with relatively stronger executive control (and optimized brain structures supporting it, such as the dorsolateral prefrontal cortex (PFC)) are able to implement physical activity with more consistency than others, which in turn serves to strengthen the executive control network itself.The TST model has the potential to explain everyday variants of incidental physical activity, sport-related excellence via capacity for deliberate practice, and variability in the propensity to schedule and implement exercise routines.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Applied Health Sciences, University of Waterloo Waterloo, ON, Canada.

ABSTRACT
Dominant explanatory models for physical activity behavior are limited by the exclusion of several important components, including temporal dynamics, ecological forces, and neurobiological factors. The latter may be a critical omission, given the relevance of several aspects of cognitive function for the self-regulatory processes that are likely required for consistent implementation of physical activity behavior in everyday life. This narrative review introduces temporal self-regulation theory (TST; Hall and Fong, 2007, 2013) as a new explanatory model for physical activity behavior. Important features of the model include consideration of the default status of the physical activity behavior, as well as the disproportionate influence of temporally proximal behavioral contingencies. Most importantly, the TST model proposes positive feedback loops linking executive function (EF) and the performance of physical activity behavior. Specifically, those with relatively stronger executive control (and optimized brain structures supporting it, such as the dorsolateral prefrontal cortex (PFC)) are able to implement physical activity with more consistency than others, which in turn serves to strengthen the executive control network itself. The TST model has the potential to explain everyday variants of incidental physical activity, sport-related excellence via capacity for deliberate practice, and variability in the propensity to schedule and implement exercise routines.

No MeSH data available.


Two possibilities for behavior change are presented: enhancing LL value or reducing SS value change. Enhancing the values attached to physical activity outcomes (by increasing salience, or making them more vivid) could raise the value curve (LL*) such that it no longer crosses the SS curve. Likewise, reducing the value of video games (by making them more difficult to access, or less normative) until the window of availability passes, could reduce temptation. Simultaneous enhancement of LL and reduction of SS could be the most efficient means for reducing likelihood of preference reversal in favor of a competing sedentary behavior.
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Figure 4: Two possibilities for behavior change are presented: enhancing LL value or reducing SS value change. Enhancing the values attached to physical activity outcomes (by increasing salience, or making them more vivid) could raise the value curve (LL*) such that it no longer crosses the SS curve. Likewise, reducing the value of video games (by making them more difficult to access, or less normative) until the window of availability passes, could reduce temptation. Simultaneous enhancement of LL and reduction of SS could be the most efficient means for reducing likelihood of preference reversal in favor of a competing sedentary behavior.

Mentions: There are several maxims that can be derived from TST when applied to physical activity promotion, some of which align with current best practices, and others that are more novel:


Temporal self-regulation theory: a neurobiologically informed model for physical activity behavior.

Hall PA, Fong GT - Front Hum Neurosci (2015)

Two possibilities for behavior change are presented: enhancing LL value or reducing SS value change. Enhancing the values attached to physical activity outcomes (by increasing salience, or making them more vivid) could raise the value curve (LL*) such that it no longer crosses the SS curve. Likewise, reducing the value of video games (by making them more difficult to access, or less normative) until the window of availability passes, could reduce temptation. Simultaneous enhancement of LL and reduction of SS could be the most efficient means for reducing likelihood of preference reversal in favor of a competing sedentary behavior.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4373277&req=5

Figure 4: Two possibilities for behavior change are presented: enhancing LL value or reducing SS value change. Enhancing the values attached to physical activity outcomes (by increasing salience, or making them more vivid) could raise the value curve (LL*) such that it no longer crosses the SS curve. Likewise, reducing the value of video games (by making them more difficult to access, or less normative) until the window of availability passes, could reduce temptation. Simultaneous enhancement of LL and reduction of SS could be the most efficient means for reducing likelihood of preference reversal in favor of a competing sedentary behavior.
Mentions: There are several maxims that can be derived from TST when applied to physical activity promotion, some of which align with current best practices, and others that are more novel:

Bottom Line: Most importantly, the TST model proposes positive feedback loops linking executive function (EF) and the performance of physical activity behavior.Specifically, those with relatively stronger executive control (and optimized brain structures supporting it, such as the dorsolateral prefrontal cortex (PFC)) are able to implement physical activity with more consistency than others, which in turn serves to strengthen the executive control network itself.The TST model has the potential to explain everyday variants of incidental physical activity, sport-related excellence via capacity for deliberate practice, and variability in the propensity to schedule and implement exercise routines.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Applied Health Sciences, University of Waterloo Waterloo, ON, Canada.

ABSTRACT
Dominant explanatory models for physical activity behavior are limited by the exclusion of several important components, including temporal dynamics, ecological forces, and neurobiological factors. The latter may be a critical omission, given the relevance of several aspects of cognitive function for the self-regulatory processes that are likely required for consistent implementation of physical activity behavior in everyday life. This narrative review introduces temporal self-regulation theory (TST; Hall and Fong, 2007, 2013) as a new explanatory model for physical activity behavior. Important features of the model include consideration of the default status of the physical activity behavior, as well as the disproportionate influence of temporally proximal behavioral contingencies. Most importantly, the TST model proposes positive feedback loops linking executive function (EF) and the performance of physical activity behavior. Specifically, those with relatively stronger executive control (and optimized brain structures supporting it, such as the dorsolateral prefrontal cortex (PFC)) are able to implement physical activity with more consistency than others, which in turn serves to strengthen the executive control network itself. The TST model has the potential to explain everyday variants of incidental physical activity, sport-related excellence via capacity for deliberate practice, and variability in the propensity to schedule and implement exercise routines.

No MeSH data available.