Examining the relationship between children's active play imagery and basic psychological needs

Tobin, Danielle; Munroe‐Chandler, Krista J.; Hall, Craig; Guerrero, Michelle D.; Shirazipour, Celina H.; Cooke, Lisa M

doi:10.1080/1612197x.2015.1069875

Cited by 6 publications

(5 citation statements)

References 39 publications

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“…The perceived barriers to action could prevent the studied participants from engaging in stretching exercise. The results of this study repeat the results of the previous studies [22][23][24][25][26] . On the other hand, there was no clear relationship between self-regulation and stretching exercise.…”

Section: Discussionsupporting

confidence: 91%

Determinants of Stretching Exercise Behavior among Office Employees using Health Promotion Model with Added Constructs

Delshad¹,

Tavafian²,

Kazemnejad³

2019

J Liaquat Uni Med Health Sci

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OBJECTIVE: To determinant the influencing factors on Stretching Exercise (SE) among office employees working in Shahid Beheshti University of Medical Sciences (SBUMS) in Iran through Health Promotion Model (HPM) with added constructs. METHODOLOGY: Data were collected by a researcher-made and standard questionnaires based on HPM and added constructs of self-regulation, counter-conditioning, and stimulus control questionnaire regarding stretching exercise behavior among office employees working in comprehensive service centers affiliated to SBUMS. A multistage cluster sampling from May to Sep 2017 was done. To determinants the factors which effect on doing stretching exercise behavior; regression analysis was done through using SPSS 19 software. RESULTS: Totally 420 office employees with mean age of 37.1±8.03 years participated in this study. Perceived barriers to action (B =-0.106, P<0.001), could prevent the studied participants from engaging in SE. However, perceived self efficacy (B = 0.172, P < 0.001), commitment to a plan of action (B = 0.173, P=0.016), interpersonal influences (B = 0.099, P=0.003), and stimulus control (B = 0.193, P=0.007) were significant determinants for SE behavior. CONCLUSION: This study showed that the office employees who were more perceived self efficacy, commitment to a plan of action, interpersonal influences, stimulus control and less perceived barriers were more likely to perform stretching exercise.

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Section: Discussionsupporting

confidence: 91%

Determinants of Stretching Exercise Behavior among Office Employees using Health Promotion Model with Added Constructs

Delshad¹,

Tavafian²,

Kazemnejad³

2019

J Liaquat Uni Med Health Sci

View full text Add to dashboard Cite

show abstract

“…Therefore, most of the model algorithms are too complicated. The model calculation speed is slow, and the energy consumption is huge, which cannot meet the needs of fast and low energy consumption [ 15 ]. And in the process of building models in the past, due to mistakes borrowing from other mental models, more erroneous data were obtained [ 16 ].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

Wang

2021

Computational Intelligence and Neuroscience

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In recent years, there are many problems in the study of intelligent simulation of children’s psychological path selection, among which the main problem is to ignore the factors of children’s psychological path selection. Based on this, this paper studies the application of chaotic neural network algorithm in children’s mental path selection. First, an intelligent simulation model for children’s mental path selection based on chaotic neural network algorithm is established; second, it will combine the network based on different types of visual analysis strategies. The model is used to analyze the influencing factors of children in different regions in the choice of psychological paths. Finally, experiments are designed to verify the actual application effect of the simulation model. The results show that compared with the current mainstream intelligent simulation methods with iterative loop algorithms as the core, it adopts the intelligent simulation model based on the chaotic neural network algorithm has a good classification effect. It can effectively select the optimal psychological path according to the differences in children’s personality and can adaptively classify children in different regions, and the experimental results are accurate. Compared with the traditional method, it is improved by at least 37%.

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“…With regard to the public health agenda, there are concerns over the widely reported increases in childhood inactivity. While the role of imagery ability has been largely overlooked as a potential mediator in this context, Guerrero and Munroe-Chandler's (2017) article is one of the first to examine this issue.…”

Section: Factors Influencing Imagery Abilitymentioning

confidence: 99%

“…Its frequent and systematic use is a characteristic of talented performers and long known to distinguish successful athletes from those who are less successful (Cumming & Hall, 2002; Kosslyn, Brunn, Cave, & Wallach, 1984; Rees et al., 2016). There is also increasing recognition that imagery can be used to promote and maintain physical activity behavior (Weibull, Cumming, Cooley, Williams, & Burns, 2017) in a range of groups, from children and young people (Tobin et al., 2017) to older adults (Giacobbi et al., 2014). Regardless of the context or who is undertaking the imagery, a factor known to influence it's effectiveness is an “individual’s capability to form vivid, controllable images, and retain them for a sufficient time to effect the desired imagery rehearsal” (Morris et al., 2005, p. 37).…”

mentioning

confidence: 99%

The Nature, Measurement, and Development of Imagery Ability

Cumming

Eaves

2018

Imagination, Cognition and Personality

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This introduction to a special issue of Imagination, Cognition and Personality discusses how imagery ability is conceptualized, measured, and developed within sport and exercise sciences. Drawing from the model of imagery ability in sport, exercise, and dance, we explain that imagery ability is best understood not as a single undifferentiated general ability but as a complex multiprocess, multisensory, and multidimensional set of capacities. We argue that a more nuanced way of understanding imagery ability and its subcomponents should guide the development and selection of appropriate measurement tools and training methods. Finally, we introduce the four articles that make up this special issue on imagery ability, which collectively present a range of approaches for progressing this area of research further.

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Examining the relationship between children's active play imagery and basic psychological needs

Cited by 6 publications

References 39 publications

Determinants of Stretching Exercise Behavior among Office Employees using Health Promotion Model with Added Constructs

Determinants of Stretching Exercise Behavior among Office Employees using Health Promotion Model with Added Constructs

[Retracted] Intelligent Simulation of Children’s Psychological Path Selection Based on Chaotic Neural Network Algorithm

The Nature, Measurement, and Development of Imagery Ability

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