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Is approaching sedentary behaviour or physical activity a reward? An EEG study.
Wang, Yu-Bu; Sun, Xiao-Tong; Mao, Zhi-Xiong.
Affiliation
  • Wang YB; Beijing Sport University, School of Psychology, Beijing, China. Electronic address: 18811440431@163.com.
  • Sun XT; Beijing Sport University, School of Psychology, Beijing, China. Electronic address: Sunxiaotong0312@163.com.
  • Mao ZX; Beijing Sport University, School of Psychology, Beijing, China. Electronic address: zhxmao@bsu.edu.cn.
Behav Brain Res ; 445: 114364, 2023 05 08.
Article in En | MEDLINE | ID: mdl-36854363
ABSTRACT

OBJECTIVE:

To understand why individuals (do not) exercise, our study examined differences in approach and avoidance tendencies towards physical activity and sedentary behaviours among runners and non-runners, especially at the neural level.

METHODS:

Using electroencephalography (EEG), 31 participants completed an approach-avoidance task.

RESULTS:

We found that at the behavioural level, non-runners were faster to approach sedentary behaviour relative to runners. However, at the neural level, they both had a tendency to avoid physical activity. Specifically, avoiding physical activity had less conflict monitoring (smaller N1), required more cognitive processes (larger P3), and was more neurologically efficient (higher alpha coherence).

CONCLUSIONS:

These results supported the theory of effort minimization in physical activity (TEMPA), with both runners and non-runners regarding sedentary behaviour as a reward. DATA AVAILABILITY STATEMENT The authors confirm that the data supporting the findings of this study are available within the article [and/or] its supplementary materials.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Sedentary Behavior Limits: Humans Language: En Journal: Behav Brain Res Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Exercise / Sedentary Behavior Limits: Humans Language: En Journal: Behav Brain Res Year: 2023 Document type: Article