scholarly journals The Relationship Between Body Weight and Motor Skill Competence in Hispanic Low-SES Preschool Children

2016 ◽  
Vol 45 (4) ◽  
pp. 529-535 ◽  
Author(s):  
Michelle Hamilton ◽  
Ting Liu ◽  
Sayed ElGarhy
Keyword(s):  
Body Weight ◽  
Preschool Children ◽  
Motor Skill ◽  
Low Ses ◽  
Motor Skill Competence ◽  
The Relationship

Perceived Physical Competence and Actual Motor Skill Competence of African American Preschool Children

1997 ◽  
Vol 14 (4) ◽  
pp. 314-326 ◽  
Author(s):  
Jacqueline D. Goodway ◽  
Mary E. Rudisill
Keyword(s):  
African American ◽  
Preschool Children ◽  
Motor Development ◽  
Motor Skill ◽  
Physical Competence ◽  
Object Control ◽  
Gross Motor Development ◽  
And Gender ◽  
Motor Skill Competence ◽  
The Relationship

This study examined the relationship between perceived physical competence and actual motor skill competence in African American preschool children at risk of school failure and/or developmental delay (N = 59). A secondary purpose was to determine gender differences and the accuracy of self-perceptions. All children completed a perceived physical competence subscale (Harter & Pike, 1984). Actual motor skill competence was measured by Ulrich’s (1985) Test of Gross Motor Development (TGMD), resulting in three scores (locomotor, object-control, and TGMD-Total). Stepwise regression analysis revealed that locomotor competence (p = .99) and gender (p = .81) did not predict perceived physical competence, but object-control competence (p = .01) did significantly predict perceived physical competence. Adding gender to this regression model did not significantly predict perceived physical competence (p = .69). These findings showed that these children are not accurate at perceiving their physical competence.

The Relationship Between Motor Skill Proficiency and Body Mass Index in Preschool Children

2011 ◽  
Vol 82 (3) ◽  
pp. 442-448 ◽  
Author(s):  
Samuel W. Logan ◽  
Kristin Scrabis-Fletcher ◽  
Christopher Modlesky ◽  
Nancy Getchell
Keyword(s):  
Body Mass Index ◽  
Preschool Children ◽  
Body Mass ◽  
Motor Skill ◽  
The Relationship

scholarly journals Means of Optimizing Physical Activity in the Preschool Environment

2018 ◽  
Vol 14 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Dawn Podulka Coe
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Motor Skill ◽  
Activity Levels ◽  
Sedentary Behaviors ◽  
Physical Activity Guidelines ◽  
Formative Time ◽  
Motor Skill Competence ◽  
Physical Activity Environments ◽  
Preschool Setting

During early childhood, the preschool years serve as a formative time for the development of movement skills and healthy, active behaviors. Currently, one fifth of children in this population are overweight or obese and only half of the children participate in sufficient activity to meet recommendations. Physical activity guidelines for preschool children include both structured and unstructured activities of various intensities, limitations on sedentary behaviors, fundamental motor skill competence, and the inclusion of caregivers to facilitate activity. The majority of US children are enrolled in preschool programs, so this environment has the potential to significantly influence young children’s activity levels. Factors that have been associated with physical activity levels within the preschool setting include the influence of caregivers, the preschool environment, outdoor play, and motor skill development and competence. This review evaluated 16 publications in order to examine whether these factors had a significant impact on physical activity in the preschool setting. The findings from this review suggest the use of a multicomponent model, including the factors evaluated, may be the optimal strategy to increase activity levels in preschool children. Policy related to these factors should be created and implemented in order to facilitate optimal physical activity environments for preschool children.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

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