Le Bonheur
Memphis, Tennessee, 38103, United States
NCT Number: NCT03342924
Cognitive Control is crucial for learning and development. This study examined the associations between cognitive control and physical fitness and body composition among ethnic minority children.
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Notify Me8 year–12 year
All sexes
Interventional
Not applicable
Memphis, Tennessee, 38103, United States
Cognitive control, or executive function, refers to a subset of goal-directed processes that are involved in perception, memory, attention, behavioral inhibition, verbal reasoning, and monitoring of actions. These aspects of cognitive control have been shown to have a direct association with academic performance, particularly mathematics and literacy. Many social and environmental factors impact the maturation of cognitive control, which can affect the growth and behavioral development of children. Physical activity has been shown to improve the functioning of the prefrontal cortex, which plays a central role in cognitive functioning. Studies have shown that children have better cognitive skills and grades when given a regimen of regular physical activity as well as executive control. Aerobic fitness has been correlated with faster reaction times as well as more accurate responses and higher prefrontal brain activity, which can enhance visuomotor function and proactive inhibition. In addition to positive health benefits, physical fitness, a product of the regular physical activity, is found to be positively associated with self-esteem, academic performance, and cognitive control. Growing evidence suggests that cognitive control may be inversely associated with obesity in childhood, adulthood, and in the elderly. The current rate of childhood obesity in the U.S. is 31.8% with poor physical fitness levels and increased sedentary behaviors as major contributors to the problem. Pediatric obesity may have negative implications on cognition, specifically memory, psychomotor speed, reaction time, complex attention, executive function and cognitive flexibility with a potential for decreased awareness or motivation in girls specifically. Overweight, inactive children, when compared to normal weight, active children, have exhibited lower planning and attention scores with detrimental effects on inhibitory control and psychosocial outcomes among girls ages nine to fifteen While new information continues to support the negative association between obesity and cognitive function, the direction of the relationship remains unclear. The extant literature also suggests that there is an inverse relationship between socioeconomic status and obesity and cognition. A recent study supported the influence of BMI on child executive control and BMI's inverse correlation with income, academic readiness, social competence and behavioral adjustment. Another study showed that white non-Hispanic and Hispanic children in fifth and seventh grades with lower socioeconomic status had a higher rate of obesity with inverse relationship most apparent in White non-Hispanic girls and fifth-grade Hispanic boys. A negative association has been observed between obesity and pattern construction in boys and vocabulary and pattern construction in girls. While there have been cross-sectional and randomized clinical trial studies correlating obesity and fitness with cognitive control, these studies fail to evaluate diverse racial/ethnic minority populations. Incorporating minority groups and gender differences into these associations are very important in generalizing findings to diverse demographics. Given the paucity of research examining the cumulative impact of obesity and physical fitness on cognition among diverse children, this study seeks to address gaps in the literature. This study utilized a comprehensive field test battery to evaluate associations among body composition, cardiovascular endurance, muscular strength and endurance, and motor skills, on executive control with gender, age, and race/ethnicity as mediators. This study is particularly relevant for Hispanic and African-American youth who show high rates of overweight and obesity
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Socioeconomic status was determined using a trichotomous index. Inbody was used to assess body composition. To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality. Cognitive control was assessed using a computer-based Flanker Task.
Time frame: 8 weeks
Cognitive control was assessed using a computer-based Flanker Task.
Time frame: 8 weeks
Socioeconomic status was determined using a trichotomous index developed by Birnbaum et al. 2002 based on participation in free or reduced-price lunch program at school, the highest level of education attained by the mother and father, and the number of parents who worked full-time.
Time frame: 8 weeks
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality. The NIH Toolbox two-minute Walk Endurance test was used to assess aerobic endurance.
Time frame: 8 weeks
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality.. A Jamar Plus handgrip dynamometer was used to assess right and left arm strength (kg).
Time frame: 8 weeks
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality. To assess lower body power, a counter movement vertical jump was used.
Time frame: 8 weeks
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition. Information recorded included body weight, which was measured in pounds.
Time frame: 8 weeks
Waist circumference was used as a determinant of central obesity and was measured in centimeters using a Gulick spring loaded measuring tape.
Time frame: 8 weeks
A portable anthropometer was used to measure sagittal abdominal height in centimeters as an indirect measure of visceral adiposity.
Time frame: 8 weeks
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition. Information recorded included percent body fat.
Time frame: 8 weeks
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition. Information recorded included Body Mass Index.
Time frame: 8 weeks
Height was measured using a Weigh Beam Eye-Level physicians' scale
University of Miami
Other
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